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Comparison of Heat Flux Observation at Three Different Locations around Bandung, West Java
Junnaedhi I.D.G.A.a, Muchtar K.a, Herho S.H.S.a, Kombara P.Y.a, Fajary F.R.b
a Atmospheric Science Research Group, Faculty of Earth Sciences and Technology, Bandung Institute of Technology, Indonesia
b National Disaster Management Authority, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2019 IOP Publishing Ltd. All rights reserved.We observed heat flux profiles at three different locations around Bandung, West Java. Heat flux values were calculated using the covariance method with the vertical flow and potential air temperature fluctuation parameters. Observations have shown diurnal patterns in the three observation locations. Increasing heat flux during morning time flux on all three location shows similar pattern, but decreasing heat flux on the afternoon varies between locations. Urban residential area of Dago shows the most distinct pattern, with a rapid decrease in the afternoon and also after midnight. We also compared observed heat flux data with estimate values using the Bulk Parameterization method. We found that the estimated heat flux was not able to produce values in accordance with the observation data. Wind shear factor and inadequate implementation of the Bulk Parameterization method were thought to causing poor estimation of surface heat flux in Bandung. Improvements in this method, especially on the bulk transfer coefficient and surface skin temperature, are necessary to get better estimation result.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Bulk transfer,Bulk transfer coefficients,Estimation results,Parameterization method,Surface heat fluxes,Surface skin temperature,Urban residential areas,Wind shear factors[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]bulk transfer,heat fluxm temperature,surface skin temperature[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]This research was supported by Program Penelitian, Pengabdian kepada Masyarakat dan Inovasi ITB (P3MI-ITB) for year 2017.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1088/1755-1315/303/1/012014[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]