Study of urban heat island index methods for urban agglomerations (hilly terrain) in Chongqing

Liao, Daiqiang; Zhu, Haonan; Jiang, Ping

doi:10.1007/s00704-020-03433-8

Cited by 13 publications

(7 citation statements)

References 28 publications

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“…However, rapid urbanization has also hurt the urban environmental quality, resulting in rising UHI. This study's findings could aid in reducing the UHII while enhancing the urban environmental quality, which is in line with previous research [9,16,18,32,34,35,55,71,[76][77][78][79][80][81][82].…”

Section: Discussionsupporting

confidence: 91%

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Spatiotemporal Variation of Summertime Urban Heat Island (UHI) and Its Correlation with Particulate Matter (PM2.5) over Metropolitan Cities in Alabama

El Afandi,

Ismael

2023

Geographies

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More than half of the global population lives in urban areas, which can cause the phenomenon known as Urban Heat Island (UHI). UHI is a phenomenon where urban areas experience higher temperatures compared to their rural surroundings. The occurrence of UHI in large cities is primarily due to urbanization and increased vehicular emissions. Factors such as wind speed and direction, solar flux, and the thermodynamic properties of surface materials determine the intensity of UHI. It can cause thermal air circulation, leading to high concentrations of urban air pollutants such as fine particulate matter (PM2.5). These pollutants can remain suspended in the air and cause asthma and allergies. It is essential to understand the characteristics of UHI intensity and its effect on air quality. This study aims to analyze the spatiotemporal variations of UHI and their correlation with PM2.5 concentration in three Alabama cities, namely Birmingham, Montgomery, and Mobile, during the summer seasons of 2002, 2012, and 2022. The study also compares UHI in these cities with nearby rural areas to determine the effect of urbanization by calculating the Normalized Difference Building Index (NDBI). To achieve these objectives, the Land Surface Temperature (LST), UHI intensity, and NDBI Datasets were analyzed. The results showed that PM2.5 concentrations in the cities have been decreasing annually since 2002, leading to an improvement in air quality. There was a negative linear correlation between UHI intensity and PM2.5 concentration. However, LST remained consistently high throughout the study period. The correlation between UHI intensity and NDBI was positive. The findings of this study can help us better understand the dynamics and driving mechanisms of the urban heat environment. Furthermore, they can assist urban metropolitan planners in developing more efficient mitigation strategies that reduce the negative impacts of UHI and PM2.5 concentrations on the environment.

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Section: Discussionsupporting

confidence: 91%

“…Other cities that experienced similar incidents include Sacramento, San Francisco, Fresno, Houston, and Oklahoma. Lastly, it was reported that PM2.5 formations corresponded with changes in emission levels of smoke, NOx, and biogenic volatile organic compounds (VOCs) [55].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variation of Summertime Urban Heat Island (UHI) and Its Correlation with Particulate Matter (PM2.5) over Metropolitan Cities in Alabama

El Afandi,

Ismael

2023

Geographies

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“…The regions with the highest CDD values in terms of spatial distribution are those along the Yangtze River, Jialing River, Qijiang River Valley, and Kaizhou. In Chongqing’s main urban region, where there is a very high cooling demand that is partially explained by the urban heat island effect, the deepest blue areas can be seen [ 48 ]. While the high-elevation areas in the northeastern and southeastern regions reached the lowest values, the remaining western and central regions had the second-highest values ( Figure 2 b,c).…”

Section: Resultsmentioning

confidence: 99%

“…Then, with the use of high-density observation data from 1908 meteorological stations, the whole region of Chongqing could be divided into five types ( Figure 4 b): 2A (hot-humid), 3A (warm-humid), 4A (mixed-humid), 5A (cool-humid), and 6A (cold-humid). The 3A type occupied most of Chongqing (1683 meteorological stations, accounting for 88.2% of the total stations), followed by the 4A type (195 meteorological stations, accounting for 10.2% of all stations), which was mainly distributed in the northeastern and southeastern parts of Chongqing, while the 2A type (17 meteorological stations, accounting for 0.9% of the total stations) was largely concentrated in the main urban area of Chongqing, which is closely related to the urban heat island effect [ 48 ]. The majority of the type 5A meteorological stations (11 meteorological stations, or 0.6 percent of all stations) were dispersed over an altitude range of 1300–1920 m, with the majority of the stations being in the northeast.…”

