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基于分析层次流程,因子分析和模糊综合评估的酸矿排水质量评估复合模型的构建和应用:中国贵州省作为案例

Hang Han¹, Bo Li¹, Lei Yang²

¹Key Laboratory of Karst Georesources and Environment, Ministry of Education, College of Resources and Environmental Engineering, Guizhou University, Guiyang, China.

Water environment research : a research publication of the Water Environment Federation

|February 1, 2024

概括

这项研究开发了一种复合模型来评估酸性矿井排水 (AMD) 水质,发现大多数样本都受到严重污染. 新的AHP-FA-FCE模型为AMD污染地区提供了更准确的评估.

科学领域:

环境科学环境科学
水文地质学水文地质学
评估水质水质的评估.

背景情况:

来自采矿活动的酸性矿井排水污染了地下水.
有效评估AMD污染水质对于生态系统保护至关重要.

研究的目的:

构建一个复合模型来评估AMD水质及其对环境的影响.
评估贵州省四个AMD污染地区的水质和水化学特性.

主要方法:

一种使用因子分析 (FA),分析层次过程 (AHP) 和模糊综合评估 (FCE) 的复合评估模型.
使用FA来提取关键控制因素的水化数据的维度缩小.
权重平均方法和水平特征值 (J) 用于全面评估水质和环境质量.

主要成果:

与传统方法相比,AHP-FA-FCE模型在指标选择,加权和评估方面表现优越.
联邦水务局确定了控制水质的三个主要因素:矿物质氧化,人类活动和矿物质溶解.
矿井水样本主要是V类 (77.78%),具有SO42−-Ca-Mg水化学类型. 总体而言,水体的环境质量在所有研究区域都很差.

结论:

开发的 AHP-FA-FCE 模型为 AMD 水质评估提供了更合理,更准确的方法.
强烈的水岩相互作用和采矿活动被确定为AMD污染的主要驱动因素.
这些发现为AMD影响地区的水质评估提供了理论参考.

关键词:

在这个过程中,AMD是AMD.分析层次的过程过程分析层次的过程.在因子分析的过程中,因素分析.模糊的综合评估.级别特征值的价值级别特征值的价值矿山水的质量矿山水的质量

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