Spatial heterogeneity of the thermal environment based on the urban expansion of natural cities using open data in Guangzhou, China

2019 ◽  
Vol 104 ◽  
pp. 524-534 ◽  
Author(s):  
Zhiwei Yang ◽  
Yingbiao Chen ◽  
Zhifeng Wu ◽  
Qinglan Qian ◽  
Zihao Zheng ◽  
...  
Keyword(s):  
Spatial Heterogeneity ◽  
Thermal Environment ◽  
Urban Expansion ◽  
Open Data ◽  
Natural Cities

scholarly journals Analyzing the Spatial Heterogeneity of the Built Environment and Its Impact on the Urban Thermal Environment—Case Study of Downtown Shanghai

2021 ◽  
Vol 13 (20) ◽  
pp. 11302
Author(s):  
Jiejie Han ◽  
Xi Zhao ◽  
Hao Zhang ◽  
Yu Liu
Keyword(s):  
Built Environment ◽  
Spatial Heterogeneity ◽  
Land Surface ◽  
Urban Areas ◽  
Thermal Environment ◽  
Urban Expansion ◽  
Surface Heat ◽  
Positive Contribution ◽  
Heat Island ◽  
Island Effect

Ongoing urban expansion has accelerated the explosive growth of urban populations and has led to a dramatic increase in the impervious surface area within urban areas. This, in turn, has exacerbated the surface heat island effect within cities. However, the importance of the surface heat island effect within urban areas, scilicet the intra-SUHI effect, has attracted less concern. The aim of this study was to quantitatively explore the relationship between the spatial heterogeneity of a built environment and the intra-urban surface heat island (intra-SUHI) effect using the thermally sharpened land surface temperature (LST) and high-resolution land-use classification products. The results show that at the land parcel scale, the parcel-based relative intensity of intra-SUHI should be attributed to the land parcels featured with differential land developmental intensity. Furthermore, the partial least squares regression (PLSR) modeling quantified the relative importance of the spatial heterogeneity indices of the built environment that exhibit a negative contribution to decreasing the parcel-based intra-SUHI effect or a positive contribution to increasing the intra-SUHI effect. Finally, based on the findings of this study, some practical countermeasures towards mitigating the adverse intra-SUHI effect and improving urban climatic adaption are discussed.

scholarly journals Understanding uneven urban expansion with natural cities using open data

2018 ◽  
Vol 177 ◽  
pp. 281-293 ◽  
Author(s):  
Ying Long ◽  
Weixin Zhai ◽  
Yao Shen ◽  
Xinyue Ye
Keyword(s):  
Urban Expansion ◽  
Open Data ◽  
Natural Cities

scholarly journals Spatial Heterogeneity in the Determinants of Urban Form: An Analysis of Chinese Cities with a GWR Approach

2019 ◽  
Vol 11 (2) ◽  
pp. 479 ◽  
Author(s):  
Shijie Li ◽  
Chunshan Zhou ◽  
Shaojian Wang ◽  
Shuang Gao ◽  
Zhitao Liu
Keyword(s):  
Spatial Heterogeneity ◽  
Urban Form ◽  
Urban Expansion ◽  
Coastal Region ◽  
Policy Implications ◽  
Urban Systems ◽  
Theoretical Understanding ◽  
Chinese Cities ◽  
Shape Irregularity ◽  
Spatially Varying

It is of great significance to investigate the determinants of urban form for shaping sustainable urban form. Previous studies generally assumed the determinants of urban form did not vary across spatial units, without taking spatial heterogeneity into account. In order to advance the theoretical understanding of the determinants of urban form, this study attempted to examine the spatial heterogeneity in the determinants of urban form for 289 Chinese prefecture-level cities using a geographically weighted regression (GWR) method. The results revealed the spatially varying relationship between urban form and its underlying factors. Population growth was found to promote urban expansion in most Chinese cities, and decrease urban compactness in part of the Chinese cities. Cities with larger administrative areas were more likely to have dispersed urban form. Industrialization was demonstrated to have no impact on urban expansion in cities located in the eastern coastal region of China, which constitutes the country’s most developed regions. Local financial revenue was found to accelerate urban expansion and increase urban shape irregularity in many Chines cities. It was found that fixed investment exerted a bidirectional impact on urban expansion. In addition, urban road networks and public transit were also identified as the determinants of urban form for some cities, which supported the complex urban systems (CUS) theory. The policy implications emerging from this study lies in shaping sustainable urban form for China’s decision makers and urban planners.

scholarly journals RS and GIS Supported Urban LULC and UHI Change Simulation and Assessment

