Dynamic attribution of global water demand to surface water and groundwater resources: Effects of abstractions and return flows on river discharges |
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| Affiliation: | 1. Department of Physical Geography, Utrecht University, Utrecht, The Netherlands;2. Unit Soil and Groundwater Systems, Deltares, Utrecht, The Netherlands;1. School of Urban and Civil Engineering, Hongik University, Seoul 121-791, South Korea;2. Department of Civil, Architectural, and Environmental Engineering, University of Padua, I-35100 Padua, Italy;3. Soil and Water Science Department, University of Florida, Gainesville, FL 32611, USA;4. School of Civil Engineering, Purdue University, West Lafayette, IN 47907-2051, USA;5. Agronomy Department, Purdue University, West Lafayette, IN 47907-2054, USA;1. Department for Applied Mechanics and Automatic Control, Faculty of Engineering, University of Kragujevac, Sestre Janjić 6, 34000 Kragujevac, Serbia;2. Institute for Development of Water Resources “Jaroslav Černi”, 80 Jaroslava Černog St., 11226 Beli Potok, Belgrade, Serbia;1. IIHR-Hydroscience & Engineering, The University of Iowa, Iowa City, IA, 52242, USA;2. School of Urban and Regional Planning, Public Policy Center and Department of Economics, The University of Iowa, Iowa City, IA, 52242, USA;1. Korea Water Resources Corporation, Daejeon, Korea;2. School of Mechanical Engineering, Chungbuk National University, Cheongju, Korea;3. School of Mechanical Engineering, Korea Polytechnic University, Gyonggi, Korea;1. College of Petroleum Engineering, China University of Petroleum, Beijing 102249, China;2. State Key Laboratory of Petroleum Resources and Prospecting, Beijing 102249, China |
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| Abstract: | As human water demand is increasing worldwide, pressure on available water resources grows and their sustainable exploitation is at risk. To mimic changes in exploitation intensity and the connecting feedbacks between surface water and groundwater systems, a dynamic attribution of demand to water resources is necessary. However, current global-scale hydrological models lack the ability to do so. This study explores the dynamic attribution of water demand to simulated water availability. It accounts for essential feedbacks, such as return flows of unconsumed water and riverbed infiltration. Results show that abstractions and feedbacks strongly affect water allocation over time, particularly in irrigated areas. Also residence time of water is affected, as shown by changes in low flow magnitude, frequency, and timing. The dynamic representation of abstractions and feedbacks makes the model a suitable tool for assessing spatial and temporal impacts of changing global water demand on hydrology and water resources. |
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| Keywords: | Water abstractions Groundwater Surface water Return flows Global hydrological model River low flows |
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