首页 > 过刊浏览>2023年第42卷第6期 >185-195. DOI:10.13300/j.cnki.hnlkxb.2023.06.022
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典型城市工业集聚区土壤重金属污染精准刻画及健康风险评估
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作者:
作者单位:

1.邢台市生态环境局邢东新区分局，邢台 054001;2.中国科学院地理科学与资源研究所/陆地表层格局与模拟院重点实验室，北京 100101;3.中国科学院大学，北京 100049;4.石家庄市平山环境监控中心，石家庄 050400

作者简介:

卢合峰，E-mail：xthbtr@163.com

通讯作者:

阎秀兰，E-mail：yanxl@igsnrr.ac.cn

中图分类号:

X53;X820.4

基金项目:

国家自然科学基金项目（42207456；U21A2023）


Accurate characterization and health risk assessment of heavy metal pollution in soil of typical urban industrial agglomeration areas
Author:
Affiliation:

1.Xingdong New Area Branch， Xingtai Ecological and Environmental Bureau， Xingtai 054001，China;2.Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences/Key Laboratory of Land Surface Patterns and Simulation， Beijing 100101，China;3.University of Chinese Academy of Sciences， Beijing 100049， China;4.Shijiazhuang Pingshan Environment Monitoring Center，Shijiazhuang 050400，China

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    摘要:

    为提高工业集聚区土壤污染刻画模型的精度，以河北省某在产工业聚集区土壤重金属作为研究对象，对比研究距离权重法（IDW）、普通克里金（OK）、支持向量机（SVM）和梯度提升决策树（GBDT）等不同插值方法在处理浓度非平稳、有偏数据的刻画精度问题。结果显示：该场地土壤中主要污染物为As，GBDT在刻画土壤As污染时表现出最高的精度（R2=0.911 5）；GBDT可视化结果发现，As的浓度分布格局为“斑块聚集”，并且表现出明显向深层迁移的趋势；相关性分析结果表明，As浓度在场地土壤中的分异行为主要与土壤岩性和水文地质条件有关；蒙特卡罗模拟风险评估结果显示，场地土壤成人和儿童的总致癌风险指数均超过指导值，并且儿童遭受的非致癌性和致癌性风险高于成人。

    Abstract:

    The heavy metals in the soil of an industrial agglomeration areas in Hebei Province were used to conduct a comparative study on the problem of characterization accuracy in handling non-stationary concentration and biased data with different interpolation methods including distance weighting（IDW）， ordinary Kriging（OK）， support vector machine（SVM）， and gradient enhanced decision tree（GBDT） to improve the accuracy of models for characterizing the soil pollution in industrial agglomeration areas. The results showed that the main pollutant in the soil of this site was arsenic， and GBDT exhibited the highest accuracy in characterizing arsenic pollution in soil （R2=0.911 5）. The results of GBDT visualization showed that the concentration distribution pattern of arsenic was "patchy aggregation" and had a good vertical migration capacity. The results of correlation analysis showed that the differentiation behavior of Arsenic concentration in the soil of this site was mainly related to the soil lithology and hydrogeological conditions. The results of Monte Carlo-based simulation showed that the total cancer risk index of both adults and children in the soil of this site exceeded the guidance value， and children suffered from higher non carcinogenic and carcinogenic risks than adults.

    表 4 基于不同模型模拟的土壤污染物人体健康风险Table 4 Human health risks of soil contaminants simulated in different models
    图1 研究区采样点位（A）和土壤岩性（B）Fig.1 Locations of sample sites（A）， soil layering profile（B） in the study area
    图2 土壤中污染物的污染指标Fig.2 The pollution indexes of contaminants in soil
    图3 重金属与土壤基本理化性质的Pearson相关性分析Fig.3 Correlation hot map between heavy metals and soil parameters
    图4 不同模型的散点图拟合Fig.4 Scatterplots of different models fitting
    图5 使用GBRT模型刻画不同深度土壤中As的空间分布Fig.5 Spatial distribution of As in soil at different depths using GBRT modeling
    图6 土壤总非致癌和总致癌的风险概率分布以及各参数敏感度结果Fig.6 Probability distribution for hazard index and total carcinogenic risk in soil and sensitivity results for various parameters
    表 2 场地土壤重金属含量描述性统计Table 2 Descriptive statistics of soil heavy metal
    表 3 不同模型的验证结果Table 3 Scatterplots of different models validating results
    表 1 输入参数的含义及蒙特卡罗概率风险评估的取值Table 1 Input parameters and values in health risk assessment with Monte Carlo simulator
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卢合峰,阎秀兰,刘思言,苏艳超,杨潇.典型城市工业集聚区土壤重金属污染精准刻画及健康风险评估[J].华中农业大学学报,2023,42(6):185-195

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  • 收稿日期:2023-10-25
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