Evaluating Climatic Warming and the Modulating Effects of Surface Water and Regional Variables in Western Bangladesh

Results in Engineering, Год журнала: 2025, Номер unknown, С. 103864 - 103864

Опубликована: Янв. 1, 2025

Язык: Английский

---

Assessment of critical thermal characteristics and land surface dynamics of an Indian metropolitan city

Journal of Water and Climate Change, Год журнала: 2024, Номер 15(7), С. 3409 - 3430

Опубликована: Июнь 17, 2024

ABSTRACT Monitoring urban heat islands (UHIs) is crucial as it has become a major health hazard. This paper focuses on an empirical study analyzing causes and spatiotemporal attributes in tropical metropolis to enrich the climate database. A comparative assessment of temperature patterns from Landsat Terra satellite sensors was performed for day–night scenarios summer winter. Results showed that 2003 2014, there sharp rise about 4 °C average daytime summer. The temporal UHI increased by 28.52% 8.37% winter last two decades. thermal hotspot development linked land cover dynamics using surface indices, use cover, local zone patterns. dense green reduced 652.69 km2, reflecting cause behind development. presence water content reduced, depicted drop maximum NDWI values 0.425 0.152. identified compact mid-rise building arrangements within built area critical creation. Green roofing with low plants should be prioritized at such locations since can reduce 2.6 °C. thorough analysis change will aid sustainable planning similar city regions.

Язык: Английский

---

Simulating urban heat islands and local winds in the Dhaka metropolitan area, Bangladesh

Urban Climate, Год журнала: 2025, Номер 59, С. 102284 - 102284

Опубликована: Янв. 6, 2025

Язык: Английский

---

Assessing the Diurnal and Spatial Role of Greenspaces and Concrete Landscapes in Regulating Urban Microclimate

Journal of Geoscience and Environment Protection, Год журнала: 2025, Номер 13(01), С. 397 - 421

Опубликована: Янв. 1, 2025

Язык: Английский

---

Assessment of meteorological parameters in predicting seasonal temperature of Dhaka city using ANN

Heliyon, Год журнала: 2024, Номер 10(14), С. e34253 - e34253

Опубликована: Июль 1, 2024

In this study, an attempt has been made to investigate the possibility of a machine learning model, Artificial Neural Network (ANN) for seasonal prediction temperature Dhaka city. Prior knowledge is essential, especially in tropical regions like Dhaka, as it aids forecasting heatwaves and implementing effective preparedness schemes. While various models have employed hot weather across world, research specially focused on Bangladesh limited. Additionally, application needs be curated suit particular features any region. Therefore, study approaches ANN method exploring underlying role related variables. Using daily data months February July collected from National Center Environmental Prediction/National Atmospheric Research (NCEP/NCAR) reanalysis (0.25° × 0.25° global grid) years 2011–2020, focuses finding combination variables predicting temperatures. The densely populated city, faced severe consequences due extreme climate conditions recent years, will pave new dimension further regarding topic.

Язык: Английский

---

Wavelet and remote sensing based analysis of Urban Heat Island (UHI) of Megacity Dhaka and its interaction with changing climate

Theoretical and Applied Climatology, Год журнала: 2024, Номер 156(1)

Опубликована: Дек. 9, 2024

Язык: Английский

---