Identification and risk prediction of potentially contaminated sites in the Yangtze River Delta
文献类型：期刊论文
| 作者 | Jiang, Yefeng1; Huang, Mingxiang2; Chen, Xueyao1; Wang, Zhige1; Xiao, Liujun1; Xu, Kang1; Zhang, Shuai1; Wang, Mingming1; Xu, Zhe3; Shi, Zhou1 |
| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| 出版日期 | 2022-04-01 |
| 卷号 | 815页码:10 |
| 关键词 | Yangtze River Delta Potentially contaminated sites Risk probability zoning Identification Risk prediction |
| ISSN号 | 0048-9697 |
| DOI | 10.1016/j.scitotenv.2021.151982 |
| 通讯作者 | Shi, Zhou(shizhou@zju.edu.cn) |
| 英文摘要 | Identification and risk prediction of potentially contaminated sites (PCS) are crucial for the management of contaminated sites. However, the identification and risk prediction methods of PCS are lacking at a regional scale. Here, we established the fuzzy matching algorithm based on the site's name for identifying PCS in the Yangtze River Delta (YRD) from 2000 to 2020. The results showed that PCS in the YRD increased by over ten times, from 336 in 2000 to 4191 in 2020. Socio-economic and physical geography drive the growth of PCS and its spatiotemporal distribution, while the former has a more significant impact than the latter. We also presented a risk probability zoning strategy based on the source-pathway-receptor model, and proposed the patch-generating land-use simulation model to predict the risk probability of PCS in 2030. The results of risk probability zoning from 2000 to 2020 indicated that the local government of the YRD has started to pay attention to PCS management and risk control while developing social and economic. The results of risk prediction demonstrated that the proportion of low-risk probability pixels is 96.1% in 2030. Therefore, the planned indicator in the Action Plan on contaminated sites established by the State Council of China can be achieved in the YRD. Our experience in identifying and predicting PCS can inform how the local government worldwide manages PCS and tackles future challenges of achieving the ambition of site pollution control. |
| WOS关键词 | ENVIRONMENTAL-PROTECTION ; CHALLENGES ; CHINA ; SIMULATION ; MANAGEMENT ; POLICIES |
| 资助项目 | Key Research and Development Program of Zhejiang Province, China[2020C03011] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000767234500002 |
| 出版者 | ELSEVIER |
| 资助机构 | Key Research and Development Program of Zhejiang Province, China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/171647]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Shi, Zhou |
| 作者单位 | 1.Zhejiang Univ, Coll Environm & Resource Sci, Inst Agr Remote Sensing & Informat Technol Applic, Hangzhou 310058, Peoples R China 2.Informat Ctr Minist Ecol & Environm, Beijing 100035, Peoples R China 3.Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jiang, Yefeng,Huang, Mingxiang,Chen, Xueyao,et al. Identification and risk prediction of potentially contaminated sites in the Yangtze River Delta[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2022,815:10. |
| APA | Jiang, Yefeng.,Huang, Mingxiang.,Chen, Xueyao.,Wang, Zhige.,Xiao, Liujun.,...&Shi, Zhou.(2022).Identification and risk prediction of potentially contaminated sites in the Yangtze River Delta.SCIENCE OF THE TOTAL ENVIRONMENT,815,10. |
| MLA | Jiang, Yefeng,et al."Identification and risk prediction of potentially contaminated sites in the Yangtze River Delta".SCIENCE OF THE TOTAL ENVIRONMENT 815(2022):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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