Abstract
River water bodies serve as prominent water sources for various purposes ranging from drinking water, waste load allocation, irrigation, hydropower generation and ecosystem services. Human activities and natural processes require a balanced water supply and demand, while population growth, land use and climate change are the external forces which try to change the stream and river water quantity and quality. Water temperature is an inherent property of its quality and a controlling factor of health of freshwater environments. It is often considered as a driver of metabolic activity in water bodies, which influence the biological and chemical processes affecting the metabolic responses from organisms to ecosystems. The present work aims to explore sources of predictability of river water temperature (RWT) as a keen driver of hydrological and ecological processes at multiple scales. Increasing RWT in response to climate change and local-to-regional anthropogenic activities result in decreasing dissolved oxygen (DO) levels and anaerobic conditions in the aquatic system, thereby affecting marine life and the consequent availability of food, reproduction and migration. An assessment of integrated RWT and streamflow fluctuations is proposed to evidence biological activity, chemical speciation, oxygen solubility and self-purification capacity of a river system and fluctuations of flows responsive to hydro-climate pulses. The independent and integrated contributions of air temperatures and flow fluctuations to RWT in the Missouri River near Nebraska City, USA, represent the stream responses to global raising temperatures. To quantify the contributions of multiple variations of predictor variables in the air-water interfaces to RWT variability, we use a multiple regression. The performance of the model was tested along Missouri River near Nebraska City, USA, using historical series of daily river water temperature, air temperature and river discharges for the 1947–2014 period. A sensitivity analysis on river water temperature is performed, under air temperature increase of +2 °C, +4 °C and + 6 °C with a decrease of discharge of ±20%. Overall, the increase of RWT for the Missouri River is observed as about 2.76 °C under various air temperature and discharge changes when compared with the observed conditions at mean annual scale. The study results provide a comprehensive analysis of the impacts of river discharge and air temperature changes under climate change over RWT.
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References
Bogan, T., Mohseni, O., & Stefan, H. G. (2003). Stream temperature-equilibrium temperature relationship. Water Resources Research, 39(9), 1245. https://doi.org/10.1029/2003WR002034.
Bogan, T., Othmer, J., Mohseni, O., & Stefan, H. (2006). Estimating extreme stream temperatures by the standard deviate method. Journal of Hydrology, 317, 173–189.
Caissie, D. (2006). The thermal regime of rivers: A review. Freshwater Biology, 51(8), 1389–1406.
Caissie, D., Satish, M. G., & El-Jabi, N. (2007). Predicting water temperatures using a deterministic model: Application on Miramichi River catchments (New Brunswick, Canada). Journal of Hydrology, 336, 303–315.
Dingman, S. L. (1972). Equilibrium temperature of water surface as related to air temperature and solar radiation. Water Resources Research, 8(1).
Edinger, J. E., Duttweiler, D. W., & Geyer, J. C. (1968). The response of water temperatures to meteorological conditions. Water Resources Research, 4(1), 1137–1143.
Ficklin, D. L., Luo, Y., Stewart, I. T., & Maurer, E. P. (2012). Development and application of a hydroclimatological stream temperature model within the soil and water assessment tool. Water Resources Research, 48, W01511. https://doi.org/10.1029/2011WR011256.
Hockey, J. B., Owens, I. F., & Tapper, N. J. (1982). Empirical and theoretical models to isolate the effect of discharge on summer water temperatures in the Hurunui River. Journal of Hydrology, 21(1), 1–12.
IPCC. (2014). Climate Change Synthesis report. Summary for policymakers. https://www.ipcc.ch/pdf/assessmentreport/ar5/syr/AR5_SYR_FINAL_SPM.pdf.
Janssen, P. H. M., & Heuberger, P. S. C. (1995). Calibration of process oriented models. Ecological Modelling, 83(1– 2), 55–66.
Kendall, M. G. (1955). Rank correlation methods. New York: Hafner Publishing Co.
Kim, K. S., & Chapra, S. C. (1997). Temperature model for highly transient shallow streams. Journal of Hydraulic Engineering, 123, 30–40.
Mackey, A. P., & Berrie, A. D. (1991). The prediction of water temperatures in chalk streams from air temperatures. Hydrobiologia, 210, 183–189.
Mann, H. B. N. T. (1945). Against trend. Econometrica, 13, 245–259. https://doi.org/10.2307/1907187.
