Study on distribution characteristics and influence factor of groundwater organic pollutants in coking industry based on logistic regression analysis
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摘要: 焦化厂生产过程产生的多环芳烃等有机污染物对环境特别是对土壤和地下水造成严重危害。为了明确焦化企业在不同水文地质条件下，对地下水的影响程度，本文利用逻辑回归分析方法对河北某市25家焦化企业连续三年的地下水有机污染物监测数据进行分析研究，结果表明：（1）在300组地下水样品中检出率最高的指标为菲、芴、萘等二环芳烃，苯及氯代烃；（2）通过对企业污染源特征、入渗途径、水文地质条件、取样时间四大方面15个指标进行逻辑回归分析发现，焦化行业地下水中苯系物检出率的主要影响因素是企业所处水文地质单元，地下水水力坡度和水位埋深越小的区域，苯系物检出率越高；多环芳烃类污染物检出率与包气带中粘性土厚度成正相关；氯代烃污染与企业生产年限成正相关。本次研究成果结合焦化企业所在水文地质条件、生产工艺等特征可定性分析焦化场地地下水污染特征，也可用于指导新建焦化场地选址。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.
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