Grid-Scale Regional Risk Assessment of Potentially Toxic Metals Using Multi-Source Data
文献类型：期刊论文
| 作者 | Chen, Mulin1,2; Cai, Hongyan1; Wang, Li3; Lei, Mei4 |
| 刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
 |
| 出版日期 | 2022-08-01 |
| 卷号 | 11期号:8页码:17 |
| 关键词 | fine-scale polluted risk assessment internet data mining cropland vulnerability human health heavy metals contamination management strategies |
| DOI | 10.3390/ijgi11080427 |
| 通讯作者 | Cai, Hongyan(caihy@igsnrr.ac.cn) |
| 英文摘要 | Understanding the risks posed by potentially toxic metals (PTMs) in large regions is important for environmental management. However, regional risk assessment that relies on traditional field sampling or administrative statistical data is labor-intensive, time-consuming, and coarse. Internet data, remote sensing data, and multi-source data, have the advantage of high speed of collection, and can, thereby, overcome time lag challenges and traditional evaluation inefficiencies, although, to date, they are rarely applied. To evaluate their effectiveness, the current study used multi-source data to conduct a 1 km scale assessment of PTMs in Yunnan Province, China. In addition, a novel model to simulate potentially hazardous areas, based on atmospheric deposition, was also proposed. Assessments reveal that risk areas are mainly distributed in the east, which is consistent with the distribution of mineral resources in the province. Approximately 3.6% of the cropland and 1.4% of the sensitive population are threatened. The risk areas were verified against those reported by the government and the existing literature. The verification exercise confirmed the reliability of multi-source data, which are cost-effective, efficient, and generalizable for assessing pollution risks in large areas, particularly when there is little to no site-specific contamination information. |
| WOS关键词 | SOIL HEAVY-METALS ; HEALTH-RISK ; SPATIAL-DISTRIBUTION ; CONTAMINATED SITES ; POLLUTION ; CHINA ; MANAGEMENT ; AREAS ; ZN ; PB |
| 资助项目 | National Key R&D Program of China[2018YFC1800103] |
| WOS研究方向 | Computer Science ; Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000846584100001 |
| 资助机构 | National Key R&D Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/182405]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Cai, Hongyan |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Ctr Environm Remediat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Mulin,Cai, Hongyan,Wang, Li,et al. Grid-Scale Regional Risk Assessment of Potentially Toxic Metals Using Multi-Source Data[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2022,11(8):17. |
| APA | Chen, Mulin,Cai, Hongyan,Wang, Li,&Lei, Mei.(2022).Grid-Scale Regional Risk Assessment of Potentially Toxic Metals Using Multi-Source Data.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,11(8),17. |
| MLA | Chen, Mulin,et al."Grid-Scale Regional Risk Assessment of Potentially Toxic Metals Using Multi-Source Data".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 11.8(2022):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
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