Analysis of geo-morphometric and topo-hydrological indices using COP-DEM: a case study of Betwa River Basin, Central India

Singh, Vikram Gaurav; Singh, Sudhir Kumar

doi:10.1080/24749508.2022.2097376

Cited by 22 publications

(1 citation statement)

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“…In addition, drainage morphometry of watershed is essentially quantitative and involves numerical variables whose values can be retrieved from digital elevation models (DEM) with the help of Geographic Information Systems (GIS) (Mahala, 2020;Ogarekpe et al, 2020;Kumari et al, 2021;Obeidat et al, 2021). The importance of morphometric variables lies in their usefulness for statistical analysis as well as for comparisons, and they are fundamentals to understand the hydrological and morphological characteristics of any watershed (Thomas et al, 2010;Raux et al, 2011;Odiji et al, 2021;Singh and Singh, 2022). It is evident that the response of a watershed to precipitation events is influenced by its drainage morphometric parameters.…”

Section: Introductionmentioning

confidence: 99%

Estimating surface runoff using the curve number method in an ungauged watershed in Jalisco, Mexico evaluating its morphometric parameters

Hernández-Guzmán,

Onchi-Ramuco

2023

Earth sci. res. j.

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The surface runoff was estimated using the curve number (CN) method for different storm events and it was associated with the morphometric parameters of an ungauged watershed in Jalisco, México. The land use and land cover map from 2019 was derived from the unsupervised classification of a Sentinel-2 image at 10 m resolution. The morphometric analysis revealed that the study area is dominated by areas of gentle slope and moderate to high permeability with dense vegetation and low relief. It is a well-drained watershed with low flood potentiality as well as a groundwater potential zone. About 69% of the study area corresponds to natural cover with tropical dry forest and evergreen forest as the most representative classes. A total of 77 storm events were identified from 2013 to 2019, with runoffs that ranged from 0.05 to 227.2 Mm3. September and October were the months with the most intense rainfall and, therefore, the months with the highest runoff volume. The average runoff was 14.52 Mm3, corresponding to an average runoff coefficient of 12.86%. Together, the methods used here provide useful results for delineating conservation strategies at the watershed level.

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