Monitoring of water pollution in the Weihe, Jinghe and Bahe rivers in Shaanxi Province

With urbanization and economic growth, water pollution has become a key factor restricting sustainable urban development. Online water quality monitoring, characterized by automation, flexibility, speed, real-time detection, and in-situ analysis, has become a demand and development trend in urban water quality monitoring. Hyperspectral imagers, capable of acquiring continuous spectral information of target objects, are used in fields such as environmental monitoring. They are advanced remote sensing devices with increasingly widespread applications in environmental monitoring.

Advantages of hyperspectral water pollution monitoring

Hyperspectral imagers have the following advantages in detecting water pollution in rivers and lakes:
1. Rapid acquisition of large-scale water quality information: Hyperspectral imagers can acquire large-scale water quality information in a short time, improving the efficiency and coverage of water quality monitoring.
2. Precise identification of pollutants: By acquiring the spectral information of the target water body, the hyperspectral imager can precisely identify pollutants in the water, such as heavy metals and organic matter, providing strong support for the diagnosis of water pollution problems.
3. Real-time monitoring of water quality changes: Hyperspectral imagers can monitor water quality changes in real time, promptly detect water pollution problems, and provide important data for water pollution early warning and emergency response.

Application methods of hyperspectral water pollution monitoring

1. Data Acquisition and Processing
   When using hyperspectral imagers to detect water pollution in rivers and lakes, the first step is to select appropriate data acquisition equipment and methods to ensure accurate and reliable spectral data. Subsequently, the acquired spectral data needs to be preprocessed, including noise removal and spectral calibration, to improve data quality and accuracy.
   2. Water quality parameter inversion
   By analyzing and inverting the preprocessed spectral data, key water quality parameters, such as chlorophyll a concentration, suspended solids concentration, and transparency, can be obtained. These water quality parameters are correlated with the concentration of pollutants in the water, and by monitoring and analyzing these parameters, the pollution status of the water body can be indirectly inferred.

Application methods of hyperspectral water pollution monitoring

3. Pollutant identification and classification
   Based on the spectral information acquired by the hyperspectral imager, pollutants in water bodies can be further identified and classified. By comparing and analyzing the spectral characteristics of different pollutants, accurate identification and classification of pollutants in water bodies can be achieved, providing strong support for the diagnosis of water pollution problems.
   4. Water pollution assessment and early warning
   After identifying and classifying pollutants in water bodies, a comprehensive assessment of the water pollution status can be conducted. By combining the results of water quality parameter inversion and pollutant identification, a water pollution assessment model can be established to quantitatively evaluate the degree of water pollution. Simultaneously, based on real-time monitoring water quality data and the pollution assessment model, a water pollution early warning system can be constructed to promptly detect water pollution problems and take corresponding countermeasures.

Xi'an Institute of Optics and Precision Mechanics CAS Aerospace Science and Technology Group Co.,LTD - Water Pollution Monitoring

The Xi'an Aerospace team of the Chinese Academy of Sciences used hyperspectral remote sensing technology to monitor the pollution levels of the Weihe River, Jinghe River, and Bahe River in the vicinity of Lantian County and Jingyang County in Shaanxi Province. Analysis of the figures shows that the overall water conditions of the Weihe, Jinghe, and Bahe river basins are in good condition. The water quality of the Jinghe River is relatively better, while the turbidity of some sections of the Bahe River is relatively high, but the overall trend is good. 

Today, hyperspectral imagers, as an advanced remote sensing technology, have broad application prospects and significant practical value in detecting water pollution in rivers and lakes. Through continuous optimization and improvement of related technologies and methods, hyperspectral imagers will play an even more important role in the field of water quality monitoring and protection in the future.