Water supply sensitivity to climate change: An R package for implementing reservoir storage analysis in global and regional impact studies |
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| Affiliation: | 1. SUTD-MIT International Design Centre, Singapore University of Technology and Design, 8 Somapah Road, 487372, Singapore;2. Pillar of Engineering Systems and Design, Singapore University of Technology and Design, 8 Somapah Road, 487372, Singapore;1. Department of Civil and Environmental Engineering, National University of Singapore, Block E1-08-24, No. 1 Engineering Drive 2, Singapore 117578;2. Department of Water Resources and Environmental Modelling, Czech University of Life Sciences Prague, Kamycka 1176, Prague, Czech Republic 16521;1. Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland;2. Institute of Environmental Engineering, ETH Zürich, Zürich, Switzerland;3. Department of Architecture and Civil Engineering, University of Bath, Bath, UK;1. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Piazza L. da Vinci 32, I-20133 Milano, Italy;2. Pillar of Engineering Systems & Design, Singapore University of Technology and Design, 20 Dover Drive, 138682, Singapore;1. Dept. of Civil Engineering, University of Bristol, Bristol, BS8 1TR, UK;2. Dept. of Agronomy, Unidad de Excelencia María de Maeztu (DAUCO), University of Córdoba, Edif. Da Vinci, Ctra. Madrid Km 396, 14017, Córdoba, Spain;3. Wessex Water Service Ltd, Bath, BA2 7WW, UK;4. Cabot Institute for the Environment, University of Bristol, Bristol, BS8 1UJ, UK |
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| Abstract: | Whilst there are numerous global and regional studies of climate impacts on water resources, relatively few authors have incorporated reservoir storage into their earth system models. Consequently, such studies are unlikely to provide coherent estimates of how changes in climate might affect water supplies globally. This short communication describes an R package, named reservoir, which has been designed for rapid and easy routing of runoff data through storage. The package comprises tools for capacity design, release policy optimisation and performance analysis—allowing users to specify realistic reservoirs and then assess performance in terms of meeting water delivery targets. We demonstrate some of the capabilities of reservoir using 271 runoff records from the Global Runoff Data Centre. The package is freely available through the Comprehensive R Archive Network (CRAN). |
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| Keywords: | Reservoir analysis Reservoir design and operation Storage-yield-reliability R package Climate impact assessment Stochastic optimisation |
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