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All Journal JURNAL METEOROLOGI DAN GEOFISIKA Jurnal Meteorologi dan Geofisika
Agusta Kurniawan
Badan Meteorologi Klimatologi Dan Geofisika (BMKG)
Earth & Planetary Sciences Energy Physics

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PEMBUATAN MODEL SEDERHANA PENGARUH GAS CO2, SO2 DAN NO2 TERHADAP TINGKAT KEASAMAN AIR HUJAN Agusta Kurniawan
Jurnal Meteorologi dan Geofisika Vol 12, No 1 (2011)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1488.971 KB) | DOI: 10.31172/jmg.v12i1.82

Abstract

Telah dilakukan pembuatan model sederhana menggunakan pengaruh gas CO2,SO2 dan NO2 terhadap tingkat keasaman (pH) air hujan. Pengukuran gas Co2, SO dan NO dilakukan dengan metode monitoring terus-menerus. Gas CO diukur dengan instrumen 2 Picarro analyzer G1301 dengan metode CRDS, gas NO2 diukur dengan instrumen TS42-TL dengan metode Chemiluminescence, sedangkan gas SO2 diukur dengan instrumen TS43i-TLE dengan metode UV Fluorescence.Dari tiga macam gas tersebut muncul 7 macam skenario model. Besarnya pengaruh gas CO2, SO2 dan NO2 dihitung, kemudian dibandingkan dengan pH air hujan observasi. Besarnya nilai Korelasi Pearson digunakan sebagai indikator pemilihan skenario model yang sesuai. Hasil perhitungan menunjukkan bahwa tingkat keasaman air hujan di SPAG Bukit Kototabang pada bulan April 2009 dipengaruhi oleh campuran gas CO2 dan gas NO2, pada bulan Mei 2009 dipengaruhi oleh gas CO2 saja, pada bulan Juni 2009 dipengaruhi oleh campuran gas CO2 dan gas SO2. Data tingkat keasaman air hujan bulan April, Mei dan Juni 2009 dibandingkan dengan model ini mengkonfirmasi bahwa kondisi udara di lingkungan sekitar SPAG Bukit Kototabang masih bersih. Simple model has been created using effect of CO2, SO2 and NO2 on the level of rain water acidity (pH). Measurement of gases (CO2, SO2 and NO2) are conducted using continuous monitoring program. CO2 is measured by Picarro G1301 analyzer with CRDS method, NO2 is measured by TS42-TL analyzer with Chemiluminescence method, while SO2 gas is measured with TS43i-TLE analyzer with UV Fluorescence method. Three kinds of gas make 7 different scenario models. The amount of the influence of CO2, SO2 and NO2 is calculated, then acidy result from calcutation compared with its observation. Pearson correlation value is used as an indicator of an appropriate selection of model scenarios. The results show that acidity level of rainwater in GAW Bukit Kototabang Station in April 2009 was influenced by a mixture of CO2 and NO2 gases, in May 2009 was affected by CO2 alone, in June 2009 wasinfluenced by a mixture of CO2 and SO2 gas. The Data of acidity level of rain water in April, May and June 2009 compared with this model confirmed that air condition in environment around of Bukit Kototabang GAW Station still cleanness.
SATU TAHUN PEMANTAUAN KONSENTRASI GAS RUMAH KACA (N2O) DI BUKIT KOTOTABANG: STUDI PENGARUH FAKTOR METEOROLOGI DAN LINGKUNGAN Agusta Kurniawan
Jurnal Meteorologi dan Geofisika Vol 16, No 3 (2015)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4439.868 KB) | DOI: 10.31172/jmg.v16i3.287

