2014Geo-information ScienceRequires access

Analysis of Urban Heat Island Environment in a Valley City for Policy Formulation: A Case Study of Xining City in Qinghai Province of China

Jia We

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Abstract

Urban thermal environment is an important part of urban ecosystem, and urban heat island(UHI) effect directly reflects the climate characteristics of the city. It has an important practical significance to analyze comprehensively the urban heat island for studying urban air temperature change resulting from urbanization and environment change, and protecting urban eco-environment.Taking the valley city of Xining as a case study area, six Landsat 5 TM scenes were adopted from USGS website, and meteorological station data were obtained from China Meteorological Data Sharing Service System respectively. Firstly, the six Landsat 5 TM scenes were preprocessed by using ArcGIS 10.0 and ENVI 5.0 and the meteorological station data was processed using EXCEL software. Secondly, based on mono-window algorithm, the land surface temperature(LST) of the study area was retrieved. Then, all LST retrieval results obtained from the six Landsat 5 TM scenes were normalized to0-1 for comparing the temporal differences of varied urban heat island. Thirdly, all normalized results were divided into five equal interval levels based on density separation technology of ENVI 5.0 software. Finally, the correlations between LST and NDVI as well as LST and NDBI were analyzed respectively. The results show that an obvious urban heat island effect exists in Xining city from 1996 to 2011. In addition, the spatial distribution pattern and extension of the urban heat island is consistent with urban sprawl. The urban heat island area is respectively 54.2 km2in August 1996, 85.9 km2in July 2001, 147.1 km2in July 2007, 166.7 km2in March 2009,148.9 km2in July 2010, and 158.7 km2in September 2011, showing an expanding trend from 1996 to 2011 in general. Specifically, the heat island area has reduced substantially in the low and medium LST sub- region,whereas the heat island area has increased significantly in the high LST sub-region. The heat island effect is the strongest in winter, and it decreases evidently in the summer, then the autumn. In the spatial pattern of valley city, the land surface temperature is negatively correlated with NDVI, and positively correlated with NDBI. According to the spatio-temporal evolution of urban heat island, with the adoption of analysis of causes and strategic thinking, the constructive strategies and measures to alleviate urban heat island effect are proposed from different aspects, thus providing a scientific reference for decision making to improve the thermal environment of Xining City in the future.

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Urban thermal environment is an important part of urban ecosystem, and urban heat island(UHI) effect directly reflects the climate characteristics of the city. It has an important practical significance to analyze comprehensively the urban heat island for studying urban air temperature change resulting from urbanization and environment change, and protecting urban eco-environment.Taking the valley city of Xining as a case study area, six Landsat 5 TM scenes were adopted from USGS website, and meteorological station data were obtained from China Meteorological Data Sharing Service System respectively. Firstly, the six Landsat 5 TM scenes were preprocessed by using ArcGIS 10.0 and ENVI 5.0 and the meteorological station data was processed using EXCEL software. Secondly, based on mono-window algorithm, the land surface temperature(LST) of the study area was retrieved. Then, all LST retrieval results obtained from the six Landsat 5 TM scenes were normalized to0-1 for comparing the temporal differences of varied urban heat island. Thirdly, all normalized results were divided into five equal interval levels based on density separation technology of ENVI 5.0 software. Finally, the correlations between LST and NDVI as well as LST and NDBI were analyzed respectively. The results show that an obvious urban heat island effect exists in Xining city from 1996 to 2011. In addition, the spatial distribution pattern and extension of the urban heat island is consistent with urban sprawl. The urban heat island area is respectively 54.2 km2in August 1996, 85.9 km2in July 2001, 147.1 km2in July 2007, 166.7 km2in March 2009,148.9 km2in July 2010, and 158.7 km2in September 2011, showing an expanding trend from 1996 to 2011 in general. Specifically, the heat island area has reduced substantially in the low and medium LST sub- region,whereas the heat island area has increased significantly in the high LST sub-region. The heat island effect is the strongest in winter, and it decreases evidently in the summer, then the autumn. In the spatial pattern of valley city, the land surface temperature is negatively correlated with NDVI, and positively correlated with NDBI. According to the spatio-temporal evolution of urban heat island, with the adoption of analysis of causes and strategic thinking, the constructive strategies and measures to alleviate urban heat island effect are proposed from different aspects, thus providing a scientific reference for decision making to improve the thermal environment of Xining City in the future.

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Available abstract

Urban thermal environment is an important part of urban ecosystem, and urban heat island(UHI) effect directly reflects the climate characteristics of the city. It has an important practical significance to analyze comprehensively the urban heat island for studying urban air temperature change resulting from urbanization and environment change, and protecting urban eco-environment.Taking the valley city of Xining as a case study area, six Landsat 5 TM scenes were adopted from USGS website, and meteorological station data were obtained from China Meteorological Data Sharing Service System respectively. Firstly, the six Landsat 5 TM scenes were preprocessed by using ArcGIS 10.0 and ENVI 5.0 and the meteorological station data was processed using EXCEL software. Secondly, based on mono-window algorithm, the land surface temperature(LST) of the study area was retrieved. Then, all LST retrieval results obtained from the six Landsat 5 TM scenes were normalized to0-1 for comparing the temporal differences of varied urban heat island. Thirdly, all normalized results were divided into five equal interval levels based on density separation technology of ENVI 5.0 software. Finally, the correlations between LST and NDVI as well as LST and NDBI were analyzed respectively. The results show that an obvious urban heat island effect exists in Xining city from 1996 to 2011. In addition, the spatial distribution pattern and extension of the urban heat island is consistent with urban sprawl. The urban heat island area is respectively 54.2 km2in August 1996, 85.9 km2in July 2001, 147.1 km2in July 2007, 166.7 km2in March 2009,148.9 km2in July 2010, and 158.7 km2in September 2011, showing an expanding trend from 1996 to 2011 in general. Specifically, the heat island area has reduced substantially in the low and medium LST sub- region,whereas the heat island area has increased significantly in the high LST sub-region. The heat island effect is the strongest in winter, and it decreases evidently in the summer, then the autumn. In the spatial pattern of valley city, the land surface temperature is negatively correlated with NDVI, and positively correlated with NDBI. According to the spatio-temporal evolution of urban heat island, with the adoption of analysis of causes and strategic thinking, the constructive strategies and measures to alleviate urban heat island effect are proposed from different aspects, thus providing a scientific reference for decision making to improve the thermal environment of Xining City in the future.

Key concepts: Urban heat island, Urban sprawl, Urbanization, Environmental science, Urban climate, Land cover, China, Physical geography

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Analysis of Urban Heat Island Environment in a Valley City for Policy Formulation: A Case Study of Xining City in Qinghai Province of China — Research Paper | ScholarLens