Morphometric assessment and sub-watershed prioritization of Khari River basin in semi-arid region of Rajasthan, India

Mundetia, Nitika; Sharma, Devesh; Dubey, Swatantra Kumar

doi:10.1007/s12517-018-3819-5

Cited by 22 publications

(8 citation statements)

References 52 publications

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“…The compound value was calculated by taking the average of the total values in each basin. (Choudhari et al, 2018;Mundetia et al, 2018). The calculated compound value of watersheds was evaluated based on each score.…”

Section: Flood Priority Rank Based On Morphometric Resultsmentioning

confidence: 99%

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Flood Prioritization Watersheds of the Aras River, Based on Geomorphometric Properties: Case Study Iğdır Province

Utlu

Ghasemlounia

2021

Jeomorfolojik Araştırmalar Dergisi

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Drainage watershed morphometry plays a major role in terms of understanding flood dynamics. Flood potentials are explained considering the linear, areal, and relief morphometry features of the watersheds. In general, there are number of geomorphometric indices in the description of these features. The formal geometries, geomorphology, geology, and general climate characteristics, etc., which play a decisive role in the flood potential in the watershed, can be determined relatively with morphometric indices. In this study, 35 different river watersheds draining their waters to the Aras, located in the center of Iğdır Province, were examined. Geographic information systems (GIS) and statistical software were chosen to analyze and calculate indices for this research. Flood events occur in these 35 different river watersheds and this study evaluates river watersheds in terms of their flood potential using 14 different indices. In the evaluation of the results obtained, the values that have a high impact on the floods are ranked according to their priorities. These results were evaluated in terms of flood priorities using morphometric analysis and principal component analysis methods. Flood priorities of watersheds, obtained through two different methods, are classified as high, medium, or low priorities. The number of common watersheds, determined based on two different methods, is 8 in river watersheds with "high" priority, 11 in river watersheds with "medium" priority, and 7 in river watersheds with "low" priority. According to these results, it is seen that river watersheds with high priority flood potential correspond to the areas where flood events occurred.

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Section: Flood Priority Rank Based On Morphometric Resultsmentioning

confidence: 99%

“…Prioritization of river watersheds based on geomorphometric analysis to understand the flood dynamics of the river is of great importance in taking the necessary precautions and measures against floods. (Mundetia et al, 2018).…”

Section: Potential Flood Prioritization Of Watershedsmentioning

confidence: 99%

Flood Prioritization Watersheds of the Aras River, Based on Geomorphometric Properties: Case Study Iğdır Province

Utlu

Ghasemlounia

2021

Jeomorfolojik Araştırmalar Dergisi

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“…Semelhantemente, a Rr, caracteriza a declividade e a sua capacidade de transportar água e sedimentos (Kabite et al 2018;Sarkar et al 2020). Desta forma, valores elevados mostram presença de áreas montanhosas e valores baixos indicam áreas de vales (Mundetia et al 2018). As sub-bacias que apresentaram maiores razões foram, respectivamente, 4, 9, 8, 7 e 6.…”

Section: Resultsunclassified

“…Análises com essa perspectiva são úteis para o delineamento de estudos de campo e planejamento de ações estratégicas para manutenção da qualidade e quantidade de recursos hídricos e o potencial de inundações e de erosão em determinadas regiões de uma bacia hidrográfica (Sarkar et al 2020). De forma similar, a adoção da divisão de uma bacia hidrográfica em sub-bacias, permite ranquear os fatores que potencializam a infiltração ou o escoamento, priorizar as ações a serem adotadas para a conservação e recarga dos recursos hídricos (Mundetia et al 2018).…”

Section: Divisão Fisiográfica Da Bacia Do Rio Buranhém Como Subsídio Para O Planejamento E Gestão Dos Recursos Hídricos Introduçãounclassified

Divisão fisiográfica da bacia do rio Buranhém como subsídio para o planejamento e gestão dos recursos hídricos

