Gulf Today

Green parks reduce urban temperatur­es in Abu Dhabi

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ABU DHABI: A groundbrea­king study by Mohamed Bin Zayed University of Artificial Intelligen­ce (MBZUAI) in Abu Dhabi and the US technology giant IBM has found that green parks in Abu Dhabi play a crucial role in reducing urban temperatur­es, with some areas experienci­ng a cooling effect of up to 2.2°C.

Dr Salman Khan, Associate Professor of Computer Vision at MBZUAI, said in an interview with the Emirates News Agency that the study used Ai-enabled technology to analyse decades of satellite data and found that vegetation and water bodies have a significan­t impact on reducing urban heat island effects.

An urban heat island occurs when a city experience­s much warmer temperatur­es than nearby rural areas. This happens because densely developed urban areas absorb and radiate heat, increasing local surface and air temperatur­es and exacerbati­ng global warming.

The study, part of the “Ai-enabled Urban Heat Island Detection and Mitigation” project, aims to identify the factors contributi­ng to urban heat islands and develop strategies to mitigate them.

Khan highlighte­d the significan­t cooling effects of two parks in particular. Masdar Park in Masdar city on the outskirts of Abu Dhabi city has reduced temperatur­es by 2.2°C in that area. Umm Al Emarat Park in Abu Dhabi City has resulted in a 1°C cooling effect in the centre of Abu Dhabi island.

The study’s findings prove the importance of green spaces in urban areas, which can help mitigate the negative impacts of urban heat islands on human health and well-being.

The study’s analysis of satellite data, including thermal channels, vegetation, and building footprints, provided valuable insights into the impact of parks on reducing urban heat islands.

Khan emphasised that the study’s results can inform urban planning strategies, identifyin­g areas where increased vegetation can have the greatest impact on reducing temperatur­es.

The research also demonstrat­ed the potential of Ai-enabled technology to forecast the effects of urban interventi­ons on temperatur­e reduction.

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