Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/60533
Title: AnallysisOf Urban Heat Island Use WRF Model For Case Area Of South Sumatera
Urban Heat Island Menggunakan Model WRF Untuk Wilayah Kajian Sumatera Selatan
Authors: Sugiarto, Yon
Tursilowati, Laras
Riyanto, Adi
Keywords: Urban Heat Island (UHI)
Air Temperature
Surface Temperature
Land Use Index
Issue Date: 2012
Publisher: IPB ( Bogor Agricultural University )
Abstract: The research is based on the phenomenon of temperature increase due to the reduced number of green open space that has a reciprocal interaction. The increase in temperature will result in the loss of human comfort and health. In this study the temperature rise is assumed to be a major factor in analyzing the region indicated that global warming has occurred resulting in a higher temperature than the temperature around the region. This phenomenon is referred to as the Urban Heat Island. This study used data from the NCEP FNL combined with data from the USGS terrestrial. Data is processed in a computer system cluster. The results obtained in the form of visual indexes land cover, air temperature, and surface temperature in the South Sumatra to the 15th, 16th, and 17th January 2010. Variables obtained can be used as an indicator of a preliminary analysis of Urban Heat Island. From the analysis of the variables is known that the temperature is warmer than the city of Palembang, South Sumatra region temperature by 0.1 0C to 1 0C. Surface temperature and air temperature difference Palembang showed that at night the surface temperature is warmer than the air temperature with a temperature range of 0.3 0C to 0.4 0C. While the daytime temperatures cooler than the surface air temperature with a temperature range of 0.2 0C to 1.4 0C. While the comparison of central temperature with 4 dots around it indicates that the temperature of the air and surface temperatures difference downtown from noon to night higher than the 4 point decrease in air temperature surrounding the 3.64 0C and difference the surface temperature of 4.43 0C. The results validate the observations of air temperature and the temperature WRF models show that the air temperature data generated WRF models have a high level of compliance with air temperature data AWS observations with the line equation y = 0.8009x + 5.1887 with the correlation coefficient R2 of 0.6346.
Penelitianinididasarkanpadafenomenakenaikansuhudikarenakanberkurangnyajumlahruangterbukahijau yang memilikiinteraksihubungantimbalbalik.Kenaikansuhuakanmengakibatkanhilangnyakenyamanandankesehatanmanusia. Dalamstudiinikenaikansuhudiasumsikanmenjadifaktorutamadalammenganalisiswilayah yang terindikasikantelahterjadipemanasan global yang mengakibatkansuhulebihtinggidarisuhudisekitarwilayahtersebut.FenomenainidisebutsebagaiUrban Heat Island (UHI).Penelitianinimenggunakan data FNL dari NCEP yang dipadukandengan data terrestrial dari USGS.Data diolahdidalamsistemkomputerkluster.Hasilnyadiperolehdalambentuk visual dariindekspenutupanlahan, suhuudara, dansuhupermukandalamwilayah Sumatera Selatan untuktanggal 15, 16, dan 17 Januari 2010.Variabel yang diperolehdapatdigunakansebagaianalisisawalindikatorterjadinya UHI.Dari hasilanalisisvariabeldiketahuibahwasuhu Kota Palembang lebih hangat dibandingkan suhu wilayah Sumselsebesar 0.1 0C sampai 10C.Suhupermukaan dan suhu udara Kota Palembang menunjukan perbedaan bahwa pada malam hari suhu permukaan lebih hangat dibandingkan suhu udara dengan kisaransuhu sebesar 0.30C sampai 0.40C. Sedangkan padasianghari suhu permukaan lebih dingindibandingkan suhu udara dengan kisaran suhu sebesar 0.20C sampai 1.40C.Sedangkanhasilperbandingansuhupusatkotadengan 4 titikdisekitarnyamenunjukkanbahwasuhuudaradanpermukaanpusatkotamengalamiperbedaan suhudarisiangkemalamhari yang lebihtinggidibandingkandengan 4 titikdisekitarnyadenganperbedaansuhuudara 3.64 0C danperbedaansuhupermukaansebesar 4.430C. Hasilvalidasiantarasuhuudaraobservasidengansuhuudara model WRF menunjukanbahwa data suhuudara yang dihasilkan model WRF memilikitingkatkesesuaian yang tinggidengan data suhuudarahasilobservasi AWS denganpersamaangaris y = 0.8009x + 5.1887 denganbesarkoefisienkorelasi R2 sebesar 0.6346.
URI: http://repository.ipb.ac.id/handle/123456789/60533
Appears in Collections:UT - Geophysics and Meteorology

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