Open AccessAnalysis of Soil Pollution Degree and Causes Based on Mathematical Model
Author(s) -
Yunhui Zeng,
Yuanbiao Zhang,
Shusheng Huang,
Hongfei Guo,
Yilin Chen,
Shiyue Shen,
Li Huang,
Wenjuan Hu
Publication year - 2018
Publication title -
journal of environment and ecology
Language(s) - English
Resource type - Journals
ISSN - 2157-6092
DOI - 10.5296/jee.v9i2.13655
Subject(s) - pollution , environmental science , kriging , spatial distribution , research object , environmental engineering , geography , remote sensing , mathematics , statistics , ecology , regional science , biology
Taking the heavy metal pollution in the urban surface soil as the object, this paper analyzes the degree of heavy metal pollution in different areas in the city and the main causes of pollution. Firstly, this paper uses Kriging interpolation method to increase the sample data together with Surfer software to draw the spatial distribution map of eight heavy metals, and then compares the single factor index method and the geological accumulation index-Nemero index method to make a comprehensive evaluation of the heavy metal pollution degree in different areas of the city. It is concluded that the pollution level in the area from slight to heavy is: mountain areas, park green areas, living areas, traffic areas, industrial areas. Then, the main comprehensive index of heavy metals is extracted by the principal component analysis, and the spatial distribution map of the main factors is drawn based on it. According to the spatial distribution map, the main cause of heavy metal pollution is the emission of automobile exhaust and industrial waste, which provides a reliable theoretical basis for the prevention and treatment of heavy metal pollution in the urban surface soil.