Page 299 - 《环境工程技术学报》2023年第1期

Vol.13，No.1 环 境 工 程 技 术 学 报 第 13 卷，第 1 期
Jan.，2023 Journal of Environmental Engineering Technology 2023 年 1 月

耿治鹏，宋颉，王春林，等.污染场地土壤重金属污染空间特征分析：以某搬迁电镀厂为 例 [J].环境工程技术学报，2023，13（1）：295-302.
GENG Z P,SONG J,WANG C L,et al.Spatial characteristics of soil heavy metal pollution in polluted sites: taking a relocated electroplating factory as an
example[J].Journal of Environmental Engineering Technology，2023，13（1）：295-302.

污染场地土壤重金属污染空间特征分析

— 以 某 搬 迁 电 镀 厂 为 例

1,2
1,2
耿治鹏 ，宋颉 ，王春林 ，蒋卫国 1,2* ，陈征 3
1,2
1.遥感科学国家重点实验室, 北京师范大学地理科学学部
2.环境遥感与数字城市北京市重点实验室, 北京师范大学地理科学学部
3.生态环境部土壤与农业农村生态环境监管技术中心
摘要 以某搬迁电镀厂为例，根据污染场地调查报告内的采样数据，按照相关的污染场地污染标准筛选出污染的重金属类别，利
用反距离权重法分析重金属在研究区的分布特征，运用莫兰指数进行空间关联分析，运用半变异函数分析重金属污染整体的空
间结构和趋势，以探究污染场地的重金属污染空间特征。结果表明：研究区土壤 中 Ni、Cr、Zn、C 浓度超过土壤背景值，其最高
u
浓度采样点的风险标准限值倍数分别 为 9.55、1.35、5.94、10.67；Cu、Z 的浓度在场地范围内东西、南北方向上均呈 倒 U 型趋
n
势，中间高四周低；Ni、C 浓度在空间分布特征较为相似，高值区域位于场地的东北边界处； 种超标重金属的空间特征差异较
r
4
大，但均存在聚集特征。
关键词 土壤重金属；空间分析；空间趋势；半变异函数云；空间自相关
中图分类号：X53 文章编号：1674-991X（2023）01-0295-08 doi：10.12153/j.issn.1674-991X.20210617

Spatial characteristics of soil heavy metal pollution in polluted sites: taking a
relocated electroplating factory as an example

1,2
1,2
1,2
GENG Zhipeng , SONG Jie , WANG Chunlin , JIANG Weiguo 1,2* , CHEN Zheng 3
1.State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University
2.Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Faculty of
Geographical Science, Beijing Normal University
3.Technical Center for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecological Environment

Abstract Taking a relocated electroplating plant as an example and based on the sampling data in the survey
report of the polluted site, the categories of polluting heavy metals were screened according to the Soil
Environmental Quality-Risk Control Standard for Soil Contamination of Agricultural Land (Trial ) (GB 15618-
2018). The inverse distance weighting (IDW) method was used to analyze the distribution characteristics of heavy
metals in the study area, Moran index was used for spatial correlation analysis, and the semivariogram was used to
analyze the overall spatial structure and trend of heavy metal pollution, so as to explore the spatial characteristics of
heavy metal pollution in the polluted site. The results showed that the concentrations of Ni, Cr, Zn and Cu in the soil
in the study area exceeded the soil background value, and the risk screening value multiples of the sampling points
with the highest concentration were 9.55, 1.35, 5.94 and 10.67, respectively. The concentrations of Cu and Zn
showed an inverted U-shaped trend in the east-west and north-south directions within the site, high in the middle and
low around. The spatial distribution characteristics of Ni and Cr concentrations are similar, and the high value area is
located at the northeast boundary of the site. The spatial characteristics of the four over-standard heavy metals were
quite different, but they all showed aggregation characteristics.
Key words soil heavy metals; spatial analysis; spatial trend; semivariogram cloud; spatial autocorrelation

收稿日期：2021-10-27
基金项目：国家重点研发计划项目（2020YFC1807403）
作者简介：耿治鹏（1997—），男，硕士研究生，主要从事生态遥感研究，202121051181@mail.bnu.edu.cn
* 责任作者：蒋卫国（1976—），男，教授，博士，研究方向为湿地生态水文遥感监测与洪水灾害监测评价，jiangweiguo@bnu.edu.cn