<<

applied sciences

Article An Experimental Investigation of Turbulence Features Induced by Typical Artificial M-Shaped Unit Reefs

Anping Shu 1,*, Jiping Qin 1, Matteo Rubinato 2 , Tao Sun 1, Mengyao Wang 3, Shu Wang 1 , Le Wang 4 , Jiapin Zhu 1 and Fuyang Zhu 5

1 School of Environment, Key Laboratory of Water and Sediment Sciences of MOE, Beijing Normal University, Beijing 100875, China; [email protected] (J.Q.); [email protected] (T.S.); [email protected] (S.W.); [email protected] (J.Z.) 2 School of Energy, Construction and Environment & Centre for Agroecology, Water and Resilience, Coventry University, Coventry CV1 5FB, UK; [email protected] 3 Beijing Water Resources Dispatching Center, Beijing 100038, China; [email protected] 4 School of Water Resources and Hydropower Engineering, North China Electric Power University, Beijing 102206, China; [email protected] 5 Power China Zhong Nan Engineering Corporation Limited, Changsha 410014, China; [email protected] * Correspondence: [email protected]; Tel.: +86-135-0117-6507

Abstract: Artificial reefs are considered to have the function of repairing and improving the coastal habitat and increasing the fishery production, which are mainly achieved by changing the regional hydrodynamic conditions. The characteristics of flow turbulence structure are an important part of the regional hydrodynamic characteristics. Different methods are used to evaluate the performance  of artificial reefs according to their shape and the purpose for which the was built. For this study,  the M-shaped unit reefs, which are to be put into the area of Liaodong Bay, were selected as the Citation: Shu, A.; Qin, J.; Rubinato, research object and have never been fully investigated before. Experimental tests were conducted to M.; Sun, T.; Wang, M.; Wang, S.; assess the effect of these M-shaped artificial reefs on the vertical and longitudinal turbulent intensity Wang, L.; Zhu, J.; Zhu, F. An under different hydraulic conditions and geometries, and datasets were collected by using the Particle Experimental Investigation of Image Velocimetry technique implemented within the experimental facility. The distribution and Turbulence Features Induced by variation characteristics of the turbulence intensity were analyzed, and the main results obtained can Typical Artificial M-Shaped Unit confirm that in the artificial reef area, there was an extremely clear turbulent boundary. Furthermore, Reefs. Appl. Sci. 2021, 11, 1393. the area of influence of the longitudinal turbulence was identified to be larger than that of the https://doi.org/10.3390/app11041393 vertical turbulence, and the position where the maximum turbulence intensity appeared was close to where the maximum velocity was measured. Finally, results demonstrate that low turbulence Academic Editor: Dibyendu Sarkar Received: 27 December 2020 conditions are typically located in front of the unit reef, the general turbulence area is located within Accepted: 28 January 2021 the zone, and the more intense turbulence area is located between the two M-shaped Published: 4 February 2021 monocases. These results are extremely important, because they provide the local authorities with specific knowledge about what could be the effect of these M-shaped reefs within the area where Publisher’s Note: MDPI stays neutral they will be implemented, and therefore, specific actions can be taken in consideration with the with regard to jurisdictional claims in geometrical setup suggested as an optimal within this study. published maps and institutional affil- iations. Keywords: Liaodong Bay; Bohai Sea; artificial reef; turbulence; particle image velocimetry; experi- mental modeling

Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. 1. Introduction This article is an open access article In recent years, due to the pollution of offshore environments, their habitat degra- distributed under the terms and dation, overfishing activities, and effect generated by the climate change, global marine conditions of the Creative Commons fisheries have significantly declined [1–7]. Nowadays, artificial reefs, submerged structures Attribution (CC BY) license (https:// deliberately constructed or placed on the seabed to emulate some functions of a natural reef, creativecommons.org/licenses/by/ are some of the techniques adopted to protect, regenerate, or enhance the population of 4.0/).

Appl. Sci. 2021, 11, 1393. https://doi.org/10.3390/app11041393 https://www.mdpi.com/journal/applsci Appl. Sci. 2021, 11, 1393 2 of 21

living marine resources [8]. Over the last decade, artificial reefs have also been considered to be an effective measure to reduce the impact of human activities on coastal and increase fishery production, and recent studies have confirmed these properties [9–15]. The flow fields generated by artificial reefs are considered to be the source of the major benefits that these structures may have on marine environments. By deploying artificial reefs into open biological environments, there will certainly be disruptions to the original smooth flow fields; however, the new currents generated may facilitate salt transport, enriching coastal ecosystems and providing vital sources and an ideal habitat for reef fish [16–18]. Different configurations can in fact influence the flows passing through these structures, generating specific currents that could aid the deposition of solid material as well as the exchange of nutrients between multiple layers, with a consequent beneficial aspect for fish expansion [19,20]. Furthermore, these structures may also be used as pro- tection or gathering areas by fish or other organisms, because the gentle and stable eddy currents created on the back of them could support the deposition of nutrients and function as a shield that is useful for avoiding enemies or larger predators [21–27]. Research on the hydrodynamics of artificial reefs is primarily based on insights ob- tained within experimental and numerical modeling of different reef types, individual or as a combination of various geometries, and to date, based on the authors’ knowledge, the main scope was to identify characteristics and changes of upwelling and eddy currents induced by these artificial structures [8,28–38]. However, there is a paucity of studies related to the turbulence around these artificial reefs. Turbulence represents the most effective mixing factor that can be met in nature on small as well as large scales [39]. In coastal areas, turbulence structures affect the chemical and physical interaction between the reefs and the surrounding features [40], and they have a strong impact on the typology of different aquatic organisms that may have dissimilar preferences for either high or low turbulent flow conditions. Therefore, turbulence is considered to be an extremely important factor affecting the larval survival and recruitment of pelagic fish [41,42]. Previous studies on the turbulent characteristics of natural reefs confirm that turbulent mixing controls the vertical coupling between the implantation layer and the overlying water, and it determines the vertical transport of heat, food, pollutants, lar- vae, or nutrients from the seabed community [40,43–45]. At the same time, an improved understanding of turbulent processes on coral reefs is crucial for the prediction of mo- mentum, energy, and scalar transport, and from an understanding of these basic fluxes, it could be possible to learn more insights about the physics that shape reef pro- cesses [46,47], sediment suspension and transport [48], and larval settlement on reefs [49]. Many mollusc veligers change their behavior in response to turbulence, and variations in these responses provide clues to whether or how adult habitat structure shapes larval behavior [50]. A study conducted by Fuchs et al. [50] has shown that larvae (Cras- sostrea virginica) could enhance their settlement success by moving toward the seafloor in the strong turbulence areas associated with coastal habitats, and the speeds that larvae propelled themselves downward rose steadily with turbulence intensity to several times the terminal fall velocity in still water [50]. Turbulence mixing is the major driver to change the physicochemical characteristics of water column, and it can, for example, not only facilitate transport from water to surface sediment, but it can also enhance sediment suspension, which is one of the key processes affecting water and indirectly influ- encing eutrophication in shallow lakes [51,52]. A previous study completed by Li et al. [53] confirmed that turbulence intensity plays an important role in internal phosphorus release: the results presented demonstrated that strong turbulence caused a reduction of phos- phate in the overlying water, oxygen delivery was enhanced under moderate turbulence mixing, and turbulence induced high suspended sediment adsorption, contributing more intensively to phosphorous (P) inactivation [53]. Recent studies [54–56] have shown that turbulence may also affect the feeding of marine organisms such as and other fish. Furthermore, turbulent motions in the surrounding flows can be important also for the Appl. Sci. 2021, 11, x FOR PEER REVIEW 3 of 21

