Your browser doesn't support javascript.
loading
[Driving Factors Analysis for Spatial-Temporal Distribution of Organic Pollutants in the Yangtze River Delta Based on the Optimal-scale Geographical Detector].
He, Jin-Ke; Zhou, Ya-Nan; Chen, Yue-Hong; Zhuang, Chao; Li, Run-Qiang.
Afiliación
  • He JK; College of Hydrology and Water Resources, Hohai University, Nanjing 210010, China.
  • Zhou YN; College of Hydrology and Water Resources, Hohai University, Nanjing 210010, China.
  • Chen YH; College of Hydrology and Water Resources, Hohai University, Nanjing 210010, China.
  • Zhuang C; School of Earth Science and Engineering, Hohai University, Nanjing 210010, China.
  • Li RQ; Xingtu Huian Co., Ltd., Guangzhou 510070, China.
Huan Jing Ke Xue ; 45(6): 3480-3492, 2024 Jun 08.
Article en Zh | MEDLINE | ID: mdl-38897768
ABSTRACT
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 that① 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.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Compuestos Orgánicos / Contaminantes Químicos del Agua / Monitoreo del Ambiente / Ríos / Análisis Espacio-Temporal País/Región como asunto: Asia Idioma: Zh Revista: Huan Jing Ke Xue Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: China
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Compuestos Orgánicos / Contaminantes Químicos del Agua / Monitoreo del Ambiente / Ríos / Análisis Espacio-Temporal País/Región como asunto: Asia Idioma: Zh Revista: Huan Jing Ke Xue Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: China