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Quantifying The Impacts Of Built Environment And Surface Properties On Temperature Extremes | 92922
ISSN: 2157-7617
Journal of Earth Science & Climatic Change
Open Access
Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.
Urbanization has created an increase in Urban Heat Island (UHI) effect. UHI reflects an elevated temperature in cities as
compared with nearby rural areas which is due to the change in landscape from grass covered and vegetative to concrete
and asphalt with three-dimensional structures. Our on-site study revealed that mixed environments (grass, water and concrete)
result in different temperature profiles within specific ranges. Grass shows the coolest environment, water is the most temperate
and concrete has the highest peak temperatures during the day for the duration of the study. To further understand temperature
extremes at fine temporal and spatial scales in complex urban settings and to minimize the thermal impact of structures on the
surrounding environment, we plan on quantifying the impacts to build environment and surface properties on surrounding
temperature through three specific tasks, downscaling satellite infrared radiation brightness temperatures to identify hot spots
within urban environments and introduction of a localized offset table concept to quantify the impact of various surface type
on thermal anomalies, understanding the behavior of common surface materials in the built environment in interaction with
solar radiation and quantification of the vertical association between skin temperature and near surface air temperature for
thermal mapping within urban microclimates and development of a conceptual framework for assessing environmental risk and
vulnerability to temperature extremes by modeling the near surface air temperature profile of complex urban systems based on
land surface properties and field measured data.