Advancing Catchment Hydrology to Deal with Predictions Under Change
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Practical Hydroinformatics
Water Science and Technology Library 68 Practical Hydroinformatics Computational Intelligence and Technological Developments in Water Applications Bearbeitet von Robert J Abrahart, Linda M See, Dimitri P Solomatine 1. Auflage 2008. Buch. xvi, 506 S. Hardcover ISBN 978 3 540 79880 4 Format (B x L): 15,5 x 23,5 cm Gewicht: 944 g Weitere Fachgebiete > Geologie, Geographie, Klima, Umwelt > Geologie > Hydrologie, Hydrogeologie Zu Inhaltsverzeichnis schnell und portofrei erhältlich bei Die Online-Fachbuchhandlung beck-shop.de ist spezialisiert auf Fachbücher, insbesondere Recht, Steuern und Wirtschaft. Im Sortiment finden Sie alle Medien (Bücher, Zeitschriften, CDs, eBooks, etc.) aller Verlage. Ergänzt wird das Programm durch Services wie Neuerscheinungsdienst oder Zusammenstellungen von Büchern zu Sonderpreisen. Der Shop führt mehr als 8 Millionen Produkte. Chapter 2 Data-Driven Modelling: Concepts, Approaches and Experiences D. Solomatine, L.M. See and R.J. Abrahart Abstract Data-driven modelling is the area of hydroinformatics undergoing fast development. This chapter reviews the main concepts and approaches of data-driven modelling, which is based on computational intelligence and machine-learning methods. A brief overview of the main methods – neural networks, fuzzy rule-based systems and genetic algorithms, and their combination via committee approaches – is provided along with hydrological examples and references to the rest of the book. Keywords Data-driven modelling · data mining · computational intelligence · fuzzy rule-based systems · genetic algorithms · committee approaches · hydrology 2.1 Introduction Hydrological models can be characterised as physical, mathematical (including lumped conceptual and distributed physically based models) and empirical. The lat- ter class of models, in contrast to the first two, involves mathematical equations that are not derived from physical processes in the catchment but from analysis of time series data. -
Journal of Hydrology: Regional Studies 7 (2016) 38–54
Journal of Hydrology: Regional Studies 7 (2016) 38–54 Contents lists available at ScienceDirect Journal of Hydrology: Regional Studies jo urnal homepage: www.elsevier.com/locate/ejrh Examining runoff generation processes in the Selke catchment in central Germany: Insights from data and semi-distributed numerical model a,b,∗ b b Sumit Sinha , Michael Rode , Dietrich Borchardt a Geography Department, Durham University, Science Site, Durham, DH1 3LE, UK b Department of Aquatic Ecosystem Analysis, Helmholtz Centre for Environmental Research-UFZ, Bruckstrasse 3a, 39114 Magdeburg, Germany a r t i c l e i n f o a b s t r a c t Article history: Study region: Our study is focussed on a mesoscale catchment, Selke, in central Germany Received 9 March 2016 2 having an area of 463 km with spatially diverse land-use from upland to the low-lying Received in revised form 2 June 2016 areas in the vicinity of the catchment outlet. Accepted 11 June 2016 Study focus: This study used rainfall-runoff data available on daily time step to examine Available online 7 July 2016 the spatio-temporal variation of runoff coefficients. We then applied a validated semi- distributed hydrological model, HYPE, for examining the spatio-temporal variation of runoff Keywords: generating mechanisms. HYPE model was modified in a minor fashion and simulations Horton runoff were conducted again to find out the portion of discharge originating from different runoff Dunne runoff generation mechanisms. Runoff generation New hydrological insights for the region: We examined the spatio-temporal variation of runoff Semi-distributed model HYPE model generating mechanisms on the sub-basin level on seasonal basis. -
Incorporating Student-Centered Approaches Into Catchment Hydrology Teaching: a Review and Synthesis
