Compound Effects of Water Clarity, Inflow, Wind and Climate Warming
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Lake Ecology
Fundamentals of Limnology Oxygen, Temperature and Lake Stratification Prereqs: Students should have reviewed the importance of Oxygen and Carbon Dioxide in Aquatic Systems Students should have reviewed the video tape on the calibration and use of a YSI oxygen meter. Students should have a basic knowledge of pH and how to use a pH meter. Safety: This module includes field work in boats on Raystown Lake. On average, there is a death due to drowning on Raystown Lake every two years due to careless boating activities. You will very strongly decrease the risk of accident when you obey the following rules: 1. All participants in this field exercise will wear Coast Guard certified PFDs. (No exceptions for teachers or staff). 2. There is no "horseplay" allowed on boats. This includes throwing objects, splashing others, rocking boats, erratic operation of boats or unnecessary navigational detours. 3. Obey all boating regulations, especially, no wake zone markers 4. No swimming from boats 5. Keep all hands and sampling equipment inside of boats while the boats are moving. 6. Whenever possible, hold sampling equipment inside of the boats rather than over the water. We have no desire to donate sampling gear to the bottom of the lake. 7. The program director has final say as to what is and is not appropriate safety behavior. Failure to comply with the safety guidelines and the program director's requests will result in expulsion from the program and loss of Field Station privileges. I. Introduction to Aquatic Environments Water covers 75% of the Earth's surface. We divide that water into three types based on the salinity, the concentration of dissolved salts in the water. -
Article Is Available Gen Availability
Hydrol. Earth Syst. Sci., 23, 1763–1777, 2019 https://doi.org/10.5194/hess-23-1763-2019 © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License. Oxycline oscillations induced by internal waves in deep Lake Iseo Giulia Valerio1, Marco Pilotti1,4, Maximilian Peter Lau2,3, and Michael Hupfer2 1DICATAM, Università degli Studi di Brescia, via Branze 43, 25123 Brescia, Italy 2Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587 Berlin, Germany 3Université du Quebec à Montréal (UQAM), Department of Biological Sciences, Montréal, QC H2X 3Y7, Canada 4Civil & Environmental Engineering Department, Tufts University, Medford, MA 02155, USA Correspondence: Giulia Valerio ([email protected]) Received: 22 October 2018 – Discussion started: 23 October 2018 Revised: 20 February 2019 – Accepted: 12 March 2019 – Published: 2 April 2019 Abstract. Lake Iseo is undergoing a dramatic deoxygena- 1 Introduction tion of the hypolimnion, representing an emblematic exam- ple among the deep lakes of the pre-alpine area that are, to a different extent, undergoing reduced deep-water mixing. In Physical processes occurring at the sediment–water inter- the anoxic deep waters, the release and accumulation of re- face of lakes crucially control the fluxes of chemical com- duced substances and phosphorus from the sediments are a pounds across this boundary (Imboden and Wuest, 1995) major concern. Because the hydrodynamics of this lake was with severe implications for water quality. In stratified shown to be dominated by internal waves, in this study we in- lakes, the boundary-layer turbulence is primarily caused by vestigated, for the first time, the role of these oscillatory mo- wind-driven internal wave motions (Imberger, 1998). -
A Lake and Pond Classification System for the Northeast and Mid-Atlantic States
