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Buletin GAW Bariri ( BGB)

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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 27 Documents

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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

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

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

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

Buletin GAW Bariri Vol. 1 No. 1 Year 2020 Cover

Pemodelan Run – up Tsunami di Wilayah Pesisir Pantai Sulawesi Barat Erwan Susanto; Inna Nurana; Akbar Rian Setyahagi
Buletin GAW Bariri Vol 1 No 2 (2020): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

The terriotory of Indonesia has a complex tectonic arrangement, making it prone to earthquakes. Earthquakes are one of the biggest factors causing tsunamis. The coastal area of the West Sulawesi coast has a high level of danger from earthquakes and tsunamis because it is close to the Makassar Rise Fault, which is one of the active faults in the West Sulawesi region. From the above background, the writer will conduct research on tsunami run-up modeling in the coastal area of the West Sulawesi coast. The data used in this research are tsunami generator fault parameter data, bathymetric data from GEBCO (General Bathymetric Chart of The Ocean) and SRTM Digital Elevation Medel (DEM) topography data. In this modeling using the help of the TUNAMI – N2 software. The results of this modeling indicate that the maximum run – up in the coastal area of the West Sulawesi coast reaches 11.75453 meters at the observation point of Cinoka Mamuju Utara Port.

Performa Koreksi Bias Prakiraan Curah Hujan Model European Centre Medium Weather Forecast (ECMWF) di Sulawesi Wenas Ganda Kurnia; Robi Muharsyah; Sofian Widiyanto
Buletin GAW Bariri Vol 1 No 2 (2020): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Sulawesi has a rainfall pattern consisting of monsoonal, equatorial, and local rainfall patterns, thus causing the difficulty level itself to determine rainfall forecasts in the region. Currently, several rainfall forecast products are available based on models, one of which is the forecast output for the ECMWF System 4 (ECS4) model. The purpose of this research study is to determine the bias in the forecast model of the European Center Medium Weather Forecast (ECMWF) system 4 used in Sulawesi. From the results of the analysis, it was found that the ECMWF system 4 model value has a fairly large bias value in Sulawesi, especially areas that have local and equatorial rainfall patterns such as Central Sulawesi, Gorontalo, eastern South Sulawesi, but for regions such as western and western South Sulawesi. South, North Sulawesi, West Sulawesi and Southeast Sulawesi whose areas have the monsoonal rainfall type, this forecast has a relatively small bias. For the prediction results of ECMWF system 4 after bias correction using Linear Scaling (LS) and Quantile Mapping (QM), it turns out that it has a value close to its observation value, but of the two bias methods, the LS method has the best performance.

Mendeteksi Fase T Gempabumi Outer Rise Selatan Bali 18 Maret 2020 Menggunakan Seismometer Broadband dan Short – Period I Putu Dedy Pratama; Emi Ulfiana; Pande Komang Gede Arta Negara
Buletin GAW Bariri Vol 1 No 2 (2020): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Earthquakes in the outer rise area are quite rare, but have the potential for large energy accumulations and the impact of tsunamis. On 18 March 2020 an earthquake of magnitude M6.3 occurred at the epicenter coordinates of 11.4 latitude and 115.04 east longitude with a depth of 10 km. The earthquake signal of the outer rise is very interesting to study and compare the results of its recording with different sensors because it brings the T phase in its propagation. At the Denpasar Geophysics Station there is a Trilum 120P seismometer and the DS 04A short-period seismometer located side by side succeeded in recording the earthquake. The results of this recording are compared with the signal correlation to measure the correlation value between the results of the Trilium 120P recording and DS 04A. Previously the two signals were removed from the effect of the instrument response with the gain and polish values of each sensor. The purpose of this study was to determine the phase T recorded on the two sensors of the Denpasar Geophysics Station. The results of this study indicate that the signal recording from broadband and Short-period seismometers show a high correlation value of 0.9963. This value increases thanks to the convolution of the influence of the instrument which previously had a correlation of 0.4536. Phase T is not visible on the signal recording in time series but appears on the spectrum <1 Hz in both Broadband and Short-period sensors.

Peluang bencana banjir pada saat hujan lebat dan sangat lebat di kawasan Pantura Provinsi Jawa BaratPeluang Bencana Banjir Pada Saat Hujan Lebat dan Sangat Lebat di Kawasan Pantura Provinsi Jawa Barat Dimas Yudistira; Rheinhart Christian Hamonangan Hutauruk
Buletin GAW Bariri Vol 2 No 1 (2021): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

West Java Province is one of the areas with the potential for flooding. This is due to the topographical characteristics of the lowlands where there are many tributaries and the high population density which increases every year, causing damage to the ecosystem. One of the factors causing flooding is rainfall that is high above normal, so that the water diversion system consisting of natural rivers and creeks as well as the existing artificial flood drainage and canal systems is unable to accommodate the accumulated rainwater so that it overflows. Many factors cause rainfall in Indonesia to be above normal, one of which is due to the influence of the El Niño South Oscillation (ENSO) in this case La Niña. Anticipation of facing heavy rainy season due to La Niña needs to be increased, in accordance with the high threat of disasters. In this study, using the Conditional Probability method to see the chance of flooding in the northern region of West Java which consists of Bekasi, Karawang, Subang and Indramayu. The data used in the study were rainfall from 9 rain posts with a time span from 1981–2010. This research resulted in a potential flood opportunity value in Karawang regency 83.33% represented by the Purwakarta rain station during heavy rains, while in Subang district it showed a flood probability value of 66.67% represented by the Wanayasa rain post during heavy rains, for Bekasi district the opportunity value The resulting flood was 83.33% which was represented by the Mt. Mas that happened when it rained heavily.

