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A modelling framework to project future climate change impacts on streamflow variability and extremes in the West River, China

机译:预测未来气候变化对中国西江水流变化和极端影响的建模框架

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摘要

In this study, a hydrological modelling framework was introduced to assess the climate change impacts on future river flow in the West River basin, China, especially on streamflow variability and extremes. The modelling framework includes a delta-change method with the quantile-mapping technique to construct future climate forcings on the basis of observed meteorological data and the downscaled climate model outputs. This method is able to retain the signals of extreme weather events, as projected by climate models, in the constructed future forcing scenarios. Fed with the historical and future forcing data, a large-scale hydrologic model (the Variable Infiltration Capacity model, VIC) was executed for streamflow simulations and projections at daily time scales. A bootstrapping resample approach was used as an indirect alternative to test the equality of means, standard deviations and the coefficients of variation for the baseline and future streamflow time series, and to assess the future changes in flood return levels. The West River basin case study confirms that the introduced modelling framework is an efficient effective tool to quantify streamflow variability and extremes in response to future climate change.
机译:在这项研究中,引入了水文模型框架来评估气候变化对中国西部流域未来河流流量的影响,尤其是对流量变化和极端情况的影响。该建模框架包括采用分位数映射技术的增量变化方法,以基于观测到的气象数据和缩减的气候模型输出来构建未来的气候强迫。这种方法能够在构造的未来强迫场景中保留气候模型所预测的极端天气事件的信号。在历史和未来强迫数据的支持下,执行了大型水文模型(可变入渗能力模型,VIC),用于日时尺度的水流模拟和预测。自举重采样方法被用作间接替代方法,以测试均值,标准差和基线和未来水流时间序列的变化系数的均等性,并评估洪水收益水平的未来变化。西江流域的案例研究证实,引入的建模框架是量化流量变化和极端变化以响应未来气候变化的有效有效工具。

著录项

  • 来源
  • 会议地点 Bologna(IT)
  • 作者单位

    State Key Laboratory of Hydrology- Water Resources and Hydraulic Engineering, College of Hydrology and Water, Resources, Hohai University, 1 Xikang Road, Nanjing, China,Department, of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China;

    Department, of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China;

    State Key Laboratory of Hydrology- Water Resources and Hydraulic Engineering, College of Hydrology and Water, Resources, Hohai University, 1 Xikang Road, Nanjing, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    climate change; streamflow; variability; flood; delta-change method; bootstrapping;

    机译:气候变化;水流;变化性;洪水;增量变化法自举;

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