GIS在土壤重金属污染溯源中的应用现状、问题与挑战
In the Tracing of Soil Heavy Metal Pollution, GIS ’s Application Status, Problems and Challenges
DOI: 10.12677/hjss.2026.141009, PDF,   
作者: 祖金凡：云南师范大学地理学部，云南 昆明
关键词: 重金属；GIS；溯源；Heavy Metals； GIS； Traceability
摘要: 土壤重金属污染日益严重，找寻污染源已成当务之急。GIS技术为实现土壤重金属溯源提供了新手段。文章阐述GIS的应用方法与流程，总结其在整合数据、识别传输通道、建立源–汇动态模型等方面的优势，能直观反映污染过程与效果，提高环境管理决策水平。但GIS应用也面临数据获取难、成本高等困难。文章也展望未来，需加强数据建设，提高模型与系统精度，发挥GIS技术在土壤重金属溯源中的更大作用。
Abstract: Heavy metal pollution in soil is becoming more and more serious, and finding the source of pollution has become a top priority. GIS technology provides a new means to realize the traceability of heavy metals in soil. This paper expounds the application methods and processes of GIS, and summarizes its advantages in integrating data, identifying transmission channels, and establishing source-sink dynamic models, which can intuitively reflect the pollution process and effect and improve the level of environmental management decision-making. However, GIS applications also face difficulties such as difficulty in obtaining data and high cost. Looking forward to the future, it is necessary to strengthen data construction, improve the accuracy of models and systems, and give full play to the greater role of GIS technology in the traceability of soil heavy metals.
文章引用：祖金凡. GIS在土壤重金属污染溯源中的应用现状、问题与挑战[J]. 土壤科学, 2026, 14(1): 81-87. https://doi.org/10.12677/hjss.2026.141009

