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上海城乡梯度土壤中多氯联苯的浓度和积累速率。

Concentrations and accumulation rates of polychlorinated biphenyls in soil along an urban-rural gradient in Shanghai.

机构信息

College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, People's Republic of China.

Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, People's Republic of China.

出版信息

Environ Sci Pollut Res Int. 2020 Mar;27(9):8835-8845. doi: 10.1007/s11356-019-05312-w. Epub 2019 May 16.

Abstract

This study proposed an in situ soil experimental system to quantify concentration and accumulation rates of polychlorinated biphenyl (PCB) congeners in the soil in a rural-urban fringe and correlated them with multiple variables in the area. Variables, including road density, normalized difference vegetation index (NDVI), distance to the nearest highway and industrial area from the soil experimental sites, land-use impact index, population density, population change index (PCI), total population, and percentage of water area, were used to explain the concentration of different PCB congeners in soil during the experimental period. A proportion of 40.1%, 22.6%, 56.9%, and 34.3% accumulation rates of PCB8, PCB18, PCB28, and PCB118, respectively was explained by industrial developments, using stepwise linear regression analysis. NDVI was used to explain 33.6%, 61.5%, 49.1%, and 53.2% accumulation rates of PCB44, PCB101, PCB187, and PCB180, respectively. Filtering and transferring of airborne organic pollutants from atmosphere to soil by forests or tree stands and farmlands were all NDVI-related factors that affected the concentrations and accumulation rates of PCB congeners in soil. The traffic-related particle deposition might be the reason why the concentrations and accumulation rates of PCB congeners in soil were affected by road density. The findings can help quantitatively understand urbanization and the associated environmental effects. Graphic abstract.

摘要

本研究提出了一种原位土壤实验系统,用于量化城市边缘土壤中多氯联苯(PCB)同系物的浓度和积累率,并将其与该地区的多个变量相关联。变量包括道路密度、归一化差异植被指数(NDVI)、距土壤实验点最近的高速公路和工业区的距离、土地利用影响指数、人口密度、人口变化指数(PCI)、总人口和水域百分比,用于解释实验期间土壤中不同 PCB 同系物的浓度。使用逐步线性回归分析,工业发展分别解释了 PCB8、PCB18、PCB28 和 PCB118 的积累率的 40.1%、22.6%、56.9%和 34.3%。NDVI 分别解释了 PCB44、PCB101、PCB187 和 PCB180 的积累率的 33.6%、61.5%、49.1%和 53.2%。森林或树木和农田从大气中过滤和转移空气传播的有机污染物是影响土壤中 PCB 同系物浓度和积累率的 NDVI 相关因素。交通相关的颗粒沉积可能是土壤中 PCB 同系物浓度和积累率受道路密度影响的原因。这些发现有助于定量理解城市化及其相关的环境影响。

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