Hydroeconomic optimization of reservoir management under downstream water quality constraints
| Autor: | Peter E. Holm, Peter Bauer-Gottwein, Claus Davidsen, Stefan Trapp, Dan Rosbjerg, Xingguo Mo, Suxia Liu |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Optimization
Water resources Runoff Stochastic dynamic programming (SDP) Water conservation Wastewater treatment Water quality management Dynamic programming Dissolved oxygen concentrations Water scarcity Dissolved oxygen Linear programming Hydro-economic optimizations Quality management Biochemical oxygen demands (BOD) Groundwater Reservoir management Hydroeconomic modeling Water Science and Technology Hydrology Stochastic systems River basins Biochemical oxygen demand Surface waters Environmental engineering Integrated water resources management Integrated Water Resources Management Genetic algorithms Optimization modeling Costs Water management River basin Stochastic models Water quality Total maximum daily load Water pollution Integrated water resources management (IWRM) Water value Stochastic dynamic programming Environmental science Reservoirs (water) Watersheds Conjunctive use Surface runoff SDG 6 - Clean Water and Sanitation |
| Zdroj: | Davidsen, C, Liu, S, Mo, X, Holm, P E, Trapp, S, Rosbjerg, D & Bauer-Gottwein, P 2015, ' Hydroeconomic optimization of reservoir management under downstream water quality constraints ', Journal of Hydrology, vol. 529, pp. 1679-1689 . https://doi.org/10.1016/j.jhydrol.2015.08.018 |
| Popis: | Summary A hydroeconomic optimization approach is used to guide water management in a Chinese river basin with the objectives of meeting water quantity and water quality constraints, in line with the China 2011 No. 1 Policy Document and 2015 Ten-point Water Plan. The proposed modeling framework couples water quantity and water quality management and minimizes the total costs over a planning period assuming stochastic future runoff. The outcome includes cost-optimal reservoir releases, groundwater pumping, water allocation, wastewater treatments and water curtailments. The optimization model uses a variant of stochastic dynamic programming known as the water value method. Nonlinearity arising from the water quality constraints is handled with an effective hybrid method combining genetic algorithms and linear programming. Untreated pollutant loads are represented by biochemical oxygen demand (BOD), and the resulting minimum dissolved oxygen (DO) concentration is computed with the Streeter–Phelps equation and constrained to match Chinese water quality targets. The baseline water scarcity and operational costs are estimated to 15.6 billion CNY/year. Compliance to water quality grade III causes a relatively low increase to 16.4 billion CNY/year. Dilution plays an important role and increases the share of surface water allocations to users situated furthest downstream in the system. The modeling framework generates decision rules that result in the economically efficient strategy for complying with both water quantity and water quality constraints. |
| Databáze: | OpenAIRE |
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