Urban Heat Island Phenomenon in a Desert, Coastal City: The Impact of Urbanization DOI

Rajeswari J.R.,

C. Fountoukis, Azhar Siddique

и другие.

Опубликована: Янв. 1, 2024

The state of Qatar has been experiencing rapid urbanization with around 85% its population residing in Doha. country faces notable challenges related to the Urban Heat Island (UHI) effect, which is exacerbated by hot and humid desert climate. This study focuses on analyzing UHI phenomenon Doha, utilizing observed meteorological data Weather Research Forecasting model (WRF v4.5). Two land use cover (LULC) datasets from 2001 2018 are employed, simulations conducted using different urban canopy models. LULC includes 100m resolution information that categorizes areas into 11 local climate zones. Results indicate significant intensity during both winter summer periods (up 6.5˚C), differences between daytime nighttime temperatures. In agreement observations, predicts not only a strong effect nighttime, but also Cool Doha -5.8˚C summer). impact various parameterization schemes simulation accuracy highlighted. building energy demonstrates superior performance predicting temperature relative humidity period. spatial distribution heat index illustrates intensified warming city.

Язык: Английский

Urban heat island phenomenon in a desert, coastal city: The impact of urbanization DOI Creative Commons

J. R. Rajeswari,

C. Fountoukis, Azhar Siddique

и другие.

Urban Climate, Год журнала: 2024, Номер 56, С. 102016 - 102016

Опубликована: Июнь 28, 2024

The state of Qatar has been experiencing rapid urbanization with around 85% its population residing in Doha. country faces notable challenges related to the Urban Heat Island (UHI) effect, which is exacerbated by hot and humid desert climate. This study focuses on analyzing UHI phenomenon Doha, utilizing observed meteorological data Weather Research Forecasting model (WRF v4.5). Two land use cover (LULC) datasets from 2001 2018 are employed, simulations conducted using different urban canopy models. LULC includes 100 m resolution information that categorizes areas into 11 local climate zones. Results indicate significant intensity during both winter summer periods (up 6.5 °C), differences between daytime nighttime temperatures. In agreement observations, predicts not only a strong effect nighttime, but also Cool Doha −5.8 °C summer). impact various parameterization schemes simulation accuracy highlighted. building energy demonstrates superior performance predicting temperature relative humidity period. spatial distribution heat index illustrates intensified warming city.

Язык: Английский

Процитировано

8
Unveiling the Nexus Between Land Use, Land Surface Temperature, and Carbon Footprint: A Multi-Scale Analysis of Building Energy Consumption in Arid Urban Areas DOI Creative Commons
Ammar Abulibdeh, Saied Pirasteh, Davood Mafi-Gholami

и другие.

Earth Systems and Environment, Год журнала: 2024, Номер unknown

Опубликована: Дек. 23, 2024

Abstract Urbanization and land use changes, especially in arid environments, significantly impact local climate energy demand. This study investigates the relationship between Land Use/Land Cover (LULC) Surface Temperature (LST), carbon footprint (CF) from building consumption Doha, Qatar. Specifically, addresses gap understanding how LULC LST interact to influence CF urban areas. The research utilizes electricity data residential, commercial, government buildings conjunction with remote sensing (Landsat 8) climatical (ERA5) estimate vegetation health. Multiregional Input-Output (MRIO) model was employed calculate direct indirect consumption. At same time, support vector machine (SVM) used classify into areas, green spaces, inland water bodies, barren lands. To further investigate spatial heterogeneity of relationships variables, Multiscale Geographically Weighted Regression (MGWR) utilized. hypothesizes that changes will increase buildings, during peak summer months regions, while increased help reduce this impact. hotspots are expected areas higher less space. findings reveal significant correlations LST, reduced residential commercial sectors. Villas exhibited highest due cooling demands, noticeable specific underscores role spaces mitigating both CF, Normalized Difference Vegetation Index (NDVI) showing an inverse CF. Policy implications point urgent need for integrating greening initiatives, enhancing efficiency design, revising planning policies address challenges posed by rising demands regions. Recommendations include incentivizing adoption energy-efficient designs improving cover enhance resilience climates. offers critical insights policymakers, planners, environmental managers aiming balance growth sustainable resilience.

Язык: Английский

Процитировано

5
Does urban sprawl lessen green space exposure? Evidence from Chinese cities DOI
Yang Chen, Daniele La Rosa, Wenze Yue

и другие.

Landscape and Urban Planning, Год журнала: 2025, Номер 257, С. 105319 - 105319

Опубликована: Фев. 6, 2025

Процитировано

0
Urban Heat Island Phenomenon in a Desert, Coastal City: The Impact of Urbanization DOI

Rajeswari J.R.,

C. Fountoukis, Azhar Siddique

и другие.

Опубликована: Янв. 1, 2024

The state of Qatar has been experiencing rapid urbanization with around 85% its population residing in Doha. country faces notable challenges related to the Urban Heat Island (UHI) effect, which is exacerbated by hot and humid desert climate. This study focuses on analyzing UHI phenomenon Doha, utilizing observed meteorological data Weather Research Forecasting model (WRF v4.5). Two land use cover (LULC) datasets from 2001 2018 are employed, simulations conducted using different urban canopy models. LULC includes 100m resolution information that categorizes areas into 11 local climate zones. Results indicate significant intensity during both winter summer periods (up 6.5˚C), differences between daytime nighttime temperatures. In agreement observations, predicts not only a strong effect nighttime, but also Cool Doha -5.8˚C summer). impact various parameterization schemes simulation accuracy highlighted. building energy demonstrates superior performance predicting temperature relative humidity period. spatial distribution heat index illustrates intensified warming city.

Язык: Английский

Процитировано

1