Abstract
Water of sufficient quantity and quality is indispensable for domestic and industrial use, irrigated agriculture, hydropower generation and ecosystem functioning. River systems are a major source of water to meet these demands. Excess surface water resulting into floods is harmful though for properties and infrastructures and may put human lives at risk. Since surface water availability is variable in space (eg related to latitude and orography) and time (seasonal) it often does not meet the spatio-temporal use requirements. To overcome this discrepancy reservoirs have been or are planned to be constructed on many large and smaller river systems throughout the globe. Management of these reservoirs with a view to allocate the available water fairly and to prevent floods requires time series data on inflow, demands and losses. In this contribution, this water allocation problem is considered as a …
| Original language | Spanish |
|---|---|
| State | Published - 1 Jan 2017 |
| Event | National Symposium on Applied Biological Sciences - BELGICA, Lovaina Duration: 2 Jul 2017 → 2 Jul 2017 http://apibuscador.ucuenca.edu.ec/api/documentos/download/af2069b9-7c0e-415a-a6c6-13fb2e9d57f4;1.0 |
Conference
| Conference | National Symposium on Applied Biological Sciences |
|---|---|
| City | Lovaina |
| Period | 2/07/17 → 2/07/17 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation
Keywords
- Nfo-lp
- Water allocation
- Optimisation
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