A Lake and Pond Classification System for the Northeast and Mid-Atlantic States November 2014 Mark Anderson, Arlene Olivero Sheldon, Alex Jospe The Nature Conservancy Eastern Regional Office Call Outline • Goal • Process • Key Variables – Trophic Level – Alkalinity – Temperature – Depth • Integration of Variables into Types • Distributable Information • Web Mapping Service Goal: A classification and map of waterbodies in the Northeast Product is not intended to override existing state or regional classifications, but is meant to complement and build upon existing classifications to create a seemless eastern U.S. aquatic classification that will provide a means for looking at patterns across the region. Counterpart to the NE Aquatic Habitat Classification Streams and • Lakes and Ponds Rivers Olivero, A, and M.G. Anderson. 2008. The Northeast Aquatic Habitat Classification. The Nature Conservancy, Eastern Conservation Science. 90 pp. http://www.rcngrants.org/spatialData Steering Committee State/Federal Name Agency EPA Jeff Hollister Environmental Protection Agency ME Dave Halliwell Department of Environmental Protection Develop Douglas Suitor Department of Environmental Protection frame- Linda Bacon Department of Environmental Protection Dave Coutemanch The Nature Conservancy work NH Matt Carpenter Division of Fish and Game VT Kellie Merrell Department of Environmental Conservation MA Richard Hartley Department of Fish and Game Share Mark Mattson Department of Environmental Protection CT Brian Eltz DEEP Inland Fisheries Division data NY -
Diurnal and Seasonal Variations of Thermal Stratification and Vertical
Journal of Meteorological Research 1 Yang, Y. C., Y. W. Wang, Z. Zhang, et al., 2018: Diurnal and seasonal variations of 2 thermal stratification and vertical mixing in a shallow fresh water lake. J. Meteor. 3 Res., 32(x), XXX-XXX, doi: 10.1007/s13351-018-7099-5.(in press) 4 5 Diurnal and Seasonal Variations of Thermal 6 Stratification and Vertical Mixing in a Shallow 7 Fresh Water Lake 8 9 Yichen YANG 1, 2, Yongwei WANG 1, 3*, Zhen ZHANG 1, 4, Wei WANG 1, 4, Xia REN 1, 3, 10 Yaqi GAO 1, 3, Shoudong LIU 1, 4, and Xuhui LEE 1, 5 11 1 Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information, 12 Science and Technology, Nanjing 210044, China 13 2 School of Environmental Science and Engineering, Nanjing University of Information, 14 Science and Technology, Nanjing 210044, China 15 3 School of Atmospheric Physics, Nanjing University of Information, Science and Technology, 16 Nanjing 210044, China 17 4 School of Applied Meteorology, Nanjing University of Information, Science and 18 Technology, Nanjing 210044, China 19 5 School of Forestry and Environmental Studies, Yale University, New Haven, CT 06511, 20 USA 21 (Received June 21, 2017; in final form November 18, 2017) 22 23 Supported by the National Natural Science Foundation of China (41275024, 41575147, Journal of Meteorological Research 24 41505005, and 41475141), the Natural Science Foundation of Jiangsu Province, China 25 (BK20150900), the Startup Foundation for Introducing Talent of Nanjing University of 26 Information Science and Technology (2014r046), the Ministry of Education of China under 27 grant PCSIRT and the Priority Academic Program Development of Jiangsu Higher Education 28 Institutions. -
Effects of Similar Weather Patterns on the Thermal Stratification, Mixing
BOREAL ENVIRONMENT RESEARCH 23: 237–247 © 2018 ISSN 1797-2469 (online) Helsinki 29 August 2018 Effects of similar weather patterns on the thermal stratification, mixing regimes and hypolimnetic oxygen depletion in two boreal lakes with different water transparency Ivan Mammarella1,*, Galyna Gavrylenko2, Galina Zdorovennova2, Anne Ojala1,3,5, Kukka-Maaria Erkkilä1, Roman Zdorovennov2, Oleg Stepanyuk1,4, Nikolay Palshin2, Arkady Terzhevik2, Timo Vesala1,5 & Jouni Heiskanen1,6 1) Faculty of Science, Institute for Atmosphere and Earth System Research/Physics, P.O. Box 68, FI-00014 University of Helsinki, Finland (*corresponding author’s e-mail: [email protected]) 2) Northern Water Problems Institute, Karelian Research Centre, Russian Academy of Sciences, Aleksander Nevsky st. 50, RU-185030 Petrozavodsk, Russia 3) Faculty of Biological and Environmental Sciences, Ecosystems and Environment Research Programme, Niemenkatu 73, FI-15140 Lahti, Finland 4) Institution of Russian Academy of Sciences, Dorodnicyn Computing Centre of RAS, Vavilov st. 40, RU-119333 Moscow, Russia 5) Institute for Atmosphere and Earth System Research/Forest Sciences, P.O. Box 27, Faculty of Agriculture and Forestry, FI-00014 University of Helsinki, Finland 6) ICOS ERIC, Erik Palménin aukio 1, FI-00560 Helsinki, Finland Received 18 Aug. 2017, final version received 22 Aug. 2018, accepted 23 Aug. 2018 Mammarella I., Gavrylenko G., Zdorovennova G., Ojala A., Erkkilä K.-M., Zdorovennov R., Stepanyuk O., Palshin N., Terzhevik A., Vesala T. & Heiskanen J. 2018: Effects of similar weather patterns on the thermal stratification, mixing regimes and hypolimnetic oxygen depletion in two boreal lakes with differ- ent water transparency. Boreal Env. Res. 23: 237–247. Mechanistic understanding of the impacts of changing climate on the thermal stratification and mixing dynamics of oxygen in lake ecosystems is hindered by limited evidence on how functioning of individual lakes is affected by interannual variability in meteorological conditions. -
