Assessment of flash flood vulnerability zonation through Geospatial technique in high altitude Himalayan watershed, Himachal Pradesh India

Bisht, Sapna; Chaudhry, Smita; Sharma, Subrat; Soni, Sandeep

doi:10.1016/j.rsase.2018.09.001

Cited by 46 publications

(22 citation statements)

References 60 publications

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“…R c is influenced by the length and frequency of streams, geological structures, climate, roughness, and slope (Bisht, Chaudhry, Sharma, & Soni, 2018). Elongated basins have R c close to 0, whereas circular basins have R c close to 1 (Bisht et al, 2018). The basin shape is strongly elongated and has high infiltration rate if the circularity ratio is in the range of 0.4–0.5 (Ali et al, 2018; Aparna, Nigee, Shimna, & Drissia, 2015).…”

Section: Resultsmentioning

confidence: 99%

Morphometric analysis and prioritisation of watersheds for flood risk management in Wadi Easal Basin (WEB), Jordan, using geospatial technologies

Obeidat

Awawdeh

Al‐Hantouli

2021

J Flood Risk Management

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Morphometric analysis and sub‐watersheds prioritisation were carried out for the Wadi Easal Basin, Jordan, which is characterised by a high topographic diversity. The total ranking method was applied to prioritise the sub‐watersheds in terms of susceptibility to flash flood. Results of morphometric analysis revealed that the study area is a fifth order drainage system with a dendritic drainage pattern and elongated shape. Prioritisation results showed that about 71% (15 out of 21 sub‐watersheds) of sub‐watersheds have high‐very high susceptibility to flooding, which forms about 64% of the total area of the basin. The main underlying morphometric parameters behind this are the high drainage density, stream frequency, high basin relief, basin slope, ruggedness number, and circulatory ratio, and the low value of basin shape. Overall, the basin has a rugged topography with steep slopes and high relief. Since the basin is ungauged, and no information about its past hydrological behaviour is present, the results of this study can be used as guidance for competent authorities to initialize flood mitigation or artificial groundwater recharge measures.

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Section: Resultsmentioning

confidence: 99%

Morphometric analysis and prioritisation of watersheds for flood risk management in Wadi Easal Basin (WEB), Jordan, using geospatial technologies

Obeidat

Awawdeh

Al‐Hantouli

2021

J Flood Risk Management

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“…It's a very essential factor which can influence any flash flood that may exist (Wang, Yang, and Yao 2012). In general, flash flood frequency increases according to the decreasing pattern of the elevation, which means that the lower areas are more susceptible to flooding condition (Bisht et al 2018). This Global Digital Elevation Model (GDEM) with moderate spatial resolutions of 30 m, was Downloaded from USGS data explorer.…”

Section: Landsat-8 Oli Sensor Datamentioning

confidence: 99%

Prediction of Flash Flood Susceptibility Using Fuzzy Analytical Hierarchy Process (Fahp) Algorithms and Gis: A Study Case of Guelmim Region in Southwestern of Morocco

Talha

Maanan

Atika

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. In recent decades, many of the countries around the world as well as the south-western Morocco (Guelmim region, Assaka watershed), was subject to flood-storm causing huge human and material damages. The current study focuses on the Prediction of flash flood susceptibility using Fuzzy Analytical Hierarchy Process (FAHP) algorithms and Geographic Information System (GIS) technical. Flash floods areas were identified based on seven flash flood conditioning factors (Soil Moisture Index (SMI), Drainage Density, Rainfall, LULC, Altitude, Slope and Soil). Using AHP the weight derived for the factors were SMI 37% Rainfall 24.30%, Drainage Density 15.57%, LULC 9.98% Altitude 6.39% Slope of the river basin 4.06% and Soil type 2.70%. Then, applying a fuzzy inference system to create flash flood vulnerability maps. The resulting maps were classified into three categories: low, moderate and high flash flood susceptibility; indicated that the areas at the outlet of the watershed and which are close of the main affluent wadis (Seyyad and Oum Al-Achar) were very susceptible to flooding. This study will be helping these zones to be prioritized for the conservation and managing of flash floods.

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“…La Liboriana is a typical case of an ungauged basin (Sivapalan et al, 2003;Seibert and Beven, 2009;Beven, 2007;Bonell et al, 2006;Yamanaka and Ma, 2017), without any detailed records of soils or land use, topographic maps or high-resolution digital elevation models (DEMs), and scarce hydro-meteorological data. According to Blöschl et al (2012), there are three general strategies for using models under these conditions. The first strategy is to obtain the required model parameters from the historical basin behavior and the morphological characteristics of the basin.…”

Section: Introductionmentioning

confidence: 99%

Reconstructing the 2015 Salgar flash flood using radar retrievals and a conceptual modeling framework in an ungauged basin

Velásquez

Hoyos

Vélez

et al. 2020

Hydrol. Earth Syst. Sci.

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Abstract. On 18 May 2015, a severe rainfall event triggered a flash flood in the municipality of Salgar, located in the northwestern Colombian Andes. This work aims to reconstruct the main hydrological features of the flash flood to better understand the processes modulating the occurrence of the event. Radar quantitative precipitation estimates (QPEs), satellite information, and post-event field visits are used to reconstruct the Salgar flash flood, in an ungauged basin, addressing the relationship among rainfall spatiotemporal structure, soil moisture, and runoff generation during successive rainfall events by using a conceptual modeling framework including landslide and hydraulic submodels. The hydrological model includes virtual tracers to explore the role of runoff and subsurface flow and the relative importance of convective and stratiform precipitation in flash flood generation. Despite potential shortcomings due to the lack of data, the modeling results allow an assessment of the impact of the interactions between runoff, subsurface flow, and convective–stratiform rainfall on the short-term hydrological mechanisms leading to the flash flood event. The overall methodology reproduces the magnitude and timing of the La Liboriana flash flood peak discharge considerably well, as well as the areas of landslide occurrence and flood spots, with limitations due to the spatial resolution of the available digital elevation model. Simulation results indicate that the flash flood and regional landslide features were strongly influenced by the antecedent rainfall, which was associated with a northeasterly stratiform event. The latter recharged the gravitational and capillary storages within the model, moistening the entire basin before the occurrence of the flash flood event and impacting the subsurface–runoff partitioning during the flash flood event. Evidence suggests that the spatial structure of the rainfall is at least as important as the geomorphological features of the basin in regulating the occurrence of flash flood events.

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Assessment of flash flood vulnerability zonation through Geospatial technique in high altitude Himalayan watershed, Himachal Pradesh India

Cited by 46 publications

References 60 publications

Morphometric analysis and prioritisation of watersheds for flood risk management in Wadi Easal Basin (WEB), Jordan, using geospatial technologies

Morphometric analysis and prioritisation of watersheds for flood risk management in Wadi Easal Basin (WEB), Jordan, using geospatial technologies

Prediction of Flash Flood Susceptibility Using Fuzzy Analytical Hierarchy Process (Fahp) Algorithms and Gis: A Study Case of Guelmim Region in Southwestern of Morocco

Reconstructing the 2015 Salgar flash flood using radar retrievals and a conceptual modeling framework in an ungauged basin

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