Section: Resultsmentioning

confidence: 99%

A Case Study of Refined Building Climate Zoning under Complicated Terrain Conditions in China

Zhang¹,

Chen

Zhang³

et al. 2022

IJERPH

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In this study, we first found that the few and sparse meteorological stations used in earlier comprehensive studies of building climate zoning in a complicated terrain area like Chongqing, China, may lead to the inapplicability of building energy efficiency standards in some areas. To address this issue, the study used daily data from 1908 extremely dense surface meteorological stations from 2011 to 2020 in Chongqing, China. In order to conduct fine zoning of building climate in Chongqing, China, GB50176-2016 and ASHRAE standard 169-2021 were employed, respectively. The findings indicated that by using the ASHRAE standard, the entire Chongqing region was classified into five climate zones. The Chongqing region was categorized into three different climate zones using China GB50176-2016: cold zone (CZ), hot summer and cold winter zone (HSCWZ), and mild zone (MZ). Not to be overlooked is the MZ (China’s GB50176-2016)/mixed-humid zone (ASHRAE standard), which is primarily situated at higher elevations in the southeast and northeast of Chongqing. In comparison to the HSCWZ/warm-humid zone, these zones have drastically different building energy efficiency regulations and approaches. According to preliminary projections, improved building climate zoning will to some extent increase building energy efficiency and reduce emissions in Chongqing. Finally, this study case can be replicated in different regions with complicated terrain.

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“…Jiang et al [25] analyzed the daily and seasonal variation characteristics of UHI in Chongqing using the data from 55 automatic meteorological stations in 2017. Liao et al [26] investigated the spatial distribution of UHI in Chongqing using MODIS LST data and meteorological observation data. Using Landsat 8 OLI images, Liu et al [27] found that the sky view factor and industrial areas contributed significantly to UHI in Chongqing, while Wang et al [28] found vegetation cover and urban surface elevation played a greater role.…”

Section: Introductionmentioning

confidence: 99%

Temporal Evolution of Urban Heat Island and Quantitative Relationship with Urbanization Development in Chongqing, China

2022

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Urban development always has a strong impact on the urban thermal environment, but it is unclear to what extent urbanization factors influence urban heat island intensity (UHII) in mountainous cities, and fewer studies have been conducted on the trends of long-term UHII in mountainous cities. Chongqing, as the only municipality directly under the central government in Southwest China and a typical mountainous city, is chosen as the case study. This study analyzed the interannual and seasonal variations of UHII based on the data from meteorological stations in Chongqing from 1959 to 2018 using the least-squares method and the Mann–Kendall test, and explored the relationship between urbanization factors (urban resident population, gross domestic product (GDP), fixed investments, and gross industrial output value) and UHII. The results show that the increasing rates of temperature in urban areas of Chongqing are significantly higher than those in rural areas affected by urbanization. Using the Mann–Kendall test, it is found that almost all abrupt temperature changes in Chongqing occurred after the rapid urbanization of Chongqing in the 21st century. The annual mean UHII increased from 0.1 °C to 1.5 °C during the study period, with summer making the largest contribution. It is also found that the UHII in Chongqing has increased year by year, especially after the 1980s. The increasing rates of UHII are larger at night and smaller during the day. The increasing trends of nighttime UHII are statistically significant, while those of daytime UHII are not. In addition, UHII and urbanization factors are found to be correlated using the grey relational analysis (GRA). Eventually, a comprehensive UHII index and a comprehensive urbanization index are constructed using principal component analysis (PCA). A tertiary regression model of UHII and urbanization index is established, which reflects that the UHII in Chongqing will continue to grow rapidly with the development of the city.

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Study of urban heat island index methods for urban agglomerations (hilly terrain) in Chongqing

Cited by 13 publications

References 28 publications

Spatiotemporal Variation of Summertime Urban Heat Island (UHI) and Its Correlation with Particulate Matter (PM2.5) over Metropolitan Cities in Alabama

Spatiotemporal Variation of Summertime Urban Heat Island (UHI) and Its Correlation with Particulate Matter (PM2.5) over Metropolitan Cities in Alabama

A Case Study of Refined Building Climate Zoning under Complicated Terrain Conditions in China

Temporal Evolution of Urban Heat Island and Quantitative Relationship with Urbanization Development in Chongqing, China

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