在不同的场景下,生态风险传输网络及其重金属污染土壤生态系统的响应特征在不同的场景下
1School of Geographic Sciences, Hebei Normal University, Shijiazhuang, 050024, China; Key Laboratory of Environmental Evolution and Ecological Construction of Hebei, Hebei Normal University, Shijiazhuang, 050024, China.
Environmental pollution (Barking, Essex : 1987)
|September 11, 2025
概括
本研究引入了基于信息网络分析的生态风险评估框架 (INA-ERA),用于评估土壤中的重金属风险. 严格的环境规则显著提高了生态风险,特别是土壤微生物.
科学领域:
- 环境科学 环境科学
- 生态毒理学 生态毒理学
- 风险评估 风险评估
背景情况:
- 重金属污染带来了生态风险,但传输机制仍然不太清楚.
- 土壤生态系统容易受到重金属污染的影响,影响微生物群落和人类健康.
- 现有的风险评估方法可能无法完全捕捉复杂的传播途径.
研究的目的:
- 开发和验证基于信息网络分析的生态风险评估框架 (INA-ERA).
- 分析土壤中重金属 (As和Ni) 的生态风险传播机制和特征.
- 为了比较严格与温和的环境约束下的生态风险.
主要方法:
- 信息网络分析 (INA) 用于生态风险评估 (ERA).
- 长期短期记忆 (LSTM) 多目标回归用于响应特征建模.
- 使用因子分析进行来源分配.
- 蒙特卡洛模拟用于不确定性分析.
主要成果:
- 来源分配确定了工业生产 (Hg,Cd),车辆排放 (Cu,Pb) 和混合来源 (As,Ni).
- (As) 和 (Ni) 具有最高的致癌风险,特别是对儿童.
- 土壤微生物承担着最高的累积生态风险 (62.50%初始,37.50%传递).
- 在严格的约束条件下,生态风险是宽松约束条件下的3.49倍.
- 风险分布遵循核心-外围模式,中心的度更高.
结论:
- INA-ERA框架有效评估重金属的生态风险和传播.
- 严格的环境法规显著增加了生态风险,强调了需要仔细执行政策的必要性.
- 土壤微生物是重金属风险通路中的关键组成部分.
- 这些发现为管理受污染地点和减轻生态损害提供了科学基础.
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