Hydrol. Earth Syst. Sci., 16, 3263–3278, 2012 www.hydrol-earth-syst-sci.net/16/3263/2012/ Hydrology and doi:10.5194/hess-16-3263-2012 Earth System © Author(s) 2012. CC Attribution 3.0 License. Sciences Incorporating student-centered approaches into catchment hydrology teaching: a review and synthesis S. E. Thompson1, I. Ngambeki2,5, P. A. Troch3, M. Sivapalan4, and D. Evangelou2 1Department of Civil and Environmental Engineering, University of California, Berkeley, CA, USA 2School of Engineering Education, Purdue University, West Lafayette, IN, USA 3Department of Hydrology and Water Resources, University of Arizona, Tucson, AZ, USA 4Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, IL, USA 5Global Policy Research Institute and Department of Technology, Leadership, and Innovation, College of Technology, Purdue University, West Lafayette, IN, USA Correspondence to: S. E. Thompson ([email protected]) Received: 15 December 2011 – Published in Hydrol. Earth Syst. Sci. Discuss.: 13 January 2012 Revised: 20 August 2012 – Accepted: 22 August 2012 – Published: 13 September 2012 Abstract. As hydrologists confront the future of water 1 Introduction resources on a globalized, resource-scarce and human- impacted planet, the educational preparation of future gen- erations of water scientists becomes increasingly important. There is an increasing need to understand the dynamics of Although hydrology inherits a tradition of teacher-centered water resources as key determinants of development, hu- direct instruction – based on lecture, reading and assign- man and environmental health, and conflict and sustainabil- ment formats – a growing body of knowledge derived from ity (Gleick and Palaniappan, 2010; Postel and Wolf, 2001; engineering education research suggests that modifications United Nations Development Program, 2011). -
Applications of Social Media in Hydroinformatics: a Survey
Applications of Social Media in Hydroinformatics: A Survey Yufeng Yu, Yuelong Zhu, Dingsheng Wan,Qun Zhao [email protected] College of Computer and Information Hohai University Nanjing, Jiangsu, China Kai Shu, Huan Liu [email protected] School of Computing, Informatics, and Decision Systems Engineering Arizona State University Tempe, Arizona, U.S.A Abstract Floods of research and practical applications employ social media data for a wide range of public applications, including environmental monitoring, water resource managing, disaster and emergency response, etc. Hydroinformatics can benefit from the social media technologies with newly emerged data, techniques and analytical tools to handle large datasets, from which creative ideas and new values could be mined. This paper first proposes a 4W (What, Why, When, hoW) model and a methodological structure to better understand and represent the application of social media to hydroinformatics, then provides an overview of academic research of applying social media to hydroinformatics such as water environment, water resources, flood, drought and water Scarcity management. At last,some advanced topics and suggestions of water-related social media applications from data collection, data quality management, fake news detection, privacy issues , algorithms and platforms was present to hydroinformatics managers and researchers based on previous discussion. Keywords: Social Media, Big Data, Hydroinformatics, Social Media Mining, Water Resource, Data Quality, Fake News 1 Introduction In the past two -
Hydroinformatics and Its Applications at Delft Hydraulics Arthur E
83 © IWA Publishing 1999 Journal of Hydroinformatics | 01.2 | 1999 Hydroinformatics and its applications at Delft Hydraulics Arthur E. Mynett ABSTRACT Hydroinformatics concerns applications of advanced information technologies in the fields Arthur E. Mynett Department of Strategic Research and of hydro-sciences and engineering. The rapid advancement and indeed the very success of Development, hydroinformatics is directly associated with these applications. The aim of this paper is to provide Delft Hydraulics, Postbus 177, Rotterdamseweg 185, 2600 MH Delft, an overview of some recent advances and to illustrate the practical implications of hydroinformatics The Netherlands technologies. A selection of characteristic examples on various topics is presented here, demonstrating the practical use at Delft Hydraulics. Most surely they will be elaborated upon in a more detailed way in forthcoming issues of this Journal. First, a very brief historical background is outlined to characterise the emergence and evolution of hydroinformatics in hydraulic and environmental engineering practice. Recent advances in computational hydraulics are discussed next. Numerical methods are outlined whose main advantages lie in their efficiency and applicability to a very wide range of practical problems. The numerical scheme has to adhere only to the velocity Courant number and is based upon a staggered grid arrangement. Therefore the method is efficient for most free surface flows, including complex networks of rivers and canals, as well as overland flows. Examples are presented for dam break problems and inundation of polders. The latter results are presented within the setting of a Geographical Information System. In general, computational modelling can be viewed as a class of techniques very much based on, and indeed quite well described by, mathematical equations. -
