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| Differences of soil pollution source analysis models based on geostatistics |
| Received:March 22, 2022 Revised:May 25, 2022 |
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| KeyWord:soil pollution source analysis;geostatistics;PCA-APCS-MLR model;PMF model;UNMIX model |
| Author Name | Affiliation | E-mail | | WANG Bin | Environrem Environmental Remediation Technology Co., Ltd., Shaoxing 312000, China | | | JIANG Kun | Environrem Environmental Remediation Technology Co., Ltd., Shaoxing 312000, China | | | SHI Huading | Technical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
Institute of Soil and Solid Waste Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China | | | XU Jiali | Environrem Environmental Remediation Technology Co., Ltd., Shaoxing 312000, China | | | WU Haibo | Environrem Environmental Remediation Technology Co., Ltd., Shaoxing 312000, China | | | LUO Chunhui | Shaoxing University, Shaoxing 312000, China | 18616613180@163.com |
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| Abstract: |
| To explore the applicability of different source analysis models, using soil heavy metals in Songyin Creek as an example, we analyzed the pollution sources in the study area using PCA-APCS-MLR, PMF, and UNMIX models. We used interpolation analysis to determine the contribution of the three models using geostatistics. Finally, we compared the source analysis results. The results showed that for soil pollution sources in the study area, natural sources could be identified by the PCA-APCS-MLR model, and traffic-pesticidepollution irrigation sources, natural and industrial sources could be identified by the PMF and UNMIX models. According to these three models, natural sources were the main sources of soil Cd, Pb, As, Cu, and Zn, and the total contribution rate was 30.1%; Cr and Ni pollution were from industrial sources, and the total contribution rate was 37.4%; Hg pollution was mainly related to traffic sources and pesticidepollution irrigation sources with rate of 18.0% and 14.5%, respectively. This study indicates that the PCA-APCS-MLR model has certain advantages in distinguishing between the types of major pollution sources, while the PMF and UNMIX models are more accurate when calculating the source contribution rate. Different models should be combined in the source analysis to increase the accuracy of the results. |
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