Appl. Sci. 2021, 11, 1393 3 of 21

be important also for the encounters of aquatic microorganisms and their prey by bringing predators and prey close from time to time and thereby enhancing the probability of cap- encounters of aquatic microorganisms and their prey by bringing predators and prey close ture even without relying on self-induced motions [57–61]. Nevertheless, sometimes, tur- from time to time and thereby enhancing the probability of capture even without relying bulence can also provide organisms with hydrodynamic signals that may be wrongly in- on self-induced motions [57–61]. Nevertheless, sometimes, turbulence can also provide terpreted as generated by an approaching predator, which may affect their behavior and organisms with hydrodynamic signals that may be wrongly interpreted as generated by the energetic cost of swimming [62]. In addition, the presence of turbulence can change an approaching predator, which may affect their behavior and the energetic cost of swim- the particles’ settling velocity, which subsequently alters the within the sus- ming [62]. In addition, the presence of turbulence can change the particles’ settling velocity, pensionwhich subsequently layer. Thus, turbulence alters the concentration is an influencing within factor the for suspension sediment layer. transport Thus, and turbulence seabed evolutionis an influencing as well factor[63,64]. for Considering sediment transport all these and impacts seabed that evolution turbulence as well may [63 have,64]. Consid-in ma- rineering environments, all these impacts it is that necessary turbulence to furthe may haver study in marine the turbulent environments, characteristics it is necessary of flow to fieldsfurther altered study by the the turbulent presence characteristics of artificial re ofefs, flow because fields these altered features, by the presenceas previously of artificial men- tioned,reefs, because are being these adopted features, more as previouslyfrequently mentioned,for coastal protection, are being adopted rehabilitation, more frequently and res- toration.for coastal protection, rehabilitation, and restoration. ToTo achieve this aimaim andand fillfill this this gap gap identified identified in in the the literature, literature, this this study study focuses focuses on theon theexperimental experimental modeling modeling of M-shaped of M-shaped unit reefs,unit reefs, which which are to beare put to intobe put the into typical the artificialtypical artificialreef area reef of Liaodongarea of Liaodong Bay (China) Bay (China) next to next the Bohaito the SeaBohai (Figure Sea (Figure1). The 1). experimental The experi- mentalcampaign campaign involved involved testing differenttesting different inflow velocities inflow velocities and spacing and of spacing these M-shaped of these unitM- shapedreefs, and unit results reefs, haveand beenresults collected have been using collected the Particle using Image the Particle Velocimetry Image (PIV) Velocimetry method. (PIV)The characteristics method. The characteristic of turbulences intensity of turbulence and its intensity variation and under its variation different under flow conditions different flowwere conditions then analyzed, were and then results analyzed, have and been results presented have to been characterize presented specific to characterize turbulent spe- flow cificfeatures turbulent in typical flow M-shaped features unitin typical artificial M-shaped reefs, which unit should artificial be takenreefs, intowhich consideration should be takenin Liaodong into consideration Bay, where thesein Liaodong structures Bay, will wh beere used. these Furthermore, structures will outcomes be used. obtained Further- in more,this study outcomes can provide obtained a reference in this study for improvingcan provide artificial a reference reef configurations,for improving artificial which are reef in configurations,continuous development. which are in continuous development.

FigureFigure 1. Study 1. Study site site of the of theLiaodong Liaodong Bay Bay (China) (China) in Bohai in Bohai Sea, Sea, China. China.

Appl. Sci. 2021, 11, x FOR PEER REVIEW 4 of 21

Appl. Sci. 2021, 11, 1393 4 of 21

2. Experimental Setup 2.2.1. Experimental Experimental SetupModel 2.1. ExperimentalThe experiments Model were carried out in a multi-functional flume in the State Key Labor- atoryThe of Water experiments Environment were carried Simulation, out in at a multi-functionalBeijing Normal University, flume in the China. State KeyThe internal Labora- torydimensions of Water of Environment the flume are Simulation, 25.00 m × at0.80 Beijing m × 0.80 Normal m (length University, × width China. × height), The internal whose dimensionsbottom and side of the are flume made areof transparent 25.00 m × glass.0.80 mThe× flow0.80 is m generated (length ×bywidth a complete× height), water whosecirculation bottom system, and side and arethe made maximum of transparent flow rate glass. is 240 The L/s. flow is generated by a complete waterThe circulation reef monocase system, model and the used maximum for this flowstud ratey is 0.06 is 240 m L/s. × 0.06 m × 0.044 m in size, 3 mm Thein thickness, reef monocase 4 mm in model round used hole for radius, this study and 4° is in 0.06 triangle m × 0.06 angle, m ×which0.044 was m in scaled size, 3by mm a geometric in thickness, factor 4 mm of 1:50 in round according hole radius,to the prototype and 4◦ in size triangle of the angle, M-shaped which reef was (Figure scaled by2). aThe geometric field observation factor of 1:50 of accordingthe daily toflow the ve prototypelocity reported size of thein the M-shaped Liaodong reef Bay (Figure varied2 ). Thebetween field 0.6 observation and 1.8 m/s, of which the daily corresponds flow velocity to a design reported flow in velocity the Liaodong 0.085–0.257 Bay variedm/s or betweenflow rate 0.6 20–60 and L/s 1.8 range m/s, whichaccording corresponds to the sc toale a factor design specified flow velocity here. 0.085–0.257The M-shaped m/s reef or flowmodels rate were 20–60 made L/s rangeof plexiglass. according Each to theM-shap scaleed factor unit specifiedreef is composed here. The of M-shaped 14 reef mono- reef modelscases. In were order made to avoid of plexiglass. drifting Eachand rolling, M-shaped the unit reef reef models is composed were fixed of 14 on reef the monocases. bottom of Inthe order flume to with avoid transparent drifting and rubber rolling, belt the and reef were models located were perpendicular fixed on the bottom to the of flow the flumedirec- withtion. transparent rubber belt and were located perpendicular to the flow direction.

FigureFigure 2.2. Three views andand schematicschematic diagramdiagram ofof M-shapedM-shaped artificialartificial reefreef prototype.prototype.

The Particle Image Velocimetry (PIV)(PIV) methodmethod was adopted to investigate flowflow con- ditions. This is a non-contact two-dimensionaltwo-dimensional flowflow fieldfield measurementmeasurement technologytechnology basedbased on cross-correlation analysis of flowflow fieldfield images, which can produce a quantitative visu- alization effect ofof instantaneousinstantaneous flowflow patternspatterns withoutwithout disruptingdisrupting thethe phenomenaphenomena underunder analysis. It is usuallyusually usedused toto supportsupport thethe developmentdevelopment ofof phenomenologicalphenomenological modelsmodels forfor complexcomplex flowflow oror numericalnumerical simulationsimulation verification.verification. ItIt hashas becomebecome thethe mainmain experimentalexperimental techniquetechnique forfor measuringmeasuring flowflow velocity velocity fields fields [ 65[65–67]–67] and and has has been been widely widely used used in in the the analy- anal- sisysis of of flow flow field field around around artificial artificial reef reef models models in recent in recent years years [30,31 [30,31]] as well as well as for as other for other flow applications [68–72]. The fluid velocity was calculated using an adaptive cross-correlation technique, keeping an interrogation area of 1903.5 × 1183.5 pixels with consideration

Appl. Sci. 2021, 11, x FOR PEER REVIEW 5 of 21

Appl. Sci. 2021, 11, 1393 5 of 21 flow applications [68–72]. The fluid velocity was calculated using an adaptive cross-cor- relation technique, keeping an interrogation area of 1903.5 × 1183.5 pixels with considera- tionof 80 of pixel 80 pixel overlap overlap between between two adjacenttwo adjacent areas. areas. Median Median correction correction post-processing post-processing was wasapplied applied to remove to remove erroneous erroneous vectors, vectors, which wh removedich removed approximately approximately 2 to 7% 2 to vectors 7% vectors from fromeach measurementeach measurement set. To set. validate To validate this technique, this technique, an Acoustic an Acoustic Doppler Doppler Current Velocimetry Ve- (ADV)locimetry was (ADV) installed was 2 installed m in front 2 ofm thein front test targetof the totest measure target to the measure inflow velocitythe inflow and velocity results andcompared results withcompared PIV outputs with PIV were outputs within were the within range the of 4% range error. of 4% With error. the With artificial the arti- reef ficialmodel reef placed model in placed the middle in the of middle the flume, of th thee flume, laser the used laser for used the PIV for datathe PIV collection data collec- was placedtion was at placed the bottom at the of bottom the tank of to the hit thetank central to hit axisthe ofcentral the reef axis model. of the Thereef images model. were The imagescaptured were by acaptured CCD (Charge by a CCD Coupled (Charge Device) Coupled camera Device) and consequentlycamera and consequently analyzed using an- alyzedDynamic using Studio Dynamic software Studio [73]. software The velocity [73]. mapsThe velocity produced maps were produced finally visualizedwere finally using vis- Tecplotualized software.using Tecplot A full software. experimental A full setupexperimental is illustrated setup in is Figure illustrated3. in Figure 3.

FigureFigure 3. Experimental 3. Experimental setup setup and and Particle Particle Image Image Velocimetry Velocimetry (PIV) (PIV) system system installation. installation.

2.2. Experimental Design The unit reef model is composed of three sub reefs, which are parallel to the flowflow direction in the prototype arrangement.arrangement. Alon Alongg the flowflow direction, the spacingspacing betweenbetween each reef monocases group is 18.85 m (Figure4 4),), whichwhich shouldshould bebe 377377 mmmm inin thethe flumeflume experiment according to Froude similarity adoptedadopted [[30].30]. On this basis, multiplemultiple setupssetups were studied,studied, withwith the the spacing spacing reduced reduced and and expanded, expanded, replicating replicating different different configurations, configura- whichtions, which were (1) wereL1 = (1) 0.75 L1L =2 0.75= 283 L2 mm, = 283 (2) mm,L2 = (2) 377 L mm2 = 377 as themm basic as the spacing basic typicallyspacing typically adopted adoptedin the real in case the scenario,real case andscenario, (3) L3 and= 1.25 (3)L L23 == 4711.25 mm, L2 = 471 respectively. mm, respectively. According According to the study to thecompleted study completed by Cui et by al. [Cui74], et which al. [74], stated which that stated the most that the optimal most spacingoptimal betweenspacing between the two thereef two monocases reef monocases should be should≈1.0–1.5 be ≈ times1.0–1.5 the times length the of length the reef, of thethe spacingreef, the between spacing two be- tweenmonocases two monocases in each group in each was setgroup as one was time set theas one model time length, the model which length, was 60 which mm. Allwas the 60 mm.geometrical All the configurations geometrical configurations tested in this study tested are in displayed this study in Figureare displayed5. Group in A, GroupFigure B,5. Groupand Group A, Group C correspond B, and Group to the threeC correspond sets of artificial to the reefs,three assets displayed of artificial in Figure reefs,5 .as dis- played in Figure 5.