Is There a Baseflow Budyko Curve? Water Resources Research, 55(4), 2838- 2855
Gnann, S. J. , Woods, R. A., & Howden, N. J. K. (2019). Is There a Baseflow Budyko Curve? Water Resources Research, 55(4), 2838- 2855. https://doi.org/10.1029/2018WR024464 Publisher's PDF, also known as Version of record Link to published version (if available): 10.1029/2018WR024464 Link to publication record in Explore Bristol Research PDF-document This is the final published version of the article (version of record). It first appeared online via AGU at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018WR024464 . Please refer to any applicable terms of use of the publisher. University of Bristol - Explore Bristol Research General rights This document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/red/research-policy/pure/user-guides/ebr-terms/ RESEARCH ARTICLE Is There a Baseflow Budyko Curve? 10.1029/2018WR024464 Sebastian J. Gnann1 , Ross A. Woods1 , and Nicholas J. K. Howden1 Key Points: • The fraction of precipitation that 1Department of Civil Engineering, University of Bristol, Bristol, UK becomes baseflow cannot be estimated using the aridity index alone There is no general theory to explain differences in baseflow between catchments, despite • In humid catchments the baseflow Abstract fraction is limited by a catchment's evidence that it is mainly controlled by climate and landscape. One hypothesis is that baseflow fraction wetting potential (storage capacity) (the ratio between baseflow and precipitation) can be primarily attributed to the aridity index (the ratio • In arid catchments the baseflow between potential evapotranspiration and precipitation), that is, that there is a “baseflow Budyko curve.” fraction is limited by high vaporization amounts Comparing catchment data from the United States and the United Kingdom shows, however, that aridity is not always a good predictor of baseflow fraction. -
Approaches to Hydrologic Classification
Appendix 2 Protocols for hydrologic classification and a review of Australian applications J.D. Olden1, C.A. Reidy Liermann1, B.J. Pusey2 and M.J. Kennard2 1 School of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington, USA 2 Australian Rivers Institute, Griffith University, Nathan, Queensland, Australia 1 Summary Hydrologic classification is the process of systematically arranging streams, rivers or catchments into groups that are most similar with respect to characteristics of their flow regime. Previous classification efforts have relied on a plethora of hydrologic metrics that account for characteristics of flow variability that are hypothesised to be important in shaping ecological and physical processes in lotic ecosystems. We review the process of hydrologic classification by (i) exploring its past application in the ecological sciences; (ii) reviewing existing statistical approaches to identify and characterise hydrologic classes; and (iii) providing a methodological framework for hydrologic classification that depicts critical components of the classification process. Ecologists have used hydrologic classification to place individual streams and rivers into a broader spatial context with the goal of maximising the transferability of knowledge among rivers of the same hydrologic class. Regionalisation analyses to predict streamflow behaviour in ungauged catchments often comprise a set of regression models based on several different classes of certain hydrological information at gauged sites. Consequently, by dividing a study area into homogeneous groups that are considered to exhibit similar hydrologic characteristics, records may be extrapolated with more precision, and regionalisation models based on catchment characteristics may be used with greater confidence. Hydrologic classification plays a central role in environmental flow assessments aimed at the development of ecologically sustainable practices for water management. -
