星地协同水质光谱在线监测系统及应用研究

Spectral Monitoring Online System for Water Quality Assessment Based on Satellite-Ground Data Integration

随着城市化发展和经济增长,水污染成为制约城市可持续发展的关键因素。传统的水质检测方法耗时长、容易造成二次污染,水质在线监测可实现水质的自动、快速、实时、原位检测,而卫星数据可为大范围、长时序的水质监测提供数据源。本文以中国内陆水体实时在线监测需求为出发点,将水质光谱在线监测系统和多源遥感数据结合起来,开展星地协同水质监测系统研发及应用研究,同时与地面实时在线监测数据进行数据交叉验证,提升长时序、大范围水域水质参数反演的精度和稳定性。作者团队基于光谱分析技术,研制出固定式智能水质检测仪、便携高光谱智能水质检测仪。这些仪器设备可用于野外快速进行水质检测、非移动定点水质检测、固定浮标监测和大数据云服务平台系统应用。

With urbanization and economic growth,water pollution has become a key factor that restricts the sustainable development of cities.Traditional water quality monitoring methods are time-consuming and can easily cause secondary pollution.Online water quality monitoring can automatically and rapidly display water quality in place and in real time,and satellite data can provide sources for large-scale and long-term water quality monitoring assessments.Based on the demand for real-time online monitoring of inland water in China,this study combined a water quality spectral monitoring online system with multisource remote sensing data to research and assess the application of a satellite–ground integrated water quality monitoring system and improve the accuracy and stability of water quality parameter inversion over a long duration and on a large scale by data cross-validation with real-time ground monitoring data.