Your search found 3 records
1 Bloschl, G.; Sivapalan, M.; Wagener, T.; Viglione, A.; Savenije, H. (Eds.) 2013. Runoff prediction in ungauged basins: synthesis across processes, places and scales. New York, NY, USA: Cambridge University Press. 462p.
River basins ; Runoff ; Data ; Frameworks ; Hydrology ; Forecasting ; Assessment ; Catchment areas ; Water storage ; Water levels ; Water balance ; Flow discharge ; Water power ; Precipitation ; Evaporation ; Soil moisture ; Remote sensing ; Land cover ; Land use ; Geology ; Environmental flows ; Rain ; Floods ; Reservoirs ; Case studies ; Models / South East Asia / India / China / Russia / Canada / South Africa / Lesotho / USA / Italy / Austria / Chile / France / Zambia / Ghana / Zimbabwe / Australia / Sweden / Krishna Basin / Huangshui River Basin / Siberian Catchment / Andean Catchment / Luangwa Basin / Mekong River Basin
(Location: IWMI HQ Call no: 551.488 G000 BLO Record No: H046226)
(0.54 MB)
2 Bloschl, G.; Franks, S.; Kumagai, M.; Musiake, K.; Rosbjerg, D. (Eds.) 2003. Water resources systems: hydrological risk, management and development. Proceedings of an International Symposium (HS02b) held during the 23rd General Assembly of the International Union of Geodesy and Geophysics (IUGG 2003), Sapporo, Japan, 30 June-11 July 2003. Wallingford, UK: International Association of Hydrological Sciences (IAHS). 366p. (IAHS Publication 281)
Water resources ; Hydrology ; Climate change ; Flood control ; Drought ; Precipitation ; Runoff ; Weather forecasting ; Risk assessment ; Decision support systems ; Ecosystems ; Environmental effects ; Reservoir operation ; Water allocation ; Water supply ; Water policy ; Water management ; Water conservation ; Soil conservation ; Models ; Irrigation ; Water availability ; Water use ; Groundwater ; Water storage ; Flow discharge ; Rivers ; Catchment areas ; Sustainability ; Economic aspects ; Population growth ; Satellite observation ; Infiltration ; Case studies / Central Europe / Ukraine / Israel / Ethiopia / Pakistan / China / Vietnam / Taiwan / Romania / Thailand / India / Indonesia / Palestine / Nigeria / Slovenia / Northeast India / Tisza River / Blue Nile River / Yangtze River / Red River Basin / Chao Phraya River / Lake Rawa Dano / West Java / Gurara River / Kaduna River / Shiroro Dam / Benin-Owena River Basin / St. Petersburg / Dragonja Catchment
(Location: IWMI HQ Call no: 333.91 G000 BLO Record No: H046619)
(0.42 MB)
3 Carr, G.; Barendrecht, M. H.; Debevec, Liza; Kuil, L.; Bloschl, G.. 2020. People and water: understanding integrated systems needs integrated approaches. Journal of Water Supply: Research and Technology-AQUA, 69(8):819-832. [doi: https://doi.org/10.2166/aqua.2020.055]
Water management ; Water systems ; Integrated management ; Water resources ; Interdisciplinary research ; Modelling ; Water reuse ; Water quality ; Flooding ; Risk management ; Collaboration ; Awareness raising ; Decision making ; Social aspects ; Hydrology ; Case studies / Jordan / Burkina Faso / Germany / Dresden
(Location: IWMI HQ Call no: e-copy only Record No: H050217)
https://iwaponline.com/aqua/article-pdf/69/8/819/824031/jws0690819.pdf
https://vlibrary.iwmi.org/pdf/H050217.pdf
https://vlibrary.iwmi.org/pdf/H050217.pdf
(0.57 MB) (588 KB)
As we rapidly modify the environment around us, researchers have a critical role to play in raising our understanding of the interactions between people and the world in which they live. Knowledge and understanding of these interactions are essential for evidence based decision-making on resource use and risk management. In this paper, we explore three research case studies that illustrate co-evolution between people and water systems. In each case study, we highlight how different knowledge and understanding, stemming from different disciplines, can be integrated by complementing narratives with a quantitative modelling approach. We identify several important research practices that must be taken into account when modelling people-water systems: transparency, grounding the model in sound theory, supporting it with the most robust data possible, communicating uncertainty, recognising that there is no ‘one true model’ and diversity in the modelling team. To support interdisciplinary research endeavours, we propose a three-point plan: (1) demonstrating and emphasising that interdisciplinary collaboration can both address existing research questions and identify new, previously unknown questions at the interface between the disciplines; (2) supporting individual interdisciplinary learning at all career stages and (3) developing group practices and a culture of interdisciplinary collaboration.
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