Analisis Tren Perubahan Intensitas Hujan (Studi Kasus: Jakarta dan Bogor)

Abstract

Rainfall intensity and drainage channel capacity are the main inputs in flood management infrastructure planning. The Intensity-Duration-Frequency (IDF) curve in a region has a different pattern from other regions. This study examines the temporal distribution pattern of rain and the IDF curve with case studies of the Jakarta and Bogor, represented by Kemayoran Rainfall Station and Citeko Rainfall Station, respectively. This study compared data analysis from the above stations with the ABM Method, Modified Mononobe, Indonesian National Standard for Calculating Flood Discharge, and Indonesian National Standard for Road Surface Drainage Design. The analysis results showed that the rainfall event in the Jakarta and Bogor areas was dominated by events of ≤ 4 hours with the highest percentage of rainfall volume at the beginning of the event (at the first two hours of the event). The observed hourly rainfall data has a significant difference pattern with the rainfall distribution calculated using the ABM and Modified Mononobe methods. The IDF curve obtained from the Base Curve on the Indonesian National Standard for Road Surface Drainage Design gives higher results than the IDF curve of the observation data. Meanwhile, the IDF curve calculated using the Mononobe Equation gives lower results than the IDF curve of the observation data. This study shows that standard design of rainfall duration and rainfall intensity for drainage infrastructure planning and flood management need to be continuously developed based on the latest observational data with better temporal and spatial resolution. Continuous effort in improving codes and design standard needs to be conducted to respond to climate change challenges, dynamic regional developments, and the increasing trend of flood events in Indonesia.

Analysis of Erosion and Sedimentation Rates of Pengga Dam Using MUSLE Method

“…To determine the value of R, it is necessary to determine the value of TC and rain intensity (I) by the Nakayasu method and the Mononobe equation first [28,38]: Flow volume (Vq) can be calculated by multiplying the maximum rainfall value for each year in Table 1 with the coefficient C. Then the R-value can be analyzed with formula (2) as in Table 6 below. Soil erodibility factor (K) in Pengga Dam Catchment Area based on BWS Nusa Tenggara 1 consists of two types of soils: Mediterranean complex, grumusol, grey, regosol, brown and litosol with K coefficient of 0.188 and Complex of brown Mediterranean and reddish brown Mediterranean with K coefficient of 0.323.…”

Urgensi Mitigasi Bencana Banjir Wilayah Kabupaten Ketapang: Kasus Studi Ruas Jalan Sei. Awan Kiri-Desa Tanjungpura

“…Limpasan air permukaan merupakan salah satu indikator yang harus dikaji lebih jauh karena dapat memberikan kontribusi yang besar terhadap terjadinya banjir. Intensitas hujan tinggi di wilayah ketapang bersarkan analisa data stasiun Rahadi Oesman periode 0-60 menit adalah yang paling tinggi pada masing-masing periode ulang sehingga menjadi kontributor utama penyebab banjir di wilayah yang ditinjau [8].…”

Perhitungan Kapasitas Pengaliran Kali Cipinang dari Kelurahan Kebon Pala sampai dengan Banjir Kanal Timur dalam Pengendalian Banjir

“…Untuk menghitung distribusi hujan jamjaman digunakan metode Mononobe (Maitsa et al, 2021) yang dapat dihitung menggunakan persamaan:…”