Diurnal and Seasonal Variations of Thermal Stratification and Vertical Mixing in a Shallow Fresh Water Lake
Volume 32 APRIL 2018 Diurnal and Seasonal Variations of Thermal Stratification and Vertical Mixing in a Shallow Fresh Water Lake Yichen YANG1,2, Yongwei WANG1,3*, Zhen ZHANG1,4, Wei WANG1,4, Xia REN1,3, Yaqi GAO1,3, Shoudong LIU1,4, and Xuhui LEE1,5 1 Yale–NUIST Center on Atmospheric Environment, Nanjing University of Information Science & Technology, Nanjing 210044, China 2 School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China 3 School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China 4 School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China 5 School of Forestry and Environmental Studies, Yale University, New Haven, CT 06511, USA (Received June 21, 2017; in final form November 18, 2017) ABSTRACT Among several influential factors, the geographical position and depth of a lake determine its thermal structure. In temperate zones, shallow lakes show significant differences in thermal stratification compared to deep lakes. Here, the variation in thermal stratification in Lake Taihu, a shallow fresh water lake, is studied systematically. Lake Taihu is a warm polymictic lake whose thermal stratification varies in short cycles of one day to a few days. The thermal stratification in Lake Taihu has shallow depths in the upper region and a large amplitude in the temperature gradient, the maximum of which exceeds 5°C m–1. The water temperature in the entire layer changes in a relatively consistent manner. Therefore, compared to a deep lake at similar latitude, the thermal stratification in Lake Taihu exhibits small seasonal differences, but the wide variation in the short term becomes important. -
2014 Temperature Monitoring Project Report
2014 Temperature Monitoring Project Report January 13, 2015 Lakes Environmental Association 230 Main Street Bridgton, ME 04009 207-647-8580 [email protected] Project Summary LEA began using in-lake data loggers to acquire high resolution temperature measure- ments in 2013. We expanded in 2014 to include 15 basins on 12 lakes and ponds in the Lakes Region of Western Maine. The loggers, also known as HOBO temperature sensors, allow us to obtain important information that was previously out of reach because of the high cost of man- ual sampling. Using digital loggers to record temperature gives us both a more detailed and longer record of temperature fluctuations. This information will help us better understand the physical structure, water quality, and extent and impact of climate change on the waterbody tested. Most of the lakes tested reached their maximum temperature on July 23rd. Surface tem- perature patterns were similar across all basins. The date of complete lake mixing varied con- siderably, with shallower lakes destratifying in September and others not fully mixed until No- vember. Differences in yearly stratification were seen in lakes with HOBO sensor chain data from 2013 and 2014. A comparison with routine water testing data confirmed the accuracy of the HOBO sensors throughout the season. A month-by-month comparison of temperature pro- files in each lake showed the strongest stratification around the time of maximum temperature, in late July. In addition, August stratification was stronger than June and early July stratifica- tion. Shallow sensors showed similar average temperatures between 2013 and 2014. Deployment of temperature sensors on Trickey Pond. -
Lake Stratification and Mixing