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Pei Liu ◽  
Shoujun Jia ◽  
Ruimei Han ◽  
Yuanping Liu ◽  
Xiaofeng Lu ◽  
...  
Keyword(s):  
Land Surface ◽  
Thermal Environment ◽  
Urban Expansion ◽  
Dynamic Change ◽  
Urban Sustainability ◽  
Remotely Sensed Data ◽  
Rapid Urbanization ◽  
Urban Heat ◽  
High Level ◽  
The Impact

Rapid urbanization has become a major urban sustainability concern due to environmental impacts, such as the development of urban heat island (UHI) and the reduction of urban security states. To date, most research on urban sustainability development has focused on dynamic change monitoring or UHI state characterization, while there is little literature on UHI change analysis. In addition, there has been little research on the impact of land use and land cover changes (LULCCs) on UHI, especially simulates future trends of LULCCs, UHI change, and dynamic relationship of LULCCs and UHI. The purpose of this research is to design a remote sensing-based framework that investigates and analyzes how the LULCCs in the process of urbanization affected thermal environment. In order to assess and predict the impact of LULCCs on urban heat environment, multitemporal remotely sensed data from 1986 to 2016 were selected as source data, and Geographic Information System (GIS) methods such as the CA-Markov model were employed to construct the proposed framework. The results showed that (1) there has been a substantial strength of urban expansion during the 40-year study period, (2) the farthest distance urban center of gravity moves from north-northeast (NEE) to west-southwest (WSW) direction, (3) the dominate temperature was middle level, sub-high level, and high level in the research area, (4) there was a higher changing frequency and range from east to west, and (5) there was a significant negative correlation between land surface temperature and vegetation and significant positive correlation between temperature and human settlement.

Exploration on Traditional Courtyard Micro-Climate Characteristics and Improvement Method - Case Study of No. 6 Courtyard of Chang'anxue Alley in Xi'an Sanxuejie Historic District

2013 ◽  
Vol 357-360 ◽  
pp. 1918-1927 ◽  
Author(s):  
Ruo Bing Fan ◽  
Xiao Ming Li
Keyword(s):  
Sustainable Development ◽  
Thermal Environment ◽  
Urban Expansion ◽  
Historic District ◽  
Climate Conditions ◽  
Historic Districts ◽  
Improvement Method ◽  
New Perspective

Xian Sanxuejie district is a typical historic district of the city. Presently this type of traditional districts is surrounded by many modern buildings due to the rapid urban expansion. The historic districts are facing problems of poor courtyard micro-climate conditions and low living level, which has become the bottleneck of historic districts sustainable development. This paper studies thermal environment, luminous environment, solar environment and wind environment from a new perspective using Ecotect building environment analyzing software. The author explores micro-climate improving method suitable for traditional courtyard in order to promote micro-climate quality of historic district and to improve the comfort of local residences. The purpose is to achieve sustainable development of historic districts.

scholarly journals Analyzing the interpretative ability of landscape pattern to explain thermal environmental effects in the Beijing-Tianjin-Hebei urban agglomeration

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7874
Author(s):  
Dongchuan Wang ◽  
Zhichao Sun ◽  
Junhe Chen ◽  
Xiao Wang ◽  
Xian Zhang ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Spatial Heterogeneity ◽  
Landscape Pattern ◽  
Thermal Environment ◽  
Hot Spot ◽  
Pearson Correlation ◽  
Ordinary Least Squares ◽  
Urban Agglomeration ◽  
Landscape Patterns ◽  
Anthropogenic Heat

The development of the urban agglomeration has caused drastic changes in landscape pattern and increased anthropogenic heat emission and lead to the urban heat island (UHI) effect more serious. Therefore, understanding the interpretation ability of landscape pattern on the thermal environment has gradually become an important focus. In the study, the spatial heterogeneity of the surface temperature was analyzed using the hot-spot analysis method which was improved by changing the calculation of space weight. Then the interpretation ability of a single landscape and a combination of landscapes to explain surface temperature was explored using the Pearson correlation coefficient and ordinary least squares regression from different spatial levels, and the spatial heterogeneity of the interpretation ability was explored using geographical weighted regression under the optimal granularity (5 × 5 km). The results showed that: (1) The hot spots of surface temperature were distributed mainly in the plains and on the southeast hills, where the landscapes primarily include artificial landscape (ArtLS) and farmland landscape (FarmLS). The cold spots were distributed mainly in the northern hills, which are dominated by forest landscape (ForLS). (2) On the whole, the interpretative ability of ForLS, FarmLS, ArtLS, green space landscape pattern, and ecological landscape pattern to explain surface temperature was stronger, whereas the interpretative ability of grassland landscape and wetland landscape to explain surface temperature was weaker. The interpretation ability of landscape pattern to explain surface temperature was obviously different in different areas. Specifically, the ability was stronger in the hills than in the plain and plateau. The results are intended to provide a scientific basis for adjusting landscape structural, optimizing landscape patterns, alleviating the UHI effect, and coordinating the balance among cities within the urban agglomeration.