Appl. Sci. 2021, 11, 1393 6 of 21 Appl. Sci. 2021, 11, x FOR PEER REVIEW 6 of 21 Appl. Sci. 2021, 11, x FOR PEER REVIEW 6 of 21

Figure 4. Schematic diagram of M-shaped artificial reef group prototype. Figure 4. Schematic diagram of M-shaped artificialartificial reef groupgroup prototype.prototype.

Figure 5. Three geometrical configurations of artificial reefs in the present experimental work. FigureFigure 5. Three 5. Three geometrical geometrical configurations configurations of ofartifici artificialal reefs reefs in inthe the present present experimental experimental work. work.

Appl. Sci. 2021, 11, 1393 7 of 21

2.3. Hydraulic Conditions Five velocities measured during a field campaign in the sea area of Juehua Island, where the M-shaped artificial reef prototypes will be released, were selected to be replicated in this study. These velocities are 0.6, 0.9, 1.2, 1.5, and 1.8 m/s, and they were obtained by releasing the flow Q as 20, 30, 40, 50, and 60 L/s, respectively (±2.5%). Based on the Froude similarity adopted, the correspondent experimental velocities tested within the experimental facility were then 0.085, 0.130, 0.170, 0.214, and 0.257 m/s, respectively; therefore, the values replicated were within ±0.86% of the values measured in the field. The experimental water depth tested in the laboratory was 300 mm, and it was calculated using Froude similarity as well, according to the actual water depth recorded in situ, 15 m. To sum up, a total of 20 groups of experiments were conducted, including four geometrical conditions (1, 2, and 3 previously explained plus a controlled test with no artificial reefs, called 0), and five flow conditions with dissimilar velocities. All these experimental details are summarized and displayed in Table1.

Table 1. Testing conditions.

Experimental Group (Test Case) L (mm) u0 (mm) Fr 0 (1–5) \ 0.085–0.257 0.05–0.15 1 (1–5) 283 0.085–0.257 0.05–0.15 2 (1–5) 377 0.085–0.257 0.05–0.15 3 (1–5) 471 0.085–0.257 0.05–0.15

Note: L: the spacing between each artificial reef; u0: the averaged inflow velocity.

3. Methods 3.1. Quantification of Turbulence Velocity The fluctuating flow structure mainly refers to the distribution of turbulence intensity, which is an important index commonly used to describe the characteristics of turbulent flow fields. The velocity of each point in the turbulent flow changes with time, but if considering a long time duration, its time-averaged value is relatively stable. Therefore, the time- averaged velocity can be calculated as follows:

1 N Time − averaged velocity u = ∑ ui (1) N i=1

The value obtained by subtracting the instantaneous velocity from the average velocity at a point is the fluctuating velocity, also known as turbulence velocity, which is one of the most important characteristics of flow turbulence.

Turbulencevelocity umi = ui − u (2)

In Equations (1) and (2), ui is the longitudinal instantaneous velocity at point i; umi is the longitudinal turbulence velocity; and N is the number of sampling statistics. The ex- pressions of vertical velocity vi are similar.

3.2. Quantification of Turbulence Intensity Turbulence velocity may have positive–negative points, which is not convenient for statistical comparison. Appl. Sci. 2021, 11, 1393 8 of 21

In order to compare the intensity of turbulence at different points more intuitively, the root mean square of turbulent velocity is usually used to represent the intensity of turbulence. Thus, mean square velocity and turbulence intensity are calculated as follows:

N 2 02 1 Mean square velocity u = ∑(ui − u) (3) N i=1 q 02 Turbulence itensity σu = u (4) The turbulence intensity is usually treated to make it dimensionless. For example, 0 σu the relative turbulence intensity σ u = is used to represent the turbulence intensity of u0 the flow, where u0 is the inflow velocity (the turbulence intensity mentioned below is the relative turbulence intensity).

3.3. Estimation of Reynolds Shear Stress Reynolds shear stress is the shear stress between the flow layers due to the water momentum exchange and can be quantified as follows:

0 0 Reynolds shear stress τuν = −ρu ν (5)

As for the turbulence intensity, the Reynolds shear stress is also usually treated to u0ν0 make it dimensionless. For example, the relative Reynolds shear stress R = 2 is used to u0 represent the Reynolds shear stress on the XY plane.

4. Results and Discussion 4.1. Characteristics of Turbulence Intensity Distribution along the Flow Direction The changes of turbulence intensity in the proximity of the unit reef tend to be consistent under different working conditions, as displayed in Figures6 and7, which show the distribution of turbulence intensity under the worst scenario for the velocities tested and each geometrical setup; therefore, tests 0-5, 1-5, 2-5, and 3-5 displayed in Table2 show the average values for the longitudinal and vertical turbulence intensity over the whole study range. Appl. Sci. 2021, 11, x FOR PEER REVIEW 9 of 21

of the reef, while the larger vertical turbulence intensity (>0.16) is about 2–4 times the height of the reef. Moreover, the location of the area with larger longitudinal turbulence intensity is higher than that of the vertical turbulence intensity, as expected. Before entering the reef area, the longitudinal turbulence intensity gradually in- creases from the bottom at about 2.8 times the height of the reef in front of it, and along the flow direction, the turbulence height increases, which is close to the position where the current uplifts. The vertical turbulence intensity begins to change from the bottom at about 1 time the length in front of the reef. These results indicate that the blocking effect of artificial reefs is mainly reflected in the longitudinal velocity. Analyzing the longitudinal turbulence intensity under different working conditions, the magnitude of the numerical values and the area affected can be classified as follows: condition 2-5 > condition 1-5 > condition 3-5, but in terms of average turbulence intensity, this is the final order: condition 3-5 > condition 1-5 > condition 2-5. Analyzing the vertical turbulence intensity calculated for different geometrical and hydraulics of the worst scenario (higher velocities), the magnitude of the numerical values obtained and the length of the area affected follow this order: condition 1-5 > condition 2- Appl. Sci. 2021, 11, 1393 5 > condition 3-5, but in terms of average vertical turbulence intensity, the order changes 9 of 21 to condition 1-5 > condition 3-5 > condition 2-5.

(a) Run 0-5

(b) Run 1-5

(c) Run 2-5

(d) Run 3-5

Appl. Sci. 2021, 11, x FOR PEER REVIEW 10 of 21

FigureFigure 6. Longitudinal 6. Longitudinal turbulence turbulence intensityintensity fo forr cases cases 0-5, 0-5, 1-5, 1-5, 2-5, 2-5, and and 3-5. 3-5.

(a) Run 0-5

(b) Run 1-5

(c) Run 2-5

(d) Run 3-5

FigureFigure 7. Vertical 7. Vertical turbulence turbulence intensity intensity for cases 0-5, 0-5, 1-5, 1-5, 2-5, 2-5, and and 3-5. 3-5.

If values of longitudinal and vertical turbulence intensity are combined, the perfor- mance follows this order: condition 1-5 > condition 2-5 > condition 3-5; that is, L1>L2>L3, which indicates that when the spacing is small, the impact of reef on the flow is greater and the turbulence is stronger. Nevertheless, it can also be observed that due to the presence of the artificial reefs, the whole unit reef area is characterized by a relatively large turbulence intensity. Higher values of turbulence intensity initiate above the reef, following in parallel the flow stream- lines and spreading outward with a strip shape, which is obviously greater than the sur- rounding turbulence intensity. By comparing the turbulence intensity of the three condi- tions with the control experiment (0-5) focusing on the same areas where the artificial reefs are located, the longitudinal and vertical turbulence intensity increased by 53.6% and 76.8%, respectively. Table 2 displays the average values of longitudinal and vertical turbulence for cases 0-5, 1-5, 2-5, and 3-5. It is possible to notice that the real scenario, 2-5, has lower values of turbulence in comparison with the spacing configurations suggested with 1-5 and 3-5. Therefore, configurations suggested by the authors (1 and 3) could be more beneficial to fish and the ecology of the reefs, because stronger turbulence could provide more food and nutrients within the entire area under investigation [75].

4.2. Characteristics of Turbulence Intensity along the Entire Flow Depth Although the maps produced for the turbulence within the artificial reefs can clearly show the overall variation of longitudinal and vertical turbulence intensity, due to the difference between unit reef spacing setup for the experiments conducted, it is not con- venient to compare and analyze the turbulence intensity at the same relative position be- cause it may be not related to exactly the same location.

Appl. Sci. 2021, 11, 1393 10 of 21

Table 2. The average longitudinal and vertical turbulence intensity for cases 0-5, 1-5, 2-5, and 3-5.

