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Assessment of the Impacts of Land Use Changes on Nonpoint Source Pollution Inputs Upstream of the Three Gorges Reservoir

机译:评估土地利用变化对三峡库区上游非点源污染投入的影响

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摘要

In recent years, land use upstream of the Three Gorges Reservoir (TGR) has changed significantly because of the TGR project. In this study, the Soil and Water Assessment Tool (SWAT) model was examined for its ability to assess relationships between land use changes and nonpoint pollutant indexes upstream of the TGR. Results indicated that the SWAT model, calibrated with the adjusted parameters, could successfully reproduce the nonpoint indexes at the water quality monitoring sites in the two rivers. The different land use change types were shown to be sensitive to nonpoint pollutants in the study area. The land use change type from upland to water was the strongest influence on changes in total nitrogen and total phosphorus. An empirical regression equation between nonpoint indexes and different land use change types was developed for the study area by partial least squares regression (PLSR) as follows: Y=b0+∑i=1mbiXi. This regression equation was useful for evaluating the influence of land use change types on changes in nonpoint pollutants over a long time period. The results from this study may be useful for the TGR management and may help to reduce nonpoint pollutant loads into downstream water bodies.
机译:近年来,由于TGR项目,三峡库区上游的土地利用(TGR)已经发生了重大变化。在这项研究中,检查了土壤和水评估工具(SWAT)模型的能力评估土地利用变化与TGR上游的非点污染物指标之间的关系。结果表明,随着调整后参数校准的SWAT模型可以成功再现两条河流水质监测网站的非点指标。不同的土地利用变化类型被证明对研究区域的非点污染物敏感。从高地到水的土地利用变化类型是对总氮气和总磷的变化的最强烈影响。由部分最小二乘回归(PLSR)为研究区开发了非点指数与不同土地利用变化类型的经验回归方程,如下所示:Y = B0 +Σi= 1mbixi。该回归方程可用于评估土地利用变化类型在长期污染物的变化上的影响。本研究的结果可能对TGR管理有用,并且可能有助于将非点污染物载入下游水体。

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