Spatial Pattern of Urban Heat Island to Enhance Urban Cooling Ecosystem Services in the Post-Pandemic Era DOI Open Access
Erma Fitria Rini

IOP Conference Series Earth and Environmental Science, Год журнала: 2023, Номер 1264(1), С. 012044 - 012044

Опубликована: Ноя. 1, 2023

Abstract Urbanization, followed by reduced green space, often leads to increased land surface temperatures (LST), which is also known as the urban heat island (UHI) effect. Urban cooling ecosystem services provided forests and parks play a crucial role in reducing UHI effect (which reflected LST) improving liveability sustainability of cities. The pandemic has changed many people’s views about importance their well-being. post-pandemic era turning point for infrastructure environmental improvements increase services’ benefits. This study aims look at potential increasing benefits through provision based on conditions Surakarta city. In this study, was identified from LST Landsat 8 9 remote sensing images. spatial pattern analyzed block units using road boundaries cluster outlier statistical analysis. formulating alternatives provide parks, we interviewed stakeholders village revitalization program Kampung Mojo, results show that after pandemic, revitalized neighborhood, temperature still high. did not include because basic issue ownership legality. Nevertheless, provides evidence needed central southern sides city enhance services.

Язык: Английский

Monitoring diurnal dynamics of surface urban heat island for urban agglomerations using ECOSTRESS land surface temperature observations DOI Creative Commons
Yue Chang, Jingfeng Xiao, Xuxiang Li

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 98, С. 104833 - 104833

Опубликована: Июль 30, 2023

Extreme heat exposure at the regional scale is warranted for special attention due to changing global climate yet notable disparities in effect of warming. NASA's latest ECOSTRESS mission generates LST images with a swath width about 400 km and 70-m resolution varying times day/night provides new opportunity SUHI studies. Here we demonstrated capability data studying spatiotemporal variations over an urban agglomeration that centers on megacity, Xi'an, Northwest China includes cities various sizes geographical economic settings. Our results revealed unequal exposures different-sized effects diurnal cycle, maximum value 10 °C. Meanwhile, inter-city showed higher spatial variability late morning, midday, early afternoon than evening, midnight, morning. Urban vegetation percent imperviousness can regulate each city, impact varied across or different times. The findings have implications assessing extreme cities, enlightening mitigation strategies, informing future sustainability.

Язык: Английский

Процитировано

28

A multiscale examination of heat risk spatiotemporal dynamics in Chinese urban agglomerations: A hierarchical assessment method and planning framework DOI
Jinhui Ma,

D Liu

International Journal of Disaster Risk Reduction, Год журнала: 2025, Номер 117, С. 105198 - 105198

Опубликована: Янв. 10, 2025

Язык: Английский

Процитировано

1

Assessing Diurnal Land Surface Temperature Variations across Landcover and Local Climate Zones: Implications for Urban Planning and Mitigation Strategies on Socio-Economic Factors DOI Creative Commons
Prathiba A. Palanisamy, Joanna Zawadzka, Kamal Jain

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 116, С. 105880 - 105880

Опубликована: Окт. 11, 2024

Язык: Английский

Процитировано

6

Effects of urban renewal on green space: Evidence from airborne particulate matter in a mega city cluster DOI
Zhenyu Zhang,

Chongchong Zhu,

Long Wang

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 438, С. 140811 - 140811

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

4

Assessing the Performance of NDVI as A Proxy for Land Surface Temperature Using Linear and Nonlinear Models in Different Intensity of Anthropogenic Activities: A Case Study of Yogyakarta City, Indonesia DOI Open Access
Hamim Zaky Hadibasyir,

Nuril Firdaus,

Dewi Novita Sari

и другие.

IOP Conference Series Earth and Environmental Science, Год журнала: 2025, Номер 1444(1), С. 012014 - 012014

Опубликована: Янв. 1, 2025

Abstract Numerous studies have tested the relationship between vegetation density (using normalized difference index/NDVI as a proxy for density) and land surface temperature (LST) using linear regression model. Few explicitly compared nonlinear models in describing NDVI LST different intensities of anthropogenic activities. Hence, this study aims to investigate multitemporal variations compare performance over various urban activities Yogyakarta City, Indonesia. were extracted from Landsat images 2019, 2020, 2021, 2022. The years 2022 represent i.e. pre Covid-19, emergency response transition period new normal conditions, respectively. mean 29.64 °C, 24.52 28.93 29.47 respectively, which lowest was during Covid-19. During Covid-19 highest R 2 non-linear logarithmic by 0.31, while exponential 0.36, 0.45, 0.56, However, still relatively good at whole having 0.30 0.55.