Silva

Lopes

Zanchi

et al. 2020

G. Sci.

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A análise fisiográfica das bacias hidrográficas e a sua caracterização são ferramentas para a gestão destes territórios. O estudo objetivou avaliar estas características para a bacia hidrográfica do rio Buranhém, no Sul da Bahia, ponderando-as como fatores de impacto ambiental de modo a compartimentalizar a bacia. Realizou-se o processamento do Modelo Digital de Elevação (MDE) e da cobertura do solo cedidos pelo Fórum Florestal do Extremo Sul da Bahia utilizando o software QGIS 2.18. Também foram analisados os dados hidrometeorológicos, de vazão e precipitação disponíveis na rede nacional (Hidroweb/ANA). Os dados foram avaliados por sub-bacia, atribuindo pesos de acordo com o efeito de transmissibilidade superficial da água e concentração do deflúvio, descritos na literatura. Observou-se que bacias alongadas, com baixa cobertura vegetal e relevo acentuado podem ter tendência a inundações devido ao escoamento superficial favorecido, o que resulta em riscos de erosão, perda de solo, assoreamento, comprometimento da qualidade da água e baixa disponibilidade de água ao longo do tempo. A fisiografia se deu com a compartimentalização em quatro sub-bacias de contribuição de acordo com o potencial de impacto nos recursos hídricos, servindo de apoio para a gestão da bacia como território heterogêneo com diferentes tendências naturais e antrópicas.

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“…Low slope angles reduce the runoff velocity and allow infiltration, decreasing soil erosion rates compared to steep slopes. Steep slopes also suffer from dry ravel [23,61,62]. To assess the influence of slope on soil erosion, a slope map in percentage for the Kozetopraghi catchment (ranging from 0 to 441%) was generated.…”

Section: Delineating Hydrological Response Units (Hrus)mentioning

confidence: 99%

Soil Erosion Susceptibility Mapping in Kozetopraghi Catchment, Iran: A Mixed Approach Using Rainfall Simulator and Data Mining Techniques

Ouri

Golshan

Janizadeh

et al. 2020

Land

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Soil erosion determines landforms, soil formation and distribution, soil fertility, and land degradation processes. In arid and semiarid ecosystems, soil erosion is a key process to understand, foresee, and prevent desertification. Addressing soil erosion throughout watersheds scales requires basic information to develop soil erosion control strategies and to reduce land degradation. To assess and remediate the non-sustainable soil erosion rates, restoration programs benefit from the knowledge of the spatial distribution of the soil losses to develop maps of soil erosion. This study presents Support Vector Machine (SVM), Random Forest (RF), and adaptive boosting (AdaBoost) data mining models to map soil erosion susceptibility in Kozetopraghi watershed, Iran. A soil erosion inventory map was prepared from field rainfall simulation experiments on 174 randomly selected points along the Kozetopraghi watershed. In previous studies, this map has been prepared using indirect methods such as the Universal Soil Loss Equation to assess soil erosion. Direct field measurements for mapping soil erosion susceptibility have so far not been carried out in our study site in the past. The soil erosion rate data generated by simulated rainfall in 1 m2 plots at rainfall rate of 40 mmh−1 was used to develop the soil erosion map. Of the available data, 70% and 30% were randomly classified to calibrate and validate the models, respectively. As a result, the RF model with the highest area under the curve (AUC) value in a receiver operating characteristics (ROC) curve (0.91), and the lowest mean square error (MSE) value (0.09), has the most concordance and spatial differentiation. Sensitivity analysis by Jackknife and IncNodePurity methods indicates that the slope angle is the most important factor within the soil erosion susceptibility map. The RF susceptibility map showed that the areas located in the center and near the watershed outlet have the most susceptibility to soil erosion. This information can be used to support the development of sustainable restoration plans with more accuracy. Our methodology has been evaluated and can be also applied in other regions.

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Morphometric assessment and sub-watershed prioritization of Khari River basin in semi-arid region of Rajasthan, India

Cited by 22 publications

References 52 publications

Flood Prioritization Watersheds of the Aras River, Based on Geomorphometric Properties: Case Study Iğdır Province

Flood Prioritization Watersheds of the Aras River, Based on Geomorphometric Properties: Case Study Iğdır Province

Divisão fisiográfica da bacia do rio Buranhém como subsídio para o planejamento e gestão dos recursos hídricos

Soil Erosion Susceptibility Mapping in Kozetopraghi Catchment, Iran: A Mixed Approach Using Rainfall Simulator and Data Mining Techniques

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