遥感技术在水质监测中的应用:从传统方法到人工智能
Yuan Sun1, Denghui Wang1, Lei Li2
1State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China.
Water research
|October 6, 2024
概括
遥感和人工智能 (AI) 为水质监测提供了强大的工具,可有效估计甲和悬浮物质等参数. 本综述探讨了传统和人工智能驱动的方法,强调了智能水质评估的未来研究方向.
科学领域:
- 环境科学 环境科学
- 遥感技术 遥感技术 遥感技术
- 水质管理水质管理
背景情况:
- 定量水质监测面临着传统方法无法有效解决的挑战.
- 遥感可以为水质特征提供大规模的实时数据采集.
- 人工智能 (AI) 可以在光谱数据中建模复杂的非线性关系,用于评估水质.
研究的目的:
- 为水质参数检索提供远程传感应用的全面审查.
- 涵盖传统和基于人工智能的方法,用于估计9个关键水质参数.
- 确定未来在自动化和智能化水质遥感方面的研究需求.
主要方法:
- 对实证带比,分析生物光学和半实证三带模型的审查.
- 探索人工智能驱动的方法来分析光谱数据和水质度.
- 对甲基,植物,TSM,CDOM和五种非光学活性成分 (NOACs) 的遥感应用的分析.
主要成果:
- 遥感有效地检索水质参数,克服了传统监测的局限性.
- 人工智能显著提高了模拟复杂光谱度关系的能力.
- 该审查综合了当前的方法,并确定了九个关键的水质参数.
结论:
- 遥感与人工智能相结合,为智能水质监测提供了一个有希望的路线图.
- 需要进一步的研究来解决这些技术应用中的五个主要问题.
- 本综述支持研究人员和管理人员推进自动化和智能化水质遥感技术.
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