参考文献

[1] 王靖伟. 土壤重金属污染及其防治措施分析[J]. 清洗世界, 2023, 39(10): 172-174.
[2] 侯德义, 张凯凯, 王刘炜, 等. 工业场地重金属污染土壤治理现状与展望[J]. 环境保护, 2021, 49(20): 223-228.
[3] 谢龙涛, 潘剑君, 白浩然, 等. 基于GIS的农田土壤重金属空间分布及污染评价——以南京市江宁区某乡镇为例[J]. 土壤学报, 2020, 57(2): 563-569.
[4] 白秀玲, 马建华, 孙艳丽, 等. 开封城市土壤磷素组成特征及流失风险[J]. 环境科学, 2018, 39(2): 909-915.
[5] Ganugapenta, S., Nadimikeri, J., Chinnapolla, S.R.R.B., Ballari, L., Madiga, R., et al. (2018) Assessment of Heavy Metal Pollution from the Sediment of Tupilipalem Coast, Southeast Coast of India. International Journal of Sediment Research, 33, 294-302. [Google Scholar] [CrossRef] 
[6] Zhang, P., Qin, C., Hong, X., Kang, G., Qin, M., Yang, D., et al. (2018) Risk Assessment and Source Analysis of Soil Heavy Metal Pollution from Lower Reaches of Yellow River Irrigation in China. Science of the Total Environment, 633, 1136-1147. [Google Scholar] [CrossRef] [PubMed]
[7] Pons-Branchu, E., Ayrault, S., Roy-Barman, M., Bordier, L., Borst, W., Branchu, P., et al. (2015) Three Centuries of Heavy Metal Pollution in Paris (France) Recorded by Urban Speleothems. Science of the Total Environment, 518, 86-96. [Google Scholar] [CrossRef] [PubMed]
[8] 童庆禧, 张兵, 张立福. 中国高光谱遥感的前沿进展[J]. 遥感学报, 2016, 20(5): 689-707.
[9] 陆敬刚. 基于GIS技术的土地生态环境污染信息监测研究[J]. 环境科学与管理, 2021, 46(5): 24-33.
[10] 韩存亮, 罗炳圣, 常春英, 等. 基于多种方法的区域农业土壤重金属污染成因分析研究[J]. 生态与农村环境学报, 2022, 38(2): 176-183.
[11] 尚二萍, 许尔琪, 张红旗, 等. 中国粮食主产区耕地土壤重金属时空变化与污染源分析[J]. 环境科学, 2018, 39(10): 4670-4683.
[12] 朱文博, 张国平, 汪纯云, 等. 基于无线WIFI的实时环境监测系统设计[J]. 电子设计工程, 2020, 28(1): 140-143, 148.
[13] 邓杨琼. 基于3S的土地利用动态监测技术与应用研究[J]. 价值工程, 2020, 39(20): 203-204.
[14] 郭志娟, 周亚龙, 杨峥, 等. 雄安新区土壤重金属地球化学监测关键问题探讨[J]. 环境科学, 2020, 41(9): 4169-4179.
[15] 揭文辉, 张策, 程思思, 等. 近年来石河子市土地利用与生态环境遥感监测[J]. 地理空间信息, 2020, 18(1): 54-57, 72.
[16] 于堃, 单捷, 王志明, 等. 无人机遥感技术在小尺度土地利用现状动态监测中的应用[J]. 江苏农业学报, 2019, 35(4): 853-859.
[17] 朱晓丽, 薛博倩, 李雪, 等. 基于PMF模型的宝鸡铅锌尾矿库周边农田土壤重金属源解析[J]. 西北大学学报(自然科学版), 2021, 51(1): 43-53.
[18] Jiang, H., Cai, L., Wen, H. and Luo, J. (2020) Characterizing Pollution and Source Identification of Heavy Metals in Soils Using Geochemical Baseline and PMF Approach. Scientific Reports, 10, Article No. 6460. [Google Scholar] [CrossRef] [PubMed]
[19] 张又文, 韩建华, 涂棋, 等. 天津市郊农田土壤重金属积累特征及评价[J]. 生态与农村环境学报, 2019, 35(11): 1445-1452.
[20] 贾佳瑜, 刘小芳, 赵勇钢, 等. 汾河流域下游农田土壤重金属空间分布特征与污染评价[J]. 干旱区资源与环境, 2021, 35(8): 132-137.
[21] 王大可, 徐立明, 郑吉林, 等. 基于PMF模型和Pb同位素示踪的土壤重金属污染现状分析及源解析[J/OL]. 地质通报: 1-17.
https://link.cnki.net/urlid/11.4648.p.20250911.1014.002, 2025-10-19.
[22] Chen, D., Wang, X., Luo, X., Huang, G., Tian, Z., Li, W., et al. (2023) Delineating and Identifying Risk Zones of Soil Heavy Metal Pollution in an Industrialized Region Using Machine Learning. Environmental Pollution, 318, Article ID: 120932. [Google Scholar] [CrossRef] [PubMed]
[23] Guo, G., Li, K., Zhang, D. and Lei, M. (2022) Quantitative Source Apportionment and Associated Driving Factor Identification for Soil Potential Toxicity Elements via Combining Receptor Models, SOM, and Geo-Detector Method. Science of the Total Environment, 830, Article ID: 154721. [Google Scholar] [CrossRef] [PubMed]
[24] Zhang, X., Tian, C., Sun, Z., Yin, X., Sun, R. and Wang, J. (2024) Temporal and Spatial Distribution of DIN and DIP Concentrations and Source Apportionment along the Bohai Sea of China during 2015-2022. Chinese Geographical Science, 34, 1004-1016. [Google Scholar] [CrossRef] 
[25] Ghosh, S., Banerjee, S., Prajapati, J., Mandal, J., Mukherjee, A. and Bhattacharyya, P. (2023) Pollution and Health Risk Assessment of Mine Tailings Contaminated Soils in India from Toxic Elements with Statistical Approaches. Chemosphere, 324, Article ID: 138267. [Google Scholar] [CrossRef] [PubMed]
[26] Yi, W., Liu, L., Wang, D., Zhang, X. and Yu, G. (2025) Potential of Biochar Derived from Sewage Sludge and Calcium Sulfate as an Amendment for Acidic Soils: Milk Chinese Cabbage Cultivation. Journal of Environmental Chemical Engineering, 13, Article ID: 115641. [Google Scholar] [CrossRef] 
[27] 张望, 杨唐仪, 刘媛媛, 等. 赣南某稀土冶炼场地土壤重金属分布特征与源解析[J]. 有色金属(冶炼部分), 2025(10): 197-208.
[28] Bhandari, R. and Xue, W. (2025) Integrating Multivariate Statistical Analysis and Geospatial Approaches for Sediment Contamination: A Case Study in the Great Chao Phraya River Network, Thailand. Journal of Soils and Sediments, 25, 2032-2046. [Google Scholar] [CrossRef] 
[29] Mohamoud, A.M., Halder, B., Shakir, H.S. and Yaseen, Z.M. (2025) Soil Heavy Metal Contamination Analysis: A Representative Case Study in New Zealand. Journal of Environmental Chemical Engineering, 13, Article ID: 116808. [Google Scholar] [CrossRef] 

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