WRF-urban canopy model evaluation for the assessment of heat island and thermal comfort over an urban airshed in India under ... View Full Text


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Article Info

DATE

2018-12

AUTHORS

Shweta Bhati, Manju Mohan

ABSTRACT

Urban heat island effect has been assessed using weather research and forecasting model (WRF v3.5) focusing on air temperature and surface skin temperature in the sub-tropical urban Indian megacity of Delhi. Impact of urbanization-related changes in land use/land cover (LULC) on model outputs has been analyzed. Four simulations have been carried out with different types of LULC data viz. (1) USGS, (2) MODIS, (3) user-modified USGS and (4) user-modified land use data coupled with urban canopy model (UCM) for incorporation of canopy features. Heat island intensities have been estimated based on these simulations and subsequently compared with those derived from in situ and satellite observations. There is a significant improvement in model performance with modification of LULC and inclusion of UCM. Overall, RMSEs for near surface temperature improved from 6.3 to 3.9 °C and index of agreement for mean urban heat island intensities (UHI) improved from 0.4 to 0.7 with modified land use coupled with UCM. In general, model is able to capture the magnitude of UHI as well as high UHI zones well. A simple method of bias correction in model has been applied to improve model results for further application. The study highlights the importance of appropriate and updated the representation of land use–land cover and urban canopies for improving predictive capabilities of the mesoscale models. Urban heat island has been known to have effect on human thermal comfort. In the present study, Heat Index, a commonly used indicator of thermal comfort, is assessed spatially using WRF-UCM derived results. Urban areas were found to have higher Heat Index than non-urban areas by a difference of about 1.5–2 °C. Further, it was found that urban canopy effect leads to rise in thermal discomfort by increasing Heat Index. There is an increase in Heat Index of about 2.0–2.5 °C at dense built-up stations. Decrease in thermal comfort causes a significant impact on energy demand. Hence, analysis of urban heat island effect vis-a-vis thermal comfort provides useful information with regard to impact on human comfort and welfare. More... »

PAGES

27

References to SciGraph publications

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  • 2011-12. Including the urban heat island in spatial heat health risk assessment strategies: a case study for Birmingham, UK in INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS
  • 2008-11. The impact of excess heat events in Maricopa County, Arizona: 2000–2005 in INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
  • 2016-10. WRF model evaluation for the urban heat island assessment under varying land use/land cover and reference site conditions in THEORETICAL AND APPLIED CLIMATOLOGY
  • 2013-05. Assessment of urban heat island effect for different land use–land cover from micrometeorological measurements and remote sensing data for megacity Delhi in THEORETICAL AND APPLIED CLIMATOLOGY
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