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All Journal JPG (Jurnal Pendidikan Geografi) Jukung (Jurnal Teknik Lingkungan)
Presli Panusunan Simanjuntak
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Agriculture, Biological Sciences & Forestry Chemistry Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Education Engineering Environmental Science

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PROYEKSI CURAH HUJAN DAN SUHU UDARA EKSTRIM MASA DEPAN PERIODE TAHUN 2021-2050 KOTA BANJARBARU KALIMANTAN SELATAN Presli Panusunan Simanjuntak; Annisa Dwi Nopiyanti; Agus Safril
Jukung (Jurnal Teknik Lingkungan) Vol 6, No 1 (2020): MARET 2020
Publisher : Program Studi Teknik Lingkungan Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (393.085 KB) | DOI: 10.20527/jukung.v6i1.8237

Abstract

Peningkatan konsentrasi gas rumah kaca telah menyebabkan perubahan pada kejadian iklim ekstrim. Penelitian ini menggunakan skenario RCP 4.5 sebagai skenario perubahaan iklim masa mendatang untuk mengetahui tren indeks suhu dan curah hujan ekstrim periode 2021-2050 di Kota Banjarbaru. Data suhu maksimum, suhu minimum dan curah hujan harian hasil proyeksi tahun 2021-2050 diolah dengan Software RClimDex sehingga didapatkan data indeks temperatur dan hujan ekstrim. Indeks-indeks tersebut merupakan indeks iklim ekstrim yang ditetapkan oleh ETCCDMI yang terdiri atas TN90p, , TX90p, TNn, TNx, TXn, TXx, TMAXmean, TMINmean, RX1day, RX5day, SDII, CDD dan CWD. Hasil penelitian ini menunjukkan bahwa diproyeksikan pada 2020-2050 tren suhu udara akan meningkat signifikan di kota Banjarbaru terutama suhu udara minimum selanjutnya pola prespitasi juga mengalami peningkatan terutama akumulasi curah hujan 5 hari berturut-turut. Meningkatknya jumlah hari kering dan berkurangnya jumlah hari basah, serta semakin tinggi akumulasi curah hujan harian namun hari basah yang sedikit akan menghasilkan curah hujan harian yang tinggi (ekstrim) setiap kejadian hari basah. Kata kunci: banjarbaru, curah hujan, ekstrim, suhu. ABSTRACT  Increased concentrations of greenhouse gases have caused changes in extreme climate events. This study uses the RCP 4.5 scenario as a future climate change scenario to determine the temperature index and extreme rainfall trends in the 2021-2050 period in Banjarbaru. Data of maximum temperature, minimum temperature and daily rainfall projection results in 2021-2050 are processed with RClimDex Software so that the temperature and extreme rain index data are obtained. The indices are extreme climate indices determined by ETCCDMI consisting of TN90p, TX90p, TNn, TNx, TXn, TXx, TMAXmean, TMINmean, RX1day, RX5day, SDII, CDD and CWD. The results of this study indicate that it is projected that in 2020-2050 air temperature trends will increase significantly in the city of Banjarbaru especially the minimum air temperature then the pattern of prespitations will also increase especially the accumulation of rainfall for 5 consecutive days. Increasing the number of dry days and decreasing the number of wet days, as well as the higher accumulation of daily rainfall but a small wet day will produce high daily rainfall (extreme) every event of a wet day. Keywords: banjarbaru, extreme, temperature, rainfall.
Spatial Analysis of Tourism Climate Comfort in the Belitung Geopark Based on Historical and Projected Climate Data Aflah Yuliarti; Budhi Setiawan; Mokhamad Yusup Nur Khakim; Presli Panusunan Simanjuntak
JPG (Jurnal Pendidikan Geografi) Vol 13, No 1 (2026)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jpg.v13i1.25483

Abstract

Climate-based tourism is closely linked to atmospheric comfort, while ongoing global climate change has intensified uncertainty in climatic conditions across many tourism destinations, including tropical geoparks. This study evaluates the spatial and temporal patterns of tourism climate comfort in the Belitung Geopark by integrating historical climate data (1991–2024) and future climate projections (2026–2050) under the Representative Concentration Pathway (RCP) 4.5 scenario. Tourism climate comfort was assessed using the Tourism Climate Index (TCI), which incorporates key meteorological variables, namely air temperature, relative humidity, precipitation, wind speed, and solar radiation. A spatial–temporal analysis supported by Geographic Information Systems (GIS) and heatmap visualization was applied to examine variations across 17 geosites. The results reveal a pronounced seasonal pattern characteristic of tropical climates, with the highest TCI values occurring during the dry season, particularly in August and September. Coastal geosites consistently exhibit higher and more stable comfort levels than inland, hilly, and forested areas, which experience noticeable declines in comfort during the wet season due to increased rainfall and humidity. Climate projections indicate a general reduction in TCI values, especially during transitional and wet months; however, most coastal geosites remain within acceptable to good comfort categories for tourism activities. These findings highlight the role of geographical factors, such as proximity to the coast and local atmospheric dynamics, in shaping spatial variations in tourism climate comfort. The study provides a scientific basis for adaptive tourism management, seasonal tourism planning, and climate change adaptation strategies in tropical geopark destinations, it offers potential applications in geography education and spatial climate analysis.
Co-Authors Aflah Yuliarti Agus Safril Annisa Dwi Nopiyanti Budhi Setiawan Mokhamad Yusup Nur Khakim