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Assessment of the Driving Pollution Factors of Soil Environmental Quality Based on China’s Risk Control Standard: Multiple Bigdata-Based Approaches with Intensive Sampling
Identifying the driving factors of soil environmental quality is critical in raising countermeasures for managing the soil environment efficiently and precisely. In 2018, China issued risk control standards to divide soil environmental quality into three classes to meet the demands of environment ma...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9564857/ https://www.ncbi.nlm.nih.gov/pubmed/36231759 http://dx.doi.org/10.3390/ijerph191912459 |
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author | Wang, Xiahui Wei, Nan Ji, Guohua Liu, Ruiping Huang, Guoxin Zhang, Hongzhen |
author_facet | Wang, Xiahui Wei, Nan Ji, Guohua Liu, Ruiping Huang, Guoxin Zhang, Hongzhen |
author_sort | Wang, Xiahui |
collection | PubMed |
description | Identifying the driving factors of soil environmental quality is critical in raising countermeasures for managing the soil environment efficiently and precisely. In 2018, China issued risk control standards to divide soil environmental quality into three classes to meet the demands of environment management. However, there is a lack of knowledge of this new standard. An intensive field-sampling research (2598 top-soil samples were analyzed) was conducted in the agricultural land of Hubei province, central China, to find the driving factors of pollutants based on this new standard. According to the standard, the proportion of classes 1, 2, and 3 in the overall quality grade was 57.3%, 41.7%, and 1%, respectively. The standardized index showed that the pollution levels of cadmium, arsenic, lead, and chromium were higher than that of mercury. The first component of the principal component analysis explained 56.4% of the total variance, and the loading of cadmium, arsenic and lead were −53.5%, −52.1%, and −51.2%, respectively. The general linear modeling found that cadmium and arsenic showed positive and significant effects (p < 0.001) on the grading results of soil environmental quality. Based on the random forest algorithm, cadmium showed the greatest importance on soil environmental quality (increase in mean squared error = 32.5%). Overall, this study revealed that cadmium, arsenic, and lead were driving pollutants affecting soil environment quality grade. The large data size increased the reliability and robustness of the study’s conclusions, and it provided reference methods for future studies investigating China’s new standard for assessing soil environmental quality. |
format | Online Article Text |
id | pubmed-9564857 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95648572022-10-15 Assessment of the Driving Pollution Factors of Soil Environmental Quality Based on China’s Risk Control Standard: Multiple Bigdata-Based Approaches with Intensive Sampling Wang, Xiahui Wei, Nan Ji, Guohua Liu, Ruiping Huang, Guoxin Zhang, Hongzhen Int J Environ Res Public Health Article Identifying the driving factors of soil environmental quality is critical in raising countermeasures for managing the soil environment efficiently and precisely. In 2018, China issued risk control standards to divide soil environmental quality into three classes to meet the demands of environment management. However, there is a lack of knowledge of this new standard. An intensive field-sampling research (2598 top-soil samples were analyzed) was conducted in the agricultural land of Hubei province, central China, to find the driving factors of pollutants based on this new standard. According to the standard, the proportion of classes 1, 2, and 3 in the overall quality grade was 57.3%, 41.7%, and 1%, respectively. The standardized index showed that the pollution levels of cadmium, arsenic, lead, and chromium were higher than that of mercury. The first component of the principal component analysis explained 56.4% of the total variance, and the loading of cadmium, arsenic and lead were −53.5%, −52.1%, and −51.2%, respectively. The general linear modeling found that cadmium and arsenic showed positive and significant effects (p < 0.001) on the grading results of soil environmental quality. Based on the random forest algorithm, cadmium showed the greatest importance on soil environmental quality (increase in mean squared error = 32.5%). Overall, this study revealed that cadmium, arsenic, and lead were driving pollutants affecting soil environment quality grade. The large data size increased the reliability and robustness of the study’s conclusions, and it provided reference methods for future studies investigating China’s new standard for assessing soil environmental quality. MDPI 2022-09-30 /pmc/articles/PMC9564857/ /pubmed/36231759 http://dx.doi.org/10.3390/ijerph191912459 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Xiahui Wei, Nan Ji, Guohua Liu, Ruiping Huang, Guoxin Zhang, Hongzhen Assessment of the Driving Pollution Factors of Soil Environmental Quality Based on China’s Risk Control Standard: Multiple Bigdata-Based Approaches with Intensive Sampling |
title | Assessment of the Driving Pollution Factors of Soil Environmental Quality Based on China’s Risk Control Standard: Multiple Bigdata-Based Approaches with Intensive Sampling |
title_full | Assessment of the Driving Pollution Factors of Soil Environmental Quality Based on China’s Risk Control Standard: Multiple Bigdata-Based Approaches with Intensive Sampling |
title_fullStr | Assessment of the Driving Pollution Factors of Soil Environmental Quality Based on China’s Risk Control Standard: Multiple Bigdata-Based Approaches with Intensive Sampling |
title_full_unstemmed | Assessment of the Driving Pollution Factors of Soil Environmental Quality Based on China’s Risk Control Standard: Multiple Bigdata-Based Approaches with Intensive Sampling |
title_short | Assessment of the Driving Pollution Factors of Soil Environmental Quality Based on China’s Risk Control Standard: Multiple Bigdata-Based Approaches with Intensive Sampling |
title_sort | assessment of the driving pollution factors of soil environmental quality based on china’s risk control standard: multiple bigdata-based approaches with intensive sampling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9564857/ https://www.ncbi.nlm.nih.gov/pubmed/36231759 http://dx.doi.org/10.3390/ijerph191912459 |
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