Time Series Scenario Composition Framework in Hydroinformatics Systems
Time Series Scenario Composition Framework in Hydroinformatics Systems Von der Fakultät für Umweltwissenschaften und Verfahrenstechnik der Brandenburgischen Technischen Universität Cottbus-Senftenberg zur Erlangung des akademischen Grades eines Doktor-Ingenieurs genehmigte Dissertation vorgelegt von Master of Science Chi-Yu LI aus Taipeh, TAIWAN Gutachter: apl. Prof. Dr.-Ing. Frank Molkenthin Gutachter: Prof. Dr.-Ing. Reinhard Hinkelmann Tag der mündliche Prüfung: 04. Dezember 2014 Cottbus 2014 Declaration I, Chi-Yu Li, hereby declare that this thesis entitled "Time Series Composition Framework in Hydroinformatics Systems" was carried out and written independently, unless where clearly stated otherwise. I have used only the sources, the figures and the data that are clearly stated. This thesis has not been published elsewhere. Cottbus, June 25, 2014 Chi-Yu Li ii Abstract Since Z3, the first automatic, programmable and operational computer, emerged in 1941, computers have become an unshakable tool in varieties of engineering researches, studies and applications. In the field of hydroinformatics, there exist a number of tools focusing on data collection and management, data analysis, numerical simulations, model coupling, post-processing, etc. in different time and space scales. However, one crucial process is still missing — filling the gap between available mass raw data and simulation tools. In this research work, a general software framework for time series scenario composition is proposed to improve this issue. The design of this framework is aimed at facilitating simulation tasks by providing input data sets, e.g. Boundary Conditions (BCs), generated for user-specified what-if scenarios. These scenarios are based on the available raw data of different sources, such as field and laboratory measurements and simulation results. -
Overland Flow Under Rainfall
OVERLANDFLO WUNDE RRAINFALL : SOMEASPECT SRELATE DT OMODELLIN GAN DCONDITIONIN GFACTOR S ONTVANGEN 2 f!0V. 1C^ SB-KARDEX CENTRALE LANDBOUWCATALOGUS 0000 0359 4435 Hoffî Promotor: dr. ir. W.H. van der Molen oud-hoogleraar ind e agrohydrologie Co-promotor: dr. ir.R.W.R . Koopmans universitair hoofddocent by de vakgroep Hydrologie, Bodemnatuurkunde en Hydraulica ijtJoXTot, ßZi J.L.M.P. de Lima OVERLAND FLOW UNDER RAINFALL: SOME ASPECTS RELATED TOMODELLIN G AND CONDITIONING FACTORS Proefschrift ter verkrijging van de graad van doctor ind e landbouwwetenschappen, op gezag van de rector magnificus, dr. H.C. van der Plas, inhe t openbaar te verdedigen op vrijdag 8decembe r 1989 des namiddags te vier uur ind e aula van de Landbouwuniversiteit te Wageningen Vrw*3 To Isabel and Rui ijiV LANDI3ÜU„ U> :iVERSITEt1" WAOENTNGFN MN>o77o| IZ2^ STATEMENTS 1. Raindrop splash anisotropy is a factor affecting splash erosion. Slope, wind and overland flow velocity are the factors contributing to that anisotropy. This thesis, Section 7.4. 2. At the hillslope scale, wind action should be considered in the modelling of overland flow. This thesis. Sections 7.1 to 7.3. 3. The morphological factors affecting overland flow on slopes are: slope gradient, slope length, slope shape, and slope exposure to prevailing rain-bringingwinds . This thesis, Chapter 6. 4. The processes of overland flow and infiltration occur simultaneously in nature during and after the occurrence of rainfall. What is required in overland flowmodellin g isa combined study of these twoprocesses . R.E. Smith and D.A. Woolhiser, Water Resources Research 7 (1971): 899-913. -
Field-Based Analysis of Runoff Generation Processes in Humid
water Article Field-Based Analysis of Runoff Generation Processes in Humid Lowlands of the Taihu Basin, China Yue Zhai 1, Chuanhai Wang 1,2, Gang Chen 1,2,* , Chun Wang 1, Xiaoning Li 1,2 and Yating Liu 1 1 College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China; [email protected] (Y.Z.); [email protected] (C.W.); [email protected] (C.W.); [email protected] (X.L.); [email protected] (Y.L.) 2 Skate Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China * Correspondence: [email protected]; Tel.: +86-139-1302-9378 Received: 6 March 2020; Accepted: 20 April 2020; Published: 24 April 2020 Abstract: In the flat lowland agricultural areas of subtropical climate zones, the runoff