Test ID Average Longitudinal Turbulence Average Vertical Turbulence 0-5 0.075 0.046 1-5 0.117 0.086 2-5 0.110 0.073 3-5 0.118 0.084

Figures6 and7 show that, except for condition 0-5, where no artificial reef is applied, the turbulence intensity has an obvious boundary between the turbulent and non-turbulent regions, which gradually rises with the flow direction. When the flow was introduced into the flume inlet and passed through the artificial reef structure, it was apparent that the flow patterns in the upstream area of the flume and in those around the reef group A, the ini- tial set of artificial reefs, were largely similar despite using different reef configurations. These were understandable as initial flow conditions and are usually typical of each artifi- cial reef shape used. It can be noticed that comparing the same geometrical configuration, the longitudinal turbulence intensity is significantly larger than the vertical one, in terms of magnitude and areas characterized by high values. In fact, the characteristic length of the larger longitudinal turbulence intensity (>2.0) is about 5–7 times the height of the reef, while the larger vertical turbulence intensity (>0.16) is about 2–4 times the height of the reef. Moreover, the location of the area with larger longitudinal turbulence intensity is higher than that of the vertical turbulence intensity, as expected. Before entering the reef area, the longitudinal turbulence intensity gradually increases from the bottom at about 2.8 times the height of the reef in front of it, and along the flow direction, the turbulence height increases, which is close to the position where the current uplifts. The vertical turbulence intensity begins to change from the bottom at about 1 time the length in front of the reef. These results indicate that the blocking effect of artificial reefs is mainly reflected in the longitudinal velocity. Analyzing the longitudinal turbulence intensity under different working conditions, the magnitude of the numerical values and the area affected can be classified as follows: condition 2-5 > condition 1-5 > condition 3-5, but in terms of average turbulence intensity, this is the final order: condition 3-5 > condition 1-5 > condition 2-5. Analyzing the vertical turbulence intensity calculated for different geometrical and hydraulics of the worst scenario (higher velocities), the magnitude of the numerical values obtained and the length of the area affected follow this order: condition 1-5 > condition 2-5 > condition 3-5, but in terms of average vertical turbulence intensity, the order changes to condition 1-5 > condition 3-5 > condition 2-5. If values of longitudinal and vertical turbulence intensity are combined, the perfor- mance follows this order: condition 1-5 > condition 2-5 > condition 3-5; that is, L1 > L2 > L3, which indicates that when the spacing is small, the impact of reef on the flow is greater and the turbulence is stronger. Nevertheless, it can also be observed that due to the presence of the artificial reefs, the whole unit reef area is characterized by a relatively large turbulence intensity. Higher val- ues of turbulence intensity initiate above the reef, following in parallel the flow streamlines and spreading outward with a strip shape, which is obviously greater than the surround- ing turbulence intensity. By comparing the turbulence intensity of the three conditions with the control experiment (0-5) focusing on the same areas where the artificial reefs are located, the longitudinal and vertical turbulence intensity increased by 53.6% and 76.8%, respectively. Table2 displays the average values of longitudinal and vertical turbulence for cases 0-5, 1-5, 2-5, and 3-5. It is possible to notice that the real scenario, 2-5, has lower values of turbulence in comparison with the spacing configurations suggested with 1-5 and 3-5. Therefore, configurations suggested by the authors (1 and 3) could be more beneficial to fish and the ecology of the reefs, because stronger turbulence could provide more food and nutrients within the entire area under investigation [75]. Appl. Sci. 2021, 11, 1393 11 of 21

4.2. Characteristics of Turbulence Intensity along the Entire Flow Depth Although the maps produced for the turbulence within the artificial reefs can clearly

Appl. Sci. 2021, 11, x FOR PEER REVIEWshow the overall variation of longitudinal and vertical turbulence intensity, due to11 the of 21 dif- ference between unit reef spacing setup for the experiments conducted, it is not convenient to compare and analyze the turbulence intensity at the same relative position because it may be not related to exactly the same location. InIn order order to to accurately accurately compare compare the the changes changes of of turbulence turbulence intensity intensity in in the the vertical vertical line line underunder different different velocity velocity conditions, conditions, 16 16 sections sections were were identified identified as asdisplayed displayed in inFigureFigure 8.8 . MoreMore in indetail, detail, Section Section A and A and Section Section B are B are60 mm 60 mm(1 times (1 times reef length) reef length) and 30 and mm 30 (1/2 mm times(1/2 reef times length) reef length)before the before first thegroup first (Group group A, (Group as introduced A, as introduced in Figure in5) of Figure artificial5) of reefs;artificial Section reefs; C Sectionis 30 mm C isafter 30mm the afterfirst monocase the first monocase of Group of A; Group Section A; SectionD, Section D, Section E, andE, Sectionand Section F are 30, F 60, are and 30, 120 60, andmm after 120 mmthe last after monocase the last monocaseof Group A; of Section Group G, A; Section Section H, G, andSection Section H, I and are 120, Section 60, and I are 30 120, mm 60, in and front 30 of mm the insecond front group of the secondof artificial group reefs, of artificialGroup B reefs,(as introduced Group B (asin Figure introduced 5); Section in Figure J is 305); mm Section after J isthe 30 first mm monocase after the firstin Group monocase B; Sec- in tionGroup K is B;30 Section mm after K is the 30 second mm after monocase the second in monocaseGroup B; Section in Group L B;is 30 Section mm after L is 30 Group mm after B; SectionGroup M B; is Section 30 mm M before is 30 mm the before final group the final of group artificial of artificial reefs, Group reefs, GroupC (as previously C (as previously dis- playeddisplayed in Figure in Figure 5); Section5); Section N is N30 ismm 30 after mm afterthe first the monocase first monocase in Group in Group C; Section C; Section O and O Sectionand Section P are 30 P aremm 30 and mm 60 and mm 60 after mm Group after Group C. C.

FigureFigure 8. 8.Cross-sectionCross-section distribution distribution of of artificial artificial reefs. reefs.

AccordingAccording to to the the location location of of these these sections relativerelative toto thethe unit unit reefs, reefs, the the 16 16 sections sections are areclassified classified into into four four categories categories as as follows: follows: • • AA and and B Bare are the the sections sections not not entering entering the the reef reef area area (Type (Type I); I); • • G,G, H, H, I, I,and and M M are are the the front front sections sections of of the the reef reef groups groups (Type (Type II); II); • • C,C, J, J,K, K, and and N N are are the the sections sections betw betweeneen the the two two reef reef monocases monocases (Type (Type III); III); • • D,D, E, E, F, F, L, L, O, O, and and P Pare are the the rear rear se sectionsctions of of the the reef reef groups groups (Type (Type IV). IV). FiguresFigures 99 and and 10 10 show show the the comparison comparison of of lo longitudinalngitudinal and and vertical vertical turbulence turbulence across across eacheach section section for for the the worst worst scenario scenario tested tested (3) (3) and and all all the the velocities velocities replicated replicated (1–5). (1–5). It Itis is possiblepossible to to notice notice that that on on the the same same section, section, the the trends trends of of turbulence turbulence intensity intensity are are highly highly coincident,coincident, despite despite the the different different velocities velocities te tested.sted. A Ageneral general pattern pattern can can also also be be observed: observed: alongalong the the flow flow direction, direction, outside outside the the reef reef area, area, the the longitudinal longitudinal turbulence turbulence intensity intensity grad- gradu- uallyally decreases with thethe increaseincrease ofof thethe waterwater level, level, while while this this behavior behavior cannot cannot be be noticed noticed for forthe the vertical vertical turbulence turbulence intensity. intensity. After After the th flowe flow enters enters the reefthe area,reef area, two inflectiontwo inflection points pointsappear appear in the in turbulence the turbulence intensity intensity on the on vertical the vertical line. In line. fact, In after fact, the after flow the enters flow enters the reef thearea, reef the area, turbulence the turbulence intensity intensity firstly increases firstly increases to the maximum to the maximum value with value the increasewith the of increasewater level of water (1st inflectionlevel (1st inflection point); then, point); it decreases then, it decreases sharply with sharply the increase with the of increase water level of water(2nd level inflection (2nd point)inflection and point) then decreasesand then decreases slowly. The slowly. 1st inflection The 1st inflection point appears point at ap- the pearshighest at the point highest where point the where water flowthe water is affected flow is by affected the reef by on the the reef vertical on the line. vertical In the line. test Inarea, the test the heightarea, the of height the 2nd of inflection the 2nd inflec pointtion increases point graduallyincreases alonggradually the flowalong direction. the flow direction.

Appl. Sci. 2021, 11, 1393 12 of 21 Appl. Sci. 2021, 11, x FOR PEER REVIEW 12 of 21

Figure 9. LongitudinalLongitudinal turbulence turbulence intensity intensity for each each section section under under geometrical geometrical configuration configuration 3 and five five different different velocities tested. The subplots refersrefers toto thethe valuesvalues measuredmeasured at at each each of of the the 16 16 sections sections identified identified (A, (A, B, B, C, C, D, D, E, E, F, F, G, G, H, H, I, J,I, K,J, K, L, L, M, M N,, N,O, P).O, P).

