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首页> 外文期刊>Environmental Monitoring and Assessment >Simulation of soil loss processes based on rainfall runoff and the time factor of governance in the Jialing River Watershed, China
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Simulation of soil loss processes based on rainfall runoff and the time factor of governance in the Jialing River Watershed, China

机译:基于降雨径流和治理时间因子的嘉陵江流域水土流失模拟

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摘要

Jialing River is the largest tributary in the catchment area of Three Gorges Reservoir, and it is also one of the important areas of sediment yield in the upper reaches of the Yangtze River. In recent years, significant changes of water and sediment characteristics have taken place. The 'Long Control' Project implemented since 1989 had greatly changed the surface appearance of the Jialing River Watershed (JRW), and it had made the environments of the watershed sediment yield and sediment transport change significantly. In this research, the Revised Universal Soil Loss Equation was selected and used to predict the annual average amount of soil erosion for the special water and sediment environments in the JRW after the implementation of the 'Long Control' Project, and then the rainfall-runoff modulus and the time factor of governance were both considered as dynamic factors, the dynamic sediment transport model was built for soil erosion monitoring and forecasting based on the average sediment yield model. According to the dynamic model, the spatial and temporal distribution of soil erosion amount and sediment transport amount of the JRW from 1990 to 2007 was simulated using geographic information system (GIS) technology and space-grid algorithm. Simulation results showed that the average relative error of sediment transport was less than 10% except for the extreme hydrological year. The relationship between water and sediment from 1990 to 2007 showed that sediment interception effects of the soil and water conservation projects were obvious: the annual average sediment discharge reduced from 145.3 to 35 million tons, the decrement of sediment amount was about 111 million tons, and decreasing amplitude was 76%; the sediment concentration was also decreased from 2.01 to 0.578 kg/m3. These data are of great significance for the prediction and estimation of the future changing trends of sediment storage in the Three Gorges Reservoir and the particulate non-point source pollution load carried by sediment transport from watershed surface.
机译:嘉陵江是三峡水库集水区最大的支流,也是长江上游重要的产沙区之一。近年来,水和沉积物特征发生了重大变化。自1989年以来实施的“长期控制”项目极大地改变了嘉陵江流域(JRW)的表面外观,使流域的沉积物产量和沉积物运输环境发生了显着变化。在这项研究中,选择了经修订的通用土壤流失方程,并用于预测“长期控制”项目实施后JRW特殊水和沉积物环境的年平均土壤侵蚀量,然后是降雨径流模量和治理的时间因素都被视为动态因素,在平均产沙量模型的基础上,建立了动态​​输沙模型,用于水土流失监测与预报。根据该动态模型,利用地理信息系统(GIS)技术和空间网格算法,模拟了1990〜2007年JRW水土流失量和输沙量的时空分布。模拟结果表明,除极端水文年份外,输沙量的平均相对误差小于10%。 1990年至2007年的水沙关系表明,水土保持工程的截沙效果明显:年平均排沙量从145.3吨减少到3500万吨,泥沙量减少约1.11亿吨,下降幅度为76%;沉积物浓度也从2.01降至0.578 kg / m3。这些数据对于预测和估计三峡水库沉积物储量的未来变化趋势以及流域表面沉积物输送所携带的颗粒非点源污染负荷具有重要意义。

著录项

  • 来源
    《Environmental Monitoring and Assessment》 |2012年第6期|p.3731-3748|共18页
  • 作者单位

    Key Laboratory of the Three Gorges Reservoir Area Ecological Environment, Ministry of Education, Chongqing University, Chongqing 400045, Peoples' Republic of China College of Urban Construction and Environmental Engineering, Chongqing University, No.174, Sha Zheng Street, Sha Pingba District, Chongqing 400045, Peoples' Republic of China;

    Key Laboratory of the Three Gorges Reservoir Area Ecological Environment, Ministry of Education, Chongqing University, Chongqing 400045, Peoples' Republic of China College of Urban Construction and Environmental Engineering, Chongqing University, No.174, Sha Zheng Street, Sha Pingba District, Chongqing 400045, Peoples' Republic of China;

    School of Management, Shenyang Jianzhu University, Shenyang 110168, Peoples' Republic of China;

    Key Laboratory of the Three Gorges Reservoir Area Ecological Environment, Ministry of Education, Chongqing University, Chongqing 400045, Peoples' Republic of China College of Urban Construction and Environmental Engineering, Chongqing University, No.174, Sha Zheng Street, Sha Pingba District, Chongqing 400045, Peoples' Republic of China;

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

    jialing river watershed; sediment transport; water and sediment characteristic changes; dynamic simulation of temporal and spatial distribution; rainfall runoff modulus; the time factor of governance;

    机译:嘉陵江流域;泥沙输送;水沙特征变化;动态模拟的时空分布;降雨径流模量治理的时间因素;

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