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基于ET的水资源与水环境综合规划研究(Ⅱ)- 模型
引用本文:桑学锋.基于ET的水资源与水环境综合规划研究(Ⅱ)- 模型[J].水利学报,2008,39(Z2).
作者姓名:桑学锋
作者单位:中国水科院水资源所
基金项目:国家重点基础研究发展计划(973计划),创新研究群体科学基金,世界银行全球环境基金(GEF)资助项目
摘    要:本文根据基于ET的区域水资源综合规划的理念、研究框架、目标及调控体系,构建了基于ET的区域水资源与水环境综合模拟模型(WQQCM),该模型由分布式水文SWAT模型、人工水平衡AWB模型及分布式地下水MODFLOW模型耦合而成,实现地表水和地下水、天然水循环和人工水循环、水量和水质联合模拟,作为区域水资源与水环境综合规划的工具。本文以天津市为例对模型从地表水径流、地表水水质、地下水以及模型模拟ET结果等方面进行了校验,校验结果表明模型可支撑不同节水、水资源配置、点源和非点源水污染控制、水生态修复规划方案的情景模拟,为区域水资源与水环境规划提供数据支撑。

关 键 词:ET  模拟模型  二元水循环  规划
收稿时间:2008/12/21 0:00:00
修稿时间:3/16/2009 3:03:55 PM

Integrated Water Resource and Environment Planning Based on ET Control - Model
sang xue feng.Integrated Water Resource and Environment Planning Based on ET Control - Model[J].Journal of Hydraulic Engineering,2008,39(Z2).
Authors:sang xue feng
Abstract:The aims of regional water resource integrated planning based ET theory are realizing the highly utilization of water resource in society, economic, ecology and environment recurring to descend the lower or inefficacy consumptive water and pollution drainage. The results and effects is needed quantized. We constructed and developed a synthesis model, called WQQCM made up of SWAT, MODFLOW and AWB model, which can synchronously simulate the surface and ground water, nature-human water cycle, quantity and quality of water. The SWAT model can simulate surface water and pollution, and MODFLOW can simulate groundwater, AWB model is the core of WQQCM in human activities regions because it simulates the water cycle in society and can drive the SWAT and MODFLOW as same as the weather factors. The WQQCM model was applied to Tianjin City, China, and calibrated and validated by the runoff, NH3-N concentration of rivers, groundwater table and regional ET. The result of calibrated and validated periods adequately describes the WQQCM model developed in this paper can be used to simulate various seniors such as saving water consumptive, pollution control, water zoology rehabilitate and so on, and support regional water resource and water environment integrated planning.
Keywords:ET  Smulating Model  Nature-human Cycle  Planning
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