Prediksi Curah Hujan Harian di Stasiun Meteorologi Kemayoran Menggunakan Artificial Neural Network (ANN) Richard Mahendra Putra; Nurhastuti Anjar Rani
Buletin GAW Bariri Vol 1 No 2 (2020): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Forecasting the weather conditions is very important to support all community activities. An accurate weather forecast requires knowledge and experience from weather forecasters and is supported by weather modelling technology. In this study, a rainfall intensity modelling was carried out using an artificial neural network (ANN) at the Kemayoran Meteorological Station. In the process of making ANN models, data training is required using past weather conditions. The data used for training in making ANN models are daily weather data for January 2011 until December 2019, which was then tested using a case study from January until August 2020. Model variations are made based on the type of input and the number of hidden layers to determine differences in the use of the predictor data. The ANN model was then created using 3 layers consisting of input layer, hidden layer, and output layer. Furthermore, the model’s comparison is tested using the correlation coefficient (R) and mean absolute error (MAE) to determine the best model. Based on the research results, rainfall prediction using input parameter data for daily weather conditions consist of temperature, humidity, and sunshine has a correlation coefficient (R) is 0.3 – 0.5 and a mean absolute error (MAE) is 9.7 – 9.8 mm. Meanwhile, if the model is made with the rainfall input parameter in the previous days, the correlation coefficient (R) is only 0.1 – 0.3 with the mean absolute error (MAE) is 11.3 – 12.3 mm. This condition indicates that a better predictor to predict daily rainfall using an artificial neural network is to use the input parameter of surface weather conditions.

Asesmen Katalog Gempabumi di Wilayah PGR III Sebelum dan Setelah Penambahan Sensor Seismik Tahun 2019 Menggunakan Magnitude Completeness I Putu Dedy Pratama; Mario Charlos Rohi Koten; Pande Komang Gede Arta Negara
Buletin GAW Bariri Vol 2 No 1 (2021): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

To improve the quality of earthquake information, 8 seismic sensors were added in the PGR III region in 2019 and began to be used in earthquake analysis by 4 geophysical stations in early 2020. The results of the analysis are in the form of an earthquake catalog that needs to be evaluated to see the impact of adding sensors to the magnitude completeness from the catalog. The data used from the Sistem Penentu Keputusan (SPK) earthquakes catalog in the PGR III region with data before the addition of new sensors using 2019 data and after addition using 2020 data. To determine the changes in the completeness of the earthquake catalog, the Magnitude Completeness (Mc) was calculated using four methods (Maximum Curvature (MAXC), Goodness–of–Fit Test (GFT), Mc by b – value Stability (MBS), Entire Magnitude Range (EMR), dan Entire Magnitude Range (EMR)) in the catalog before and after adding 8 declustered seismic sensorsIn addition, spatial and temporal analysis was conducted to determine the time and space that experienced changes in Mc. There was a decrease in the value of Mc in the MAXC and MBS methods in the catalog after the addition of new sensors, while the GFT and EMR methods had the same values for both the 2019 and 2020 catalogs. Before adding new sensors Mc values range between 1.4–2.8 and after adding new sensors the Mc value ranges between 0.9–2.8. Spatially, the value of Mc, measured by the seismic activity in the area as well as the density of the sensor distribution where the denser the sensor distribution and increasing the seismic activity can reduce the value of the Mc. With the addition of seismic sensors that can improve the completeness of the earthquake catalog in the PGR III region in earthquake analysis. This can be seen from the decrease in the value of Mc in the area with the addition of new sensors and the decrease in the gradient of the Mc value with time.

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Solih Alfiandy

Contact Email solihalfiandy@gmail.com

Phone +6281298885453

Journal Mail Official buletingawbariri@gmail.com

Editorial Address Jl. Sapta Marga No.1, Birobuli Utara, Kec. Palu Selatan, Kota Palu, 94231, Provinsi Sulawesi Tengah

Location Kota palu, Sulawesi tengah INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Solih Alfiandy

Contact Email
solihalfiandy@gmail.com

Phone
+6281298885453

Journal Mail Official
buletingawbariri@gmail.com

Editorial Address
Jl. Sapta Marga No.1, Birobuli Utara, Kec. Palu Selatan, Kota Palu, 94231, Provinsi Sulawesi Tengah

Location
Kota palu,

Sulawesi tengah

INDONESIA