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Solih Alfiandy
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Buletin GAW Bariri ( BGB)
Published by Stasiun Pemantau Atmosfer Global Lore Lindu Bariri
ISSN : 27217752     EISSN : 27219704     DOI : https://doi.org/10.31172/bgb.v3i1
Core Subject : Science, Agriculture, Social,
Agriculture, Biological Sciences & Forestry Astronomy Computer Science & IT Earth & Planetary Sciences Environmental Science
Buletin GAW Bariri (BGB) merupakan buletin karya tulis ilmiah yang diterbitkan oleh Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu BMKG sebagai sarana publikasi hasil penelitian dan kajian di bidang Meteorologi, Klimatologi, Kualitas Udara, dan Geofisika (MKKuG), serta Lingkungan.
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 4 Documents
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Search results for , issue "Vol 1 No 1 (2020): BULETIN GAW BARIRI" : 4 Documents clear
Inovasi Model Prediksi Titik Api Menggunakan Consecutive Dry Days (CDD) pada Wilayah Lahan Gambut Provinsi Riau Hermanto A. Nainggolan; Burhanudin; Dina Whiri Muslihah; Rista Hernandi Virgianto
Buletin GAW Bariri Vol 1 No 1 (2020): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (892.887 KB) | DOI: 10.31172/bgb.v1i1.6

Abstract

Riau Province, which has a peatland area of ​​5.09 million hectares or 56.42% of the area of ​​peatlands on the island of Sumatra, is one of the provinces in Indonesia which has the greatest potential for forest fires to devastate hundreds of hectares of forest and gardens and increase home gas emissions glass in the atmosphere. Forest fires that occur are closely related to Consecutive Dry Days (CDD) or consecutive days without rain (HTH) which result in low humidity, thereby affecting the potential for hotspots to emerge, especially around peatlands. CDD, which is the result of the accumulation of the amount of HTH in one period between rainy day events, is calculated using CMORPH precipitation data (CPC MORPHing technique). Hotspot data is obtained from NOAA and Hotspot event data with a confidence level of more than 70% in the eastern region of Riau province where there is a peatland. The probability of a Hotspot occurring is calculated based on the CDD for each grid that will produce a CDD value with a significant probability for the occurrence of a Hotspot on the grid each month. The level of density of Hotspots in each season period with a high category is in the JJA and MAM periods. An early warning system for the emergence of a Hotspot based on the level of Hotspot and CDD density is carried out the day before the opportunity arises with a value less than or equal to 0.5. With an average CDD value for early warning in MAM is 13 days and in JJA is eight days. This research is expected to be able to be applied in early warning of forest and land fires in Riau.
Analisis Heat Stress saat Kondisi El – Niño, La – Niña, dan Netral di Wilayah Jakarta dan Sekitarnya Periode 1993 – 2018 Muhamad Fajri Zulkifar; Santy Wulandari; Rista Hernandi Virgianto
Buletin GAW Bariri Vol 1 No 1 (2020): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1271.241 KB) | DOI: 10.31172/bgb.v1i1.9

Abstract

Jakarta and its surroundings areas that have high surface temperatures due to high total CO2 emissions. High CO2 emissions will cause surface temperatures to increase due to the phenomenon of greenhouse gases. An increase in temperature will also have an impact on increasing heat strs which will be dangerous if no steps are taken for prevention. The El Niño – Southern Oscillation (ENSO) factor is also considered influential in terms of the value of heat stress. Calculating heat stress in Jakarta and surrounding areas can be done by the Wet-Bulb Globe Temperature Index (WBGT) method. Data was obtained from six station points in Jakarta and surrounding areas in 1993 – 2018 consisting of daily air temperature and humidity and using Oceanic Nino Index (ONI) data to determine the ENSO period. The results show that the highest WBGT were identified in four regions, Tanjung priok, Kemayoran, Cengkareng and South Tangerang with ISBB values ​​of 30 – 32.5 (the heat stress increases to dangerous levels), while for the other two, Curug and Dramaga Bogor have WBGT values at 28.5 – 30 (heat stress increases). The most dangerous WBGT category was in Tanjung priok in April during El – Niño with 71% (58) days were in the dangerous category, while the WBGT category had the least heat stress at Dramaga in August when it was neutral with 17.7% (66) days were in the no heat stress category. When El-Niño ISBB was higher than when it is neutral and La-Niña and has higher minimum and maximum extreme values than when it is neutral and La – Niña.
Analisis Perubahan Vegetasi dan Variabilitas Curah Hujan di Kawasan Taman Nasional Lore Lindu, Sulawesi Tengah Wenas Ganda Kurnia; Rezfiko Agdialta
Buletin GAW Bariri Vol 1 No 1 (2020): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1541.957 KB) | DOI: 10.31172/bgb.v1i1.10

Abstract

Lore Lindu National Park is the major zone of the Lore Lindu Biosphere Reserve that is located in Central Sulawesi Province. The National Park consists mainly of mountain and sub-mountain forest (± 90%) and a small part of lowland forest (± 10%). Vegetation changes and climate variability in this ecological zone will have a wide impact on ecosystems from local to global levels. Climate anomalies that occur have the potential to cause changes in rainfall variability and vegetation changes. The purpose of this study is to analyze the correlation of Normalize Difference Vegetation Index (NDVI) with rainfall variability in Lore Lindu National Park use the Pearson correlation method. The data used are rainfall data from 2015 to 2017 from several rain posts around the Lore Lindu National Park area, and NDVI data was taken from NOAA satellites using Advanced Very High Resolution Radiometer (AVHRR) sensors. In this study for further analysis used data from two rainfall posts where the average of rainfall has the highest correlation with NDVI changes, namely Doda and Lore Peore rainfall posts. The results of this study show that rainfall is positively correlated to NDVI, which means that rainfall changes are followed by changes in NDVI (changes in vegetation). The highest correlation occurred in Doda rain post, this is due to the location of the Doda rain post which is close to dense vegetation in the Lore Lindu National Park area.
Cover Buletin dan Daftar Isi Asep Hendrawan
Buletin GAW Bariri Vol 1 No 1 (2020): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1003.569 KB) | DOI: 10.31172/bgb.v1i1.11

Abstract

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