Appl. Sci. 2021, 11, 1393 13 of 21 Appl. Sci. 2021, 11, x FOR PEER REVIEW 13 of 21

Figure 10. Vertical turbulenceturbulence intensity intensity for for each each section section under under geometrical geometrical configuration configuration 3 and 3 fiveand differentfive different velocities velocities tested. tested.The subplots The subplots refers to refers the values to the measuredvalues measured at each ofat theeach 16 of sections the 16 sections identified identified (A, B, C, (A, D, E,B, F,C,G, D,H, E, I,F, J, G, K, H, L, I, M, J, N,K, O,L, M P)., N, O, P). At the same time, it was also found that the trend of longitudinal and vertical turbu- lenceAt intensity the same is affectedtime, it was by upwelling also found and that back the vortex trend conditions.of longitudinal For example,and vertical in sections turbu- lenceG, H, intensity I, and M, is affected affected be by upwelling, upwelling the and 1st inflectionback vortex point conditions. of the longitudinal For example, turbulence in sec- tions G, H, I, and M, affected be upwelling, the 1st inflection point of the longitudinal

Appl. Sci. 2021, 11, x FOR PEER REVIEW 14 of 21

turbulence intensity appears at 1.7 times the reef height, and the position of the 2nd in- flection point is not clearly identifiable. The 1st inflection point of the vertical turbulence intensity appears at 1 times the height of the reef, and the 2nd inflection point is higher, about 3.2 times the reef height. However, in the sections affected by back vortex, such as C, J, K, and N, the 1st inflection point of longitudinal turbulence intensity appears at 1.25 Appl. Sci. 2021, 11, 1393 times the reef height, and the 2nd inflection point appears at about 2 times the reef height.14 of 21 The 1st inflection point of vertical turbulence intensity appears at about 1 times the reef height, and the 2nd inflection point appears at about 2 times the reef height. It can be confirmed based on the results displayed in Figures 9 and 10 that the influ- intensity appears at 1.7 times the reef height, and the position of the 2nd inflection point is ence of the back vortex on the turbulence intensity is more severe, because the turbulent not clearly identifiable. The 1st inflection point of the vertical turbulence intensity appears intensity range of the section in the back-vortex region is larger than that in the upwelling at 1 times the height of the reef, and the 2nd inflection point is higher, about 3.2 times the region. However, the influence range of upwelling on turbulence intensity is higher, be- reef height. However, in the sections affected by back vortex, such as C, J, K, and N, the 1st cause the 2nd inflection point of the section in the upwelling region is higher than that in inflection point of longitudinal turbulence intensity appears at 1.25 times the reef height, the back-vortex region. and the 2nd inflection point appears at about 2 times the reef height. The 1st inflection Among the four categories of sections previously identified, we selected one repre- point of vertical turbulence intensity appears at about 1 times the reef height, and the 2nd sentative section for each type to simplify the comparisons between different locations. inflection point appears at about 2 times the reef height. Therefore, Section A was selected to represent Type I, Section C was selected for Type II, It can be confirmed based on the results displayed in Figures9 and 10 that the influence Section D was selected for Type III, and Section M was selected for Type IV. In addition, of the back vortex on the turbulence intensity is more severe, because the turbulent intensity G was also included within this list, because it was found that the influence of the front range of the section in the back-vortex region is larger than that in the upwelling region. and rear reefs on Section G was similar, and its vertical velocity was quite different under However, the influence range of upwelling on turbulence intensity is higher, because the each testing conditions. The vertical distribution of Reynolds shear stress values, longitu- 2nd inflection point of the section in the upwelling region is higher than that in the back- dinal turbulence intensity, longitudinal velocity, and vertical turbulence intensity and vortex region. vertical velocity at Sections A, C, D, G, and M are displayed in Figure 11a–e. Among the four categories of sections previously identified, we selected one repre- It can be highlighted that although there is no direct relationship between the turbu- sentative section for each type to simplify the comparisons between different locations. lence intensity and the time-averaged velocity, the inflection point of the turbulence in- Therefore, Section A was selected to represent Type I, Section C was selected for Type II, tensity on the vertical line is generally consistent with that of the vertical velocity; the Section D was selected for Type III, and Section M was selected for Type IV. In addition, minimum Reynolds shear stress appears at a height close to that of the maximum turbu- G was also included within this list, because it was found that the influence of the front and lence intensity. Before entering the reef area, the longitudinal turbulence intensity has the rear reefs on Section G was similar, and its vertical velocity was quite different under each following order of magnitude: condition 3-5 > condition 2-5 > condition 1-5. However, testing conditions. The vertical distribution of Reynolds shear stress values, longitudinal after the disturbance of the reef, the turbulence intensity of condition 1-5 with the smallest turbulence intensity, longitudinal velocity, and vertical turbulence intensity and vertical spacing is the largest. Therefore, it can be stated that small spacing can stimulate the oc- velocity at Sections A, C, D, G, and M are displayed in Figure 11a–e. currence of turbulent features.

(a)

Figure 11. Cont.

Appl. Sci. 2021, 11, 1393 15 of 21 Appl. Sci. 2021, 11, x FOR PEER REVIEW 15 of 21

(b)

(c)

(d)

Figure 11. Cont.

Appl. Sci. 2021, 11, 1393 16 of 21 Appl. Sci. 2021, 11, x FOR PEER REVIEW 16 of 21

(e)

FigureFigure 11. 11.Reynolds Reynolds shearshear stress,stress, longitudinallongitudinal turbulence intensity, longitudinal velocity, velocity, vertical vertical turbulence turbulence intensity intensity and and verticalvertical velocity velocity at at selected selected ( a(a)) Section Section A; A; ( (bb)) SectionSection C;C; ((cc)) SectionSection D;D; ((d)) SectionSection G; and ( e) Section M. M.

ItAnalyzing can be highlighted the Reynolds that shear although stress therevalues is obtained no direct at relationship each section, between when the the flow tur- bulencefield is not intensity affected and by reefs, the time-averaged the Reynolds shea velocity,r stress the is relatively inflection small, point and of the theturbulence Reynolds intensitymagnitude on follows the vertical this linespacing is generally order: L consistent2 > L1 > L3. with After that the of flow the verticalenters the velocity; reef area, the min-the imumReynolds Reynolds shear stress shear changes stress appears greatly, at and a height the ov closeerall trend to that is of roughly the maximum opposite turbulence to that of intensity.the turbulence Before intensity: entering thethe reefReynolds area, theshea longitudinalr stress first turbulence decreases to intensity the minimum has the follow-value ingwith order the increase of magnitude: of water condition level; then, 3-5 > it condition changes 2-5suddenly > condition after encountering 1-5. However, the after reef. the disturbanceThen, it increases of the with reef, the the rise turbulence of water intensitylevel, and of finally, condition it remains 1-5 with stable, the with smallest the overall spacing isperformance the largest. of Therefore, L3 > L2 > itL1 can. However, be stated there that are small differences spacing can among stimulate the different the occurrence sections: of turbulentthe variation features. range of Reynolds shear stress in Sections C and D is greater than that in SectionsAnalyzing G and M, the and Reynolds the height shear of the stress turning values point obtained is relatively at each uniform. section, The when reason the flowfor fieldthis difference is not affected may by be reefs,that Sections the Reynolds C and shear D belong stress to is the relatively front part small, of the and reef the area Reynolds and magnitudehave a blocking follows effect this on spacing the flow. order: WhenL the2 > flowL1 > reachesL3. After Sections the flow G and enters M, thethe reefvelocity area, theideally Reynolds reduced shear and stress the turbulence changes greatly, intensity and weakens, the overall inducing trend minor is roughly changes opposite to the to thatReynolds of the shear turbulence stress. intensity: the Reynolds shear stress first decreases to the minimum value with the increase of water level; then, it changes suddenly after encountering the reef. Then,4.3. Characterisation it increases with of Ma theximum rise of Turbulence water level, Intensity and finally, it remains stable, with the overall performanceThe magnitude of L3 > andL2 > theL1. location However, of the there maxi aremum differences turbulence among intensity the different can aid in sections: char- theacterizing variation the rangeeffect of the Reynolds artificial shear reef stresson the in flow. Sections Figure C 12 and shows D is the greater relationship than that be- in Sectionstween the G andmaximum M, and value the height of turbulence of the turning intens pointity and is relativelythe height uniform. at which The it occurs reason of for thiseach difference section under may all be conditions. that Sections C and D belong to the front part of the reef area and haveFigure a blocking 12a shows effect onthe the location flow. Whenof the maximum the flow reaches value of Sections the longitudinal G and M, theturbulence velocity ideallyintensity reduced quantified and for the each turbulence typical section. intensity The weakens, maximum inducing values of minor longitudinal changes turbu- to the Reynoldslence intensity shear at stress. Section A and Section B of Type I occur at the bottom of the vertical distribution. At Sections G, H, I, and M of Type II, the correspondent maximum values 4.3.appear Characterisation at 0.8–2.5 times of Maximum the reef height, Turbulence whic Intensityh are mostly concentrated in the length with the sizeThe of magnitude 1.2–2 times and the thereef location height, and of the themaximum values obtained turbulence are between intensity 0.15 can and aid 0.2. in characterizingAs shown in Figure the effect 12a, of these the artificialvalues are reef sca onttered, the flow. but their Figure range 12 shows is relatively the relationship concen- betweentrated. At the Sections maximum C, J, K, value and ofN turbulenceof Type III, intensitythe maximum and the values height appear at which at 1.0–1.5 it occurs times of eachthe height section of under the reef, all which conditions. are mostly concentrated at 1.25 times the reef height, and the values obtained are greater than 0.2. This confirms that the location is relatively concen- trated, but the range of these values is relatively scattered. Finally, at Sections D, E, F, L, O, and P of Type IV, the maximum values appear at 0.8–1.8 times the height of the reef, and the values are between 0.175 and 0.275.

