文献类型：期刊文献

中文题名：土壤污染风险区划及形成机制探究——以广州市中心城区多环芳烃污染为例

英文题名：The formation mechanism of soil pollution risk zoning:A case study of polycyclic aromatic hydrocarbons pollution in the central urban area of Guangzhou

作者：陈洁花[1,2];李高聪[1];陈莲[2];王振江[2,3];林森[2];王丹[2];莫金玲[1,2];孙凌云[2,4];李智毅[2];王圆[2];柴霞[1]

机构：[1]广东海洋大学电子与信息工程学院,湛江524088;[2]广东省农业科学院蚕业与农产品加工研究所,广州510610;[3]农业农村部华南都市农业重点实验室,广州510610;[4]海南大学热带农林学院,儋州571737

年份：2025

卷号：45

期号：7

起止页码：404

中文期刊名：环境科学学报

外文期刊名：Acta Scientiae Circumstantiae

收录：北大核心2023、、北大核心

基金：国家自然科学基金青年科学基金项目(No.42007379);广东省农业科学院“优秀博士”人才引进项目(No.R2021YJ-YB3007);广东省农业科学院2020年青年导师制项目(No.R2020QD-044)。

语种：中文

中文关键词：多环芳烃(PAHs);正定矩阵因子分析(PMF);蒙特卡洛模型;风险区划模型;城市土壤

外文关键词：polycyclic aromatic hydrocarbons(PAHs);positive definite matrix factor analysis(PMF);Monte Carlo simulation;risk zoning model;urban soil

中文摘要：多环芳烃作为一种自然界广泛存在的致畸性、致癌性和致突变性的持久性有机污染物而备受关注.城市土壤是多环芳烃的重要储存库,探究其污染特征、来源及风险区划对维护城市土壤生态平衡,降低其对人类的健康风险和制定管控措施至关重要.本文以广州市中心城区(84个样本点)土壤中多环芳烃(PAHs)为研究对象,基于风险形成的3个要素,即风险大小、发生可能性和受体脆弱性,通过整合终生致癌风险模型(ILCR)、蒙特卡洛模拟(Monte-Carlo)、指示克里格法(Kriging)、PMF等模型计算的数据结果,构建了城市土壤PAHs污染风险区划方法,并对风险区划的形成机制进行了探究.结果表明,研究区Σ16 PAHs含量均值为523.34μg·kg^(-1),其中,以5~6环(57.13%)占比最高,其次为2~3环(30.35%),4环(11.52%)占比最小;土壤总体属于轻度污染水平,高值区主要分布于白云区、天河区和黄埔区南部;健康风险评价结果表明,儿童与成人健康风险均值低于10-6,处于可耐受水平.敏感性分析表明暴露周期敏感性最高,是影响健康风险的首要因素,其次,BaP、BW、DaA、SA也是重要因素;不同暴露途径对健康风险贡献大小均为:皮肤接触>手口摄入>呼吸吸入.风险区划分布结果表明,高风险区面积占研究区总面积1.215%,主要位于白云区和越秀区,中风险区占22.95%,主要位于白云区和越秀区和海珠区,低风险区占58.02%,主要位于天河区、海珠区、荔湾区和黄埔区南北两侧,无风险区占17.82%,位于黄埔区中部.PMF模型对风险区划的成因与机制探究可知,研究区风险来源主要包括化石源、交通源、焦化源、煤炭源,贡献比例依次为42.56%、20.44%、20.32%、16.68%,四大污染来源的高值区均位于白云区,这是白云区成为PAHs污染高风险区的重要因素.本研究可以精确识别PAHs污染高风险区域,并阐述了风险区划形成机制,结果将有助于提出更为合理有效的风险管控方案.

外文摘要：Polycyclic aromatic hydrocarbons(PAHs),a class of persistent organic pollutants with teratogenic,carcinogenic,and mutagenic properties,are ubiquitously present in Urban soil.The investigation of PAHs contamination characteristics,sources,and risk zoning is of great significance for safeguarding the ecological equilibrium of urban soils,alleviating potential health risks to humans,and devising effective regulatory strategies.This study investigated PAHs contamination across the central urban region of Guangzhou City through soil sampling at 84 sites.Building upon the three essential elements of risk formation-namely,the magnitude of risk,the probability of occurrence,and the vulnerability of receptors-we developed a methodology for risk zoning regarding urban soil contamination by PAHs.This methodology combined the computational outcomes of multiple models,including the Incremental Lifetime Carcinogenic Risk(ILCR)model,Monte Carlo Simulation,Indicator Kriging method,and Positive Matrix Factorization(PMF).Furthermore,we systematically explored the formation mechanisms underlying the risk zoning patterns.The results indicated that the mean concentration of Σ16 PAHs in the study area was 523.34μg·kg^(-1),with 5~6 ring PAHs(57.13%)dominating,followed by 2~3 ring(30.35%),and 4 ring(11.52%)PAHs.Overall,the soil pollution level was categorized as low,with elevated concentrations mainly concentrated in Baiyun District,Tianhe District,and southern Huangpu District.Health risk assessments revealed that the average health risks for both children and adults were lower than 10??(tolerable level).The sensitivity analysis identified exposure duration as the most crucial factor influencing health risks,as it exhibited the highest sensitivity coefficient,followed by BaP(Benzo[a]pyrene),BW(body weight),DaA(Dibenzo[a,h]anthracene),and SA(exposed skin area).Regarding exposure pathways,the contribution to overall risks was consistently ranked as:dermal contact>hand-to-mouth ingestion>respiratory inhalation.risk zoning distribution revealed high-risk zones(1.215%of the area)in Baiyun District and Yuexiu District,while medium-risk zones(22.95%)in Baiyun,Yuexiu,and Haizhu District,Low-risk zones(58.02%)in Tianhe,Haizhu,Liwan,as well as the northern and southern parts of Huangpu District,and No-risk zones(17.82%)in the central area of Huangpu District.The exploration of the causal mechanisms behind pollution risk zonation,through the application of the Positive Matrix Factorization(PMF)model,disclosed that the sources of PAHs in the study area can be mainly ascribed to four distinct emission categories fossil fuel combustion(42.56%),vehicular emissions(20.44%),coking industrial processes(20.32%),and coal utilization(16.68%).Significantly,the high-value areas of the four major pollution sources were all located in Baiyun District,which was an important factor for Baiyun District to become a high-risk area for PAHs pollution.This study can accurately identify the high-risk areas of PAHs contamination and elucidate the formation mechanisms of risk zoning,offering scientific support for the development of more rational and effective risk management strategies.