Reprint

Impact of Climate-Change on Water Resources

Edited by
January 2021
142 pages
  • ISBN978-3-0365-0110-9 (Hardback)
  • ISBN978-3-0365-0111-6 (PDF)

This is a Reprint of the Special Issue Impact of Climate-Change on Water Resources that was published in

Environmental & Earth Sciences
Summary
- Water resources management should be assessed under climate change conditions, as historic data cannot replicate future climatic conditions. - Climate change impacts on water resources are bound to affect all water uses, i.e., irrigated agriculture, domestic and industrial water supply, hydropower generation, and environmental flow (of streams and rivers) and water level (of lakes). - Bottom-up approaches, i.e., the forcing of hydrologic simulation models with climate change models’ outputs, are the most common engineering practices and considered as climate-resilient water management approaches. - Hydrologic simulations forced by climate change scenarios derived from regional climate models (RCMs) can provide accurate assessments of the future water regime at basin scales. - Irrigated agriculture requires special attention as it is the principal water consumer and alterations of both precipitation and temperature patterns will directly affect agriculture yields and incomes. - Integrated water resources management (IWRM) requires multidisciplinary and interdisciplinary approaches, with climate change to be an emerging cornerstone in the IWRM concept.
Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
Precipitation; Tropical Rainfall Measurement Mission (TRMM); Multi-Satellite Precipitation Analysis (TMPA); Upper Indus Basin (UIB); Himalaya; streamflow; extreme rainfall; watershed; dynamics of saline lakes; extremely changing points; extreme weather; temporal trend; climate change; salinization; water resources management; drinking water; debris; water balance; climatic change; dam capacity; simulation of sediment transport; Athabasca River; climate projection; hydrologic modelling; peak-flow; return period; stationary analysis; non-stationary analysis; global; climate change; temperature; precipitation; Net Irrigation Water Requirement; maize; hydrologic modeling; reanalysis gridded datasets; ERA-Interim; Balkan Peninsula

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