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COMPARISON OF TOTAL SUSPENDED PARTICULATE (TSP) MEASUREMENT IN URBAN AND SUBURBAN AREAS OF BALI DURING NYEPI DAY 2015 Nuraini, Tri Astuti; Permana, Donaldi Sukma; Satyaningsih, Ratna; Anggraeni, Rian; Aldrian, Edvin
Forum Geografi Vol 33, No 2 (2019): December 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v33i2.8670

Nyepi or the Balinese Day of Silence (DOS) is a day when people celebrate every New Year according to the Balinese calendar (Saka). On that day, all resident activities were very restricted, with no outdoor activities. This event, which only lasted for 24 hours, is a unique period to conduct air quality measurements such as Total Suspended Particulate (TSP) for assessing the influence of human activities. This study only focuses on TSP monitoring before, during and after the DOS and its comparison with the meteorological data. TSP concentration measurements were conducted in 2 urban areas (Badung and Ubung) and a sub-urban area (Singaraja) from March 17 to March 25, 2015. The results show that TSP concentrations are negatively correlated with temperature and wind speed at each location. Hourly TSP concentrations during DOS are lower than the averaged TSP concentrations before and after DOS. During DOS, TSP concentrations decreased significantly in urban areas by 73-78% relative to regular days, which is likely due to drastically decreasing of human activities. In suburban areas, the decrease of TSP concentration was about 59%. These results show that human activities highly influence the air quality.

Analisis Kimia dan Kualitas Air Hujan di Kota Palu Sebagai Penyebab Terjadinya Hujan Asam Alfiandy, Solih; Permana, Donaldi Sukma; Nugraha, Muharam Syam; Aulia Putri, Isna Jutika
Jurnal Riset Kimia Vol 12, No 1 (2021): March
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jrk.v12i1.368

Acidic compounds such as sulfur dioxide (SO2) and nitrogen oxides (NOx), which are generally emitted into the atmosphere by human activities from burning fossil fuels, motor vehicles and industry, react with water and oxygen to produce acidic rain that falls to the earth's surface. This study aims to investigate the quality of rainwater chemical compounds at the Mutiara Palu Meteorological Station using 282 samples derived from the BMKG Air Quality Database during February 1993 â€“ January 2020. The method used are descriptive analysis and correlation analysis to determine the relationship between chemical compound reactions that occur in the rainwater in Palu City. The results showed that the chemical compounds in rainwater in Palu City were dominated by strong acid compounds in the form of Cl-, SO42-, and NO3- compounds with a percentage of 63% and the most dominant quality was in the acidic rain category with a pH value below 5.6, as much as 55.7%. Chemical compounds contained in rainwater in Palu City are mineral compounds that originated from natural form of minerals, particularly from sea salt. The relationship between chemical compounds contained in rainwater has varied values and is in the low to moderate category. In general, the results indicate that the quality of rainwater in Palu City is low and not recommended for health and the environment.

TREN CURAH HUJAN BERBASIS DATA SINOPTIK BMKG DAN REANALISIS MERRA-2 NASA DI PROVINSI SULAWESI TENGAH Alfiandy, Solih; Permana, Donaldi Sukma
Jurnal Sains & Teknologi Modifikasi Cuaca Vol. 21 No. 2 (2020): December 2020
Publisher : BPPT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/jstmc.v21i2.4132

