Dynamic Monitoring And Evaluation Of Black And Odorous Water Body In Harbin Based On GF-2

With the rapid development of urbanization and industrialization,a large amount of untreated production and living wastewater is discharged into rivers,which leads to the deterioration of water environment,eutrophication of water bodies,and even black and smelly phenomenon in some rivers,which seriously affects residents’ lives and damages the ecological environment.In most cities of our country,the phenomenon of black and smelly water bodies is widespread and becomes an urban disease.The monitoring and treatment of black and odorous water bodies has become an urgent matter to be solved.The traditional manual monitoring method has high cost and low efficiency,and can’t realize real-time and continuous monitoring of water environment.The development of remote sensing technology provides a new idea for water environment monitoring,and its high efficiency,low cost and large-scale real-time dynamic monitoring provides powerful technical support for the monitoring and evaluation of black and odorous water bodies.At present,there is little research on monitoring black and odorous water bodies by remote sensing.Most black and odorous water bodies have narrow rivers,which require high spatial resolution of remote sensing images.Most black and odorous stones are difficult to be effectively identified by remote sensing satellites.The rapid development of China’s self-developed satellite series with high spatial resolution and high resolution provides data support for remote sensing monitoring of black and odorous water bodies,making it possible to monitor black and odorous water bodies for a long time and in a wide range through remote sensing images.In this paper,the water body in Songbei District,Harbin,Heilongjiang Province is taken as the research object,Zhaolan Xinhe River is selected as the representative of rural black and odorous water body,Zhongyuan Avenue and Songhua River tributaries are selected as the representatives of urban light black and odorous water body,and comprehensive field experiments are carried out.Based on field data and laboratory measurement data,combined with measured hyperspectral data and high-resolution multispectral image data,a black and odorous water body identification model suitable for this research area is constructed.The main research results and conclusions of this paper are as follows:（1）According to different types of black and odorous water bodies,the corresponding spectral reflectance characteristics are analyzed respectively.Based on high-resolution multispectral images and measured data,a BOIM identification model is constructed,and compared with other models,it is proved that the model proposed in this paper has a good identification effect on black and odorous water bodies in the study area.（2）In view of the river section without measured water quality data in previous years,based on the river section with measured water quality data in,the BOMRI identification model based on remote sensing multispectral image data is constructed.By substituting the river section with the known water body category into the model,it is found that the recognition effect is good.To verify the regional applicability of BOMRI model,Xiaoheli River and Songhua River water bodies with known water bodies in hegang,Heilongjiang Province were substituted into the model for verification,and the identification results were basically consistent with the known water bodies.It is considered that BOMRI identification model can realize the monitoring and evaluation of black odor in river section in the absence of measured water quality.