Appl. Sci. 2021, 11, 1393 17 of 21 Appl. Sci. 2021, 11, x FOR PEER REVIEW 17 of 21

(a)

(b) Figure 12. Distribution of maximum turbulence intensity for each typical section in the artificial reef area. (a) The location Figure 12. Distribution of maximum turbulence intensity for each typical section in the artificial reef area. (a) The location of the maximum value of the longitudinal turbulence intensity; (b) the location of the maximum value of the vertical of the maximum value of the longitudinal turbulence intensity; (b) the location of the maximum value of the vertical turbulence intensity. turbulence intensity.

Figure 1212ba showsshows the correspondent location of the datasets maximum for the value maximum of the longitudinal values of vertical turbulence turbu- in- tensitylence intensity quantified calculated for each at typical each section.typical section. The maximum The maximum values of values longitudinal of vertical turbulence turbu- intensitylence intensity at Section at Section A and A Section and Section B of Type B of Type I occur I are at thenot bottomfollowing of thea specific vertical trend, distribu- and tion.they are At Sectionsdistributed G, H,from I, and the bottom M of Type up II,to 4 the times correspondent the height of maximum the reef, ranging values appearfrom 0.04 at 0.8–2.5to 0.08. timesAt Sections the reef G, height, H, I, and which M, for are Type mostly II, concentrated they appear inat 0.8–1.7 the length times with the the height size ofof 1.2–2the reef, times and the the reef values height, are and between the values 0.1 and obtained 0.15. At are Sections between C, 0.15 J, K, and and 0.2. N As of shownType III, in Figurethey appear 12a, these at 0.9–1.4 values times are scattered, the height but of theirthe reef, range and is relativelythey are mostly concentrated. concentrated At Sections at 1.0 C,times J, K, the and reef’s N of height, Type III, and the the maximum values are values greater appear than at0.15, 1.0–1.5 with times values the relatively height of scat- the reef,tered. which Finally, are at mostly Sections concentrated D, E, F, L, O, at 1.25and P times for Type the reef IV, height,they appear and the at 0.5–1.0 values obtainedtimes the arereef’s greater height, than and 0.2. the This values confirms are between that the 0.13 location and is0.18. relatively concentrated, but the range of theseThe valuesdistributions is relatively of the scattered. maximum Finally, values atof Sectionslongitudinal D, E, and F, L, vertical O, and turbulence P of Type in- IV, thetensity maximum appear as values a cluster, appear which at 0.8–1.8 can be divided times the into height four ofcategories the reef, according and the values to specific are betweenobservations. 0.175 The and first 0.275. category is located in front of the whole unit reef, and it is mainly characterizedFigure 12 bybshows low turbulence correspondent at the datasetsbottom of for the the reef. maximum In this region, values the of longitudinal vertical tur- bulenceturbulence intensity intensity calculated is less than at 0.15, each and typical the ve section.rtical turbulence The maximum intensity values is less of than vertical 0.1. turbulenceThe second intensity category atcorresponds Section A and to the Section ordinary B of Typeturbulent I are area, not following which is ausually specific located trend, andbetween they the are distributedtwo groups fromof reefs, the bottomwhere usually up to 4 timesthe upwelling the height occurs. of the The reef, turbulence ranging from in- 0.04tensity to 0.08.in this At area Sections is higher G, H, than I, and the M, one for ob Typetained II, theyin the appear first category, at 0.8–1.7 with times the the longitu- height ofdinal the turbulence reef, and the intensity values arebetween between 0.1 0.1and and 0.15 0.15., and At the Sections vertical C, turbulence J, K, and N intensity of Type be- III, theytween appear 0.05 and at 0.9–1.41. The third times category the height is the of stro theng reef, turbulence and they area, are mostlyand it is concentrated usually located at 1.0between times two the reef’smonocases, height, which and theis typical values of are the greater back-vortex than 0.15,area. withThe maximum values relatively values scattered.of longitudinal Finally, turbulence at Sections intensity D, E, F, in L, O,this and region P for generally Type IV, theyappear appear at 1.5 at times 0.5–1.0 the times reef theheight, reef’s and height, they are and generally the values greater are between than 0.2; 0.13 the and maximum 0.18. vertical turbulence intensity generally appears at 1 time the reef’s height, with the value greater than 0.15. The fourth

Appl. Sci. 2021, 11, 1393 18 of 21

The distributions of the maximum values of longitudinal and vertical turbulence intensity appear as a cluster, which can be divided into four categories according to specific observations. The first category is located in front of the whole unit reef, and it is mainly characterized by low turbulence at the bottom of the reef. In this region, the longitudinal turbulence intensity is less than 0.15, and the vertical turbulence intensity is less than 0.1. The second category corresponds to the ordinary turbulent area, which is usually located between the two groups of reefs, where usually the upwelling occurs. The turbulence intensity in this area is higher than the one obtained in the first category, with the longi- tudinal turbulence intensity between 0.1 and 0.15, and the vertical turbulence intensity between 0.05 and 1. The third category is the strong turbulence area, and it is usually located between two monocases, which is typical of the back-vortex area. The maximum values of longitudinal turbulence intensity in this region generally appear at 1.5 times the reef height, and they are generally greater than 0.2; the maximum vertical turbulence intensity generally appears at 1 time the reef’s height, with the value greater than 0.15. The fourth category is the mixed turbulent area, which is usually located at the back of the reefs’ s group. However, because it is not directly affected by the latter reef, the maximum value of turbulence intensity is smaller than that of the third category but larger than that of the second category.

5. Conclusions This work focused on characterizing the turbulence structure typical in artificial M- shaped reefs to be implemented in the area of Liaodong Bay and its influence on the flow, which could affect the motion of sediments and the of pollutants; the main outcomes of this study can be summarized as follows. There is a clear turbulent boundary at the height of about 2 times the height of the reef, and under the same hydraulic conditions, the area affected by intense longitudinal turbulence is larger than the reef area affected by the features induced by the vertical turbulence. The trends of longitudinal and vertical turbulence estimated at each section are clearly shaped by upwelling and back vortex features. The influence of back vortex phenomena on the turbulence intensity is more severe locally, while the area affected by upwelling is larger. The maximum values were measured in close proximity with the maximum valued of velocity measured. According to the characteristics of the turbulence intensity distribution, the overall set of results can be divided into four categories: • The low turbulence area is typically located in front of the unit reef, and in this region, only at the sea bottom the turbulence intensity is relatively high; • The general turbulence area is located within the upwelling area; • The more intense turbulence area is located between the two monocases, and this area is strongly characterized by effects induced by the eddy currents; • The mixed turbulence area is located at the back of the reef group, and it is not directly affected by reef. The next step of this research would be to implement and investigate the applica- tion of these artificial reefs in a realistic site and analyze their development and their interaction with local ecology. Furthermore, in addition to affecting the local turbulence intensity, this study confirmed that artificial reefs can change the original flow conditions, and therefore, they could affect the dynamic processes of sediments such as incipience, diffusion, suspension, transport, and settlement, thus changing the original natural sea bottom environment. The turbulence intensity is closely related to the movement of sedi- ments, but there is little research on the response relationship between the two for studies on artificial reefs; therefore, this will be the future research to undertake. Appl. Sci. 2021, 11, 1393 19 of 21

Author Contributions: All the authors jointly contributed to this research. A.S. was responsible for the proposition and design of the experiments, analysis of the results, and conclusions of the paper; J.Q. and M.W. analyzed the experimental datasets and wrote the paper. M.R. helped with the analysis of the experimental tests, wrote and revised the paper. T.S. and L.W. revised the paper. S.W., J.Z. and F.Z. performed the experiments. All authors have read and agreed to the published version of the manuscript. Funding: The research reported in this manuscript is funded by the National key research and development plan (Grant No. 2018YFC1406400) and the Natural Science Foundation of China (Grant No. U1901212). Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable. Data Availability Statement: To access the datasets provided in this study, please contact [email protected]. Conflicts of Interest: The authors declare no conflict of interest.

