基于模糊的全球水质评估和使用卫星数据识别水质细胞
Jayaraj Dilipkumar1, Palanisamy Shanmugam1
1Ocean Optics and Imaging Laboratory, Department of Ocean Engineering, Indian Institute of Technology Madras, Chennai 600036, India.
Marine pollution bulletin
|June 16, 2023
概括
一个新的通用水质指数 (WQI) 模型使用模糊逻辑来准确地从遥感数据中评估水质. 这种方法克服了特定地点的局限性,使水资源的有效管理成为可能.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 评估水质水质的评估.
背景情况:
- 传统的现场水质监测是耗时且有限的.
- 现有的遥感WQI模型通常是特定于特定地点的,导致沿海和内陆水域的错误.
研究的目的:
- 开发一个通用水质指数 (WQI) 模型,使用模糊逻辑进行基于遥感的精确水质评估.
- 创建"水质细胞" (WQcells),表示水质主要参数.
主要方法:
- 使用新的遥感模型估计了Chl,TSS和aCDOM443.
- 开发的通用指数:热带状态指数 (TSI),总悬浮固体指数 (TSSI) 和CDOM指数 (CI).
- 利用基于Mamdani的模糊推理系统 (FIS) 来推导WQI并分析参数贡献.
主要成果:
- FIS模型有效地处理了具有不同单位和重要性的参数.
- 在全球各个地区,已识别出由繁花,TSS或CDOM主导的WQ细胞.
- 时间序列分析揭示了印度沿海水域由于季风造成的周期性季节性变化.
结论:
- 一般化的WQI模型提供了一种具有成本效益和准确的方法来监测地表水质量.
- 该方法支持对各种水生环境进行有效的水资源管理.
- 在不同海洋地区确定了水质特征.
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