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Development of load duration curve system in data-scarce watersheds based on a distributed hydro logical model

机译:基于分布式水文模型的数据稀缺流域负荷持续时间曲线系统的开发

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摘要

Many developing countries and regions are currently facing serious water environmental problems, especially the lack of monitoring systems for medium-to small-sized watersheds. The load duration curve (LDC) is an effective method to identify polluted waterbodies and clarify the point sources or non-point sources of pollutants. However, it is a large challenge to establish the LDC in small river basins due to the lack of available observed runoff data. In addition, the LDC cannot yet spatially trace the specific sources of the pollutants. To overcome the limitations of LDC, this study develops a LDC based on a distributed hydrological model of the Soil and Water Assessment Tool (SWAT). First, the SWAT model is used to generate the runoff data. Then, for the control and management of over-loaded polluted water, the spatial distribution and transportation of original sources of point and non-point pollutants are ascertained with the aid of the SWAT model. The development procedures of LDC proposed in this study are applied to the Jian-jiang River basin, a tributary of the Yangtze River, in Duyun city of Guizhou province. The results indicate the effectiveness of the method, which is applicable for water environmental management in data-scarce river basins.
机译:许多发展中国家和地区目前正面临严重的水环境问题,特别是缺乏对中小型流域的监测系统。负荷持续时间曲线(LDC)是一种识别受污染水体并弄清污染物的点源或非点源的有效方法。但是,由于缺乏可用的观测到的径流数据,在小河流域建立最不发达国家数据中心是一个巨大的挑战。此外,最不发达国家还不能在空间上追踪污染物的具体来源。为了克服最不发达国家的局限性,本研究基于土壤和水评估工具(SWAT)的分布式水文模型开发了最不发达国家。首先,SWAT模型用于生成径流数据。然后,为了控制和管理超载的污水,借助SWAT模型确定了点和非点污染物原始来源的空间分布和运输。本研究提出的LDC的开发程序适用于贵州都匀市的长江支流建江流域。结果表明了该方法的有效性,适用于数据稀少流域的水环境管理。

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