Perubahan iklim dapat mempengaruhi perubahan pola dan intensitas curah hujan. Kajian iklim di Provinsi Sulawesi Tengah sangat penting dilakukan sebagai bahan pertimbangan dalam pengambilan kebijakan di bidang pertanian dan sektor lainnya. Penelitian ini bertujuan untuk mengetahui tren perubahan total curah hujan dan kejadian hujan ekstrem di Provinsi Sulawesi Tengah berdasarkan data dari stasiun sinoptik BMKG dan model reanalisis The Modern-Era Retrospective Analysis for Research and Applications Version 2 dari The National Aeronautics and Space Administration (MERRA-2 NASA) periode 1980-2017. Hasil menunjukkan bahwa kedua data memiliki kemiripan pola musim hujan dan hubungan korelasi positif yang signifikan dengan nilai koefisien determinasi (R2) sebesar 0,59-0,78 kecuali kota Palu dengan R2 = 0,14. Hal ini menunjukkan bahwa data MERRA-2 berpotensi untuk mengisi data kosong yang terdapat pada stasiun sinoptik BMKG di masa lalu. Selain itu, kedua data menunjukkan tren peningkatan total curah hujan, tren penurunan jumlah hari hujan <5 mm/hari, dan tren peningkatan jumlah hari hujan >50 mm/hari (ekstrem) per tahun. Tren peningkatan total hujan tahunan berkisar antara 4,68-52,40 mm/tahun dengan tren tertinggi terjadi di Kabupaten Poso, sebagian Kabupaten Sigi, Tojo Una-Una, Morowali Utara dan Morowali. Sedangkan tren terendah terjadi di Kabupaten Banggai, Banggai Kepulauan dan Banggai Laut. Tren peningkatan curah hujan bulanan tertinggi terjadi pada bulan April di Poso (4,8 mm/tahun), bulan Januari di Toli-Toli (3,6 mm/tahun) dan bulan Juni di wilayah Luwuk Banggai (2,8 mm/tahun) serta Palu (4,1 mm/tahun). Informasi ini dapat digunakan sebagai bahan pertimbangan dalam kebijakan terkait adaptasi dan mitigasi perubahan iklim di Provinsi Sulawesi Tengah.

TREN CURAH HUJAN BERBASIS DATA SINOPTIK BMKG DAN REANALISIS MERRA-2 NASA DI PROVINSI SULAWESI TENGAH Solih Alfiandy; Donaldi Sukma Permana
Jurnal Sains & Teknologi Modifikasi Cuaca Vol. 21 No. 2 (2020): December 2020
Publisher : BPPT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/jstmc.v21i2.4132

Perubahan iklim dapat mempengaruhi perubahan pola dan intensitas curah hujan. Kajian iklim di Provinsi Sulawesi Tengah sangat penting dilakukan sebagai bahan pertimbangan dalam pengambilan kebijakan di bidang pertanian dan sektor lainnya. Penelitian ini bertujuan untuk mengetahui tren perubahan total curah hujan dan kejadian hujan ekstrem di Provinsi Sulawesi Tengah berdasarkan data dari stasiun sinoptik BMKG dan model reanalisis The Modern-Era Retrospective Analysis for Research and Applications Version 2 dari The National Aeronautics and Space Administration (MERRA-2 NASA) periode 1980-2017. Hasil menunjukkan bahwa kedua data memiliki kemiripan pola musim hujan dan hubungan korelasi positif yang signifikan dengan nilai koefisien determinasi (R2) sebesar 0,59-0,78 kecuali kota Palu dengan R2 = 0,14. Hal ini menunjukkan bahwa data MERRA-2 berpotensi untuk mengisi data kosong yang terdapat pada stasiun sinoptik BMKG di masa lalu. Selain itu, kedua data menunjukkan tren peningkatan total curah hujan, tren penurunan jumlah hari hujan <5 mm/hari, dan tren peningkatan jumlah hari hujan >50 mm/hari (ekstrem) per tahun. Tren peningkatan total hujan tahunan berkisar antara 4,68-52,40 mm/tahun dengan tren tertinggi terjadi di Kabupaten Poso, sebagian Kabupaten Sigi, Tojo Una-Una, Morowali Utara dan Morowali. Sedangkan tren terendah terjadi di Kabupaten Banggai, Banggai Kepulauan dan Banggai Laut. Tren peningkatan curah hujan bulanan tertinggi terjadi pada bulan April di Poso (4,8 mm/tahun), bulan Januari di Toli-Toli (3,6 mm/tahun) dan bulan Juni di wilayah Luwuk Banggai (2,8 mm/tahun) serta Palu (4,1 mm/tahun). Informasi ini dapat digunakan sebagai bahan pertimbangan dalam kebijakan terkait adaptasi dan mitigasi perubahan iklim di Provinsi Sulawesi Tengah.

