在伊朗达拉布县使用确定性和概率方法评估水质指数和健康风险;用于化物预测的机器学习
Amin Mohammadpour1, Mahsa Keshtkar2, Mohammad Reza Samaei3
1Department of Environmental Health Engineering, School of Public Health, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Chemosphere
|February 9, 2024
概括
达拉布县的水质显示了总硬度和TDS的提高. 虽然水质指数 (WQI) 一般很好,但化物对其产生重大影响,需要改进水处理和可持续实践.
科学领域:
- 环境科学 环境科学
- 水资源管理 水资源管理
- 公共卫生 公共卫生
背景情况:
- 评估水质对于公共卫生和环境保护至关重要.
- 了解水污染的来源,包括人为和地质因素,至关重要.
- 伊朗达拉布县现有的水质需要详细调查.
研究的目的:
- 使用确定性和概率方法确定水质指数 (WQI).
- 评估与饮用水消费相关的健康风险.
- 使用机器学习预测水污染水平.
主要方法:
- 在水质指数 (WQI) 计算中采用确定性和概率方法.
- 利用人工神经网络 (ANN) 进行污染预测.
- 使用确定性方法和蒙特卡洛模拟进行健康风险评估 (HRA).
主要成果:
- 79%的总硬度 (TH) 和21.74%的总溶解固体 (TDS) 超过了允许的限制.
- WQI为94.56% (确定性),98.4%的样本是优秀/良好的 (概率).
- 化物 (F) 是影响WQI的主要因素; pH,酸盐 (NO3) 和TDS预测了F的度.
结论:
- 人类和地质因素影响水质.
- 虽然有些地区会造成健康风险,但蒙特卡洛模拟显示不同年龄组的危险指数 (HI) 范围通常是可以接受的.
- 建议包括加强水处理,规范化物,促进可持续农业和持续监测.
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