Potential Risk Recognition of Agricultural Land Based on Agglomeration Characteristics of Pollution-Related Enterprises: A Case Study on the Black Soil Region in Northeast China
文献类型:期刊论文
作者 | Zhao, Xiaofeng1,2,3; Wei, Changhe4; Liu, Jiufen1,2,3; Liu, Xiaohuang1,3; Wan, Xiaoming5,6; Lei, Mei5,6; Wang, Shaobin5,6 |
刊名 | SUSTAINABILITY
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出版日期 | 2024 |
卷号 | 16期号:1页码:20 |
关键词 | black soil region potential pollution risk pollution-related enterprises multi-source geographical big data |
DOI | 10.3390/su16010417 |
通讯作者 | Wei, Changhe(weichanghe@hebeu.edu.cn) ; Liu, Jiufen(liujiufen@mail.cgs.gov.cn) |
英文摘要 | The black soil region in Northeast China serves as a ballast for food security. However, the presence of scattered polluting enterprises poses a threat to the safety of the surrounding soil and agricultural products. In this study, the distribution patterns and agglomeration features of key industrial enterprises in Northeast China were elucidated through multi-source geographical big data and geographic information system (GIS) spatial analysis. Subsequently, the risk areas were extracted based on their potential impact on the soil environmental quality of the surrounding agricultural lands. The results revealed that pollution-related enterprises were widely distributed but locally clustered in the black soil area. The dominant industries were chemical manufacturing, petroleum processing, coking, and non-ferrous metal mining. The study found that the agricultural land area affected by polluting enterprises was 43,396.13 km2, with the majority being at a low-risk level (83.42%). High-risk areas (1646.62 km2) were mostly aggregated west of Hulunbuir, east of Xilingol, and in most of Chifeng. These areas were primarily affected by the non-ferrous metal mining industry. Other high-risk hotspots were mainly influenced by the chemical manufacturing and metal processing industries. The emissions from industrial and mining enterprises are important heavy metals in the agricultural lands in this region. However, it is important to note that there are other sources of pollution as well. These results may contribute to future investigations on soil environmental quality and pollution source control in the black soil region in Northeast China. |
WOS关键词 | HEAVY-METALS ; SPATIAL-DISTRIBUTION ; CONTAMINATED SITES ; ACCUMULATION ; CADMIUM ; PATTERN ; TREND ; AREA |
资助项目 | National Natural Science Foundation of China |
WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:001140525000001 |
出版者 | MDPI |
资助机构 | National Natural Science Foundation of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/201981] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Wei, Changhe; Liu, Jiufen |
作者单位 | 1.China Geol Survey, Comprehens Survey Command Ctr Nat Resources, Beijing 100055, Peoples R China 2.China Univ Geosci Beijing, Sch Earth Sci & Resources, Beijing 100083, Peoples R China 3.Key Lab Coupling Proc & Effect Nat Resources Eleme, Beijing 100055, Peoples R China 4.Hebei Univ Engn, Sch Min & Geomat Engn, Handan 056038, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Zhao, Xiaofeng,Wei, Changhe,Liu, Jiufen,et al. Potential Risk Recognition of Agricultural Land Based on Agglomeration Characteristics of Pollution-Related Enterprises: A Case Study on the Black Soil Region in Northeast China[J]. SUSTAINABILITY,2024,16(1):20. |
APA | Zhao, Xiaofeng.,Wei, Changhe.,Liu, Jiufen.,Liu, Xiaohuang.,Wan, Xiaoming.,...&Wang, Shaobin.(2024).Potential Risk Recognition of Agricultural Land Based on Agglomeration Characteristics of Pollution-Related Enterprises: A Case Study on the Black Soil Region in Northeast China.SUSTAINABILITY,16(1),20. |
MLA | Zhao, Xiaofeng,et al."Potential Risk Recognition of Agricultural Land Based on Agglomeration Characteristics of Pollution-Related Enterprises: A Case Study on the Black Soil Region in Northeast China".SUSTAINABILITY 16.1(2024):20. |
入库方式: OAI收割
来源:地理科学与资源研究所
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