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APLIKASI SATELIT DALAM MENGESTIMASI EVAPORASI DI DAERAH WADUK (STUDI KASUS: WADUK SAGULING-JAWA BARAT) Suwarman, Rusmawan; Mahardita, Dinda; Junnaedhi, I Dewa Gede A.
Jurnal Sains & Teknologi Modifikasi Cuaca Vol 19, No 2 (2018): December 2018
Publisher : BPPT

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1148.766 KB) | DOI: 10.29122/jstmc.v19i2.3138

Abstract

Estimasi evaporasi di daerah waduk menggunakan metode empiris dengan input data satelit dilakukan untuk mengatasi masalah ketersediaan data meteorologi dari observasi permukaan. Data satelit berupa Land Surface Temperature dari satelit Himawari dan profil atmosfer dari satelit MODIS digunakan untuk memperoleh informasi parameter temperatur, kelembapan relatif dan radiasi matahari untuk mengestimasi besaran evaporasi di daerah waduk. Metode empiris yang digunakan antara lain adalah Blaney-Criddle, Kharuffa, Hargreaves, Schendel dan Schendel yang dimodifikasi (Modified Schendel). Hasil estimasi evaporasi dibandingkan terhadap evaporasi acuan yang dihitung menggunakan metode kombinasi (Penman) dengan input parameter meteorologi hasil observasi. Observasi dilakukan menggunakan Automatic Weather Station di dua titik pengamatan di Waduk Saguling. Hasil penelitian menunjukkan estimasi evaporasi waduk dengan input data satelit dapat dilakukan dengan metode yang ada namun diperlukan modifikasi. Metode estimasi evaporasi waduk yang terbaik adalah Modified Schendel, namun belum bisa menunjukkan variasi spasial yang sesuai observasi. Penggunaan regresi Linier Berganda dan menambahkan parameter radiasi matahari pada Modified Schendel, didapatkan suatu persamaan yang baik secara statistik dan dapat menunjukkan variasi spasial evaporasi di Waduk Saguling yang sesuai observasi.
KAJIAN KETIDAKPASTIAN ESTIMASI CURAH HUJAN SATELIT TRMM STUDI KASUS: DAS CILIWUNG Syahputra, Muhammad Ridho; Fajary, Faiz Rohman; Riawan, Edi; Suwarman, Rusmawan; Putra, Hengki Eko
Bulletin of Geology Vol 6 No 3 (2023): Bulletin of Geology
Publisher : Fakultas Ilmu dan Teknologi Kebumian (FITB), Institut Teknologi Bandung (ITB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/bull.geol.2022.6.3.4

Abstract

Dataset curah hujan (CH) dengan resolusi spasial dan temporal yang baik diperlukan oleh berbagai sector seperti sektor manajemen sumber daya air dan bencana hidrologi. Namun, pengamatan CH secara langsung di permukaan seringkali tidak lengkap dan tidak merata. Sumber alternatif data CH lainnya dapat diperoleh dari estimasi CH oleh satelit (penginderaan jauh). Namun, estimasi satelit memiliki kesalahan dan ketidakpastian yang berpotensi mempengaruhi aplikasi selanjutnya yang menggunakan data hujan. Oleh karena itu, penting untuk mengukurketidakpastian estimasi CH satelit untuk memberikan informasi tambahan bagi pengguna mengenai keandalan data. Pada penelitian ini telah dilakukan simulasi Monte Carlo untuk menghasilkan ensemble Dataset CH yang mampu mengkuantifikasi ketidakpastian produk estimasi CH TRMM (Tropical Rainfall Measuring Mission) 3B43v7. Dataset CH ensemble ini dapat digunakan untuk memberikan informasi tentang distribusi error dan estimasi peluang CH dari estimasi satelit TRMM. Dalam kajian ini juga ditunjukkan pemanfaatan dataset CH ensemble dalam mengkuantifikasi ketidakpastian dalam analisis CH ekstrim menggunakan pendekatan periode ulang dan Probable Maximum Precipitation (PMP). Kata kunci: estimasi satelit, TRMM, ketidakpastian, Monte Carlo, ensemble
Performance Evaluation of a Simple Feed-forward Deep Neural Network Model Applied to Annual Rainfall Anomaly Index (RAI) Over Indramayu, Indonesia Herho, Sandy Hardian Susanto; Irawan, Dasapta Erwin; Fajary, Faiz Rohman; Suwarman, Rusmawan; Kaban, Siti Nurzannah
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.1984