process has a great influence on the regional water quantity and quality. In this study, field data about rainfall, evapotranspiration, soil moisture, groundwater table, and surface water dynamics were collected in two different experimental sites in the Taihu Basin, China. Results showed that densely distributed ditches contributed to shallow groundwater depths and persistent near-saturation soil. A correlation analysis was conducted to improve the understandings of runoff generation in humid lowland areas of the Taihu Basin. It was found that a Dunne overland flow was the dominant mechanism responsible for the rapid runoff generation. The total rainfall and runoff expressed a good linear relationship with an R2 of 0.95 in the Hongqiwei test site. The initial groundwater depth was considered as the indicator of the antecedent soil moisture estimation for the close relationship. -
Runoff Production on Forest Roads in a Steep, Mountain Catchment Beverley C
WATER RESOURCES RESEARCH, VOL. 39, NO. 8, 1220, doi:10.1029/2002WR001744, 2003 Runoff production on forest roads in a steep, mountain catchment Beverley C. Wemple Department of Geography, University of Vermont, Burlington, Vermont, USA Julia A. Jones Department of Geosciences, Oregon State University, Corvallis, Oregon, USA Received 27 September 2002; revised 27 March 2003; accepted 21 May 2003; published 28 August 2003. [1] This study investigated how roads interact with hillslope flow in a steep, forested landscape dominated by subsurface flow and how road interactions with hillslope flow paths influence hydrologic response during storms in a second-order catchment. Runoff was measured continuously from 12 subcatchments draining to road segments and covering 14% of a 101-ha, second-order catchment (WS3) in the Andrews Forest, Oregon. Observed runoff over the 1996 water year was compared to predictions for runoff timing and interception of a hillslope water table based on a simple model of kinematic subsurface storm flow. Observed runoff behavior was consistent with model estimates, a finding that underscores the utility of this simple approach for predicting and explaining runoff dynamics on forest roads constructed on steep hillslopes. Road segments in the study area interacted in at least four distinct ways with complex landforms, potentially producing very different effects depending on landform characteristics. Hillslope length, soil depth, and cutbank depth explained much of the variation in road runoff production among subcatchments and among storm events. Especially during large storm events, a majority of instrumented road segments intercepted subsurface flow and routed it to ditches and thence directly to streams with a timing that contributed to the rising limb of the catchment-wide hydrograph. -
Hydroinformatics Support to Flood Forecasting and Flood Management
Water in Celtic Countries: Quantity, Quality and Climate Variability (Proceedings of the Fourth InterCeltic 23 Colloquium on Hydrology and Management of Water Resources, Guimarães, Portugal, July 2005). IAHS Publ. 310, 2007. Hydroinformatics support to flood forecasting and flood management ADRI VERWEY WL | Delft Hydraulics, Delft, The Netherlands [email protected] Abstract This keynote paper describes state-of-the-art hydroinformatics support to the water sector. A few examples are worked out in some detail, whereas for other examples the reader is guided to recent literature. The focus is on flood forecasting and flood management, with a brief description of the potential of changing technologies that support studies and facilities in this area. Examples are: new data collection methods; data mining from these extensive new sources of information, e.g. the use of genetic programming; data driven modelling techniques, e.g. artificial neural networks; decision support systems; and the provision of a hydroinformatics platform for flood forecasting. Particular attention is given to advances in numerical flood modelling. Over recent years the robustness of numerical models has increased substantially, solving for example, the flooding and drying problem of flood plains and the computation of supercritical flows. In addition, the emergence of hybrid 1D2D models is discussed with their different options for linking model components of flood prone areas. Key words data mining; flood forecasting; flood management; flow resistance; flood