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<p>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.</p>

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Integrating potential bioavailable heavy metals and two-dimensional Monte Carlo simulation for a refined source-specific probabilistic ecological risk assessment in Poyang Lake Sediments

  • 期刊论文

  • 发表日期：

    2026年3月20日

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  • Guanghui Guo,
  • Ruiqing Zhang

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.