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塔里木河生态水流情势分析及其适应性利用 被引量:7

Analysis of ecological water regime in Tarim River and its adaptive utilization
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摘要 综合分析了外界干扰下的塔里木河流域生态水流情势,采用组合回归模型建立了适应生态变化的水流利用关系,修正了水文-生态响应关系和生态水流估算结果,进一步讨论了适应生态过程的水流情势利用策略。结果表明:自20世纪60年代以来,塔里木河源流与干流水流情势变化不一致,源流来水保证率递减,源流区间耗水量呈增加趋势。相比ARMA(auto-regressive and moving average)模型,基于不同利用方式的生态水流组合回归模型模拟效果较好,可作为参考性预报;结合生态水流预测方程,制定了适应生态的水量调度对策。 Based on the comprehensive analysis of the ecological water regime in the Tarim River Basin under external disturbance,a combined regression model was used to establish the flow utilization relationship adapted to the ecological changes.The hydrological-ecological response relationship and the results of ecological flow estimation were revised and the utilization strategy of water regime to adapt to the ecological process was discussed.The results show that since the 1960s,the flow regime of the Tarim River source and main stream has changed inconsistently,the guaranteed rate of the source incoming water is decreasing,and the water consumption in the source region is increasing.Compared with ARMA(auto-regressive and moving average)model,the combined regression model of ecological flow based on different utilization modes has better simulation effect and can be used as a reference forecast.Combined with the prediction equation of ecological flow,the water dispatching strategy suitable for ecology is worked out.
作者 杨帆 薛联青 张洛晨 杨昌兵 魏光辉 陈新芳 YANG Fan;XUE Lianqing;ZHANG Luochen;YANG Changbin;WEI Guanghui;CHEN Xinfang(College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China;Department of Geological Sciences,University of Texas at Austin,Austin TX78705,USA;Wentian College,Hohai University,Maanshan 243000,China;Tarim River Basin Administration of Xinjiang,Korla 841000,China)
出处 《水资源保护》 CAS CSCD 北大核心 2018年第5期41-49,共9页 Water Resources Protection
基金 国家自然科学基金(41371052) 水利部公益性行业专项(201501059) 国家重点研发计划(2017YFC0404304) 江苏省水利科技项目(2017027) 江苏省高校优秀中青年教师和校长境外研修项目(苏教师[2015]35号)
关键词 生态水流情势 适应性利用 组合回归模型 水资源调度 塔里木河 ecological water regime adaptive utilization combined regression model water resources regulation Tarim River
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