Desert urban ecology: urban forest, climate, and ecosystem services DOI
Rıfat Olgun, Chingwen Cheng, Paul Coseo

и другие.

Environment Development and Sustainability, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 30, 2024

Язык: Английский

Ten new insights in climate science 2024 DOI Creative Commons

Roberto Schaeffer,

E. Lisa F. Schipper, Daniel Ospina

и другие.

One Earth, Год журнала: 2025, Номер unknown, С. 101285 - 101285

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

1

Shading design optimization in a semi-arid region: Considering energy consumption, greenhouse gas emissions, and cost DOI

Fahimeh Dokhanian,

M. Mohajerani, Hassan Estaji

и другие.

Journal of Cleaner Production, Год журнала: 2023, Номер 428, С. 139293 - 139293

Опубликована: Окт. 20, 2023

Язык: Английский

Процитировано

23

Investigating the effect of surface urban heat island on the trend of temperature changes DOI

Marzieh Mokarram,

Farideh Taripanah, Tam Minh Pham

и другие.

Advances in Space Research, Год журнала: 2023, Номер 72(8), С. 3150 - 3169

Опубликована: Июль 1, 2023

Язык: Английский

Процитировано

22

The assessment of cooling capacity of blue-green spaces in rapidly developing cities: A case study of Tianjin's central urban area DOI
Fei Yang, Rasoul Yousefpour, Ying Zhang

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 99, С. 104918 - 104918

Опубликована: Сен. 9, 2023

Язык: Английский

Процитировано

22

Integrating Machine Learning and Genetic Algorithms to Optimize Building Energy and Thermal Efficiency Under Historical and Future Climate Scenarios DOI Open Access
Alireza Karimi, M. Mohajerani, Niloufar Alinasab

и другие.

Sustainability, Год журнала: 2024, Номер 16(21), С. 9324 - 9324

Опубликована: Окт. 27, 2024

As the global energy demand rises and climate change creates more challenges, optimizing performance of non-residential buildings becomes essential. Traditional simulation-based optimization methods often fall short due to computational inefficiency their time-consuming nature, limiting practical application. This study introduces a new framework that integrates Bayesian optimization, XGBoost algorithms, multi-objective genetic algorithms (GA) enhance building metrics—total (TE), indoor overheating degree (IOD), predicted percentage dissatisfied (PPD)—for historical (2020), mid-future (2050), future (2080) scenarios. The employs IOD as key indicator (KPI) optimize design operation. While traditional indices such mean vote (PMV) thermal sensation (TSV) are widely used, they fail capture individual comfort variations dynamic nature conditions. addresses these gaps by providing comprehensive objective measure discomfort, quantifying both frequency severity events. Alongside IOD, use intensity (EUI) index is used assess consumption per unit area, critical insights into efficiency. integration with EUI PPD enhances overall assessment performance, creating precise holistic framework. combination ensures efficiency, comfort, occupant well-being optimized in tandem. By addressing significant gap existing methodologies, current approach combines advanced techniques modern simulation tools EnergyPlus, resulting efficient accurate model performance. reduces time Utilizing SHAP (SHapley Additive Explanations) analysis, this research identified factors influence metrics. Specifically, window-to-wall ratio (WWR) impacts TE increasing through higher heat gain cooling demand. Outdoor temperature (Tout) has complex effect on depending seasonal conditions, while (Tin) minor impact TE. For PPD, Tout major negative factor, indicating improved natural ventilation can reduce whereas Tin larger open areas exacerbate it. Regarding WWR significantly affect internal gains, windows temperatures contributing increased reduced comfort. also positive its varying over time. demonstrates conditions evolve, effects become pronounced, highlighting need for effective management envelopes HVAC systems.

Язык: Английский

Процитировано

8

The impact of block morphology on urban microclimates: A case study of three cities in cold regions of China DOI

Linlin Guo,

Xiaohua Guo, Baofeng Li

и другие.

Urban Climate, Год журнала: 2024, Номер 57, С. 102098 - 102098

Опубликована: Авг. 15, 2024

Язык: Английский

Процитировано

7

The heat island effect, digital technology, and urban economic resilience: Evidence from China DOI

Xuanmei Cheng,

Fangting Ge,

Mark Xu

и другие.

Technological Forecasting and Social Change, Год журнала: 2024, Номер 209, С. 123802 - 123802

Опубликована: Окт. 14, 2024

Язык: Английский

Процитировано

7

Predicting the impacts of urban development on seasonal urban thermal environment in Guwahati city, northeast India DOI
Pir Mohammad, Ajanta Goswami

Building and Environment, Год журнала: 2022, Номер 226, С. 109724 - 109724

Опубликована: Окт. 20, 2022

Язык: Английский

Процитировано

24

Assessing vegetation distribution based on geometrical and morphological characteristics of the urban fabric to provide thermal comfort for pedestrians: A case study in Sanandaj DOI

Asrin Salehi,

Nazanin Nasrollahi

Sustainable Cities and Society, Год журнала: 2024, Номер 104, С. 105297 - 105297

Опубликована: Фев. 24, 2024

Язык: Английский

Процитировано

5

Assessing the Relationship between Land Surface Temperature and Composition Elements of Urban Green Spaces during Heat Waves Episodes in Mediterranean Cities DOI Open Access
Manuel Delgado-Capel, Paloma Egea-Cariñanos, Paloma Cariñanos

и другие.

Forests, Год журнала: 2024, Номер 15(3), С. 463 - 463

Опубликована: Март 1, 2024

In the context of escalating global temperatures and intensified heat waves, Mediterranean region emerges as a noteworthy hotspot, experiencing surge in frequency intensity these extreme events. Nature-based solutions, particularly management urban green infrastructure (UGI) areas, have shown promising outcomes adapting areas to challenges posed by waves. The objective current study is twofold: firstly, identify compositional patterns strategically distributed small public spaces, demonstrating their enhanced capacity mitigate impact waves region; secondly, assess association, direction, explanatory strength relationship between composition elements UGI area typology, specifically focusing on variation land surface temperature (LST) values during wave episodes spanning from 2017 2023. methodology involved obtaining satellite images classifying based composition, orientation, typology. Ordinal multiple regressions were conducted analyze considered variables LST ranges that occurred findings indicate an increase across many emphasizing heightened thermal stress medium-sized compact city, Granada (in southeast Iberian Peninsula). Traditional squares, pocket parks gardens, pedestrian with trees impervious surfaces performed better reducing probability exceeding above 41 °C compared other vegetated patches mainly occupied herbaceous vegetation grass. concludes advocating for strategic incorporation vegetation, especially trees, along traditional squares featuring semipermeable pavement shrubbery, potential effective strategy enhancing resilience against Overall, this research enhances our understanding dynamics offers guidance bolstering spaces region.

Язык: Английский

Процитировано

5