Marce, R., & Armengol, J. (2008). Modelling river water temperature using deterministic, empirical, and hybrid formulations in a Mediterranean stream. Hydrological Processes, 22, 3418–3430. https://doi.org/10.1002/hyp.6955.
Mohseni, O., & Stefan, H. G. (1999). Stream temperature air temperature relationship: A physical interpretation. Journal of Hydrology, 218(3–4), 128–141.
Mohseni, O., Stefan, H. G., & Erickson, T. R. (1998). A nonlinear regression model for weekly stream temperatures. Water Resources Research, 34, 2685–2692.
Nash, J. E., & Sutcliffe, J. V. (1970). River flow forecasting through conceptual models, part 1: A discussion of principles. Journal of Hydrology, 10(3), 282–290.
Neumann, D. W., Rajagopalan, B., & Zagona, E. A. (2003). Regression model for daily maximum stream temperature. Journal of Environmental Engineering, 129, 667–674.
O’Driscoll, M. A., & DeWalle, D. R. (2006). Stream–air temperature relations to classify stream–ground water interactions in a karst setting, Central Pennsylvania, USA. Journal of Hydrology, 329, 140–153.
Rehana, S., & Dhanya, C. T. (2018). Modeling of extreme risk in river water quality under climate change. Journal of Water and Climate Change. MS. No: JWC-D-17-00024.
Rehana, S., & Mujumdar, P. P. (2011). River water quality response under hypothetical climate change scenarios in Tungabhadra river, India. Hydrological Processes, 25(22), 3373–3386.
Rehana, S., & Mujumdar, P. P. (2012). Climate change induced risk in water quality control problems. Journal of Hydrology, 444–445, 63–77.
Stone, M. C., Hotchkiss, R. H., Hubbard, C. M., Fontaine, T. A., Mearns, L. O., & Arnold, J. G. (2001). Impacts of climate change on Missouri River basin water yield. Journal of the American Water Resource Association, 37(5), 1119–1129.
Toffolon, M., & Piccolroaz, S. (2015a). A hybrid model for river water temperature as a function of air temperature and discharge. Environmental Research Letters, 10, 14011.
Toffolon, M., & Piccolroaz, S. (2015b). A hybrid model for river water temperature as a function of air temperature and discharge. Environmental Research Letters, 10, 114011.
van Vliet, M. T. H., Ludwig, F., Zwolsman, J. J. G., Weedon, G. P., & Kabat, P. (2011). Global river temperatures and sensitivity to atmospheric warming and changes in river flow. Water Resources Research, 47, W02544. https://doi.org/10.1029/2010WR009198.
van Vliet, M. T. H., Yearsley, J. R., Franssen, W. H. P., Ludwig, F., Haddeland, I., Lettenmaier, D. P., & Kabat, P. (2012). Coupled daily streamflow and water temperature modelling in large river basins. Hydrology and Earth System Sciences, 16, 4303–4321.
Webb, B. W. (1996). Trends in stream and river temperature. Hydrological Processes, 10(2), 205–226.
Webb, B. W., & Nobilis, F. (2007). Long-term changes in river temperature and the influence of climatic and hydrological factors. Hydrological Sciences Journal, 52(1), 74–85.
Webb, B. W., Clack, P. D., & Walling, D. E. (2003). Water-air temperature relationships in a Devon river system and the role of flow. Hydrological Processes, 17(15), 3069–3084.
Yearsley, J. R. (2009). A semi-Lagrangian water temperature model for advection-dominated river systems. Water Resources Research, 45, W12405. https://doi.org/10.1029/2008WR007629.
Acknowledgements
The research work presented in the manuscript is a part of Water Advanced Research and Innovation (WARI) Fellowship Program supported by the Department of Science and Technology (DST), Government of India, the University of Nebraska-Lincoln (UNL), the Daugherty Water for Food Institute (DWFI) and the Indo-US Science Technology Forum (IUSSTF).
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Rehana, S., Munoz-Arriola, F., Rico, D.A., Bartelt-Hunt, S.L. (2019). Modelling Water Temperature’s Sensitivity to Atmospheric Warming and River Flow. In: Sobti, R., Arora, N., Kothari, R. (eds) Environmental Biotechnology: For Sustainable Future. Springer, Singapore. https://doi.org/10.1007/978-981-10-7284-0_12
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