| 内陆水体水质参数遥感监测进展与挑战 |
| 摘要点击 100 全文点击 3 投稿时间：2024-06-13 修订日期：2024-08-30 |
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| 中文关键词 遥感 水质参数 内陆水体 水质监测 水环境 |
| 英文关键词 remote sensing water quality parameters inland water bodies water quality monitoring water environment |
| DOI 10.13227/j.hjkx.20250718 |
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| 中文摘要 |
| 近年来，内陆水体污染已成为危害水生生态系统、水资源和人类健康的最重要问题之一，精确且动态地监测内陆水体的水质状况对于采取最有效和最紧迫的污染防护措施至关重要. 遥感技术因其时空优势而被广泛应用于内陆水体水质监测中，可以实现对水质的长期、快速和动态的监测，并有助于揭示常规方法难以发现的污染物及污染物的迁移特征. 然而，水质参数遥感监测在数据的同步性、反演机制的明晰性、反演算法的时空局限性、反演模型鲁棒性和大气校正的精确性等方面提出了严峻的挑战. 因此，通过定量和定性地重新审视现有的内陆水体水质参数反演文献，以数据源、监测方法和监测指标等为切入点，对内陆水体水质参数遥感监测领域的演变规律与发展趋势进行探究，梳理常用的遥感数据源和水质监测方法，明晰各方法的基本理念和应用场景，分析各方法的优点和不足，反思机遇和挑战. 并进一步提出未来内陆水体水质参数遥感监测应围绕遥感数据精细化、监测平台一体化、监测技术规范化和水质模型集成化等方面开展工作，深入参与遥感水质监测研究和实践，加速新技术和方法的整合，可为推动该领域的发展提供有力的科学支撑. |
| 英文摘要 |
| In recent years， pollution of inland water bodies has become a major problem jeopardizing aquatic ecosystems， water resources， and human health. Accurate and dynamic monitoring of the water quality status of inland water bodies is important for taking the most effective and urgent pollution protection measures. Remote sensing technology is widely used in water quality monitoring of inland water bodies because of its spatial and temporal advantages， which can realize long-term， rapid， and dynamic monitoring of water quality and help to reveal the characteristics of pollutants and pollutant migration that are difficult to detect by conventional methods. However， remote sensing monitoring studies of water quality pose serious challenges in terms of data synchronization， clarity of inversion mechanisms， spatial and temporal limitations of inversion algorithms， robustness of inversion models， and accuracy of atmospheric corrections. Therefore， the evolution patterns and development trends of remote sensing monitoring of inland water quality parameters will be explored by taking data sources， monitoring methods， monitoring indicators， etc.， as breakthrough points. We sort out the frequently used remote sensing data sources and remote sensing water quality monitoring methods， clarify the basic principles and application scenarios of each method， analyze the strengths and weaknesses of each method， and reflect on the opportunities and current challenges. On the basis of the above analysis， we propose that future research on remote sensing monitoring of water quality parameters in inland water bodies should be centered on the refinement of remote sensing data， integration of monitoring platforms， standardization of monitoring techniques， and integration of water quality models. In the future， we should deeply participate in the research and practice in water quality monitoring using remote sensing， accelerate the integration of new technologies and methods， and provide strong scientific support to promote the development of this field. |
