College of Resources and Environment, Shandong Agricultural University, Tai'an 271018, China.
Natural Resources and Planning Bureau of Yixing County, Wuxi 214200, China.
Int J Environ Res Public Health. 2021 Oct 20;18(21):11032. doi: 10.3390/ijerph182111032.
This study aimed to assess the relationship between the landscape patterns and non-point source (NPS) pollution distribution in Qixia County, China. The sub-basin classification was conducted based on a digital elevation model and Landsat8 satellite images. Water samples were collected from each sub-basin, andtheir water quality during the wet and dry seasons was estimated. The correlation between the landscape indices and water pollution indicators was determined by Pearson analysis. The location-weighted landscape contrast index () was calculated based on the "source-sink" theory. Qixia was further divided into five sections based on the score to illustrate the potential risk of NPS pollution. The results showed that the water quality in Qixia County was generally good. Cultivated land, orchards, construction areas, and unused land were positively correlated with the water pollution index and weredesignated as the "source" landscape categories, while forests, grasslands, and water bodies, which were negatively correlated with water pollution, were the "sink" landscapes; the was high in 36.94% of the study area. In these areas, measures such as increasing vegetation buffer zones are necessary to decrease the sediment and nutrient loads carried by precipitation.
本研究旨在评估中国栖霞县景观格局与非点源（NPS）污染分布之间的关系。根据数字高程模型和 Landsat8 卫星图像进行了子流域分类。从每个子流域采集水样，并在干湿季节估算其水质。通过 Pearson 分析确定景观指数与水污染指标之间的相关性。根据“源-汇”理论计算位置加权景观对比指数（）。根据得分将栖霞进一步分为五个部分，以说明 NPS 污染的潜在风险。结果表明，栖霞县的水质总体良好。耕地、果园、建设用地和未利用地与水污染指数呈正相关，被指定为“源”景观类别，而与水污染呈负相关的森林、草地和水体则为“汇”景观；研究区 36.94%的地区的值较高。在这些地区，需要采取增加植被缓冲区等措施，以减少降水携带的泥沙和养分负荷。