References 1. Laxe, F.G.; Bermúdez, F.M.; Palmero, F.M.; Novo-Corti, I. Governance of the fishery industry: A new global context. Ocean Coast. Manag. 2018, 153, 33–45. [CrossRef] 2. Halpern, B.S.; Frazier, M.; Potapenko, J.; Casey, K.S.; Koenig, K.; Longo, C.; Lowndes, J.S.; Rockwood, R.C.; Selig, E.R.; Selkoe, K.A.; et al. Spatial and temporal changes in cumulative human impacts on the world’s ocean. Nat. Commun. 2015, 6, 7. [CrossRef][PubMed] 3. Nilsson, J.A.; Fulton, E.A.; Johnson, C.R.; Haward, M. How to sustain fisheries: Expert knowledge from 34 nations. Water 2019, 11, 213. [CrossRef] 4. Barbeaux, S.J.; Holsman, K.; Zador, S. Marine heatwave stress test of ecosystem-based fisheries management in the gulf of Alaska Pacific cod fishery. Front. Mar. Sci. 2020.[CrossRef] 5. Carlson, A.K.; Taylor, W.W.; Rubenstein, D.I.; Levin, S.A.; Liu, J. Global marine fishing accross space and time. Sustainability 2020, 12, 4714. [CrossRef] 6. Chandrapavan, A.; Caputi, N.; Kangas, M.I. The decline and recovery of a crab population from an extreme marine heatwave and a changing climate. Front. Mar. Sci. 2019.[CrossRef] 7. Townhill, B.L.; Radford, Z.; Pecl, G.; van Putten, I.; Pinnegar, J.K.; Hyder, K. Marine recreational fishing and the implications of climate change. Fish Fish. 2019.[CrossRef] 8. Wang, G.; Wan, R.; Wang, X.X.; Zhao, F.F.; Lan, X.Z.; Cheng, H.; Theng, W.Y.; Guan, Q.L. Study on the influence of cut- opening ratio, cut-opening shape, and cut-opening number on the flow field of a cubic artificial reef. Ocean Eng. 2018, 162, 341–352. [CrossRef] 9. Svane, I.; Petersen, J.K. On the problems of epibioses, fouling and artificial reefs, a review. Mar. Ecol. Pubbl. Stn. Zool. Napoli 2001, 22, 169–188. [CrossRef] 10. Lima, J.S.; Zalmon, I.R.; Love, M. Overview and trends of ecological and socioeconomic research on artificial reefs. Mar. Environ. Res. 2019, 145, 81–96. [CrossRef] 11. Layman, C.A.; Allgeier, J.E. An ecosystem ecology perspective on artificial reef production. J. Appl. Ecol. 2020.[CrossRef] 12. Chen, P.; Kang, C.K.; Yu, J.L. Marine life and coastal restoration by utilizing steel slag to create sea forest on sandy coast of southwest Taiwan. Oceans 2019.[CrossRef] 13. Sreekanth, G.B.; Lekshmi, N.M.; Singh, N.P. Can artificial reefs really enhance the inshore fishery resources along Indian coast? A critical review. Proc. Natl. Acad. Sci. India Sec. B Biol. Sci. 2019, 89, 13–25. [CrossRef] 14. Maslov, D.; Johnson, J.; Pereira, E.; Duarte, D.; Miranda, T.; Lima, M.; Cruz, F.; Valente, I.; Pinheiro, M. Experimental testing and CFD modelling for prototype design of innovative artificial reef structures. Oceans 2019.[CrossRef] 15. Brown-Peterson, N.J.; Leaf, R.T.; Leontiou, A.J. Importance of depth and artificial structure on female Red Snapper reproductive parameters. Trans. Am. Fish. Soc. 2020.[CrossRef] 16. Liu, T.L.; Su, D.T. Numerical analysis of the influence of reef arangements on artificial reef flow fields. Ocean Eng. 2013, 74, 81–89. [CrossRef] 17. Lan, C.H.; Chen, C.C.; Hsui, C.Y. An approach to design spatial configuration of artificial reef ecosystem. Ecol. Eng. 2004, 22, 217–226. [CrossRef] 18. Haro, A.; Castro-Santos, T.; Noreika, J.; Odeh, M. Swimming performance of upstream migrant fishes in open-channel flow: A new approach to predicting passage through velocity barriers. Can. J. Fish. Aquat. Sci. 2004, 61, 1590–1601. [CrossRef] 19. Schmitter-Soto, J.J.; Herrera-Pavón, R.L. Changes in the Fish Community of a Western Caribbean Estuary after the Expansion of an Artificial Channel to the Sea. Water 2019, 11, 2582. [CrossRef] Appl. Sci. 2021, 11, 1393 20 of 21

20. Yoon, H.-S.; Kim, D.; Na, W.-B. Estimation of effective usable and burial volumes of artificial reefs and the prediction of cost-effective management. Ocean Coast. Manag. 2016, 120, 135–147. [CrossRef] 21. Collins, K.J.; Jensen, A.C.; Lockwood, A.P.M. Fishery enhancement reef building exercise. Chem. Ecol. 1990, 4, 179–187. [CrossRef] 22. Godoy, E.A.S.; Almeida, T.C.M.; Zalmon, I.R. Fish assemblages and environmental variables on an artificial reef north of Rio de Janeiro, Brazil. ICES J. Mar. Sci. 2002, 59, S138–S143. [CrossRef] 23. Santos, M.N.; Monteiro, C.C. The Olhão artificial reef system (south Portugal): Fish assemblages and fishing yield. Fish. Res. 1997, 30, 33–41. [CrossRef] 24. Glarou, M.; Zrust, M.; Svendsen, J.C. Using artificial-reef knowledge to enhance the ecological function of offshore wind turbine foundations: Implications for fish abundance and diversity. J. Mar. Sci. Eng. 2020, 8, 332. [CrossRef] 25. Ngoc Le, Q.T.; Jung, S.; Na, W.B. Wake region estimates of artificial reefs in Vietnam: Effects of tropical seawater and seasonal water flow variation. Sustainability 2020, 12, 6191. [CrossRef] 26. Marshak, A.R.; Cebrian, J.; Heck, K.L., Jr.; Hightower, C.L.; Kroetz, A.M.; Macy, A.; Madsen, S.; Spearman, T.; Sanchez-Lizaso, J.L. Spatiotemporal Dynamics of mediterranean shallow coastal fish communities along a gradient of marine protection. Water 2020, 12, 1537. [CrossRef] 27. Crabbe, M.J.C. Coral ecosystem resilience, conservation and management on the reefs of Jamaica in the Face of Anthropogenic Activities and Climate Change. Diversity 2010, 2, 881–896. [CrossRef] 28. Androulakis, D.N.; Dounas, C.G.; Banks, A.C.; Magoulas, A.N.; Margaris, D.P. An assessment of computational fluid dynamics as a tool to aid the design of the HCMR-artificial-reefs TM diving oasis in the underwater biotechnological park of Crete. Sustainability 2020, 12, 4847. [CrossRef] 29. Kim, D.; Woo, J.; Na, W.B. Intensively stacked placement models of artificial reef sets characterized by wake and upwelling regions. Mar. Technol. Soc. J. 2017, 51, 60–70. [CrossRef] 30. Li, J.; Zheng, Y.X.; Gong, P.H.; Guan, C.T. Numerical simulation and PIV experimental study of the effect of flow fields around tube artificial reefs. Ocean Eng. 2017, 134, 96–104. 31. Liu, Y.; Guan, C.T.; Zhao, Y.P.; Cui, Y.; Dong, G.H. Numerical simulation and PIV study of unsteady flow around hollow cube artificial reef with free water surface. Eng. Appl. Comput. Fluid Mech. 2012, 6, 527–540. [CrossRef] 32. Shao, S. Incompressible SPH flow model for wave interactions with porous media. Coast. Eng. 2010, 57, 304–316. [CrossRef] 33. Kazemi, E.; Tait, S.; Shao, S. SPH-based numerical treatment of the interfacial interaction of flow with porous media. Int. J. Numer. Methods Fluids 2020, 92, 219–245. [CrossRef] 34. Kazemi, E.; Koll, K.; Tait, S.; Shao, S. SPH modelling of turbulent open channel flow over and within natural gravel beds with rough interfacial boundaries. Adv. Water Res. 2020, 140, 103557. [CrossRef] 35. Zheng, X.; Shao, S.; Khayyer, A.; Duan, W.; Ma, Q.; Liao, K. Corrected first-order derivative ISPH in water wave simulations. Coast. Eng. 2017, 59.[CrossRef] 36. Rubinato, M.; Heyworth, J.; Hart, J. Protecting coastlines from flooding in a changing climate: A preliminary experimental study to investigate a sustainable approach. Water 2020, 12, 2471. [CrossRef] 37. Wu, S.; Rubinato, M.; Gui, Q. SPH Simulation of interior and exterior flow field characteristics of porous media. Water 2020, 12, 918. [CrossRef] 38. Zhang, Y.; Rubinato, M.; Kazemi, E.; Pu, J.H.; Huang, Y.; Lin, P. Numerical and experimental analysis of shallow turbulent flows over complex roughness beds. Int. J. Comput. Fluid Dyn. 2019.[CrossRef] 39. Pecseli, H.L.; Trulsen, J.K.; Stiansen, J.E.; Sundby, S.; Fossum, P. Feeding of plankton in turbulent oceans and lakes. Limnol. Oceanogr. 2019, 64, 1034–1046. [CrossRef] 40. Davis, K.A.; Pawlak, G.; Monismith, S.G. Turbulence and coral reefs. Annu. Rev. Mar. Sci. 2021, 13.[CrossRef][PubMed] 41. Philippe Cury, C.R. Optimal environmental window and pelagic fish recruitment success in upwelling areas. Canjfishaquat 1989, 46, 1. 42. Mackenzie, B.R.; Miller, T.J.; Cyr, S.; Leggett, W.C. Evidence for a dome-shaped relationship between turbulence and larval fish ingestion rates. Limnol. Oceanogr. 1994, 39, 1790–1799. [CrossRef] 43. Thomas, F.I.M.; Atkinson, M.J. Ammonium uptake by coral reefs: Effects of water velocity and surface roughness on mass transfer. Limnol. Oceanogr. 1997, 42, 81–88. [CrossRef] 44. Sebens, K.P.; Helmuth, B.; Carrington, E.; Agius, B. Effects of water flow on growth and energetics of the scleractinian coral tenuifolia in Belize. Coral Reefs 2003, 22, 35–47. [CrossRef] 45. Monismith, S.G.; Davis, K.A.; Shellenbarger, G.G.; Hench, J.L.; Nidzieko, N.J.; Santoro, A.E.; Reidenbach, M.A.; Rosman, J.H.; Holtzman, R.; Martens, C.S.; et al. Flow effects on benthic grazing on phytoplankton by a Caribbean reef. Limnol. Oceanogr. 2010, 55, 1881–1892. [CrossRef] 46. McClanahan, T.R.; Maina, J.; Moothien-Pillay, R.; Baker, A.C. Effects of geography, taxa, water flow, and variation on intensity in Mauritius. Mar. Ecol. Prog. Ser. 2005, 298, 131–142. [CrossRef] 47. Nakamura, T.; van Woesik, R.; Yamasaki, H. Photoinhibition of photosynthesis is reduced by water flow in the reef-building coral digitifera. Mar. Ecol. Prog. Ser. 2005, 301, 109–118. [CrossRef] 48. Pomeroy, A.W.M.; Lowe, R.J.; Van Dongeren, A.R.; Ghisalberti, M.; Bodde, W.; Roelvink, D. Spectral wave-driven sediment transport across a . Coast. Eng. 2015, 98, 78–94. [CrossRef] Appl. Sci. 2021, 11, 1393 21 of 21

