The rapid increase of urban contaminated sites along China’s urbanization during the last 30 years
Summary: Contaminated sites pose serious threats to the soil environment and human health. However, the location and temporal changes of urban contaminated sites across China remain unknown due to data scarcity. Here, we developed a machine-learning model to identify the contaminated sites using pub...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-11-01
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| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004223022010 |
| _version_ | 1797659917043105792 |
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| author | Kai Li Ranhao Sun Guanghui Guo |
| author_facet | Kai Li Ranhao Sun Guanghui Guo |
| author_sort | Kai Li |
| collection | DOAJ |
| description | Summary: Contaminated sites pose serious threats to the soil environment and human health. However, the location and temporal changes of urban contaminated sites across China remain unknown due to data scarcity. Here, we developed a machine-learning model to identify the contaminated sites using public data. Results show that the trained model with 2,005 surveyed site samples and six variables can achieve a model performance evaluation value of 0.86. 43,676 contaminated sites were identified from 83,498 polluting enterprise plots in China. However, these contaminated sites have significant spatiotemporal heterogeneity, mainly located in economically developed provinces, urban agglomerations, and core urban areas. Moreover, the contaminated sites increased by 325% along with urban expansion from 1990 to 2018. The abandoned contaminated sites increased rapidly, but the contaminated sites in production decreased continuously. This methodological framework and our findings contribute to the precise management of contaminated sites and provide insights into urban sustainable development. |
| first_indexed | 2024-03-11T18:22:11Z |
| format | Article |
| id | doaj.art-77d9f18f116b4aa3ba7572a260829df0 |
| institution | Directory Open Access Journal |
| issn | 2589-0042 |
| language | English |
| last_indexed | 2024-03-11T18:22:11Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | iScience |
| spelling | doaj.art-77d9f18f116b4aa3ba7572a260829df02023-10-15T04:38:05ZengElsevieriScience2589-00422023-11-012611108124The rapid increase of urban contaminated sites along China’s urbanization during the last 30 yearsKai Li0Ranhao Sun1Guanghui Guo2State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China; Corresponding authorUniversity of Chinese Academy of Sciences, Beijing 100049, China; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaSummary: Contaminated sites pose serious threats to the soil environment and human health. However, the location and temporal changes of urban contaminated sites across China remain unknown due to data scarcity. Here, we developed a machine-learning model to identify the contaminated sites using public data. Results show that the trained model with 2,005 surveyed site samples and six variables can achieve a model performance evaluation value of 0.86. 43,676 contaminated sites were identified from 83,498 polluting enterprise plots in China. However, these contaminated sites have significant spatiotemporal heterogeneity, mainly located in economically developed provinces, urban agglomerations, and core urban areas. Moreover, the contaminated sites increased by 325% along with urban expansion from 1990 to 2018. The abandoned contaminated sites increased rapidly, but the contaminated sites in production decreased continuously. This methodological framework and our findings contribute to the precise management of contaminated sites and provide insights into urban sustainable development.http://www.sciencedirect.com/science/article/pii/S2589004223022010Earth sciencesEnvironmental sciencePollution |
| spellingShingle | Kai Li Ranhao Sun Guanghui Guo The rapid increase of urban contaminated sites along China’s urbanization during the last 30 years iScience Earth sciences Environmental science Pollution |
| title | The rapid increase of urban contaminated sites along China’s urbanization during the last 30 years |
| title_full | The rapid increase of urban contaminated sites along China’s urbanization during the last 30 years |
| title_fullStr | The rapid increase of urban contaminated sites along China’s urbanization during the last 30 years |
| title_full_unstemmed | The rapid increase of urban contaminated sites along China’s urbanization during the last 30 years |
| title_short | The rapid increase of urban contaminated sites along China’s urbanization during the last 30 years |
| title_sort | rapid increase of urban contaminated sites along china s urbanization during the last 30 years |
| topic | Earth sciences Environmental science Pollution |
| url | http://www.sciencedirect.com/science/article/pii/S2589004223022010 |
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