基于物理栖息地模型的梯级水库优化调度研究
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摘要
为实现梯级水库生态调度,利用物理栖息地模型给出水生生物良好生存所需的生态流量,并构建了梯级水库中长期优化调度模型。模型借助POA算法进行优化求解。将生态调度结果与常规调度结果进行对比分析,发现基于生态流量调度的梯级水库运行模式利于保护流域内典型特有生物。选取西南地区某流域为典型进行生态调度计算,结果表明:实施生态调度后适于鱼类A、B生存的栖息地面积有较大增加,实现梯级水库的社会效益最大化。
In order to realize the eco-scheduling of cascade reservoirs,this paper uses the physical habitat model to determine the eco-flow needed for the good survival of aquatic organisms. Besides,the paper also builds a long-term optimal scheduling model used for cascade reservoirs. The POA algorithm is the calculation basis of the scheduling model. By comparing the result of eco-scheduling with that of conventional scheduling,we find that the operation mode of cascade reservoir based on eco-flow scheduling is useful to protect typical organisms in the watershed. The paper selects a watershed in Southwest China as a typical area for eco-scheduling study. The results show that the habitat area suitable for the survival of fish A & B has greatly increased since the implementation of eco-scheduling strategy. Eco-scheduling can maximize the social benefits of cascade reservoirs.
In order to realize the eco-scheduling of cascade reservoirs,this paper uses the physical habitat model to determine the eco-flow needed for the good survival of aquatic organisms. Besides,the paper also builds a long-term optimal scheduling model used for cascade reservoirs. The POA algorithm is the calculation basis of the scheduling model. By comparing the result of eco-scheduling with that of conventional scheduling,we find that the operation mode of cascade reservoir based on eco-flow scheduling is useful to protect typical organisms in the watershed. The paper selects a watershed in Southwest China as a typical area for eco-scheduling study. The results show that the habitat area suitable for the survival of fish A & B has greatly increased since the implementation of eco-scheduling strategy. Eco-scheduling can maximize the social benefits of cascade reservoirs.
引文
[1]乔睿至,陈俊贤.梯级电站生态调度现状与展望[J].人民珠江,2013,(4):5-7.
[2]董哲仁,孙东亚.生态水利工程原理与技术[M].北京:中国水利水电出版社,2007.
[3]董哲仁,孙东亚,赵进勇.水库多目标生态调度[J].水利水电技术,2007,(1):28-32.
[4]Hughes D A,G Ziervogel.The inclusion of operating rules in a daily reservoir simulation model to determine ecological reserve releases for river maintenance[J].Water SA,1998,24(4):293-302.
[5]叶季平,王丽萍.大型水库生态调度模型及算法研究[J].武汉大学学报(工学版),2010,43(1):64-67.
[6]张洪波,钱会,辛琛.基于结构目标的水库生态调度模型与求解[J].中国农村水利水电,2011,(10):55-58.
[7]索丽生.水利工程的“特殊功能”——关于水利工程建设新思路的思考[J].中国水利,2003,(1):25-26.
[8]尹正杰,黄薇,陈进.长江流域梯级水库生态调度管理体制探讨[J].人民长江,2008,39(10):15-17.
[9]张文鸽,黄强,蒋晓辉.基于物理栖息地模拟的河道内生态流量研究[J].水科学进展,2008,19(2):192-197.
[10]蒋红霞,黄晓荣,李文华.基于物理栖息地模拟的减水河段鱼类生态需水量研究[J].水力发电学报,2012,31(5):141-147.
[11]乔睿至,马光文,黄炜斌.基于改进POA算法的综合利用梯级水电站群中长期优化调度研究[J].华东电力,2011,39(4):519-523.
[12]李建,夏自强.基于物理栖息地模拟的长江中游生态流量研究[J].水利学报,2011,42(6):678-683.
[2]董哲仁,孙东亚.生态水利工程原理与技术[M].北京:中国水利水电出版社,2007.
[3]董哲仁,孙东亚,赵进勇.水库多目标生态调度[J].水利水电技术,2007,(1):28-32.
[4]Hughes D A,G Ziervogel.The inclusion of operating rules in a daily reservoir simulation model to determine ecological reserve releases for river maintenance[J].Water SA,1998,24(4):293-302.
[5]叶季平,王丽萍.大型水库生态调度模型及算法研究[J].武汉大学学报(工学版),2010,43(1):64-67.
[6]张洪波,钱会,辛琛.基于结构目标的水库生态调度模型与求解[J].中国农村水利水电,2011,(10):55-58.
[7]索丽生.水利工程的“特殊功能”——关于水利工程建设新思路的思考[J].中国水利,2003,(1):25-26.
[8]尹正杰,黄薇,陈进.长江流域梯级水库生态调度管理体制探讨[J].人民长江,2008,39(10):15-17.
[9]张文鸽,黄强,蒋晓辉.基于物理栖息地模拟的河道内生态流量研究[J].水科学进展,2008,19(2):192-197.
[10]蒋红霞,黄晓荣,李文华.基于物理栖息地模拟的减水河段鱼类生态需水量研究[J].水力发电学报,2012,31(5):141-147.
[11]乔睿至,马光文,黄炜斌.基于改进POA算法的综合利用梯级水电站群中长期优化调度研究[J].华东电力,2011,39(4):519-523.
[12]李建,夏自强.基于物理栖息地模拟的长江中游生态流量研究[J].水利学报,2011,42(6):678-683.