相关实验视频

Updated: Jun 10, 2025

Clean Sampling and Analysis of River and Estuarine Waters for Trace Metal Studies

Clean Sampling and Analysis of River and Estuarine Waters for Trace Metal Studies

Published on: July 1, 2016

评估饮用水质量,并确定矿开采地区的污染源

Amin Mohammadpour¹, Ehsan Gharehchahi², Majid Amiri Gharaghani²

¹Research Center for Social Determinants of Health, Jahrom University of Medical Sciences, Jahrom, Iran.

Journal of hazardous materials

|October 11, 2024

概括

在矿附近的饮用水中,有等有毒元素的污染,对健康构成重大风险. 机器学习确定了关键污染物,确认的风险超过了所有年龄组的安全水平,需要紧急缓解.

科学领域:

环境科学环境科学
评估水质水质的评估.
毒理学毒理学毒理学

背景情况:

采矿活动对水源因有毒元素的污染构成重大威胁.
在受采矿影响的地区,评估饮用水质量和相关的人体健康风险至关重要.

研究的目的:

通过机器学习评估饮用水质量,并识别矿附近的污染源.
评估与水污染相关的人类健康风险,使用确定性和概率方法.

主要方法:

采用机器学习 (ML) 技术,包括额外树木 (ET) 算法,用于预测水质指数 (WQI).
使用未加权根平均平方 (RMS-WQI) 和加权平方平均 (WQM-WQI) 进行水质分类.
应用主要组件分析 (PCA) 用于参数聚类和蒙特卡洛模拟用于健康风险评估.

主要成果:

高度的 (Ca), (Cr), (Li), (Mg) 和 (Na) 超过了安全标准.
所有的水样都被RMS-WQI和WQM-WQI分类为"公平"质量.
额外树木 (ET) 模型确定了Mg和 (Sr) 作为WQI的关键预测因素.
卫生风险评估表明,所有年龄组的非致癌和致癌风险水平都是不可接受的,Cr和 (As) 是主要的贡献者.

结论:

克罗米特矿附近的饮用水质量受到损害,对健康构成重大风险.
需要采取紧急缓解措施,包括99%降低关键污染物度.
机器学习有效地识别了污染源并预测了水质,有助于风险评估.

关键词:

致癌的风险致癌的风险克罗米特矿是我的一个矿山.伊朗伊朗伊朗伊朗机器学习是机器学习.蒙特卡洛模拟的蒙特卡洛模拟 "水资源管理战略"就是水资源管理的战略.水的质量水的质量

更多相关视频

Removal of Trace Elements by Cupric Oxide Nanoparticles from Uranium In Situ Recovery Bleed Water and Its Effect on Cell Viability

Removal of Trace Elements by Cupric Oxide Nanoparticles from Uranium In Situ Recovery Bleed Water and Its Effect on Cell Viability

Published on: June 21, 2015

Preparation and Testing of Impedance-based Fluidic Biochips with RTgill-W1 Cells for Rapid Evaluation of Drinking Water Samples for Toxicity

Preparation and Testing of Impedance-based Fluidic Biochips with RTgill-W1 Cells for Rapid Evaluation of Drinking Water Samples for Toxicity

Published on: March 7, 2016

相关概念视频

Precipitation and Co-precipitation

Precipitation and Co-precipitation

Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...