Study On Cooling Effect And Optimization Strategy Of Urban Rivers Based On Spatial Regression Model

In the context of global warming,urban climate problems such as high temperature heat waves,urban heat islands,and air pollution have become increasingly prominent,which have had a great impact on the living environment of the city.The urban spatial form and landscape design are optimized to alleviate and adapt to these climates.The problem has become a current hot spot,and the cooling effect of the river is an important measure to alleviate the waterfront urban area.In this study,taking the urban area around the Hun River in Shenyang as an example,the satellite inverted land surface temperature and urban morphology data were calculated.The linear regression model and spatial regression model were used to explore the cooling effect of the river and analyze the relationship between urban morphology and surface temperature.The planning and transformation of Shenyang's summer urban high temperature heat wave provides guiding suggestions.The main research contents are as follows:First,sort and analyze the basic data of Shenyang area,use ENVI software to invert Landsat8 infrared satellite remote sensing data,get the typical daily Land Surface Temperature(LST)of Shenyang area in summer,Normalized Difference Vegetation Index(NDVI),and then according to Shenyang LST calculates the intensity of Shenyang's urban heat island.GIS data processing tools are used to calculate the building density(BD),floor area ratio(FAR),mean building height(MH),sky view factor(SVF)and other urban morphological parameters of the Shenyang study area.Then,the distance to the water bodies(DIST)was used as a variable,250m×250m was used as the research unit,and 9 sets of data samples were set up with a stepwise sampling method to verify the cooling effect and cooling range of the Hun River,t Use SPSS and Geo Da to calculate the correlation between urban morphological parameters and LST and establish a spatial regression model.The results of Pearson correlation analysis showed that BD,NDVI and LST had the greatest correlation.BD and LST were positively correlated,with Pearson coefficient of 0.676,NDVI and LST were negatively correlated,Pearson correlation coefficient was-0.672,and MH and LST had the smallest correlation.The results show that the Pearson correlation coefficient and R2 of the 9 sets of data have reversed changes at2500 m.Combined with the fitting curve,the cooling range can reach 4000 m,and the maximum cooling intensity range is 2500m;the Moran index of LST is 0.683,Shows strong spatial autocorrelation.In the 9 sets of spatial regression models established,the regression coefficients R2 are maintained in the range of 0.7?0.77,combined with the Log Likelihood(LL),Akaike Information Criterion(AIC),and Bayesian Information Criterion(BIC)and other parameters indicate that compared with traditional regression models,spatial regression models will avoid the impact of zooming in and out of a certain morphological parameter on LST,and can better analyze the relationship between each morphological parameter and LST.Relationship,in the multiple regression model,NDVI has the greatest impact on LST,while FAR has the least.The results also show that the correlation between each morphological parameter and LST fluctuates greatly in the range of 0?2500m with the change of distance,which further verifies the cooling effect of the river within 2500 m.Next,the residential area of the study area is divided into units of plots,and the residential plots are classified into different combinations based on the number of building floors,and then the surface temperature is superimposed for statistical analysis.The study found that in the combination of waterfront and non-waterfront building forms,all high-rise or high-rise buildings will have a lower temperature,and will have a better climate environment than other building forms.Finally,according to the research results of the previous chapters,corresponding countermeasures are proposed from the aspects of urban planning,architectural design,landscape design and so on.According to the current situation of the study area,the planning is based on the three themes of green ecology,livable and touristy,and diversified charm,from the five aspects of dredging and ventilating valley corridors,increasing the layout of urban green sources,optimizing riverside landscape,reducing the density of buildings in the old city,and optimizing street space.It puts forward corresponding planning and transformation strategies,from macro to micro,establishing multi-dimensional improvement measures for high temperature heat waves,urban heat islands,and improving the quality of urban living.In summary,this article uses multi-disciplinary knowledge to conduct analysis and research,to provide ideas for the thermal environment research in the waterfront area,and to provide corresponding design references for urban planners,architects,and landscape designers to create livable cities.