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使用多变量分析对地表水质量参数的评估 - - 库里奇和科因巴图尔大湖的一个案例研究
Venkatraman Yogeshwaran1, Arunkumar Priya2
1School of Building and Civil Engineering, CETVET, Fiji National University, Suva, Fiji.
概括
印度的地表水质量
科学领域:
- 环境科学 环境科学
- 水资源管理 水资源管理
- 分析化学 分析化学
背景情况:
- 工业化和城市化越来越降低了发展中国家的水质.
- 城市湖泊面临着严重的污染挑战,需要先进的分析方法.
- 有限的研究系统地分析城市湖泊中的多种污染物,使用多变量统计数据.
研究的目的:
- 为了评估库里奇湖和印度科因巴图尔的大湖的地表水质.
- 用多变量统计技术识别主要污染源并评估污染水平.
- 为改善水资源管理和污染控制提供见解.
主要方法:
- 在一年内收集了12个水样,用于物理化学,微生物学和离子分析.
- 应用主要组件分析 (PCA),因子分析 (FA),Piper图形和集群分析 (CA).
- 使用了对污染物相互依赖的皮尔森相关矩阵和水质指数 (WQI) 来根据世卫组织和BIS标准进行严重性评估.
主要成果:
- 来自PCA的三个主要成分解释了这两个湖泊的显著差异 (68.42%Kurichi,42.81%大湖).
- 因子分析确定有机物,工业排放,肥料排放和未经处理的废水是主要污染物.
- 库里奇湖的水质明显低于大湖,工业区附近污染严重.
结论:
- 多变量统计分析有效地确定了城市湖泊中的污染源和污染水平.
- 有机化合物,人类活动,肥料,化学废物和废水排放是主要的污染物.
- 迫切需要加强废水管理和污染控制政策,以保护水产健康和公共福祉.
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