He Jin-Ke, Zhou Ya-Nan, Chen Yue-Hong, Zhuang Chao, Li Run-Qiang
College of Hydrology and Water Resources, Hohai University, Nanjing 210010, China.
School of Earth Science and Engineering, Hohai University, Nanjing 210010, China.
Huan Jing Ke Xue. 2024 Jun 8;45(6):3480-3492. doi: 10.13227/j.hjkx.202307039.
Site contamination has caused serious harm to human health and the ecological environment, so understanding its spatial and temporal distribution patterns is the basis for contamination assessment and site remediation. For this reason, this study analyzed the spatial-temporal distribution patterns of organic pollutants and their driving factors in the Yangtze River Delta based on site sampling data using the optimal-scale geographical detector. The analysis results showed that:① There was a significant scale effect in the spatial distribution of organic pollutants in the Yangtze River Delta, and its optimal geographic detection scale grid was 8 000 meters. ② The main control factor of the spatial distribution of pollutants in the Yangtze River Delta originated mostly from the biological field, followed by the chemical field. ③ At the depth of 0-20 cm of soil, the explanatory power of sucrase content, urease content, microbial nitrogen amount, total nitrogen content, and cation exchange amount were stronger for the spatial distribution of organic pollutants. At the soil depth of 20-40 cm, the factors with stronger explanatory power on the spatial distribution of organic pollutants were soil moisture, population, and total nitrogen content. With the deepening of soil depth, the explanatory power of the factors of the hydrodynamic field increased. ④ Population, total nitrogen content, and polyphenol oxidase content had stronger explanatory power for the spatial distribution of organic pollutants in the spring. The spatial distribution of organic pollutants was more complex in autumn, and the factors showed stronger enhanced-nonlinear and enhanced-bi phenomena.
场地污染对人类健康和生态环境造成了严重危害，因此了解其时空分布格局是污染评估和场地修复的基础。基于此，本研究利用最优尺度地理探测器，根据现场采样数据，分析了长江三角洲地区有机污染物的时空分布格局及其驱动因素。分析结果表明：①长江三角洲地区有机污染物空间分布存在显著的尺度效应，其最优地理探测尺度网格为8000米。②长江三角洲地区污染物空间分布的主要控制因素大多源于生物场，其次是化学场。③在土壤0-20厘米深度处，蔗糖酶含量、脲酶含量、微生物氮量、总氮含量和阳离子交换量对有机污染物空间分布的解释力较强。在土壤深度20-40厘米处，对有机污染物空间分布解释力较强的因素为土壤湿度、人口和总氮含量。随着土壤深度的加深，水动力场因素的解释力增强。④人口、总氮含量和多酚氧化酶含量对春季有机污染物空间分布的解释力较强。秋季有机污染物的空间分布更为复杂，各因素呈现出较强的增强非线性和增强双现象。