Lake Stratification and Mixing Many of our Illinois lakes and reservoirs are deep force strong enough to resist the wind's mixing forces enough to stratify, or form "layers" of water with (it only takes a difference of a few degrees Fahrenheit different temperatures. Such thermal stratification to prevent mixing). The lake now stratifies into three occurs because of the large differences in density layers of water—a situation termed summer (weight) between warm and cold waters. Density stratification. The upper layer is a warm (lighter), depends on temperature: water is most dense (heaviest) well-mixed zone called the epilimnion. Below this is a at about 39EF, and less dense (lighter) at temperatures transitional zone where temperatures rapidly change warmer and colder than 39EF. called the metalimnion. The thermocline is a horizontal plane within the metalimnion through the The Stratification Process point of greatest water temperature change. The metalimnion is very resistant to wind mixing. Beneath In the fall, chilly air temperatures cool the lake's the metalimnion and extending to the lake bottom is surface. As the surface water cools, it becomes more the colder (heavier), usually dark, and relatively dense and sinks to the bottom. Eventually the entire undisturbed hypolimnion. lake reaches about 39EF (4EC). As the surface water cools even more, it becomes less dense and "floats" on The most important actions causing lake mixing are top of the denser 39EF water, forming ice at 32EF wind, inflowing water, and outflowing water. While (0EC). The lake water below the ice remains near wind influences the surface waters of all lakes, its 39EF. -
Response of Water Temperatures and Stratification to Changing Climate In
Hydrol. Earth Syst. Sci., 21, 6253–6274, 2017 https://doi.org/10.5194/hess-21-6253-2017 © Author(s) 2017. This work is distributed under the Creative Commons Attribution 3.0 License. Response of water temperatures and stratification to changing climate in three lakes with different morphometry Madeline R. Magee1,2 and Chin H. Wu1 1Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA 2Center of Limnology, University of Wisconsin-Madison, Madison, WI 53706, USA Correspondence: Chin H. Wu ([email protected]) Received: 27 May 2016 – Discussion started: 26 July 2016 Revised: 13 October 2017 – Accepted: 2 November 2017 – Published: 11 December 2017 Abstract. Water temperatures and stratification are impor- changes in air temperature, and wind can act to either amplify tant drivers for ecological and water quality processes within or mitigate the effect of warmer air temperatures on lake ther- lake systems, and changes in these with increases in air mal structure depending on the direction of local wind speed temperature and changes to wind speeds may have signifi- changes. cant ecological consequences. To properly manage these sys- tems under changing climate, it is important to understand the effects of increasing air temperatures and wind speed changes in lakes of different depths and surface areas. In 1 Introduction this study, we simulate three lakes that vary in depth and sur- face area to elucidate the effects of the observed increasing The past century has experienced global changes in air tem- air temperatures and decreasing wind speeds on lake thermal perature and wind speed. -
Snowmelt Timing As a Determinant of Lake Inflow Mixing 10.1002/2017WR021977 D
PUBLICATIONS Water Resources Research RESEARCH ARTICLE Snowmelt Timing as a Determinant of Lake Inflow Mixing 10.1002/2017WR021977 D. C. Roberts1,2 , A. L. Forrest1,2 , G. B. Sahoo1,2, S. J. Hook3, and S. G. Schladow1,2 Special Section: 1 2 Responses to Environmental Department of Civil & Environmental Engineering, University of California, Davis, CA, USA, UC Davis Tahoe 3 Change in Aquatic Mountain Environmental Research Center, Incline Village, NV, USA, Jet Propulsion Laboratory, California Institute of Technology, Ecosystems Pasadena, CA, USA Key Points: Abstract Snowmelt is a significant source of carbon, nutrient, and sediment loads to many mountain Snowpack magnitude affects the relative timing of snowmelt and lakes. The mixing conditions of snowmelt inflows, which are heavily dependent on the interplay between spring lake warming in a long- snowmelt and lake thermal regime, dictate the fate of