Abstract

Indramayu is a district in West Java that is known for being the leading producer of rice and brackish salt. The production of these two commodities is strongly influenced by hydroclimatological conditions, making accurate and reliable long-term estimates crucial. In this study, we evaluated a simple feed-forward deep neural network (DNN) model that could potentially be used as a candidate for statistical guidance to improve the accuracy of a mesoscale numerical climate model. We used the spatial average of the accumulated annual rainfall of the Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) data as an input time series with a time range from 1981 to 2022. This data was then processed into annual rainfall anomaly index (RAI) data. The Annual RAI was divided into training and test sets, and the feed-forward DNN model was fitted to the annual RAI in the training set. The accuracy of the model was then tested in the test set using the root-mean-square error (RMSE) metric. Our study shows that the feed-forward DNN model is unsuitable for estimating the annual RAI over Indramayu. The RMSE values are significantly high in the training and test sets.
ANALISIS KARAKTERISTIK CURAH HUJAN PENYEBAB BANJIR BERDURASI PANJANG (STUDI KASUS: BANJIR TAHUN 2019 DI BALEENDAH, JAWA BARAT) Simanjuntak, Yogi Sahat Maruli; Suwarman, Rusmawan; Edi, Riawan
JURNAL SUMBER DAYA AIR Vol 19, No 1 (2023)
Publisher : Direktorat Bina Teknik Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32679/jsda.v19i1.821

Abstract

 In 2019, Baleendah experienced flooding with a duration of ± 30 days, this can be seen from the water level which is above the critical point from February 9th – March 12th, 2019, which identified the occurrence of flooding. Based on the spatio-temporal analysis of rainfall in the upstream Citarum watershed that drains to Baleendah, there were differences in the timing of rainfall between northern, southern, and eastern regions, and a semi-diurnal pattern. This study aims to look at the rainfall pattern that causes long-duration flooding in Baleendah. Based on that point, we conducted hydrological simulations using the Hydrologic Engineering Center’s Hydrologic Model System (HEC-HMS) with the assumption that the volume of rainfall is constant.  The rainfall scenarios used were 1) a diurnal scenario where there is a difference in the timing of rainfall between the north, south, and east regions, 2) rainfall scenarios with diurnal and semidiurnal variations, and 3) the semidiurnal scenario is getting closer (the timing between rainfall in the morning and in the night is getting closer) in the north, south, and east regions. The results of this study show that floods are longer in duration and peak discharge is higher when a diurnal pattern occurs. Rainfall is initiated in the eastern and southern regions and a lag in timing rainfall occurred in the northern region.Keywords:      Baleendah, Long duration flood, rainfall time difference, variation of diurnal and semidiurnal, and short semidiurnal 
Hydrogeochemical Analysis to Identify Potential Groundwater Characteristics in the Jayapura Region Wopari, Felice Deglardini; Suwarman, Rusmawan; Iskandar, Irwan
OPHIOLITE: Jurnal Geologi Terapan Vol 7 No 3 (2025): On Progress
Publisher : Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56099/ophi.v7i3.p112-122

Abstract

Hydrogeochemistry and stable isotope δ18O and δ2H are chemical methods used to understand the chemical process of water flows in the aquifer. This study aims to identify the characteristics of groundwater and surface water in the Jayapura area.  Water samples are collected from 87 points throughout the study area. The results of hydrogeochemical analysis on the main ions presented in the piper diagram show that the dominant water type is Ca/Mg-HCO₃-. In addition, other water types such as Ca-HCO₃-, Na-HCO₃-, Mg-SO42-, Ca-Cl, and Na-Cl are found. Rainwater is used as the reference line in the diagram, referred to as LMWL (local meteoric water line), with the equation H = 7.019δ18O + 7.5162 and a correction coefficient of 0.997. Stable isotope analysis of δ18O and δ2H in groundwater and surface water shows that most of the water is within the range of the LMWL reference line. There are two points above the LMWL reference line with Ca-Cl water type. The result of this study indicated that the characteristics of water resources in the Jayapura area are influenced by the interaction between water and mineral weathering near the surface. This interaction provides a natural and good water resource potential in the region.