TY - GEN
T1 - Integrating ecological flow regimes in water resources management using multiobjective analysis
AU - Suen, Jian Ping
AU - Eheart, J. Wayland
AU - Herricks, Edwin E.
PY - 2005
Y1 - 2005
N2 - Water resources management has shifted from flow regulation applications designed to protect public health to applications that include restoration of natural flow regimes and protection of aquatic ecosystems. The ecological flow regime uses a regime-based approach that considers hydrologic variability instead of focusing on identifying flows or flow targets for aquatic ecosystems. It determines environmental flow by embracing the multitude of species within an ecosystem rather than emphasizing a single species. In addition, the ecological flow regime recognizes that flow magnitude, duration, frequency, timing, and predictability must be incorporated into any flow management strategy. This paper provides a multi-objective approach to integrating ecosystem and human needs in water resources management. The ecological flow regime analysis provides a surrogate for ecosystem needs in analyzing the trade-offs with human water usage. The non-dominated sorting genetic algorithm (NSGA II) is used to find the Pareto set of operating rules for evaluation of reservoir operation for the Dahan River basin in Taiwan. It provides decision makers with the trade-offs between shortages in water available for human needs and ecological flow regime maintenance. Copyright ASCE 2005.
AB - Water resources management has shifted from flow regulation applications designed to protect public health to applications that include restoration of natural flow regimes and protection of aquatic ecosystems. The ecological flow regime uses a regime-based approach that considers hydrologic variability instead of focusing on identifying flows or flow targets for aquatic ecosystems. It determines environmental flow by embracing the multitude of species within an ecosystem rather than emphasizing a single species. In addition, the ecological flow regime recognizes that flow magnitude, duration, frequency, timing, and predictability must be incorporated into any flow management strategy. This paper provides a multi-objective approach to integrating ecosystem and human needs in water resources management. The ecological flow regime analysis provides a surrogate for ecosystem needs in analyzing the trade-offs with human water usage. The non-dominated sorting genetic algorithm (NSGA II) is used to find the Pareto set of operating rules for evaluation of reservoir operation for the Dahan River basin in Taiwan. It provides decision makers with the trade-offs between shortages in water available for human needs and ecological flow regime maintenance. Copyright ASCE 2005.
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U2 - 10.1061/40792(173)344
DO - 10.1061/40792(173)344
M3 - Conference contribution
AN - SCOPUS:37249050331
SN - 0784407924
SN - 9780784407929
T3 - World Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress
SP - 344
BT - World Water Congress 2005
T2 - 2005 World Water and Environmental Resources Congress
Y2 - 15 May 2005 through 19 May 2005
ER -