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黄河置换水量分配的投影寻踪模型研究 被引量:1

Study on Projecting and Tracing Model of Replacement Water Allocation of the Yellow River
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摘要 水量的分配需要综合考虑各地区社会、经济、环境等方面的因素,是一个典型的多目标、多地区决策问题。投影寻踪模型通过加速遗传算法来寻求最优投影方向,将多维数据指标转换到低维子空间上,可以根据优化出的一维投影值来计算各地区的水量分配额,避免了权重确定的主观性问题。用该方法对南水北调中、东线工程置换的黄河引水量进行了分配,结果为:青海、四川、甘肃、宁夏、内蒙古、山西、陕西、河南可分配的水量分别为:3.30亿、0.34亿、3.92亿、2.59亿、3.92亿、6.11亿、6.31亿、3.92亿m3。 It should comprehensively consider the social,economic and environmental factors of each region when conducts water allocation for it's a typical policy-making issue of multi-purpose and multi-region.The projecting and tracing model seeks the optimized projecting orientation through accelerated genetic algorithm,changes the multi-dimensional data to low-dimensional subspace and can calculate the volume of water allocation of each region based on the optimized one-dimensional projection value,avoiding the subjectivity of weight determination.It allocates the diversion of the Yellow River replaced by the water from the Middle and East Routes of South North Water Transfer Project by using the method.The outcomes show that the distributable volume of Qinghai,Sichuan,Gansu,Ningxia,Inner Mongolia,Shanxi,Shaanxi and Henan is 330 million m3,34 million m3,392 million m3,259 million m3,392 million m3,611 million m3,631 million m3 and 392 million m3 respectively.
出处 《人民黄河》 CAS 北大核心 2008年第4期57-59,共3页 Yellow River
基金 河南省基础与前沿技术研究计划项目(082500410230) 华北水利水电学院青年科研基金资助项目(HSQJ2008027)
关键词 南水北调 投影寻踪模型 置换水量 遗传算法 黄河 projecting and tracing model replacement water genetic algorithm the Yellow River
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