Abstract

Penelitian telah dilakukan  untuk mengkaji pengaruh faktor-faktor meteorologi dan lingkungan terhadap konsentrasi gas rumah kaca (N2O) di Bukit Kototabang. Faktor-faktor meteorologi dan lingkungan yang dianalisa adalah temperatur udara, tekanan udara, kelembaban udara, kelembaban tanah, temperatur tanah dan konsentrasi NO. Pengukuran konsentrasi N2O dilakukan dengan Thermo Scientific™ IRIS 4600 Mid-IR Laser-Based N2O Analyzer dengan menggunakan sumber cahaya laser Infra merah menengah. Data faktor-faktor meteorologi diperoleh dari instrumen Meteorological Automatic Weather Station (MAWS). Sedangkan data faktor lingkungan diperoleh dari Agroclimate Automatic Weather Station (AAWS) dan TS42i-TL. Periode data dibagi menjadi perjam, perhari dan perbulan untuk mengetahui variasi dan pola siklusnya. Berdasarkan analisis korelasi Pearson parameter kelembaban tanah dan temperatur tanah dominan terhadap konsentasi N2O dengan nilai sebesar R>0,5 atau R<-0,5 pada hampir semua bulan pengamatan. Nilai korelasi Pearson untuk variasi bulanan yang bernilai baik dengan ditunjukkan untuk hubungan antara konsentrasi N2O dengan temperatur tanah kedalaman 100 cm (R=0,75), temperatur tanah kedalaman 10 cm (R=0,63), dan kelembaban tanah kedalaman 100 cm (R= 0,54). This research has been conducted to examine the influence of meteorological and environmental factors against the concentration of greenhouse gases (N2O) in Bukit Kototabang. Meteorological and environmental factors studied were air temperature, air pressure, humidity, soil moisture, soil temperature, and the concentration of NO. N2O concentration measurement was performed using Thermo Scientific™ IRIS 4600 Mid-IR Laser-Based N2O Analyzer with infrared laser light source medium. The meteorological factor data were obtained from the Automatic Agroclimate Weather Station (AAWS) and Meteorological Automatic Weather Station (MAWS). While the environmental factor studied in this research was NO. NO concentration was measured using TS42i-TL. The data period was divided into hourly, daily, and monthly variations and also its patterns to determine the cycle. Based on Pearson correlation analysis, soil moisture and soil temperature parameters were dominant to concentrations of N2O in the amount of R> 0.5 or R <-0.5 in almost all months of observation. Pearson correlation values for the monthly variations showed good value by demonstrating the relationship between the concentration of N2O by soil temperature-depth of 100 cm (R = 0.75), the temperature of the soil depth of 10 cm (R = 0.63), and soil moisture depth of 100 cm (R = 0.54).
SATU TAHUN PEMANTAUAN KONSENTRASI GAS RUMAH KACA (N2O) DI BUKIT KOTOTABANG: STUDI PENGARUH FAKTOR METEOROLOGI DAN LINGKUNGAN Agusta Kurniawan
Jurnal Meteorologi dan Geofisika Vol. 16 No. 3 (2015)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v16i3.287

Abstract

Penelitian telah dilakukan  untuk mengkaji pengaruh faktor-faktor meteorologi dan lingkungan terhadap konsentrasi gas rumah kaca (N2O) di Bukit Kototabang. Faktor-faktor meteorologi dan lingkungan yang dianalisa adalah temperatur udara, tekanan udara, kelembaban udara, kelembaban tanah, temperatur tanah dan konsentrasi NO. Pengukuran konsentrasi N2O dilakukan dengan Thermo Scientific™ IRIS 4600 Mid-IR Laser-Based N2O Analyzer dengan menggunakan sumber cahaya laser Infra merah menengah. Data faktor-faktor meteorologi diperoleh dari instrumen Meteorological Automatic Weather Station (MAWS). Sedangkan data faktor lingkungan diperoleh dari Agroclimate Automatic Weather Station (AAWS) dan TS42i-TL. Periode data dibagi menjadi perjam, perhari dan perbulan untuk mengetahui variasi dan pola siklusnya. Berdasarkan analisis korelasi Pearson parameter kelembaban tanah dan temperatur tanah dominan terhadap konsentasi N2O dengan nilai sebesar R>0,5 atau R<-0,5 pada hampir semua bulan pengamatan. Nilai korelasi Pearson untuk variasi bulanan yang bernilai baik dengan ditunjukkan untuk hubungan antara konsentrasi N2O dengan temperatur tanah kedalaman 100 cm (R=0,75), temperatur tanah kedalaman 10 cm (R=0,63), dan kelembaban tanah kedalaman 100 cm (R= 0,54). This research has been conducted to examine the influence of meteorological and environmental factors against the concentration of greenhouse gases (N2O) in Bukit Kototabang. Meteorological and environmental factors studied were air temperature, air pressure, humidity, soil moisture, soil temperature, and the concentration of NO. N2O concentration measurement was performed using Thermo Scientific™ IRIS 4600 Mid-IR Laser-Based N2O Analyzer with infrared laser light source medium. The meteorological factor data were obtained from the Automatic Agroclimate Weather Station (AAWS) and Meteorological Automatic Weather Station (MAWS). While the environmental factor studied in this research was NO. NO concentration was measured using TS42i-TL. The data period was divided into hourly, daily, and monthly variations and also its patterns to determine the cycle. Based on Pearson correlation analysis, soil moisture and soil temperature parameters were dominant to concentrations of N2O in the amount of R> 0.5 or R <-0.5 in almost all months of observation. Pearson correlation values for the monthly variations showed good value by demonstrating the relationship between the concentration of N2O by soil temperature-depth of 100 cm (R = 0.75), the temperature of the soil depth of 10 cm (R = 0.63), and soil moisture depth of 100 cm (R = 0.54).
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