| Urban thermal environment is an important part of urban ecological environment.The natural landscape is replaced by the urban landscape in space associated with urbanization.The deterioration of the urban ecological environment is caused by urbanization and mitigation of natural green area.The problems of the human settlements environmental quality reduced and energy consumption increased caused by the deterioration of the urbanthermal environment become more and more serious.It is urgent need to establishthermal environment simulation method under the background of urbanization,to accurately predict thermal environment in different patternof urban development scenarios.Based on the prediction result the optimization propose are given for urban space expansion strategy and ecological urban spatial structure.The research on urban thermal environment simulation method are conducted by mesoscale climate modeling software WRF（Weather Research and Forecasting Model）coupled a single urban canopy model（UCM）under the background of urbanization and climate change.First,the urban thermal environment method based on the refinement land use data is established by WRF coupled UCM.Land use data extracted from the Landsat 7 remote sensing data,further use of the NDVI remote sensing data and DMSP/OLS nighttime light remote sensing data to classify the urban land reclassified as high-density urban land use,medium-density and low-density urban land urban land three,to obtain refined land use data.The simulation results of air temperature at 2-m,wind speed at 10-m and temperature space field at 2-m by this method show good agreement to the observations,which can prove the reliability of the simulation method.Secondly,the urban thermal environment of different urban growth scenarios were predicted by simulation and the corresponding optimization strategy were proposed.The urban thermal environment of three urban scenarios based on the urban thermal environment optimization,farmland protection,barren greening and increase the ventilation,were simulated by the urban thermal environment method,and quantitative evaluation of the thermal environment improvement level.The urban thermal environment of different urban sprawl models of along north-south direction and east-westdirection with high,medium and low density total 6 urban scenarios.The urban space optimization strategies and development pattern of urban green space system layout optimization strategy were proposed based on the prediction results.Thirdly,simulate and predict the urban thermal environment in 2032 under the climate change and correspondingurban development coping strategies were proposed.The dynamic downscaling simulation was performed by global climate model MIROC4.0Hires coupled with WRF/UCM under IPCC SRES A1 B emissions scenario in 2032.It can be found that about 2 ℃increased on daytime in 2032 compared with 2012,and the spatial distribution of urban air temperature was changed.Finally,Constructing the urban thermal environment simulation paradigm under the background of climate change and urban expansion.The urban thermal environment of 6 respectively along the north-south direction and the east-west direction with high,medium and low intensity building expansion urban scenarios were simulated under urbanization and climate change in 2032.The urban spatial development strategy were proposed based on the prediction results. |
