Spatial distribution and influencing factors on urban land surface temperature of twelve megacities in China from 2000 to 2017

Wang, Yanan; Yi, Guihua; Zhou, Xiaobing; Zhang, Tingbin; Bie, Xiaojuan; Li, Jingji; Ji, Bowen

doi:10.1016/j.ecolind.2021.107533

Cited by 35 publications

(26 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[1][2][3] Besides, cities are the most rapidly growing regions of the world and, megacities (cities with more than 10 million people) like Tokyo, Beijing, Seoul, Shanghai, Pyongyang, Bangkok, Manila, and Ho Chi Minh City show various extreme climate events. [4][5][6] The two major and contradictory phenomena were observed in megacities and large cities as compared to their surrounding environment are Urban Heat Island and Urban Cool Island. 7,8 The UHI emblem has been observed locally and globally.…”

Section: Introductionmentioning

confidence: 99%

Regional and urban heat island studies in megacities: A systematic analysis of research methodology

Argaw

Feyisa

Degefa

2022

Indoor and Built Environment

View full text Add to dashboard Cite

The paper provides a systematic review of satellite-based regional and urban heat island (RHI and UHI) studies in cities and their challenges, from 2010 to the present based on visualizing scientific landscapes (VOS) viewer analysis and Scopus and science database search using a set of standard criteria. The review results show that 52.17% of the studies used Landsat images followed by MODIS (36.65%). Based on VOS viewer analysis author keywords, remote sensing was strongly linked to urban heat island, urban greenspace, and improvise surface, respectively. Regarding, Co-authorship network China, Canada and the United kingdom’s authors actively collaborated with different world researchers. The most frequently studied regions and periods of research are China and summer daytime, respectively. A total of 55% of the articles reported the use of a mono-window algorithm for retrieving LST from sensors. On the other hand, remotely sensed UHI studies have been facing a series of challenges, including differences between remote sensing satellite-derived LST and air temperature, impacts of clouds and other factors on LST data, methods to quantify UHI, accuracy assessment and attribution of RHI and UHI. Thus, consideration was given to the understudied cities, the methods to compute RHI and/or UHI intensity, inter-annual variability and modeling in the future.

show abstract

Section: Introductionmentioning

confidence: 99%

Regional and urban heat island studies in megacities: A systematic analysis of research methodology

Argaw

Feyisa

Degefa

2022

Indoor and Built Environment

View full text Add to dashboard Cite

show abstract

“…This index extracts complex built-up land cover using remote sensing data derived using index-derived bands such as NDBI, SAVI, and MNDWI. IBI enhances the contrast between vegetation and water bodies and built-ups, thus providing accurate built land information ( Wang et al., 2021 ). Table 5 provides detailed information on the bands which are used in the study.…”

Section: Methodsmentioning

confidence: 99%

“…However, no study has yet to be found explaining the effects of land cover on LST using multivariate linear regression (MLR). MLR model could best fit the distribution, while urban LST fitting based on a single variable could underestimate the distribution ( Wang et al., 2021 ; Yang et al., 2019 ). MLR is often used in recent studies to explain spatial parameters of LST ( Unger et al., 2010 ).…”

Section: Introductionmentioning

confidence: 99%

Thermal and ecological assessment based on land surface temperature and quantifying multivariate controlling factors in Bogura, Bangladesh

Abir

Ahmmed

Sarker

et al. 2021

Heliyon

View full text Add to dashboard Cite

In recent years, the world has shown considerable concerns about environmental degradation accompanied by urban expansion. In terms of size, Bogura is equivalent to most of the major cities in Bangladesh, yet no thermal and ecological assessment has ever been conducted here. This study uses multitemporal Landsat satellite images between 2001 and 2020 to investigate the thermal and ecological conditions of Bogura Sadar (sub-district). Land surface temperature (LST) is obtained from Landsat images using the widely used radiative transfer equation. The thermal and ecological conditions are evaluated by computing urban heat island (UHI) and urban thermal field variance index (UTFVI) from LST data. The influence of vegetation, built-area, water-body, and bare soil on LST are examined using land cover indices through pixel-level multivariate linear regression analysis. According to the findings of this sub-district-scale (urban and rural areas) study, the mean LST has increased by 0.62 °C in the last 20 years. As per local administrative-wise findings, LST has increased in most areas, regardless of their urban or rural function. The difference between the urban area and the rest of the surroundings was significant (1.74 °C) in 2020. In 2001, UHI affected area was 5.65 km 2 , which expanded to 8.84 km 2 in 2020. Thermal and ecological conditions are worse in urban areas than its surrounding areas. The regression models of the LST and land cover indices could explain more than half (R 2 : 0.66 to 0.73) of LST variation over the years. Land cover could explain the LST in 2020 to the least extent implying that anthropogenic activities have greater influence than earlier. Land cover could explain less than half of the LST variation in the urban area.

show abstract

“…In particular, increasingly severe urban summer high temperatures caused by urban heat islands has been widely treated as a major factor directly or indirectly threatening human health (2)(3)(4). Since the discovery of the urban heat island effect, scholars have conducted empirical research on the causes, influencing factors, and spatiotemporal distribution of urban high-temperature environments (5)(6)(7). Some studies have found that there is a correlation between urban morphological characteristics and functional area differences, and urban thermal environment, and at the same time, it has been proved that climatic zones also have an impact on urban surface temperature (8)(9)(10)(11)(12).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the impact of urban summer high temperatures and outdoor activity duration on residents' emotional health: Taking hostility as an example

Huang

Zhao

et al. 2022

Front. Public Health

View full text Add to dashboard Cite

The combined effect of global warming and the heat island effect keeps the temperature of cities rising in the summer, seriously threatening the physical and mental health of urban residents. Taking the area within the Sixth Ring Road of Beijing as an example, based on Landsat remote sensing images, meteorological stations, and questionnaires, this study established a relational model between temperature and hostility and then analyzed the changes in the emotional health risk (hostility) in the study area and the mechanism of how outdoor activity duration influences hostility. Results show that: (1) the area within the Sixth Ring Road of Beijing had a higher and higher temperature from 1991 to 2020. Low-temperature areas gradually shrank, and medium- and high-temperature areas extended outwards from the center. (2) The threat of high temperature to residents' hostility gradually intensified—the sphere of influence expanded, low-risk areas quickly turned into medium-high-risk areas, and the level of hostility risk increased. Level 1 risk areas of hostility had the most obvious reduction—a 74.33% reduction in area proportion; meanwhile, Level 3 risk areas had the most significant growth—a 50.41% increase in area proportion. (3) In the first 120 min of outdoor activities under high temperature, residents' hostility was negatively correlated with outdoor activity duration; after more than 120 min, hostility became positively correlated with duration. Therefore, figuring out how temperature changes influence human emotions is of great significance to improving the living environment and health level of residents. This study attempts to (1) explore the impact of temperature changes and outdoor activity duration on hostility, (2) evaluate residents' emotional health risk levels affected by high temperature, and (3) provide a theoretical basis for the early warning mechanism of emotional health risk and the planning of healthy cities.

show abstract

Spatial distribution and influencing factors on urban land surface temperature of twelve megacities in China from 2000 to 2017

Cited by 35 publications

References 70 publications

Regional and urban heat island studies in megacities: A systematic analysis of research methodology

Regional and urban heat island studies in megacities: A systematic analysis of research methodology

Thermal and ecological assessment based on land surface temperature and quantifying multivariate controlling factors in Bogura, Bangladesh

Analysis of the impact of urban summer high temperatures and outdoor activity duration on residents' emotional health: Taking hostility as an example

Contact Info

Product

Resources

About