Research On Real-time Monitoring Of Water Quality Based On Remote Sensing Technology

Water quality in real-time and dynamic monitoring is a must do job of the current mining area environmental governance. With the development of remote sensing technology, the application of remote sensing technology in environmental monitoring is becoming more and more widely. Remote monitoring technology has the characteristics that monitoring area wide and reflecting information in time which conventional water quality monitoring techniques do not have. Base on the summary of the current research of water environmental remote sensing at home and abroad, taking Huainan Guqiao subsidence waters as the specific research object, using HJ-1A/1B CCD1and CCD2satellite image data, combining with simultaneous water spectral information and water quality monitoring data of Guqiao to establish the remote sensing inversion model of mining subsidence real-time monitoring of water quality for the water environment in Huainan coal mining subsidence. The main conclusions in this paper are as follows:1. Using HandHeld2spectrometer to measure the synchronized spectral information of water. The analyze result of water reflectance curves and environmental satellite band data show that the reflection and absorption peaks and valleys of water reflectance curve and environmental satellites B1, B2, B3and B4bands are in high consistency.2. Using the environmental satellite B1, B2, B3and B4band and band combinations with water total phosphorus (TP), total nitrogen (TN), transparency (SD), permanganate index (CODMn) and chlorophyll a (Chi-a) actual value for correlation analysis to select the best correlation between the indicators established inversion model,at the same time, using the established model to simulate the concentration spatial distribution of each index in the study area. Concentration distribution of each indicator concentration space utilization ARCGIS software simulation of regional spatial interpolation method of distribution, two simulation methods have good consistency. There are good consistency between the method of spatial interpolation of ARCGIS and remote sensing retrieval. Validation data is used to analyze the inversion model of error analyze, the results show that the validation results and the simulation results are close. 3. Carlson comprehensive nutritional index evaluation method and remote sensing inversion model were used to simulate eutrophication status, the simulation results show that the presented Guqiao waters was in nutrition-mild eutrophication-moderate eutrophication state。Evaluation results are consistent with using spatial interpolation of ARCGIS and using the measured data.4. The research indicate that the water environmental remote sensing technology in Huainan coal mining subsidence has a good applicability and popularization, it provided important technical support for the coal mining subsidence monitoring of water quality in real time.