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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水库上游非点源污染输入的影响

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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 = b 0 + ∑i=1 m b i X i. 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,三峡水库(TGR)上游的土地使用已发生了巨大变化。在这项研究中,检查了土壤和水评估工具(SWAT)模型的能力,以评估TGR上游土地利用变化与非点源污染物指数之间的关系。结果表明,用调整后的参数进行校准的SWAT模型可以成功地再现两条河流水质监测点的非点指标。研究区域显示不同的土地利用变化类型对非点源污染物敏感。从高地到水的土地利用变化类型对总氮和总磷变化的影响最大。通过偏最小二乘回归(PLSR)为研究区域建立了非点指标与不同土地利用变化类型之间的经验回归方程:Y = b 0 + ∑i = 1 m bi X i 。该回归方程可用于评估土地利用变化类型对长时间内非点源污染物变化的影响。这项研究的结果可能对TGR管理很有用,并且可能有助于减少流入下游水体的面源污染物。

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