Flood discharge analysis of Brang Ode River as a disaster mitigation effort in Kalimango Village

Flood is a hydrometeorological disaster that often occurs in West Nusa Tenggara, especially in the Brang Ode River, Kalimango Village, Alas District, Sumbawa Regency. One of the worst floods ever happened was on December 12th, 2016, which caused several villages to be inundated and houses along the river to wash away. This study aims to obtain the peak discharge from the worst flood that has ever occurred. This model is simulated using HEC-RAS 5.0.7 and QGIS for mapping the flood inundation area. Terrain data used DEMNAS. The peak discharge is obtained from the modeling results based on the flood inundation area, validated with the flood map from the DESTANA (disaster resilient village) Community of Kalimango Village. The modeling results showed that the peak flood discharge is 950 m3/s, with the inundation area 150,752.07 m2. The actual peak flood discharge can be smaller or larger than the modeling results. It may be affected by the DEMNAS raster data accuracy.

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Perbandingan Perkiraan Debit Puncak Banjir Menggunakan Metode Nakayasu dan Metode FSR Jawa Sumatera untuk DAS Dombo Sayung

Reka Buana Jurnal Ilmiah Teknik Sipil dan Teknik Kimia ◽

10.33366/rekabuana.v5i2.1894 ◽

2020 ◽

Vol 5 (2) ◽

pp. 38

Author(s):

Muhammad Syarifudin ◽

Karuniadi Satrijo Utomo

Keyword(s):

Natural Disaster ◽

Rainy Season ◽

Rainfall Data ◽

Disaster Mitigation ◽

Material Loss ◽

Public Facilities ◽

Flood Discharge ◽

The Impact ◽

Detrimental Impact ◽

Peak Flood

Banjir merupakan salah satu bentuk bencana alam yang hingga saat ini masih belum dapat diselesaikan. Dampak banjir tidak hanya kerugian infrastruktur berupa jalan dan fasilitas umum akan tetapi kerugian materil menjadi bagian dari dampak yang merugikan bagi masyarakan. Padahal, bagi sebagian warga di Semarang dan Kabupaten Demak, banjir menjadi persoalan rutin pada musim penghujan. Daerah yang menjadi langganan banjir di Demak yaitu daerah Sayung, Karang Asem dan Mranggen. Banjir di daerah tersebut sulit diatasi bahkan semakin lama persoalan banjir tersebut semakin parah dan meluas. Dengan demikian penelitian ini bertujuan untuk mengetahui perbandingan perkiraan debit puncak banjir melalui dua metode yang berbeda. Berdasarkan pada hasil maka mitigasi bencana juga dapat ditingkatkan. Metode dalam penelitian ini menggunakan metode Nakayasu dan FSR Jawa Sumatera untuk mengukur debit puncak banjir dengan menggunakan rentang data curah hujan 10 tahun. Adapun hasil analisis menunjukkan bahwa debit banjir yang dianalisis dengan menggunakan metode Nakayasu menghasilkan debit banjir lebih besar daripada analisis debit banjir menggunakan FSR Jawa Sumatera. Hasil analisis dengan menggunakan metode Nakayasu diperoleh nilai terbesar untuk Sungai Penggaron 270,4 m3/detik. Sungai Dombo Sayung 296,4 m3/detik dan Sugai Dolok 332,2 m3/detik. Adapun, untuk Metode FSR Jawa Sumatera diperoleh nilai terbesar untuk Sungai Penggaron 112,7 m3/detik. Sungai Dombo Sayung 239,7 m3/detik dan Sugai Dolok 632,1 m3/detik.Kata kunci : debit banjir; dombo sayung; FSR Jawa Sumatera; nakayasu ABSTRACTFlooding is a form of natural disaster that has yet to be resolved. The impact of flooding is the loss of infrastructure in roads and public facilities, but a material loss is part of the community's detrimental impact. For some residents in Semarang and Demak Regency, flooding is a routine problem during the rainy season. Areas that are regularly flooded in Demak are Sayung, Karang Asem, and Mranggen. Floods in the area are challenging to overcome, even if flooding is getting worse and broader. Thus this study aims to determine the comparison of the estimated peak flood discharge through two different methods. Based on the results, disaster mitigation can also be improved. This study used Nakayasu and Java Sumatera FSR to measure the peak flood discharge using a ten-year rainfall data range. The analysis results show that the flood discharge analyzed using the Nakayasu method produces a more massive flood discharge than the flood discharge analysis using the Java Sumatra FSR. The analysis results using the Nakayasu method obtained the most significant value for the Penggaron River 270.4 m3/second. Sungai Dombo Sayung 296.4 m3/second and Sugai Dolok 332.2 m3/second. Meanwhile, for the Java Sumatra FSR Method, the most significant value was obtained for the Penggaron River 112.7 m3/second. Sungai Dombo Sayung 239.7 m3/second and Sugai Dolok 632.1 m3/second.

