| Under the dual-carbon background that China is striving to peak carbon dioxide emissions by 2030 and to achieve the goal of carbon neutrality by 2060,cities are the main source of carbon emissions,and the change trend of carbon emissions and the mechanism of action of influencing factors are studied for prediction.Carbon peaks and corresponding countermeasures are of great reference significance.Based on this,reasonable suggestions and measures can be put forward for reshaping urban space,adjusting population policies,and optimizing the energy structure of related enterprises,and providing reference for the construction of near-zero carbon parks and low-carbon cities.Enhance the rationality and constructability of relevant planning.Based on Landsat,NPP-VIIRS and other satellite data,combined with the emission inventory method and the direct carbon emission accounting method based on land use type,this paper calculates the carbon emission data of Hefei City over the years and performs a fitting analysis.Simulation,exploring the spatiotemporal distribution of urban carbon emissions at the micro-scale,expounding its spatiotemporal variation characteristics in the past 15 years,and comprehensively using a variety of geographic analysis tools to conduct correlation analysis: spatial autocorrelation analysis,geographic weighted regression model,etc.Methods,the spatial distribution characteristics,spatial trend characteristics and spatial autocorrelation distribution of carbon emissions in the main urban area of Hefei City from 2012 to 2019 were analyzed.On this basis,the MODIS surface temperature product MOD11A2 was selected to study the correlation between urban surface temperature and carbon emissions.The main findings are:(1)From 2005 to 2020,the affected areas in the main urban area of Hefei(other areas except Lengdao District)have little change and tend to decrease.The main axis of the standard deviation ellipse basically maintains the northeast-southwest trend,and the distribution range of the ellipse expands year by year.The high temperature center points are mostly distributed in the areas with high nuclear density in the industrial area,of which 81.90% of the strong heat island areas are industrial areas with high and high nuclear density,and the strong heat island areas have a good corresponding relationship with them.(2)The total carbon emissions in Hefei increased from 17.8572 million t in 2010 to 37.2427 million t in 2019,an increase of 108.56%.From 2012 to 2018,the carbon emission standard deviation ellipse in Hefei was mainly distributed in the central urban area of Hefei.In 2012,the carbon emission standard deviation ellipse showed a "northeast-southwest" spatial distribution pattern,and in 2014,2016 and 2018,it showed a "northwest-southeast" pattern.Spatial distribution pattern.The spatial trend distribution of carbon emissions in the four years from 2012 to 2018 is quite consistent.In the east-west direction of Hefei City,there are obvious peaks and valleys,with a strong inverted "U"-shaped trend.In the north-south direction,there is a linear increase from north to south.The carbon emissions in the south are significantly higher than north.(3)In the low carbon emission area,the corresponding average nighttime surface temperature is the lowest,and in the moderate carbon emission area,the corresponding average nighttime surface temperature increases.With the increase of carbon emissions,the nighttime surface temperature also rises,and the increase of carbon emissions has become one of the factors that cannot be ignored in the increase of surface temperature in Hefei.The GWR coefficients in different grids are different.On the whole,the carbon emission value is positively correlated with the surface temperature.From a local point of view,the effect of carbon emission values on surface temperature shows a phenomenon of "high in the middle and low in the surrounding areas". |
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