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The Changes Of Thermal Environment Spatial Pattern And Its Relationship With Underlying Surface Of Nanjing In Recent 3 Decades

Posted on:2016-09-29Degree:MasterType:Thesis
Country:ChinaCandidate:Q P WengFull Text:PDF
GTID:2180330470969829Subject:Geography
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In recent years, as a result of global warming and the fast development of urbanization, the high temperature heat is becoming more and more frequent in the worldwide. The urban heat effect is rising, it has a far-reaching influence on the city air quality, energy consumption structure and public health. Besides it has a serious threat to the sustainable development of city. Thermal Environment as an important factor is affecting the city ecological environment quality of City. This thesis used long time series of remote sensing data based on RS and GIS to analysis the change trend of Nanjing urban thermal environment in more than 20 years and the tendency of the urban heat island intensity. In the same time this thesis quantitative analysis the correlation between the land use data and urban thermal environment. After that it quantitative analysis the correlation between land use data and the intensity of heat island. Based on the surface temperature inversion in 2010 and suitability of atlas between 2002 and 2010, it simulates to get the 2018 Nanjing land surface temperature through CA-Markov Model. Finally, according to the city thermal environment problems currently existed in Nanjing, the thesis puts forward the planning suggestions. The main conclusions include:From 1988 to 2010 Nanjing urban heat island effect has increased year by year. The surface temperature of the city river, lakes and large mountain did not change greatly with the change of time. From the view of spatial analysis, the expansion trend of high temperature zone in Nanjing City, in the north of the Yangtze River area is mainly northeast southwest direction. The expansion is On the Yangtze River coast from Pukou district to Liuhe district to the peripheral expansion. The expansion direction of the Jiangnan region is mainly divided into three aspects:one is to the Zijin Mountain-Xuanwu Lake as the center of expansion to the East; the two is along the Yangtze River coast to the southwest direction expansion; three is the Jiangning Dongshan Town and the new Qinhuai River to expand all around. In the eleven grade classification of heat island intensity, only construction land has a change trend more obvious. In the Heat island intensity higher area, construction land area is higher and higher. Characterization of city surface NDISI index and land surface temperature was positive in the correlation, MNDWI and surface temperature of water was negatively related to a certain extent, NDVI and land surface temperature is negatively related to a certain extent. We divided the city for residence, traffic land and industrial land. Through the quantitative analysis found that three types of NDISI add to the same value that temperature rises are industrial land> residence>traffic land. Divided the water for rivers and lakes and reservoirs, we found that MNDWI added to the same value, the temperature lowing are rivers> lakes>reservoirs. Divided the vegetation for woodland, grassland and cultivated land, we found that NDVI added to the same value, the temperature lowing the highest is woodland. Grassland and cultivated land for years of different cooling rate did not show good regulation.To simulate and forecast the city thermal environment using CA-Markov, we found that the Yangtze River to the south area is mainly along the expansion direction along the Yangtze River to the east expansion and the expanse around the Mount Zijin. Besides we found that Yangtze River to the north area, it expanses into one piece from the northeast to southwest direction in Liuhe and Pukou districts. With the analysis and comparison of view in 2002 and 2010, from 2010 to 2018 there is a slow growth trend. The urban heat island effect should be gradually slowed down and will have a improving trend.
Keywords/Search Tags:urban thermal environment, surface temperature, correlation analysis, CA-Markov Model
PDF Full Text Request
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