these loads within lakes and their ultimate impact on residence time, snowmelt-fed lake lake ecosystems. We use five decades of data from Lake Tahoe, a 600 year residence-time lake where snow- Reduced snowpack increases the proportion of annual inflow entering melt has little influence on lake temperature, to characterize the snowmelt mixing response to a range of the lake prior to stratification and climate conditions. Using stream discharge and lake profile data (1968–2017), we find that the proportion with near-neutral buoyancy of annual snowmelt entering the lake prior to the onset of stratification increases as annual snowpack A projected shift toward decreased snowpack may increase nearshore decreases, ranging from about 50% in heavy-snow years to close to 90% in warm, dry years. -
Article Is Part of the Special Issue Dispersion in the Forcing Ensemble
Hydrol. Earth Syst. Sci., 23, 1533–1551, 2019 https://doi.org/10.5194/hess-23-1533-2019 © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License. Future projections of temperature and mixing regime of European temperate lakes Tom Shatwell1,2, Wim Thiery3,4, and Georgiy Kirillin1 1Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Department of Ecohydrology, Müggelseedamm 310, 12587 Berlin, Germany 2Helmholtz Centre for Environmental Research (UFZ), Department of Lake Research, Brückstrasse 3a, 39114 Magdeburg, Germany 3ETH Zurich, Institute for Atmospheric and Climate Science, Universitaetstrasse 16, 8092 Zurich, Switzerland 4Vrije Universiteit Brussel, Department of Hydrology and Hydraulic Engineering, Pleinlaan 2, 1050 Brussels, Belgium Correspondence: Tom Shatwell ([email protected]) Received: 21 November 2018 – Discussion started: 26 November 2018 Revised: 25 February 2019 – Accepted: 26 February 2019 – Published: 18 March 2019 Abstract. The physical response of lakes to climate warm- tivity analysis predicted that decreasing transparency would ing is regionally variable and highly dependent on individ- dampen the effect of warming on mean temperature but am- ual lake characteristics, making generalizations about their plify its effect on stratification. However, this interaction was development difficult. To qualify the role of individual lake only predicted to occur in clear lakes, and not in the study characteristics in their response to regionally homogeneous lakes at their historical transparency. Not only lake morphol- warming, we simulated temperature, ice cover, and mixing ogy, but also mixing regime determines how heat is stored in four intensively studied German lakes of varying mor- and ultimately how lakes respond to climate warming. -
The Changing Phenology of Lake Stratification…
Scott Williams, ME Volunteer Lake Monitoring Program Dave Courtemanch, The Nature Conservancy Linda Bacon, ME Dept. Environmental Protection NEC NALMS June 8, 2013 The Changing Phenology of Lake Stratification… Extreme weather 2012 (temperature & precipitation) Observations from Maine lakes Lake Auburn George’s and Abrams Ponds Changes in thermal stratification dynamics Future of Maine lakes through a climate change lens Stratification in a Dimictic Lake Stratification in a Dimictic Lake Drivers of Thermal Stratification Lake morphometry – area, depth, volume Solar radiation Air temperature Inflow – surface and groundwater Shape and orientation of lake basin Climate change related factors Warming air temperature Increasing precipitation Storm intensity Precipitation mode Decreasing albedo Solar radiation (?) Increased dissolved organic carbon How might these influence stratification? Lakes with early ice-out are primed to stratify earlier Increased duration of stratification Altered depth (volume, area) of stratification Increasing hypoxia in subsurface water Altered thermal diffusion gradient (thickness of thermocline) Altered run-off regimes modifying flushing characteristics Rangeley Moosehead Auburn Sebago Damariscotta Smoothed-line ice-out dates for eight New England Lakes (from Hodgkins, James, and Huntington, 2005) Average monthly temperature, NWS, Gray Maine 2012 monthly average in red Monthly average precipitation from NWS, Gray Maine 2012 data in red Georges Pond, Franklin, ME Georges Pond Temperature