Geospatial modelling of seasonal water and electricity consumption in Doha's residential buildings using multiscale geographically weighted regression (MGWR) and Bootstrap analysis

Sustainable Cities and Society, Год журнала: 2024, Номер 113, С. 105654 - 105654

Опубликована: Июль 9, 2024

Ensuring sustainable water and electricity consumption in urban residential buildings is a growing challenge worldwide, particularly rapidly developing regions with harsh climates. This study examines the seasonal variation of Doha, Qatar, exploring interconnectedness land use/land cover (LULC) socio-demographic characteristics household consumption. For this purpose, we employed statistical analysis (i.e. Pearson correlation Bootstrap analysis) advanced geostatistical models, including Geographically Weighted Regression (GWR) Multiscale (MGWR), to analyze monitor spatial variations The methods involved assessing relationship between surface temperature (LST), water-electricity consumption, analyzing impact demographic variables. Key findings indicate significant spatiotemporal influenced by changes LULC such as size structure. highlight need for integrated planning energy policies that consider impacts enhance efficiency sustainability settings. Furthermore, results underscore importance addressing complex interplay development resource policy-making.

Язык: Английский

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How urban spatial characteristics impact surface urban heat island in subtropical high-density cities based on LCZs: A case study of Macau

Sustainable Cities and Society, Год журнала: 2024, Номер 112, С. 105587 - 105587

Опубликована: Июнь 15, 2024

Язык: Английский

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Modeling Urban Microclimates for High-Resolution Prediction of Land Surface Temperature Using Statistical Models and Surface Characteristics

Urban Science, Год журнала: 2025, Номер 9(2), С. 28 - 28

Опубликована: Янв. 28, 2025

Surface properties in complex urban environments can significantly impact local-level temperature gradients and distribution on several scales. Studying anomalies identifying heat pockets settings is challenging. Limited high-resolution datasets are available that do not translate into an accurate assessment of near-surface temperature. This study developed a model to predict land surface (LST) at high spatial–temporal resolution areas using Landsat data meteorological inputs from NLDAS. microclimate (UC) air for inner through build-up scheme. The innovative aspect the inclusion micro-features use characteristics, which incorporate types, vegetation, building density heights, short wave radiation, relative humidity. Statistical models, including Generalized Additive Model (GAM) spatial autoregression (SAR), were based characteristics weather parameters. was applied microclimates densely populated regions, focusing Manhattan New York City. results indicated SAR performed better (R2 = 0.85, RMSE 0.736) predicting micro-scale LST variations compared GAM 0.39, 1.203) validated accuracy prediction with R2 ranging 0.79 0.95.

Язык: Английский

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

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

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Comparative analysis of land cover changes on outdoor thermal comfort in Doha, Dubai, Kuwait City, Manama, Muscat, and Riyadh

Annals of GIS, Год журнала: 2025, Номер unknown, С. 1 - 18

Опубликована: Янв. 24, 2025

Язык: Английский

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Mapping high-resolution spatio-temporal patterns of pedestrian thermal comfort at different scales using street view imagery and deep learning

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106209 - 106209

Опубликована: Фев. 1, 2025

Язык: Английский

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Spatial dynamics of thermal comfort in Surakarta city 2013-2023

IOP Conference Series Earth and Environmental Science, Год журнала: 2025, Номер 1462(1), С. 012056 - 012056

Опубликована: Март 1, 2025

Abstract Urban thermal comfort is one of the factors that directly affect urban quality. This study aims to determine dynamics in Surakarta City from 2013 2023. The analysis method used measure level using Thermal Humidity Index (THI) surface temperature and relative humidity data. measurement results show category quite comfortable dominates 2018, while 2023, has increased, so it. distribution categories shows North side more compared South City.

Язык: Английский

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Remote Sensing for Environmentally Responsive Urban Built Environment: A Review of Tools, Methods and Gaps

Remote Sensing Applications Society and Environment, Год журнала: 2025, Номер unknown, С. 101529 - 101529

Опубликована: Март 1, 2025

Язык: Английский

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Stratified strategies for enhancing thermal comfort through multidimensional compactness optimization in urban built-up areas during heatwaves

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106445 - 106445

Опубликована: Май 1, 2025

Язык: Английский

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Green and Blue Infrastructure for Urban Cooling: Multi-Scale Mechanisms, Spatial Optimization, and Methodological Integration

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106501 - 106501

Опубликована: Июнь 1, 2025

Язык: Английский

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