垃圾填埋场周围的精确管理和控制,整合人工智能和地下水污染风险
Xiao Yang1, Chao Jia1, Yue Yao2
1Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China; Shandong Engineering Research Center for Environmental Protection and Remediation on Groundwater, Jinan, 250014, China.
Chemosphere
|August 26, 2024
概括
垃圾填埋场的液污染了地下水,造成健康风险. 综合方法识别了污染源,并对地下水质量进行了分类,从而为更安全的水资源制定了有针对性的管理策略.
科学领域:
- 环境科学 环境科学
- 水文地质学 水文地质学
- 公共卫生 公共卫生
背景情况:
- 垃圾填埋场对于废物处理至关重要,但对周围的地下水质量构成重大风险.
- 垃圾填埋场的液污染可能导致地下水严重污染和健康危害.
- 对于垃圾填埋场周围的地区,精确的管理策略至关重要.
研究的目的:
- 开发和应用一个全面的方法来识别和评估垃圾填埋场周围的地下水污染.
- 评估垃圾填埋场液的污染潜力及其对地下水质量的影响.
- 评估可能的健康风险,并确定污染源,以加强地下水管理.
主要方法:
- 使用"压力状态响应"框架进行地下水污染评估.
- 使用液污染潜力 (LPI) 指数,权AHP,SAR和Na%进行水质评估.
- 应用蒙特卡洛模拟用于健康风险评估和PCA-APCS-MLR和PMF模型用于来源识别. 集成的SOM和K-means算法用于管理.
主要成果:
- 垃圾填埋场的液被确定为成熟的,含有高度的无机物质,对地下水构成污染风险.
- 在68.14%的研究区域,地下水质量较差或较差,不适合饮用和灌.
- 化物 (Cl-) 是主要的非致癌性健康风险因素;多个污染源被确定,PMF在混合污染地区表现出色.
结论:
- 垃圾填埋场附近的地下水受到重大影响,特定的集群显示出高水的影响.
- 降低污染物度和控制暴露是减轻健康风险的关键策略.
- 综合集群算法 (SOM,K-means) 有效地区分了地下水影响区域,有助于有针对性的管理.
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