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使用水质指数和多变量统计技术评估印度甘河的水质
Sandeep Kumar Mishra1, Vikas Kumar1, Jeetendra Kumar1
1ICAR-Central Inland Fisheries Research Institute 24, Panna Lal Road, Prayagraj, 211002, Uttar Pradesh, India.
Environmental monitoring and assessment
|February 4, 2025
概括
甘河是一条河流.
科学领域:
- 环境科学 环境科学
- 水资源管理 水资源管理
- 水化化学 水化化学
背景情况:
- 尽管有政府的举措,但甘河的水质正在恶化.
- 可持续的河流管理需要持续评估水质.
- 恢复甘河的生态平衡至关重要.
研究的目的:
- 为了对甘河的水质进行时空空间分析.
- 用水化学变量,水质指数 (WQI) 和多变量统计数据来评估水质.
- 确定影响水质恶化的因素.
主要方法:
- 从四个区域 (上,中,下,河口) 的20个地点收集了220个水样.
- 分析了20个水化学变量,计算了WQI,并应用了多变量统计技术.
- 利用主要成分分析 (PCA) 来识别污染源.
主要成果:
- 从上层到河口区域的水质普遍恶化.
- 河口区域呈现出高水平的总硬度,盐度和溶解固体,超过饮用水限制.
- 在WQI指标中,上层区域的水是干净的,中/下层区域的水是不干净的,河口区域的水不适合饮用.
- 季节性变化显示季风是污染最少的,季风后是轻微污染的,冬季/季风前是污染的.
- PCA确定了潮影响,气象因素,自然/人为过程以及农业/污水排放作为污染的主要原因.
结论:
- 多变量统计技术是有效的了解水质的变化.
- 潮影响和人为活动显著影响甘河的水质,特别是在河口区.
- 需要有针对性的管理策略来解决特定的污染源,并改善河流的整体健康.
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