Analisis Kimia dan Kualitas Air Hujan di Kota Palu Sebagai Penyebab Terjadinya Hujan Asam Solih Alfiandy; Donaldi Sukma Permana; Muharam Syam Nugraha; Isna Jutika Aulia Putri
Jurnal Riset Kimia Vol. 12 No. 1 (2021): March
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jrk.v12i1.368

Acidic compounds such as sulfur dioxide (SO2) and nitrogen oxides (NOx), which are generally emitted into the atmosphere by human activities from burning fossil fuels, motor vehicles and industry, react with water and oxygen to produce acidic rain that falls to the earth's surface. This study aims to investigate the quality of rainwater chemical compounds at the Mutiara Palu Meteorological Station using 282 samples derived from the BMKG Air Quality Database during February 1993 â€“ January 2020. The method used are descriptive analysis and correlation analysis to determine the relationship between chemical compound reactions that occur in the rainwater in Palu City. The results showed that the chemical compounds in rainwater in Palu City were dominated by strong acid compounds in the form of Cl-, SO42-, and NO3- compounds with a percentage of 63% and the most dominant quality was in the acidic rain category with a pH value below 5.6, as much as 55.7%. Chemical compounds contained in rainwater in Palu City are mineral compounds that originated from natural form of minerals, particularly from sea salt. The relationship between chemical compounds contained in rainwater has varied values and is in the low to moderate category. In general, the results indicate that the quality of rainwater in Palu City is low and not recommended for health and the environment.

PERBANDINGAN LUARAN MODEL GLOBAL ATMOSFER CCAM dan GFS di wilayah INDONESIA DAN SEKITARNYA Donaldi Sukma Permana
Widyariset Vol 13, No 3 (2010): Widyariset
Publisher : Pusbindiklat - LIPI

The aim of this research was to compare Conformal Cubic Atmospheric Model (CCAM) and Global Forecast System (GFS) prediction against GFS initial condition as control up to 7 days in the future over Indonesia and northern subtropical regions of Indonesia in September – October – November (SON) 2008. Comparison was conducted in spatially to observe the similarity pattern by calculating spatial correlation value for some basic parameters in several pressure vertical levels. The result described that output of both models showed general similarity pattern in SON 2008 over Indonesia and northern subtropical regions of Indonesia, obtained spatial correlation values indicated GFS prediction was slightly better compared by CCAM prediction. For some parameters, CCAM output showed a particular problem in low-pressure vertical level (250mb). There was probably a problem with the vertical interpolation of the GFS initial data onto the CCAM conformal-cubic grid.

Comparison of Total Suspended Particulate (TSP) Measurement in Urban and Suburban Areas of Bali during Nyepi Day 2015 Tri Astuti Nuraini; Donaldi Sukma Permana; Ratna Satyaningsih; Rian Anggraeni; Edvin Aldrian
Forum Geografi Vol 33, No 2 (2019): December 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v33i2.8670

Nyepi or the Balinese Day of Silence (DOS) is a day when people celebrate every New Year according to the Balinese calendar (Saka). On that day, all resident activities were very restricted, with no outdoor activities. This event, which only lasted for 24 hours, is a unique period to conduct air quality measurements such as Total Suspended Particulate (TSP) for assessing the influence of human activities. This study only focuses on TSP monitoring before, during and after the DOS and its comparison with the meteorological data. TSP concentration measurements were conducted in 2 urban areas (Badung and Ubung) and a sub-urban area (Singaraja) from March 17 to March 25, 2015. The results show that TSP concentrations are negatively correlated with temperature and wind speed at each location. Hourly TSP concentrations during DOS are lower than the averaged TSP concentrations before and after DOS. During DOS, TSP concentrations decreased significantly in urban areas by 73-78% relative to regular days, which is likely due to drastically decreasing of human activities. In suburban areas, the decrease of TSP concentration was about 59%. These results show that human activities highly influence the air quality.