Язык: Английский

Процитировано

0

Modeling the impact of pandemic on the urban thermal environment over megacities in China: Spatiotemporal analysis from the perspective of heat anomaly variations DOI Creative Commons
Jianfeng Gao, Qingyan Meng, Linlin Zhang

и другие.

International Journal of Applied Earth Observation and Geoinformation, Год журнала: 2025, Номер 136, С. 104396 - 104396

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Impact of COVID-19 pandemic on air pollution and hospitalization risk for cardiovascular and respiratory diseases in Suzhou, China DOI
Fan Liu,

Xikun Liu,

Shaoqing Yu

и другие.

Atmospheric Pollution Research, Год журнала: 2025, Номер unknown, С. 102525 - 102525

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Comparing the Evolution of Land Surface Temperature and Driving Factors between Three Different Urban Agglomerations in China DOI Open Access

Lizhi Pan,

Chaobin Yang, Jing Han

и другие.

Sustainability, Год журнала: 2024, Номер 16(2), С. 486 - 486

Опубликована: Янв. 5, 2024

Increases in land surface temperature (LST) and the urban heat island effect have become major challenges process of development. However, few studies examined variations LST between different agglomerations (UAs). Based on MODIS data, we quantitatively analyzed spatial temporal evolution patterns three UAs China from 2000 to 2020—Beijing–Tianjin–Hebei (BTH) at national level, Shandong Peninsula (SP) regional Central Shanxi (CS) city level—by employing agglomeration built-up area intensity (UABI), linear regression analyses, geodetic detector models. The results showed following: (1) pattern BTH was most regularized; SP gradually evolved “two points” “a single branch”; CS easily influenced by neighboring big cities. (2) best-fitting coefficients for BTH, SP, were R2BTH = 0.58, R2SP 0.66, R2CS respectively; every 10% increase UABI warmed LSTs 1.47 °C, 1.27 1.83 respectively. (3) ranking single-factor influence DEM (digital elevation model) > NDVI T2m (air 2 m) POP (population). interacting with had strongest warming LST, maximum value q(UABI ∩ DEM) 0.951. All factor interactions an enhancement CS, but factors a weaker which q(NDVI POP) 0.265 q(T2m 0.261. As development matures, interaction might cooling environment certain degree.

Язык: Английский

Процитировано

3

Scale Differences and Gradient Effects of Local Climate Zone Spatial Pattern on Urban Heat Island Impact—A Case in Guangzhou’s Core Area DOI Open Access

Yan Rao,

Shaohua Zhang,

Kun Yang

и другие.

Sustainability, Год журнала: 2024, Номер 16(15), С. 6656 - 6656

Опубликована: Авг. 3, 2024

With the continuous development of cities, surface urban heat island intensity (SUHII) is increasing, leading to deterioration thermal environment, increasing energy consumption, and endangering health residents. Understanding spatio-temporal scale difference gradient effect spatial patterns on impact SUHII crucial for improving climate resilience cities promoting sustainable development. This paper investigated characteristics changes at different time periods based local zones (LCZs) downscaled land temperature (LST) data. Meanwhile, landscape pattern indicators multiscale geographically weighted regression (MGWR) model were utilized analyze impacts multiple spatial–temporal scales. The results indicated that each LCZ type exhibited diverse in periods. High occurred summer daytime autumn nighttime. Compact high-rise buildings (LCZ1/2/4) showed markedly higher during or nighttime, except heavy industry. extent influence dominant factors exhibit obvious differences effects. At regional scale, highly regular compacted built-up areas tended increase SUHII, while single continuously distributed had a greater SUHII. PLAND (1/2/4/5/10) trend diminishing from suburban areas. In areas, 1, 2, LCZ4 was major factor affecting whereas, 2 10 influencing can provide scientific reference mitigating effects constructing an ecologically ‘designed’ city.

Язык: Английский

Процитировано

2

PM2.5 reduces the daytime/nighttime urban heat island intensity over mainland China DOI
Zihao Feng, Xuhong Wang,

Mengqianxi Yu

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 106001 - 106001

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

2