49. Reidenbach, M.A.; Koseff, J.R.; Koehl, M.A.R. Hydrodynamic on larvae affect their settlement on coral reefs in turbulent, wave-driven flow. Limnol. Oceanogr. 2009, 54, 318–330. [CrossRef] 50. Fuchs, H.L.; Hunter, E.J.; Schmitt, E.L.; Guazzo, R.A. Active downward propulsion by oyster larvae in turbulence. J. Exp. Biol. 2013, 216, 1458–1469. [CrossRef] 51. Chatelain, M.; Guizien, K. Modelling coupled turbulence—Dissolved oxygen dynamics near the sediment-water interface under wind waves and sea . Water Res. 2010, 44, 1361–1372. [CrossRef][PubMed] 52. Li, Y.P.; Wei, J.; Gao, X.M.; Chen, D.; Weng, S.L.; Du, W.; Wang, W.C.; Wang, J.W.; Tang, C.Y.; Zhang, S.S. Turbulent bursting and sediment resuspension in hyper-eutrophic Lake Taihu, China. J. Hydraul. 2018, 565, 581–588. [CrossRef] 53. Li, H.; Yang, G.; Ma, J.; Wei, Y.; He, Q. The role of turbulence in internal phosphorus release: Turbulence intensity matters. Environ. Pollut. 2019, 252, 84–93. [CrossRef] 54. Tanaka, M. Changes in vertical distribution of zooplankton under wind-induced turbulence: A 36-year record. Fluids 2019, 4, 195. [CrossRef] 55. Leathers, K.W.; Michaelis, B.T.; Reidenbach, M.A. Interpreting the spatial-temporal structure of turbulent chemical plumes utilized in odor tracking by lobsters. Fluids 2020, 5, 82. [CrossRef] 56. Oliveira, D.; Granhag, L. Matching forces applied in underwater hull cleaning with adhesion strength of marine organisms. J. Mar. Sci. Eng. 2016, 4, 66. [CrossRef] 57. Reynolds, A.M. Passive particles Lévy walk through turbulence mirroring the diving patterns of marine predators. J. Phys. Commun. 2018, 2, 085003. [CrossRef] 58. Martínez, R.A.; Calbet, A.; Saiz, E. Effects of small-scale turbulence on growth and grazing of marine microzooplankton. Aquat. Sci. 2018, 80, 2. [CrossRef] 59. Perez-Santos, I.; Castro, L.; Ross, L.; Niklitschek, E.; Mayorga, N.; Cubillos, L.; Gutierrez, M.; Escalona, E.; Castillo, M.; Alegria, N.; et al. Turbulence and contribute to dense biological scattering layers in a Patagonian fjord system. Ocean Sci. 2018, 14, 1185–1206. [CrossRef] 60. Horppila, J.; Härkönen, L.; Hellén, N.; Estlander, S.; Pekcan-Hekim, Z.; Ojala, A. Rotifer communities under variable - turbulence combinations. Hydrobiologia 2019, 828, 339–351. [CrossRef] 61. Zhou, X.; Zhao, X.; Zhang, S.; Lin, J. Marine Ranching Construction and Management in East China Sea: Programs for Sustainable Fishery and . Water 2019, 11, 1237. [CrossRef] 62. Michalec, F.G.; Fouxon, I.; Souissi, S.; Holzner, M. Zooplankton can actively adjust their motility to turbulent flow. Proc. Natl. Acad. Sci. USA 2017, 114, E11199–E11207. [CrossRef] 63. Amoudry, L.O.; Souza, A.J. Impact of sediment-induced stratification and turbulence closures on sediment transport and morphological modelling. Cont. Shelf. Res. 2011, 31, 912–928. [CrossRef] 64. Wan Mohtar, W. Enhanced understanding on incipient sedimentmotion and sediment suspension through oscillating-grid turbulence experiments. J. Zhejiang Univ. Sci. A 2017, 18, 882–894. [CrossRef] 65. Scarano, F. Tomographic PIV: Principles and practice. Meas. Sci. Technol. 2013, 24, 28. [CrossRef] 66. Christensen, K.T.; Scarano, F. Uncertainty quantification in particle image velocimetry. Meas. Sci. Technol. 2015, 26, 070201. [CrossRef] 67. Markus, R.; Jurgen, K.; Wereley, S.T.; Willert, C.E. Particle image velocimetry: A practical guide. Exp. Fluid Mech. 2017, 255, 160–162. 68. Rojas, S.; Rubinato, M.; Nichols, A.; Shucksmith, J. Cost effective measuring technique to simultaneously quantify 2D velocity fields and depth-averaged solute in shallow water flows. J. Flow Meas. Instrum. 2018, 64, 213–223. [CrossRef] 69. Martins, R.; Rubinato, M.; Kesserwani, G.; Leandro, J.; Djordjevic, S.; Shucksmith, J. On the characteristics of velocity fields on the vicinity of manhole inlet grates during flood events. Water Resour. Res. 2018, 54, 6408–6422. [CrossRef] 70. Rubinato, M.; Seungsoo, L.; Martins, R.; Shucksmith, J. Surface to sewer flow exchange through circular inlets during urban flood conditions. J. Hydroinform. 2018, 20, 564–576. [CrossRef] 71. Shucksmith, J.; Rubinato, M.; Martins, R.; Kesserwani, G.; Leandro, J.; Djordjevic, S. Understanding pollutant transport in urban floodwater for health impact assessment using a physical scale model. In Proceedings of the 11th International Conference on Urban Drainage Modelling, Palermo, Italy, 23–26 September 2018. 72. Rubinato, M.; Martins, R.; Kesserwani, G.; Leandro, J.; Djordjevic, S.; Shucksmith, J. Experimental investigation of the influence of manhole grates on drainage flows in urban flooding conditions. In Proceedings of the 14th IWA/IAHR International Conference on Urban Drainage, Prague, Czech Republic, 10–15 September 2017. 73. Song, T.X. Research on Stirring Flow Field and Dynamic Concentration Measurement of Low Concentration Pulp Fiber Suspension Based on PIV. Master’s Thesis, South China University of Technology, Guangzhou, China, 2017. 74. Cui, Y.; Guan, C.T.; Wan, R.; Li, J.; Huang, B. Numerical simulation on influence of disposal space on effects of flow field around artificial reefs. Trans. Oceanol. Limnol. 2011, 22, 59–65, (In Chinese with English abstract). 75. Czechowska, K.; Feldens, P.; Tuya, F.; Cosme de Esteban, M.; Espino, F.; Haroun, R.; Schönke, M.; Otero-Ferrer, F. Testing side- scan and multibeam echosounder to study gardens: A case study from Macaronesia. Remote Sens. 2020, 12, 3244. [CrossRef]