首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Estimating the Responses of Hydrological and Sedimental Processes to Future Climate Change in Watersheds with Different Landscapes in the Yellow River Basin China
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Estimating the Responses of Hydrological and Sedimental Processes to Future Climate Change in Watersheds with Different Landscapes in the Yellow River Basin China

机译:黄河流域不同景观流域水文泥沙过程对未来气候变化的响应估算。

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摘要

This study concerned the sediment issue of the Yellow River basin. The responses of hydrological and sedimental processes to future climate change in two upland watersheds with different dominant landscapes were estimated. Four Representative Concentration Pathway (RCP) scenarios with different radiative forcing levels were considered. The outputs of eleven Global Climate Models (GCMs) were used to represent the future climate status of the 2050s and 2070s, and an ensemble means was achieved to avoid uncertainty. The Long Ashton Research Station Weather Generator (LARS-WG) was employed to downscale the outputs of GCMs for future site-scale daily weather data estimations. The Generalized Watershed Loading Functions (GWLF) model was employed to model the streamflow and sediment yields under various scenarios and periods. The results showed that there would be generally hotter and wetter weather conditions in the future. Increased erosion and sediment yields could be found in the study area, with lesser increments in sediment in woodland than in cultivated field. The peak of sediment would appear in the 2050s, and integrated measures for sediment control should be implemented to reduce erosion and block delivery. The multi-model approach proposed in this study had reliable performance and could be applied in other similar areas with modest data conditions.
机译:该研究涉及黄河流域的泥沙问题。估算了两个具有不同优势景观的山地流域的水文和沉积过程对未来气候变化的响应。考虑了四种具有不同辐射强迫水平的代表性集中路径(RCP)方案。 11个全球气候模型(GCM)的输出用于表示2050年代和2070年代的未来气候状态,并采取了一种整体方法来避免不确定性。 Long Ashton研究站天气生成器(LARS-WG)用于缩减GCM的输出,以用于将来的站点规模日常天气数据估计。使用广义流域负荷函数(GWLF)模型来模拟各种情况和时期下的径流和沉积物产量。结果表明,未来通常会出现更炎热和潮湿的天气情况。研究区的侵蚀和泥沙产量增加,林地的泥沙增加量少于耕地。沉积物的峰值将出现在2050年代,应采取综合措施来控制沉积物,以减少侵蚀和阻止泥沙输送。这项研究中提出的多模型方法具有可靠的性能,并且可以在数据条件中等的其他类似领域中应用。

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