Predicting the risk of arsenic accumulation in soil-rice system in Asian monsoon region
文献类型：期刊论文
| 作者 | Ban, Ruxin2; Yang, Linsheng2; Yu, Jiangping; Wei, Binggan; Yin, Shuhui2 |
| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| 出版日期 | 2024-11-20 |
| 卷号 | 952页码:175896 |
| 关键词 | Arsenic Rice Bioaccumulation factor Machine learning Asian monsoon region |
| DOI | 10.1016/j.scitotenv.2024.175896 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Rice is a staple food for a significant portion of the global population. Arsenic (As) accumulated in rice grains influences rice quality which threatens human health. In this study, we used three machine learning models to predict arsenic accumulation in rice based on over 300 surveys. The prediction results of soil arsenic indicate that high-arsenic soil areas are mainly distributed in South and Southeast Asia such as India, China, and Thailand. In addition, higher bioaccumulation factors (BAF), associated with higher temperature, are predominantly observed in eastern India and southern Myanmar. However, arsenic content in soil is relatively lower in these areas. About 5.5 billion population may be threatened by the consumption of high-arsenic rice. It can be concluded that temperatures may influence the BAF except for soil arsenic, and soil physicochemical properties. Further research on the relationship between climate parameters and BAF should be conducted to address and adapt to future climate change. Additionally, understanding the mechanism of arsenic accumulation under different climatic conditions is crucial for developing agricultural technologies to reduce arsenic accumulation in rice. |
| WOS关键词 | ORYZA-SATIVA L. ; HUMAN EXPOSURE ; WEST-BENGAL ; HEALTH-RISK ; PADDY RICE ; CONTAMINATION ; GROUNDWATER ; BIOACCUMULATION ; SPECIATION ; DISTRICT |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS记录号 | WOS:001309190100001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/207970]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ban, Ruxin,Yang, Linsheng,Yu, Jiangping,et al. Predicting the risk of arsenic accumulation in soil-rice system in Asian monsoon region[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2024,952:175896. |
| APA | Ban, Ruxin,Yang, Linsheng,Yu, Jiangping,Wei, Binggan,&Yin, Shuhui.(2024).Predicting the risk of arsenic accumulation in soil-rice system in Asian monsoon region.SCIENCE OF THE TOTAL ENVIRONMENT,952,175896. |
| MLA | Ban, Ruxin,et al."Predicting the risk of arsenic accumulation in soil-rice system in Asian monsoon region".SCIENCE OF THE TOTAL ENVIRONMENT 952(2024):175896. |
入库方式： OAI收割
来源：地理科学与资源研究所
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