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All Journal JURNAL SUMBER DAYA AIR INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Dodo Gunawan
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Energy Engineering Environmental Science

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Simulasi Kebutuhan Air untuk Tanaman Padi Pada Skenario Perubahan Iklim di Daerah Aliran Sungai Lembang-Sumani Sugeng Nugroho; Rudi Febriamansyah; Eri Gas Ekaputra; Dodo Gunawan
JURNAL SUMBER DAYA AIR Vol 15, No 1 (2019)
Publisher : Bina Teknik Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1311.892 KB) | DOI: 10.32679/jsda.v15i1.423

Abstract

Dampak perubahan iklim sangat signifikan berpengaruh pada sektor pertanian, mengingat keberlangsungan pertanian bergantung mutlak dengan kondisi iklim. Perubahan iklim yang terjadi pada suatu wilayah sangat tergantung sensitivitas faktor lokal dalam merespon perubahan iklim global yang terjadi, sehingga sangat penting untuk melakuakn koreksi data perubahan iklim global dengan data observasi di lokasi. CDFDM merupakan salah satu metode koreksi bias yang dapat digunakan untuk melakukan koreksi tersebut. Kebutuhan air untuk tanaman dan irigasi dihitung dengan model CROPWAT. Hasil analisis menujukan proyeksi unsur iklim di lokasi penelitian menunjukan pada umumnya mengalami peningkatan. Peningkatan terbesar dialami curah hujan hingga 47.5% pada tahun 2040 jika iklim berubah dengan skenario RCP8.5 dan rata-rata mengalami peningkatan antara 18-20% pada tahun 2020-2040, baik pada skenario RCP4.5 dan RCP8.5. Suhu udara akan mengalami peningkatan antara 4-6% pada tahun 2020-2040 pada skenario RCP4.5 dan RCP8.5. Sedangkan peningkatan suhu udara terbesar per dekade terbesar sekitar 8.1% pada tahun 2040 pada skenario RCP8.5. Proyeksi kebutuhan air untuk tanaman secara umum mengalami peningkatan seiring dengan semakin tingginya proyeksi curah hujan dan suhu udara, kecuali untuk lokasi penelitian Sumani, yang mengalami defisit kebutuhan curah hujannya sehingga diperlukan air irigasi, pada musim tanam bulan Mei-Agustus.
APPLICATION OF OPEN AIR MODEL (R PACKAGE) TO ANALYZE AIR POLLUTION DATA Intan Agustine; Hernani Yulinawati; Endro Suswantoro; Dodo Gunawan
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY Volume 1, Number 1, October 2017
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1347.307 KB) | DOI: 10.25105/urbanenvirotech.v1i1.2430

Abstract

Air pollution problem is faced by many countries in the world. Ambient air quality studies and monitoring need a long time period of data to cover various atmospheric conditions, which create big data. A tool is needed to make easier and more effective to analyze big data. Aims: This study aims to analyze various application of openair model, which is available in open-source, for analyzing urban air quality data. Methodology and results: Each pollutant and meteorological data were collected through their sampling-analysis methods (active, passive or real-time) from a certain period of time. The data processed and imported in the openair model were presented in comma separated value (csv) format. The input data must consist of date-time, pollutant, and meteorological data. The analysis is done by selecting six functions: theilSen for trend analysis, timeVariation for temporal variations, scatterPlot for linear correlation analysis, timePlot for fluctuation analysis, windRose for wind rose creation, and polarPlot for creating pollution rose. Results from these functions are discussed. Conclusion, significance and impact study: Openair model is capable of analyzing a long time air quality data. Application of openair model is possible to cities in Indonesia that already monitor ambient air quality but have not analyzed the data yet
UTILIZATION OF NEAR REAL-TIME NOAA-AVHRR SATELLITE OUTPUT FOR EL NIÑO INDUCED DROUGHT ANALYSIS IN INDONESIA (CASE STUDY: EL NIÑO 2015 INDUCED DROUGHT IN SOUTH SULAWESI) Amsari Mudzakir Setiawan; Yonny Koesmaryono; Akhmad Faqih; Dodo Gunawan
International Journal of Remote Sensing and Earth Sciences Vol. 13 No. 2 (2016)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2016.v13.a2450

Abstract

Drought is becoming one of the most important issues for government and policy makers. National food security highly concerned, especially when drought occurred in food production center areas. Climate variability, especially in South Sulawesi as one of the primary national rice production centers is influenced by global climate phenomena such as El Niño Southern Oscillation or ENSO. This phenomenon can lead to drought occurrences. Monitoring of drought potential occurrences in near real-time manner becomes a primary key element to anticipate the drought impact. This study was conducted to determine potential occurrences and the evolution of drought that occurred as a result of the 2015 El Niño event using the Vegetation Health Index (VHI) from the National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) satellite products. Composites analysis was performed using weekly Smoothed and Normalized Difference Vegetation Index (or smoothed NDVI) (SMN), Smoothed Brightness Temperature Index (SMT), Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Health Index (VHI).  This data were obtained from The Center for Satellite Applications and Research (STAR) - Global Vegetation Health Products (NOAA) website during 35-year period (1981-2015). Lowest potential drought occurrences (highest VHI and VCI value) caused by 2015 El Niño is showed by composite analysis result. Strong El Niño induced drought over the study area indicated by decreasing VHI value started at week 21st. Spatial characteristic differences in drought occurrences observed, especially on the west coast and east coast of South Sulawesi during strong El Niño. Weekly evolution of potential drought due to the El Niño impact in 2015 indicated by lower VHI values (VHI < 40) concentrated on the east coast of South Sulawesi, and then spread to another region along with the El Nino stage. Â
Co-Authors Akhmad Faqih Amsari Mudzakir Setiawan Ekaputra, Eri Gas Endro Suswantoro Hernani Yulinawati Intan Agustine Rudi Febriamansyah Sugeng Nugroho Yonny Koesmaryono