Flood Susceptibility Modeling of Megech River Catchment, Lake Tana Basin, North Western Ethiopia, Using Morphometric Analysis

Jothimani, Muralitharan; Zerihun, D.; Mulualem, Wuletaw

doi:10.1007/s41748-020-00173-7

Cited by 28 publications

(4 citation statements)

References 63 publications

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“…In our study we examine each subwatershed individually and rank them according to our methodology and we don't take into account the inputs of water from other subwatersheds. This is commonly done by some researches [24] while other researchers prefer to omit the main channel watershed from their analysis [23]. However since water gathers to the outlet of sub-watershed W-1 flood risk is expected to be higher near Iraio village, and this can be confirmed by historical flash flood events.…”

Section: Discussionmentioning

confidence: 99%

“…Other researchers have prioritized sub-basins of large watersheds by taking into consideration that R b , D d , L g , R f have a direct connection with flooding susceptibility [22,23,24] and the remaining variables have a reverse relation with flood susceptibility. However in small mountainous watersheds with intermittent flow this is not the case, and we use a different way of assigning ranks than in previous works of other researchers.…”

Section: Prioritization Of Sub-watershedsmentioning

confidence: 99%

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Prioritization of Flash Flood-Prone Areas in Small Coastal Basins around the Mediterranean Using Geomorphological Variables

Kotinas

2021

JGEESI

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The present study aims to model flash flood risk in small coastal watersheds in areas that are characterized by Mediterranean climate through extensive morphometric analysis which can prove invaluable for the investigation of flood risk, in ungauged watersheds, where flash floods are frequent. The available topographic data (EU-DEM) are analyzed through Geographic Information Systems (GIS) to produce all the secondary variables that are necessary for this morphometric analysis. Watershed prioritization techniques that are applied on geomorphological variables have proven to be an effective way of estimating the relative flash flood risk in a sub-watershed level. A series of morphometric parameters are used (bifurcation ratio, drainage frequency, drainage density, drainage texture, length of overland flow, circularity ratio, form factor, elongation ratio) which have an effect on flood risk. In small watersheds, with intermittent runoff, this effect can be different than in larger watersheds, so our methodology differs significantly from the methodology other researchers use. The compound factor is calculated by aggregating the assigned ranks of these morphometric indices and the sub-watersheds are prioritized according to their flash flood risk. The study area is located in the island of Samos, in Eastern Greece, where flood events are usual and pose a risk to villages and infrastructure around the island. The selected watershed (Imvrasos river) is divided into several sub-watersheds (W-1 to W-8) and a series of morphometric indices are calculated and evaluated through statistical procedures and by applying prioritization techniques, in order to locate the sub-basins that have the highest risk to flash floods. Sub-watersheds W-2 and W-3 (on the southern part of Imvrasos area) show the highest prioritization values, and should be prioritized for better watershed management planning.

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Section: Discussionmentioning

confidence: 99%

Section: Prioritization Of Sub-watershedsmentioning

confidence: 99%

Prioritization of Flash Flood-Prone Areas in Small Coastal Basins around the Mediterranean Using Geomorphological Variables

Kotinas

2021

JGEESI

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“…(3) groundwater potential, e.g., [144][145][146]; (4) hydrologic connectivity, e.g., [38]; (5) land and water management and its impact, e.g., [147]; (6) land suitability for irrigation, e.g., [75,148]; (7) land-use/land-cover impact, e.g., [149]; (8) soil erosion, e.g., [150]; (9) water balance, e.g., [151,152]; (10) prioritized sub watershed based on morphometry aspects, e.g., [153]; and (11) hydro-climatic processes, e.g., [154]. Empirical models were used to assess soil erosion, e.g., [86,[155][156][157].…”

Section: Modelling Approaches Of Studies In the Lake Tana Basinmentioning

confidence: 99%

To What Extent Is Hydrologic Connectivity Taken into Account in Catchment Studies in the Lake Tana Basin, Ethiopia? A Review

Astuti

Annys

Dessie

et al. 2022

Land

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Knowledge of hydrologic connectivity is important to grasp the hydrological response at a basin scale, particularly as changes in connectivity can have a negative effect on the environment. In the context of a changing climate, being able to predict how changes in connectivity will affect runoff and sediment transport is particularly relevant for land-use planning. Many studies on hydrology, geomorphology and climatology have been conducted in the Lake Tana Basin in Ethiopia, which is undergoing rapid development and significant environmental changes. This systematic literature review aims at assessing to what extent the hydrologic connectivity has been taken into account in such research, and to identify research gaps relevant to land and water management. On the Web of Science and Scopus databases, 135 scientific articles covering those topics were identified. Aspects of hydrologic connectivity were mostly implicitly taken into account based on process-based, statistical and descriptive models. Amongst the drivers of changing connectivity, the climate was covered by a large majority of publications (64%). Components of structural hydrologic connectivity were accounted for by considering geomorphology (54%) and soils (47%), and to a lesser extent, hydrography (16%) and geology (12%). Components of functional connectivity were covered by looking at surface water fluxes (61%), sediment fluxes (18%) and subsurface water fluxes (13%). While numerous studies of the Lake Tana Basin accounted for the hydrologic connectivity implicitly, these related predominantly to functional components. The structural components are given less attention, while in the context of a changing climate, better insights into their influence on the hydrologic seem most relevant. Better knowledge of the static aspect of connectivity is particularly important for targeting appropriate soil and water conservation strategies. Being able to explicitly assess the ‘structural connectivity’ is therefore of direct relevance for land management and land-use policy.

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“…DEMs obtained from various sources with the same spatial resolution can be used to compare morphometric parameters. Such comparisons have been studied in Ethiopia ( Abdeta et al., 2020 ; Gebre et al., 2015 ; Ayele et al., 2017 ; Gizachew and Berhan, 2018 ; Gutema et al., 2017 ) and worldwide ( Aparna et al., 2015 ; Farhan 2017 ; Farhan et al., 2017 ; Javed et al., 2009 ; Jothimani et al., 2020 ; Kulkarni, 2013 ; Pande and Moharir, 2017 ; Prakash et al., 2016 ; Rai et al., 2014 ; Singh et al., 2014 ; Soni, 2017 ). Through morphometric parameter analysis, researchers can understand the specific areas of land degradation, flood risk, and surface water potential.…”

Section: Introductionmentioning

confidence: 99%

Impact of identical digital elevation model resolution and sources on morphometric parameters of Tena watershed, Ethiopia

Tesema

2021

Heliyon

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Flood Susceptibility Modeling of Megech River Catchment, Lake Tana Basin, North Western Ethiopia, Using Morphometric Analysis

Cited by 28 publications

References 63 publications

Prioritization of Flash Flood-Prone Areas in Small Coastal Basins around the Mediterranean Using Geomorphological Variables

Prioritization of Flash Flood-Prone Areas in Small Coastal Basins around the Mediterranean Using Geomorphological Variables

To What Extent Is Hydrologic Connectivity Taken into Account in Catchment Studies in the Lake Tana Basin, Ethiopia? A Review

Impact of identical digital elevation model resolution and sources on morphometric parameters of Tena watershed, Ethiopia

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