Analisa Spatio Temporal Fenomena Urban Heat Island Di Kota Jambi

Kurnianingsih, Kurnianingsih (2025) Analisa Spatio Temporal Fenomena Urban Heat Island Di Kota Jambi. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Perubahan iklim dan pemanasan global yang terjadi saat ini dapat mengakibatkan peningkatan resiko panas ekstrim, salah satu yang menjadi wilayah heat exposure adalah wilayah perkotaan. Pertumbuhan jumlah penduduk yang tinggi di Kota Jambi mengakibatkan beralih fungsinya tutupan lahan dari vegetasi menjadi lahan terbangun dan pemukiman serta penggunaan kendaraan bermotor meningkatkan pengeluaran emisi gas karbon yang juga meningkatkan suhu udara di Kota Jambi. Kajian iklim perkotaan misalnya fenomena Pulau Panas Perkotaan (Urban Heat Island) untuk kota-kota dengan kategori “inland cities”seperti Kota Jambi masih sangat sedikit dilakukan di Indonesia. Data Remote Sensing dengan series yang panjang secara spasial dan temporal dapat digunakan untuk memahami dan mengidentifikasi fenomena urban heat island (UHI). Penelitian ini bertujuan untuk menilai intensitas UHI di Kota Jambi dengan mengukur surface urban heat island index (SUHII) dan urban thermal variance index (UTFVI) dengan memanfaatkan produk Land Surface Temperature (LST) dan Enhanced Vegetation Index (EVI) satelit MODIS pada rentang waktu 2001-2024, serta mengukur intensitas Atmosphere urban heat island (AUHI). Hasil penelitian menunjukkan bahwa Kota Jambi merupakan wilayah yang memiliki LST tertinggi dan indeks EVI terendah dibandingkan wilayah sekitarnya baik pada siang hari maupun malam hari. Intensitas SUHI di Kota Jambi bernilai positif antara 0.2°C – 2.5°C dan indeks UTFVI antara 0.01 - 0.07. Intensitas AUHI antara urban dan sub urban sekitar (-0.2)°C – 0.3 °C pada siang hari dan(-0.1)°C – 0.1°C pada malam hari. Sedangkan Intensitas AUHI antara urban dan rural sekitar (-1.7)°C - (-0.5)°C pada siang hari dan 0.3°C – 0.8 °C pada malam hari. Uji korelasi antara LST dan suhu udara stasiun BMKG memiliki kategori cukup kecuali korelasi antara LST dan suhu udara Stasiun Meteorologi Kerinci memiliki kategori sangat lemah.
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Current climate change and global warming can increase the risk of extreme heat, one of which is the area of heat exposure is urban areas. High population growth in Jambi City has resulted in the shift in land cover from vegetation to built-up land and settlements, and the use of motorized vehicles has increased carbon emissions which also increase air temperatures in Jambi City. Urban climate studies, for example the Urban Heat Island phenomenon for cities in the "inland cities" category such as Jambi City, are still very rarely carried out in Indonesia. Remote Sensing data with a long spatial and temporal series can be used to understand and identify the urban heat island (UHI) phenomenon. This study aims to assess the intensity of UHI in Jambi City by measuring the surface urban heat island index (SUHII) and urban thermal variance index (UTFVI) by utilizing the Land Surface Temperature (LST) and Enhanced Vegetation Index (EVI) products of the MODIS satellite in the 2001-2024 period, as well as measuring the intensity of the Atmosphere urban heat island (AUHI). The results of the study show that Jambi City is an area with the highest LST and the lowest EVI index compared to the surrounding areas both during the day and at night. The SUHI intensity in Jambi City has a positive value between 0.2°C - 2.5 °C and the UTFVI index between 0.01 - 0.07. The AUHI intensity between urban and sub urban is around (-0.2)°C - 0.3 °C during the day and(-0.1)°C - 0.1 °C at night. Meanwhile, the AUHI intensity between urbanandrural is around (-1.7)°C - (-0.5)°C during the day and 0.3°C - 0.8 °Cat night. The correlation test between LST and air temperature at the BMKG station has a sufficient category except for the correlation between LST and air temperature at the Kerinci Meteorological Station which has a very weak category.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	AUHI, EVI, SUHI, UTFVI, AUHI, EVI, SUHI, UTFVI
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing
Divisions:	Faculty of Civil Engineering and Planning > Geomatics Engineering > 29101-(S2) Master Thesis
Depositing User:	Kurnianingsih .
Date Deposited:	22 Jul 2025 03:51
Last Modified:	22 Jul 2025 03:51
URI:	http://repository.its.ac.id/id/eprint/120436

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