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Combined forecasting model of urban water demand under changing environment

机译:环境变化下城市需水量的组合预测模型

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The influence of climate change on water consumption under changing economic background has always been kept a important issue by global research institute. Taking Dongguan city as a study object, the influence factors of water requirement are divided into climate factor economic factor and social factor. Water demand forecasting models are established on different influence factors to analyze the response relationship between various influence factors and water demand. Optimum influence factors are chosen on this basis, and water demand forecasting models are established through applying various methods. Least squares (LS) combination forecasting technology is adopted to integrate the results of different forecasting models. The situation and reasons of water demand changes of Dongguan city are proclaimed, the variation tendency of water demand is revealed, and a theoretical foundation for Dongguan City water resources management is provided.
机译:在不断变化的经济背景下,气候变化对耗水量的影响一直是全球研究所关注的重要问题。以东莞市为研究对象,将需水量的影响因素分为气候因素,经济因素和社会因素。建立了不同影响因子的需水量预测模型,以分析各种影响因子与需水量之间的响应关系。在此基础上选择最佳的影响因素,并通过应用各种方法建立了需水量预测模型。采用最小二乘(LS)组合预测技术对不同预测模型的结果进行综合。阐述了东莞市需水量变化的情况和原因,揭示了需水量的变化趋势,为东莞市水资源管理提供了理论基础。

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