Integrating potential bioavailable heavy metals and two-dimensional Monte Carlo simulation for a refined source-specific probabilistic ecological risk assessment in Poyang Lake Sediments
文献类型：期刊论文
| 作者 | Guo, Guanghui1,3; Zhang, Ruiqing2 |
| 刊名 | ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
 |
| 出版日期 | 2026-03-20 |
| 卷号 | 48期号:6页码:246 |
| 关键词 | Bioavailability Heavy metals Source-specific ecological risk Poyang Lake |
| ISSN号 | 0269-4042 |
| DOI | 10.1007/s10653-026-03142-7 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Source-specific probabilistic ecological risk assessment (PERA) of heavy metals (HMs) enhances risk management strategies. However, conventional methods, relied on total concentrations and deterministic parameters, may introduce considerable bias due to ignoring bioavailability and uncertainty. To address these limitations, this study conducted both concentration- and source-specific PERAs for HMs in Poyang Lake sediments using their bioavailable fractions and two-dimensional Monte Carlo simulation. Results reveled significant Cd pollution in sediments. Chemical speciation analyses indicated Cd (58.45% acid-soluble fraction) and As (36.96% specifically adsorbed fraction) exhibited high bioavailability, whereas Cr, Cu, Ni, Pb, and Zn were predominantly associated with residual fraction (48.55%-89.07%). Source apportionment identified three primary sources: mining/smelting, mixed sources, and industrial activities, with contribution of 26.87%, 34.55%, and 38.58%, respectively. Notably, mining/smelting was identified as the primary sources (77.68%), and As, Cd, and Pb emerged as targeted elements of concern. Incorporating bioavailable HMs into PERA reduced overall ecological risks by 38.09% compared to total concentration-based PERA. Corresponding source-specific ecological risk reductions were 39.21%, 42.11%, and 47.47% for mining/smelting, mixed sources, and industrial activities, respectively. This study highlights the importance of incorporating HM bioavailability and probabilistic analysis into ecological risk assessment framework for achieving accurate and realistic evaluation. |
| URL标识 | 查看原文 |
| WOS关键词 | POLYCYCLIC AROMATIC-HYDROCARBONS |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Public, Environmental & Occupational Health ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001719789100003 |
| 出版者 | SPRINGER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221294]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 通讯作者 | Guo, Guanghui |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 2.Inner Mongolia Univ, Sch Ecol & Environm, Hohhto 010021, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Guo, Guanghui,Zhang, Ruiqing. Integrating potential bioavailable heavy metals and two-dimensional Monte Carlo simulation for a refined source-specific probabilistic ecological risk assessment in Poyang Lake Sediments[J]. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH,2026,48(6):246. |
| APA | Guo, Guanghui,&Zhang, Ruiqing.(2026).Integrating potential bioavailable heavy metals and two-dimensional Monte Carlo simulation for a refined source-specific probabilistic ecological risk assessment in Poyang Lake Sediments.ENVIRONMENTAL GEOCHEMISTRY AND HEALTH,48(6),246. |
| MLA | Guo, Guanghui,et al."Integrating potential bioavailable heavy metals and two-dimensional Monte Carlo simulation for a refined source-specific probabilistic ecological risk assessment in Poyang Lake Sediments".ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 48.6(2026):246. |
入库方式： OAI收割
来源：地理科学与资源研究所
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