Applicability of HEC-RAS 2D and GFMS for flood extent mapping: a case study of Sangam area, Prayagraj, India

Kumar, Neeraj; Kumar, M.; Sherring, Arpan; Suryavanshi, Shakti; Ahmad, Ajaz; Lal, Deepak

doi:10.1007/s40808-019-00687-8

Cited by 47 publications

(13 citation statements)

References 14 publications

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“…Using the simulation results, risk maps were developed for different rainfall scenarios. Whereas Kumar et al [21] applied HEC-RAS and Global Flood Monitoring System for flood extent mapping. The authors have reported that the results obtained and observations were in close agreement.…”

Section: Introductionmentioning

confidence: 99%

Application of HEC-RAS (2D) for Flood Hazard Maps Generation for Yesil (Ishim) River in Kazakhstan

Ongdas¹,

Akiyanova²,

Karakulov³

et al. 2020

Water

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The use of hydraulic models for carrying out flood simulations is a common practice globally. The current study used HEC-RAS (2D) in order to simulate different flood scenarios on the River Yesil (Ishim). Comparison of different mesh sizes (25, 50 and 75 m) indicated no significant difference in model performance. However, a significant difference was observed in simulation time. In addition, the inclusion of breaklines showed that there was a slight improvement in model performance and a shortening of the simulation time. Sensitivity analysis and the consequent manual calibration of sensitive parameters resulted in a slight improvement (an increase in the model accuracy from 58.4% for uncalibrated to 59.7% for calibrated). Following the simulations inundation maps for 10-, 20- and 100-year flood events were obtained. Hazard classification of the flood extents generated indicated that the settlements of Zhibek Zholy and Arnasay were flooded in all the simulated events. Volgodonovka village experienced flooding when a 100-year flood event was simulated. On the other hand, settlement No. 42 did not experience any flooding in any of the scenarios. The model results also demonstrate that the Counter-Regulator was not overtopped in the event of the 100-year hydrograph.

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Section: Introductionmentioning

confidence: 99%

Application of HEC-RAS (2D) for Flood Hazard Maps Generation for Yesil (Ishim) River in Kazakhstan

Ongdas¹,

Akiyanova²,

Karakulov³

et al. 2020

Water

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“…The detailed analysis of the papers allowed us to identify and classify the methodologies proposed within ten categories: remote sensing techniques, geographic information systems (GIS) techniques, combined methods (GIS-machine learning, GIS-modeling-simulation), modeling and simulation, statistical analysis, machine learning methods, comparison, survey and interviews, evaluation methods, and statistical and mathematical methods (Figure 3). Among these methodologies, the most popular methodological approach was that of modeling and simulation (hydrological, hydraulic, hydrodynamic), representing 24% of the total articles [68][69][70][71][72][73], followed by statistical analysis at 20% [74][75][76][77][78] and GIS techniques at 17% [79][80][81][82][83][84], while 16% of the articles proposed the use of combined methodologies [85][86][87][88][89]. The papers based on remote sensing techniques (analyzed via GIS environments) represented 8% of the total [90][91][92][93][94] and used ERS-1, Kompsat-2, LANDSAT, MODIS, and Sentinel-II imagery.…”

Section: Research Methods and Advances In Flood Researchmentioning

confidence: 99%

An Overview of Flood Risk Analysis Methods

Diaconu

Costache

Popa

2021

Water

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Scientific papers present a wide range of methods of flood analysis and forecasting. Floods are a phenomenon with significant socio-economic implications, for which many researchers try to identify the most appropriate methodologies to analyze their temporal and spatial development. This research aims to create an overview of flood analysis and forecasting methods. The study is based on the need to select and group papers into well-defined methodological categories. The article provides an overview of recent developments in the analysis of flood methodologies and shows current research directions based on this overview. The study was performed taking into account the information included in the Web of Science Core Collection, which brought together 1326 articles. The research concludes with a discussion on the relevance, ease of application, and usefulness of the methodologies.

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“…Analisis hidrolika pada penelitian ini akan didukung menggunakan software HEC-RAS untuk memberikan visualisasi profil muka air (Kumar et al, 2019;Abdi, Endreny and Nowak, 2020) saat banjir dan setelah normalisasi dalam upaya mitigasi struktural. Selain faktor hidrolika sungai, analisis penelitian ini mempertimbangkan nilai safety factor (Saputra, Saputro and Prastica, 2021) Data hujan yang digunakan pada penelitian ini bersumber dari Badan Meteorologi Klimatologi dan Geofisika (BMKG), yang terdiri dari lima stasiun hujan yang berada di sekitar daerah aliran sungai (DAS), yaitu Stasiun Klimatologi Kualanamu, Stasiun Meteorologi F. L. Tobing, Stasiun Klimatologi Wilayah I -Medan, Stasiun Meteorologi Aek Godang, dan Stasiun Kota Tanjung Balai, sebagaimana tertera pada Tabel 1.…”

Section: Metode Penelitianunclassified

Mitigasi Banjir Struktural Menggunakan Model Hec-Ras Dan Geo-Studio Pada Wilayah Sungai Toba-Asahan, Sumatera Utara

Prastica

Widyatmoko

Kurniawan

2021

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Permasalahan banjir menjadi isu utama di Indonesia dan di dunia. Strategi manajemen pengendalian banjir dapat berupa upaya mitigasi struktural dan non-struktural. Adanya perkembangan penelitian menyebutkan bahwa mitigasi non-struktural memiliki dampak yang baik dalam mereduksi banjir. Penelitian ini mengambil studi kasus di daerah studi yaitu Wilayah Sungai Toba-Asahan, tepatnya di Sungai Silau. Apakah mitigasi struktural dalam pengendalian banjir signifikan? Analisis kapasitas hidrolika menggunakan software HEC-RAS adanya penurunan limpasan banjir dari kondisi eksisting ke kondisi skenario normalisasi sungai. Begitu pula nilai safety factor lereng sungai pada lokasi tinjauan menggunakan software Geo-Studio yang naik sebesar 139%. Opsi usulan desain bendungan urugan juga dapat mereduksi banjir sebesar 24,83%. Sehingga, dapat disimpulkan bahwa mitigasi struktural signifikan dalam pengendalian banjir. Namun, mitigasi struktural tidak bersifat sustainable bagi pemangku kepentingan, sehingga perlu ada skenario simulasi menggunakan mitigasi non-struktural.

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Applicability of HEC-RAS 2D and GFMS for flood extent mapping: a case study of Sangam area, Prayagraj, India

Cited by 47 publications

References 14 publications

Application of HEC-RAS (2D) for Flood Hazard Maps Generation for Yesil (Ishim) River in Kazakhstan

Application of HEC-RAS (2D) for Flood Hazard Maps Generation for Yesil (Ishim) River in Kazakhstan

An Overview of Flood Risk Analysis Methods

Mitigasi Banjir Struktural Menggunakan Model Hec-Ras Dan Geo-Studio Pada Wilayah Sungai Toba-Asahan, Sumatera Utara

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