华北地质2023，Vol.46Issue(4)：47-54,8.DOI:10.19948/j.12-1471/P.2023.04.06
基于逻辑回归分析的焦化行业地下水有机污染物分布特征及影响因素研究
Study on distribution characteristics and influence factor of groundwater organic pollutants in coking industry based on logistic regression analysis
摘要
Abstract
Organic pollutants such as Polycyclic aromatic hydrocarbon produced in the production process of coking plants cause serious harm to the environment,especially to soil and groundwater.In order to determine the degree of influence of coking enterprises on groundwater under different hydrogeological conditions,this article uses logistic regression analysis to analyze and study the monitoring data of organic pollutants in groundwater from 25 coking enterprises in a certain city of Hebei Province for three consecutive years.The results show that:(1)the indicators with the highest detection rate in 300 groups of groundwater samples are Phenanthrene,Fluorene,Naphthalene and other Polycyclic Aromatic Hydrocarbons,Benzene and Chlorinated hydrocarbons;(2)Through logistic regression analysis of 15 indicators including pollution source characteristics,infiltration pathways,hydrogeological conditions and sampling time,it was found that the main influencing factors for the detection rate of Benzene series compounds in groundwater in the coking industry are the hydrogeological unit in which the enterprise is located.In areas with small groundwater hydraulic slope and burial depth,the higher the detection rate of Benzene series compounds;The detection rate of Polycyclic Aromatic Hydrocarbon pollutants is positively correlated with the thickness of cohesive soil in the aeration zone;Chlorinated hydrocarbon pollution is positively correlated with the production years of enterprises.The research results can qualitatively analyze the groundwater pollution characteristics of coking sites based on the hydrogeological conditions and production processes of the coking enterprise,and can also be used to guide the selection of new coking site locations.关键词
焦化/地下水有机污染/逻辑回归/影响因素Key words
coking industry/groundwater organic pollutants/logistic regression/influencing factor分类
资源环境引用本文复制引用
李红超,单强,马丙太,赵德刚..基于逻辑回归分析的焦化行业地下水有机污染物分布特征及影响因素研究[J].华北地质,2023,46(4):47-54,8.基金项目
中央水污染防治资金"唐山市海子沿水源补给区地下水环境监测自然衰减风险管控项目(TSHRZB2021-30)" （TSHRZB2021-30）