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STUDI PEMETAAN DAERAH GENANGAN BANJIR DAS SEI KAMBING DENGAN SISTEM INFORMASI GEOGRAFIS

Teras Jurnal ◽

10.29103/tj.v9i2.233 ◽

2019 ◽

Vol 9 (2) ◽

pp. 165

Author(s):

Asril Zevri

Keyword(s):

River Basin ◽

Return Period ◽

Daily Rainfall ◽

Water Levels ◽

Disaster Mitigation ◽

Flood Inundation ◽

The Public ◽

Inundation Area ◽

Flood Level ◽

The Impact

Sei Sikambing River Basin is one of the Sub Das of Deli River which has an important role in water requirement in Medan City. Rainfall with high intensity is supported by changes in land use causing floods which reach 0.6 m to 1 m from river banks. The purpose of this study was to map the Sei Kambing River basin flood inundation area as information to the public in disaster mitigation efforts. The scope of this research is to analyze the maximum daily rainfall with a return period of 2 to 100 years, analyze flood discharge with a return period of 2 to 100, analyze flood water levels with HECRAS software, and spatially map flood inundation areas with GIS. The results showed that the return flood rate of the Sikambing watershed with a 25-year return period of 211.94 m3/s caused the flood level of the Sikambing watershed to be between 1.7 m to 3.7 m. The Sikambing watershed flood inundation area reached an area of 1.19 Km2 which resulted in the impact of flooding on 5 sub-districts in Medan, namely Medan Selayang District, Medan Sunggal, Medan Petisah, Medan Helvetia, and West Medan.

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Estimation of Peak Flood Discharge for an Ungauged River: A Case Study of the Kunur River, West Bengal

Geography Journal ◽

10.1155/2013/214140 ◽

2013 ◽

Vol 2013 ◽

pp. 1-11 ◽

Cited By ~ 9

Author(s):

Suvendu Roy ◽

Biswaranjan Mistri

Keyword(s):

River Basin ◽

Peak Discharge ◽

Wave Parameter ◽

Sudden Increase ◽

Hydrological Models ◽

Gangetic Plain ◽

Discharge Data ◽

Channel Geometry ◽

Flood Discharge ◽

Peak Flood

Due to unavailability of sufficient discharge data for many rivers, hydrologists have used indirect methods for deriving flood discharge amount, that is, application of channel geometry and hydrological models, for the estimation of peak discharge in the selected ungauged river basin(s) in their research/project works. This paper has studied the estimation of peak flood discharge of the Kunur River Basin, a major tributary of the Ajay River in the lower Gangetic plain. To achieve this objective, field measurements, GIS technique, and several channel geometry equations are adopted. Three important geomorphic based hydrological models—manning’s equation, kinematic wave parameter (KWP), and SCS curve number (CN) method—have been used for computing peak discharge during the flood season, based on daily rainfall data of September, 2000. Peak discharges, calculated by different given models, are 239.44 m3/s, 204.08 m3/s, and 146.52 m3/s, respectively. The hydrograph has demonstrated the sudden increase with heavy rainfall from the 18th to the 22nd of September, 2000. As a result, a havoc flood condition was generated in the confluence zone of Ajay and Kunur Rivers. This hydrograph might be not only successful application for flood forecasting but also for management of the lower Ajay River Basin as well as the downstream area of Kunur Basin.

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SIMULASI KERUNTUHAN BENDUNGAN BILI-BILI KABUPATEN GOWA PROVINSI SULAWESI SELATAN

JOURNAL ONLINE OF PHYSICS ◽

10.22437/jop.v5i1.8117 ◽

2019 ◽

Vol 5 (1) ◽

pp. 24-28

Author(s):

Rustan ◽

Irpan Chumaedi ◽

Linda Handayani

Keyword(s):

Rice Fields ◽

Disaster Mitigation ◽

Flood Inundation ◽

City Center ◽

Inundation Area ◽

Mitigation Planning ◽

Simulation Results ◽

Surrounding Areas ◽

The City ◽

Downstream Area

The extreme weather that occurred on January 22-24, 2019 in the Makassar city and surrounding areas caused massive flooding in the downstream area of the Bili-Bili DAM which covered 5 districts and cities, namely Gowa Regency, Makassar City, Jeneponto Regency, Maros Regency, and Selayar Regency. There 6757 people were displaced and tens of hectares of rice fields and housing were inundated. As a form of evaluation in the context of disaster mitigation efforts if similar or larger events occur in the future, it is very important to do a floods simulation to mapping which areas will be affected by flood inundation if the Bili-Bili DAM collapses. The software used to simulate flooding in this study is HEC-RAS 2D. The object of research is focused in the city of Makassar which is a densely populated city center and other vital objects. The parameters analyzed are the distribution of flood inundation area and the depth of flood inundation. Simulation results that have been calibrated will be used as a reference for disaster mitigation planning.

