Review on urban heat island in China: Methods, its impact on buildings energy demand and mitigation strategies
L Tian, Y Li, J Lu, J Wang - Sustainability, 2021 - mdpi.com
High population density, dense high-rise buildings, and impervious pavements increase the
vulnerability of cities, which aggravate the urban climate environment characterized by the …
vulnerability of cities, which aggravate the urban climate environment characterized by the …
Climatic comparison of surface urban heat island using satellite remote sensing in Tehran and suburbs
In this study, we aim to compare the climatic conditions of Surface Urban Heat Island (SUHI)
in Tehran and its suburbs using day/night time data from three satellites. A high-resolution …
in Tehran and its suburbs using day/night time data from three satellites. A high-resolution …
Spatial and temporal analysis of surface urban heat island and thermal comfort using landsat satellite images between 1989 and 2019: A case study in Tehran
Mapping and monitoring the spatio-temporal variations of the Surface Urban Heat Island
(SUHI) and thermal comfort of metropolitan areas are vital to obtaining the necessary …
(SUHI) and thermal comfort of metropolitan areas are vital to obtaining the necessary …
Temporal characteristics of urban heat island and its response to heat waves and energy consumption in the mountainous Chongqing, China
In this study, the time series of temperature in Chongqing, China, from 1979 to 2018 was
statistically analyzed, and both the interdecadal and seasonal variation characteristics of …
statistically analyzed, and both the interdecadal and seasonal variation characteristics of …
Mining and modeling the direct and indirect causalities among factors affecting the Urban Heat Island severity using structural machine learned Bayesian networks
Urbanization, population growth, and climate change have several impacts on the
environment including the extreme increase in temperature in urban areas, which is also …
environment including the extreme increase in temperature in urban areas, which is also …
Numerical simulation of the impact of urban canopies and anthropogenic emissions on heat island effect in an industrial area: A case study of Angul-Talcher region in …
Changing urban land use dynamics and associated anthropogenic heat (AH) has increased
warming over urban centres. This warming is associated with the Urban Heat Island (UHI) …
warming over urban centres. This warming is associated with the Urban Heat Island (UHI) …
A probabilistic climate change assessment for Europe
S Moghim, AJ Teuling… - International Journal of …, 2022 - Wiley Online Library
Globally, the impacts of climate change can vary across different regions. This study uses a
probability framework to evaluate recent historical (1976–2016) and near‐future projected …
probability framework to evaluate recent historical (1976–2016) and near‐future projected …
Assessment of urban heat island using remote sensing and geospatial application: A case study in Sao Paulo city, Brazil, South America
S Venkatraman, V Kandasamy, J Rajalakshmi… - Journal of South …, 2024 - Elsevier
Urban is a term that describes anything related to cities or densely inhabited places. It is
often employed to define the traits, way of life, and problems unique to metropolitan …
often employed to define the traits, way of life, and problems unique to metropolitan …
Evaluating the Performance of ANN, SVR, RF, and XGBoost in the Prediction of Maximum Temperature and Heat Wave Days over Rajasthan, India
S Bhoopathi, K Sumanth, L Akanksha… - Journal of Hydrologic …, 2024 - ascelibrary.org
This study attempts to predict the maximum temperature, along with the number of heat
wave days (HWDs) at lead times of 7 and 15 days over Rajasthan, ie, a semiarid region …
wave days (HWDs) at lead times of 7 and 15 days over Rajasthan, ie, a semiarid region …
An ensemble deep learning approach to spatiotemporal tropospheric ozone forecasting: A case study of Tehran, Iran
This study proposes a novel framework for spatiotemporal forecasting of Ground-level
Ozone Concentration (GOC) using advanced machine learning techniques, including …
Ozone Concentration (GOC) using advanced machine learning techniques, including …