scholarly journals Spatial Interconnections of Land Surface Temperatures with Land Cover/Use: A Case Study of Tokyo

2021 ◽  
Vol 13 (4) ◽  
pp. 610
Author(s):  
Fei Liu ◽  
Hao Hou ◽  
Yuji Murayama
Keyword(s):  
Land Cover ◽  
Spatial Data ◽  
Land Surface ◽  
Metropolitan Areas ◽  
Driving Forces ◽  
Thermal Environment ◽  
Urban Expansion ◽  
Ordinary Least Squares ◽  
Joint Analysis ◽  
Movement Trajectories

As one of the most populated metropolitan areas in the world, the Tokyo Metropolitan Area (TMA) has experienced severe climatic modifications and pressure due to densified human activities and urban expansion. The surface urban heat island (SUHI) phenomenon particularly constitutes a significant threat to human comfort and geo-environmental health in TMA. This study aimed to profile the spatial interconnections between land surface temperature (LST) and land cover/use in TMA from 2001 to 2015 using multi-source spatial data. To this end, the thermal gradients between the urban and non-urban fabric areas in TMA were examined by joint analysis of land cover/use and LST. The spatiotemporal aggregation patterns, variations, and movement trajectories of SUHI intensity in TMA were identified and delineated. The spatial relationship between SUHI and the potential driving forces in TMA was clarified using geographically weighted regression (GWR) analysis. The results show that the thermal environment of TMA exhibited a polynucleated spatial structure with multiple thermal island cores. Overall, the magnitude and extent of SUHI in TMA increased and expanded from 2001 to 2015. During that time, SUHIs clustered in the compact residential quarters and redevelopment/renovation areas rather than downtown. The GWR models showed better performance than ordinary least squares (OLS) models, with Adj R2 > 0.9, indicating that the magnitude of SUHI significantly depended on its neighboring geographical setting, including land cover composition and configuration, population size, and terrain. We suggest that UHI mitigation in Tokyo should be focused on alleviating the magnitude of persistent thermal cores and controlling unstable SUHI occurrence based on partitioned or location-specific landscape design. This study’s findings have immense implications for SUHI mitigation in metropolitan areas situated in bay regions.

scholarly journals Landsat-Based Monitoring of the Heat Effects of Urbanization Directions and Types in Hangzhou City from 2000 to 2020

2021 ◽  
Vol 13 (21) ◽  
pp. 4268
Author(s):  
Lin Chen ◽  
Bin Zhou ◽  
Weidong Man ◽  
Mingyue Liu
Keyword(s):  
Urban Areas ◽  
Single Channel ◽  
Thermal Environment ◽  
Urban Expansion ◽  
Spatiotemporal Patterns ◽  
Annual Growth Rate ◽  
Impervious Surfaces ◽  
Rapid Urbanization ◽  
Heat Effects ◽  
Urban Heat

Rapid urbanization has produced serious heat effects worldwide. However, the literature lacks a detailed study on heat effects based on the directions and types of urban expansion. In this work, a typical city with an extremely hot summer climate, Hangzhou, was selected as a case study to determine the relationships between the urban heat-effect dynamics and spatiotemporal patterns of impervious surface expansion. Based on long-term Landsat imagery, this study characterized the spatiotemporal patterns of urban expansion and normalized surface temperatures in Hangzhou City from 2000 to 2020 using object-based backdating classification and a generalized single-channel algorithm with the help of a land-use transfer matrix, expansion index, and spatial centroids. Relevant policies, industries, and traffic networks were discussed to help explain urban expansion and thermal environment changes. The results demonstrated that in 2020, the area of impervious surfaces covered 1139.29 km2. The majority of the gains were in farmland, water, and forests, and the annual growth rate was 32.12 km2/year beginning in 2000. During the expansion of impervious surfaces, the city warmed at a slower rate, and more thermal contributions came from sub-urban areas. The southeast-oriented expansion of impervious surfaces was the key reason for the spatiotemporal dynamics of the urban heat effects. The dominant urban edge expansion intensified the local heat effects. This research provides a Landsat-based methodology for better understanding the heat effects of urban expansion.

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