A new method for fine-scale assessments of the average urban Heat island over large areas and the effectiveness of nature-based solutions

Lauwaet, Dirk; Nijs, Ton de; Liekens, Inge; Hooyberghs, Hans; Verachtert, Els; Lefebvre, Wouter; Ridder, Koen De; Remme, Roy P.; Broekx, Steven

doi:10.3897/oneeco.3.e24880

Cited by 5 publications

(2 citation statements)

References 18 publications

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“…Moreover, UrbClim model performed at an acceptable accuracy with the root mean square error (RMSE) values ranging from 1.6 • C to 1.9 • C when the model's outputs are validated with data from 11 ground stations, and has lower computational costs compared to the WRF model when simulating the UHI in Barcelona (Spain) [55]. UrbClim has been implemented to define a new method to assess the UHI in Amsterdam based on the UHI simulation over some cities in Europe [56] and to investigate future UHIs in Delhi, India [65].…”

Section: Urbclimmentioning

confidence: 99%

“…In addition, advanced computer technology along with high spatial and temporal resolution of satellite imagery has been used to measure UHIs in more detail [52,53]. The UHI phenomenon can also be studied by using numerical atmospheric simulation (climate) models [54][55][56][57][58][59][60]. The latter approach provides a unique ability to study the response of various land-cover change scenarios on UHI.…”

Section: Introductionmentioning

confidence: 99%

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The Sensitivity of Urban Heat Island to Urban Green Space—A Model-Based Study of City of Colombo, Sri Lanka

et al. 2019

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Urbanization continues to trigger massive land-use land-cover change that transforms natural green environments to impermeable paved surfaces. Fast-growing cities in Asia experience increased urban temperature indicating the development of urban heat islands (UHIs) because of decreased urban green space, particularly in recent decades. This paper investigates the existence of UHIs and the impact of green areas to mitigate the impacts of UHIs in Colombo, Sri Lanka, using UrbClim, a boundary climate model that runs two classes of simulations, namely urbanization impact simulations, and greening simulations. The urbanization impact simulation results show that UHIs spread spatially with the reduction of vegetation cover, and increases the average UHI intensity. The greening simulations show that increasing green space up to 30% in urban areas can decrease the average air temperature by 0.1 °C. On the other hand, converting entire green areas into urban areas in suburban areas increases the average temperature from 27.75 °C to 27.78 °C in Colombo. This demonstrates the sensitivity of UHI to vegetation cover in both urban and suburban areas. These seemingly small changes are average grid values and may indicate much higher impacts at sub-grid levels.

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Section: Urbclimmentioning

confidence: 99%