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The Effect of Greenhouse and Biopore on Community Development of Economy and Knowledge of Citeureup Village During the Pandemic

Journal of Innovation and Community Engagement ◽

10.28932/jice.v2i1.3603 ◽

2021 ◽

Vol 2 (1) ◽

pp. 21-34

Author(s):

Tania Verasta ◽

Ihsan Maulidin ◽

Hapsah Aulia Azzahra ◽

Aulya Sholehah Wataawa Sau Bhis Sobri ◽

Amaliyah Rohsari Indah Utami

Keyword(s):

Food Security ◽

Community Service ◽

Local Food ◽

Practical Knowledge ◽

Disaster Mitigation ◽

Flood Inundation ◽

Village Community ◽

Regional Area ◽

The Village ◽

Engineering Physics

Citeureup Village, RW 06, located in Bandung Regency, West Java Province, is a regional area with low-level economy. The Covid-19 pandemic has made it worse and adding difficulties to the villagers. On the other hand, this area also often experiences flooding with an erratic pattern. Therefore, efforts are needed to improve local food security, economy, and flood disaster mitigation for the Citeureup Village community. Efforts has been made by Telkom University, some through activities carried out by students of the Undergraduate Program in Engineering Physics (TF), which were to carry out community service activities funded by the Village Development and Empowerment Holistic Program (PHP2D) in 2020. These activities were decided by decree number 29/E2/KM/2020. The results of these activities are the construction of a Hydroponic Greenhouse (HG) on ??10m x 4m and biopore infiltration holes as many as 45 hole constructions throughout RW 06 Citeureup Village. Three months after construction, HG's existence has succeeded in improving Citeureup Villagers behavior and practical knowledge in hydroponic and biopore systems from 21% to 98%. As conclusion, Telkom University has succeeded in playing role in improving knowledge, local food security, economy, and reducing flood inundation at Citereup Village.

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Development of flood inundation area GIS database for Samsung-1 drainage sector, Seoul, Korea

Journal of Korea Water Resources Association ◽

10.3741/jkwra.2016.49.12.981 ◽

2016 ◽

Vol 49 (12) ◽

pp. 981-993 ◽

Cited By ~ 5

Author(s):

Minkwan Oh ◽

Dongryul Lee ◽

Hyunhan Kwon ◽

Dongkyun Kim

Keyword(s):

Flood Inundation ◽

Inundation Area ◽

Gis Database

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Flood Inundation Assessment in the Low-Lying River Basin Considering Extreme Rainfall Impacts and Topographic Vulnerability

Water ◽

10.3390/w13070896 ◽

2021 ◽

Vol 13 (7) ◽

pp. 896

Author(s):

Thanh Thu Nguyen ◽

Makoto Nakatsugawa ◽

Tomohito J. Yamada ◽

Tsuyoshi Hoshino

Keyword(s):

River Basin ◽

Extreme Rainfall ◽

Flood Damage ◽

Water Levels ◽

Flood Inundation ◽

Inundation Area ◽

Inundation Depth ◽

Study Results ◽

Inundation Duration ◽

Short Time

This study aims to evaluate the change in flood inundation in the Chitose River basin (CRB), a tributary of the Ishikari River, considering the extreme rainfall impacts and topographic vulnerability. The changing impacts were assessed using a large-ensemble rainfall dataset with a high resolution of 5 km (d4PDF) as input data for the rainfall–runoff–inundation (RRI) model. Additionally, the prediction of time differences between the peak discharge in the Chitose River and peak water levels at the confluence point intersecting the Ishikari River were improved compared to the previous study. Results indicate that due to climatic changes, extreme river floods are expected to increase by 21–24% in the Ishikari River basin (IRB), while flood inundation is expected to be severe and higher in the CRB, with increases of 24.5, 46.5, and 13.8% for the inundation area, inundation volume, and peak inundation depth, respectively. Flood inundation is likely to occur in the CRB downstream area with a frequency of 90–100%. Additionally, the inundation duration is expected to increase by 5–10 h here. Moreover, the short time difference (0–10 h) is predicted to increase significantly in the CRB. This study provides useful information for policymakers to mitigate flood damage in vulnerable areas.

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