Research On The Impact Of Straw Burning On Air Quality In Typical Cities Based On Remote Sensing Data

In recent years,my country’s agricultural production technology has developed rapidly,crop yields have increased significantly,and straw yields have also increased.However,the current technology for comprehensive development and utilization of straw in my country is not mature enough,and a large amount of straw cannot be properly treated every year,and straw burning has become the main choice for farmers to treat straw.Pollutants such as SO_X,NO_X,and fine particulate matter released during the straw burning process are important components of air pollution and have a negative impact on health and the ecological environment.Conventional observations have the characteristics of poor timeliness and inaccurate collection of straw burning location and burning range.The GF-4 geostationary satellite has the advantages of high observation frequency and large image coverage.Using the GF-4image data to monitor straw burning in real time,it can obtain information such as the number and location of fire points in a relatively fast time,and prohibit straw Burning and air treatment play a key role.This study is based on the research of monitoring the straw burning before spring plowing in the industrial city of Daqing and the non-industrial city of Suihua in the study area,and analyzes the influence of straw burning on air quality.The research work done in this article is as follows:（1）Study on the extraction of fire points of straw incineration from the image data of GF-4 In this study,the mid-wave infrared band of the GF-4 satellite was used as the main data source for fire point monitoring,and the brightness temperature results were obtained through remote sensing inversion.On this basis,an appropriate threshold was selected for fire point screening and fire points were extracted;finally,it passed the cultivated land of Heilongjiang Province The spatial distribution information limits the extracted fire points,and excludes non-stalk burning fire points.Through this study,the VIIRS fire point data product and the newly-added fire site of straw incineration were used to verify the accuracy of the extracted fire points of straw incineration.The results show that the fire points extracted by GF-4 have a good correlation with the VIIRS fire point data products,and the newly added fire traces verify that the accuracy of the fire points extracted by GF-4 reaches 81.8%.（2）Comparative analysis of the impact of straw burning on air quality in different types of cities.Based on the remote sensing extraction of fire point information and the air quality index（AQI）in the study area,the impact of straw burning on the air quality of different types of cities is comparatively analyzed,in order to provide theoretical basis and data support for atmospheric environmental monitoring and even environmental governance of different types of cities.This paper uses buffer analysis and Pearson correlation analysis to study the impact of straw burning on air quality in different types of cities.On this basis,this article further analyzes the main pollutants emitted during the straw burning process and the impact of meteorological factors on air quality.The results show that the correlation between the number of straw burning fires and AQI in non-industrial cities represented by Suihua is greater than that of industrial cities represented by Daqing City;the number of straw burning fires in Suihua is related to PM_2.5,PM₁₀and CO in the atmosphere.The concentration correlation is the highest,and the correlation with the concentration of NO₂and SO₂is relatively weak.There is no O₃generation during the incineration process;the wind speed and humidity are negatively correlated with AQI,and the temperature is positively correlated.Considering the wind direction and meteorological conditions,the straw burning pollutants After the impact,it was found that the correlation coefficient of Suihua City fluctuates in a small range,and Daqing City,as an industrial city,emits a large amount of industrial waste gas and other conditions have caused the correlation coefficient to drop slightly.