TY - GEN
T1 - Optimal reservoir operation considering downstream water quality and environmental flow needs
AU - Suen, Jian-Ping
AU - Wang, Ruei Hong
PY - 2010/8/2
Y1 - 2010/8/2
N2 - This study develops an optimal reservoir management model based on each ten-day operation periods for Shihmen Reservoir. The model tries to not only meet the human water requirement, but also to consider water quality and ecological issues. In Taiwan, lots of infrastructures have been built in almost every river to effectively use water resources and provide disaster defense. It results in downstream flow regulation or violent flow fluctuation that causes impacts on aquatic ecosystem biodiversity. Decision makers should take flow variability into account in water resources management policy. Human demands, water quality, and ecological issues are considered in the optimal reservoir management model. Human demands objective is based on water rights of different users and M-5 Rule Curve of Shihmen Reservoir. Ecological objective is based on consideration of Environmental flow components (Richter et al. 2007). Water quality model uses an artificial neural network model to simulate downstream water quality by using streamflow, rainfall, upstream water quality, and measure time as inputs. Then this model is combined with human demands and environmental flow components considerations to establish an optimal reservoir management model by using genetic algorithm. The optimal reservoir operation model considers human demands, water quality and flow regime to benefit to both human society and aquatic ecosystems.
AB - This study develops an optimal reservoir management model based on each ten-day operation periods for Shihmen Reservoir. The model tries to not only meet the human water requirement, but also to consider water quality and ecological issues. In Taiwan, lots of infrastructures have been built in almost every river to effectively use water resources and provide disaster defense. It results in downstream flow regulation or violent flow fluctuation that causes impacts on aquatic ecosystem biodiversity. Decision makers should take flow variability into account in water resources management policy. Human demands, water quality, and ecological issues are considered in the optimal reservoir management model. Human demands objective is based on water rights of different users and M-5 Rule Curve of Shihmen Reservoir. Ecological objective is based on consideration of Environmental flow components (Richter et al. 2007). Water quality model uses an artificial neural network model to simulate downstream water quality by using streamflow, rainfall, upstream water quality, and measure time as inputs. Then this model is combined with human demands and environmental flow components considerations to establish an optimal reservoir management model by using genetic algorithm. The optimal reservoir operation model considers human demands, water quality and flow regime to benefit to both human society and aquatic ecosystems.
UR - http://www.scopus.com/inward/record.url?scp=77954968248&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77954968248&partnerID=8YFLogxK
U2 - 10.1061/41114(371)267
DO - 10.1061/41114(371)267
M3 - Conference contribution
AN - SCOPUS:77954968248
SN - 9780784411148
T3 - World Environmental and Water Resources Congress 2010: Challenges of Change - Proceedings of the World Environmental and Water Resources Congress 2010
SP - 2592
EP - 2601
BT - World Environmental and Water Resources Congress 2010
T2 - World Environmental and Water Resources Congress 2010: Challenges of Change
Y2 - 16 May 2010 through 20 May 2010
ER -