PERBANDINGAN LUARAN MODEL GLOBAL ATMOSFER CCAM dan GFS di wilayah INDONESIA DAN SEKITARNYA Donaldi Sukma Permana
Widyariset Vol 13, No 3 (2010): Widyariset
Publisher : Pusbindiklat - LIPI

The aim of this research was to compare Conformal Cubic Atmospheric Model (CCAM) and Global Forecast System (GFS) prediction against GFS initial condition as control up to 7 days in the future over Indonesia and northern subtropical regions of Indonesia in September – October – November (SON) 2008. Comparison was conducted in spatially to observe the similarity pattern by calculating spatial correlation value for some basic parameters in several pressure vertical levels. The result described that output of both models showed general similarity pattern in SON 2008 over Indonesia and northern subtropical regions of Indonesia, obtained spatial correlation values indicated GFS prediction was slightly better compared by CCAM prediction. For some parameters, CCAM output showed a particular problem in low-pressure vertical level (250mb). There was probably a problem with the vertical interpolation of the GFS initial data onto the CCAM conformal-cubic grid.

Pola Peningkatan Suhu Udara Berdasarkan Data Bmkg Dan Era5 Di Provinsi Sulawesi Tengah Solih Alfiandy; Imron Ade Rangga; Donaldi Sukma Permana
Jurnal Analisis Kebijakan Kehutanan Vol 19, No 1 (2022): Jurnal Analisis Kebijakan Kehutanan
Publisher : Centre for Research and Development on Social, Economy, Policy and Climate Change

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20886/jakk.2022.19.1.63-70

Studies on the trend analysis of surface air temperature have never been conducted in Central Sulawesi Province. This study aims to determine changes in the average surface air temperature trend in Central Sulawesi Province period 1981 to 2019. Linear regression analysis is used to identify the trend of temperature changes over a certain period. The results show that the average surface air temperature is significantly increased by 0.015–0.045°C per year (p < 0.05). The results provide the information on climate change analysis that the average surface air temperature has increased in Central Sulawesi Province over 39 years.

Dampak Asimilasi Data Radar Produk Cappi pada Prediksi Kejadian Hujan Lebat di Jabodetabek Menggunakan Model WRF-3DVAR Jaka Anugrah Ivanda Paski; Donaldi Sukma Permana; Miranti Indri Hastuti; Rahayu Sapta Sri Sudewi
Jurnal Meteorologi dan Geofisika Vol 20, No 1 (2019)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Penelitian ini dilakukan untuk mengevaluasi dampak asimilasi data radar pada model WRF untuk prediksi kejadian hujan ekstrim di wilayah Jabodetabek pada tanggal 11 Desember 2017 yang disebabkan oleh angin monsun barat serta adanya konvergensi dan shearline di wilayah utara Pulau Jawa. Dua eksperimen model WRF dengan data inisial Global Forecast System (GFS) pukul 00.00 UTC dilakukan untuk memprediksi 24 jam ke depan, yaitu (1) tanpa asimilasi data dan (2) dengan asimilasi data reflektifitas radar cuaca dengan teknik 3DVAR. Analisis dilakukan dengan membandingkan parameter mixing ratio dan curah hujan dari data inisial kedua eksperimen. Uji skill dan keandalan model dalam prediksi curah hujan dilakukan dengan verifikasi luaran model pada 5 stasiun pengamatan di Bandara Sekarno-Hatta (Soetta), Pondok Betung (Ponbet), Kemayoran, Tanjung Priok dan Citeko menggunakan teknik dikotomi (penggolongan hujan/tidak hujan). Hasil menunjukan bahwa data reflektifitas radar (Z) berdampak pada perubahan nilai prediksi parameter mixing ratio yang berpengaruh terhadap pertumbuhan awan di wilayah Jabodetabek. Analisis skill Percent Correct (PC), Probabilty of Detection (POD) dan False Alarm Ratio (FAR) menunjukan adanya perbaikan pada eksperimen model dengan asimilasi data radar 3DVAR. Selain itu, analisis skill pada stasiun pengamatan Soekarno-Hatta selalu menunjukan nilai terbaik dibandingkan dengan stasiun pengamatan lainnya yang berjarak lebih jauh dari radar cuaca. Penelitian ini dengan jelas menyarankan bahwa asimilasi data (3DVAR) memiliki dampak positif dan perbaikan prakiraan pada simulasi kejadian hujan ekstrim.

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