Spatiotemporal analysis of surface Urban Heat Island intensity and the role of vegetation in six major Pakistani cities DOI Creative Commons
Shoaib Ahmad Anees, Kaleem Mehmood, S. K. Raza

и другие.

Ecological Informatics, Год журнала: 2024, Номер unknown, С. 102986 - 102986

Опубликована: Дек. 1, 2024

Язык: Английский

Drivers of global surface urban heat islands: Surface property, climate background, and 2D/3D urban morphologies DOI

Ledi Shao,

Weilin Liao, Peilin Li

и другие.

Building and Environment, Год журнала: 2023, Номер 242, С. 110581 - 110581

Опубликована: Июль 4, 2023

Язык: Английский

Процитировано

52

Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches DOI Open Access
Daniel G. Costa, João Carlos N. Bittencourt, Franklin Oliveira

и другие.

Sustainability, Год журнала: 2024, Номер 16(2), С. 640 - 640

Опубликована: Янв. 11, 2024

In recent years, the concept of smart cities has become increasingly important in pursuit sustainable development goals. general, common urban challenges have been addressed through smart-city services, and new perspectives for more emerged. To realize full potential such environments, geospatial approaches used as a focal point, offering plethora applications that contribute to better understanding innovation potentials. Nevertheless, although significant progress made, different problems may arise when available technologies resources are not understood or even their potentialities properly capitalized. This article reviews state art field, highlighting success cases remaining exploiting data-driven strategies, particularly leveraging geographic information systems, satellites, distributed sensors produce process data datasets scenarios. Moreover, organized perspective area is provided this article, well future trends, supporting research efforts empowering future.

Язык: Английский

Процитировано

27

Unravelling blue landscape fragmentation effects on ecosystem services in urban agglomerations DOI
Sonali Kundu, Narendra Kumar Rana, Susanta Mahato

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 102, С. 105192 - 105192

Опубликована: Янв. 10, 2024

Язык: Английский

Процитировано

23

Seasonal surface urban heat island analysis based on local climate zones DOI Creative Commons
Yantao Xi,

Shuangqiao Wang,

Yunxia Zou

и другие.

Ecological Indicators, Год журнала: 2024, Номер 159, С. 111669 - 111669

Опубликована: Фев. 1, 2024

A fundamental aspect of ensuring urban sustainability is a comprehensive understanding the driving mechanisms behind heat island (UHI) phenomenon. The primary objective this study to investigate spatiotemporal variations and underlying surface (SUHI) in Hefei. employed local climate zone (LCZ) method analyze land morphology spatial structure for 2014 2021. Subsequently, calculations were conducted derive intensity (SUHII), normalized difference built-up index (NDBI), vegetation (NDVI), gravity water (GWI), building fraction (BSF), road density (RD), poi (PD), population (PPD). exploration by which factors influence SUHI was utilizing both Pearson correlation analysis geographic detector models. results revealed that sparsely built (LCZ 9) low plants D) predominantly characterized natural coverage areas, respectively. summer season distinguished most extensive distribution highest SUHII levels. Significantly, consistently exceeded those LCZs when contrasted LCZs. Large lowrise 8) displayed levels, whereas G) exhibited lowest values. NDBI took precedence showed positive with SUHI. Among socio-economic factors, height (BH) demonstrated superior explanatory capability compared other variables. interaction between NDVI maximized explanation under different seasons. findings will serve as critical insights planners policymakers, enabling development scientifically-based efficacious strategies mitigate

Язык: Английский

Процитировано

20

Assessing the effects of urban heat islands and air pollution on human quality of life DOI
Robert Cichowicz, Anna Bochenek

Anthropocene, Год журнала: 2024, Номер 46, С. 100433 - 100433

Опубликована: Март 22, 2024

Язык: Английский

Процитировано

19

Evaluating the impact of landscape configuration, patterns and composition on land surface temperature: an urban heat island study in the Megacity Lahore, Pakistan DOI
Muhammad Nasar-u-Minallah, Dagmar Haase, Salman Qureshi

и другие.

Environmental Monitoring and Assessment, Год журнала: 2024, Номер 196(7)

Опубликована: Июнь 18, 2024

Язык: Английский

Процитировано

16

Thermal hazards in urban spaces: A review of climate-resilient planning and design to reduce the heat stress DOI
Aman Gupta, Bhaskar De,

Sutapa Das

и другие.

Urban Climate, Год журнала: 2025, Номер 59, С. 102296 - 102296

Опубликована: Янв. 25, 2025

Язык: Английский

Процитировано

2

Investigating the association between air pollutants’ concentration and meteorological parameters in a rapidly growing urban center of West Bengal, India: a statistical modeling-based approach DOI Open Access
Arghadeep Bose, Indrajit Roy Chowdhury

Modeling Earth Systems and Environment, Год журнала: 2023, Номер 9(2), С. 2877 - 2892

Опубликована: Янв. 5, 2023

Язык: Английский

Процитировано

33

A GAN-Based Surrogate Model for Instantaneous Urban Wind Flow Prediction DOI
Patrick Kastner, Timur Dogan

Building and Environment, Год журнала: 2023, Номер 242, С. 110384 - 110384

Опубликована: Июнь 15, 2023

Язык: Английский

Процитировано

32

Urban Heat Island Mitigation and Urban Green Spaces: Testing a Model in the City of Padova (Italy) DOI Creative Commons
Paolo Semenzato, Lucia Bortolini

Land, Год журнала: 2023, Номер 12(2), С. 476 - 476

Опубликована: Фев. 15, 2023

The urban heat island (UHI) is a critical issue in most urbanised areas. Spatial variation of air temperature and humidity influences human thermal comfort, the settling rate atmospheric pollutants, energy demand for cooling. UHIs can be particularly harmful to health there are numerous studies that link mortality morbidity with extreme events, worsened by UHIs. difference between city centres surrounding countryside, which accentuated summer months at night, result not only greater production anthropogenic but mainly due properties surfaces. use vegetation, particular tree planting, one possible strategies contrast effects. In order analyse mitigation effects produced green spaces Padova, municipality northeast Italy, simulations variations their spatial distribution were carried out using i-Tree Cool Air model. High-resolution RGBir aerial photos processed produce canopy permeability map model was applied on 10 m × grid over entire city, producing raster aboveground temperatures. A hot July day recorded temperatures 35 °C 3 p.m. 28 reference weather station chosen test. daytime, results show differences up almost open impervious cover (squares, streets) areas under canopy. At simulated slightly cooler than those station, while sealed surfaces maintain 4.4 higher. study aimed testing applicability as tool predicting relation land cover. potentially used compare different forest greening planning scenarios, however, further research necessary assess reliability predictions.

Язык: Английский

Процитировано

30