>Quantifying the impact of climate change and human activities on hydrological processes is of great importance for regional water-resource manage'/> Modeling streamflow and sediment responses to climate change and human activities in the Yanhe River, China
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Modeling streamflow and sediment responses to climate change and human activities in the Yanhe River, China

机译:模拟中国延河的水流和泥沙对气候变化和人类活动的响应

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摘要

>Quantifying the impact of climate change and human activities on hydrological processes is of great importance for regional water-resource management. In this study, trend analysis and analysis of the short-term variations in annual streamflow and sediment load in the Yanhe River Basin (YRB) during the period 1972–2011 were conducted using linear regression and the Pettitt test. The Soil and Water Assessment Tool (SWAT) was employed to simulate the hydrological processes. The results show that both annual mean streamflow and annual mean sediment load in the YRB significantly decreased (P< 0.05) during the study period. The relative contributions from climate change and human activities to YRB streamflow decline between 1996 and 2011 were estimated to be 55.8 and 44.2%, respectively. In contrast to the results for streamflow, the dominant cause of YRB sediment-load decline was human activity (which explained 64% of the decrease), rather than climate change. The study also demonstrates that topographical characteristics (watershed subdivision threshold value, digital elevation model spatial resolution) can cause uncertainties in the simulated streamflow and sediment load. The results presented in this paper will increase understanding of the mechanisms of soil loss and will enable more efficient management of water resources in the YRB.
机译: >量化气候变化和人类活动对水文过程的影响对于区域水资源管理至关重要。在这项研究中,使用线性回归和Pettitt检验进行了趋势分析和1972-2011年期间延河流域(YRB)年流量和泥沙负荷的短期变化分析。土壤和水评估工具(SWAT)被用来模拟水文过程。结果表明,在研究期间,黄河三角洲的年平均流量和年平均泥沙量均显着下降( P <0.05)。据估计,1996年至2011年间,气候变化和人类活动对YRB流量下降的相对贡献分别为55.8%和44.2%。与流量结果相反,YRB泥沙量减少的主要原因是人类活动(这解释了减少量的64%),而不是气候变化。研究还表明,地形特征(流域细分阈值,数字高程模型的空间分辨率)会导致模拟的水流和泥沙负荷的不确定性。本文提出的结果将使人们更加了解土壤流失的机理,并使黄河三角洲的水资源管理更加有效。

著录项

  • 来源
    《Nordic hydrology》 |2018年第2期|150-162|共13页
  • 作者单位

    State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China and Joint Center for Global Change Studies, Beijing 100875, China;

    State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China and Joint Center for Global Change Studies, Beijing 100875, China;

    Department of Civil and Environmental Engineering, University of California, Irvine, CA 92697, USA;

    State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China and Joint Center for Global Change Studies, Beijing 100875, China;

    State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100048, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    climate change; human activities; sediment load; streamflow; SWAT; Yanhe River;

    机译:气候变化;人类活动;泥沙负荷;流量;SWAT;沿河;

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