Morphometric Analysis of the Banas River Basin Using the Geographical Information System, Rajasthan, India

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

doi:10.11648/j.hyd.20150305.11

Cited by 41 publications

(10 citation statements)

References 17 publications

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“…The total catchment area (Figure 1) of Banas River Basin is 68207.82 km 2 and the river has a length of about 512 km and flows Frontiers in Environmental Science frontiersin.org entirely within Rajasthan. The Banas River Basin covers 14 districts namely Sikar, Jaipur, Ajmer, Nagaur, Rajsamand, Chittaurgarh, Bundi, Sawai Madhopur, Bhilwara, Dausa, Udaipur, Tonk, Neemuch, and Karauli (Dubey et al, 2015).…”

Section: Brief Description Of the Study Areamentioning

confidence: 99%

GIS integrated RUSLE model-based soil loss estimation and watershed prioritization for land and water conservation aspects

Singh

Sur

Al‐Ansari

et al. 2023

Front. Environ. Sci.

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Land degradation has become one of the major threats throughout the globe, affecting about 2.6 billion people in more than 100 countries. The highest rate of land degradation is in Asia, followed by Africa and Europe. Climate change coupled with anthropogenic activities have accelerated the rate of land degradation in developing nations. In India, land degradation has affected about 105.48 million hectares. Thus, modeling and mapping soil loss, and assessing the vulnerability threat of the active erosional processes in a region are the major challenges from the land and water conservation aspects. The present study attempted rigorous modeling to estimate soil loss from the Banas Basin of Rajasthan state, India, using GIS-integrated Revised Universal Soil Loss Equation (RUSLE) equation. Priority ranking was computed for different watersheds in terms of the degree of soil loss from their catchments, so that appropriate conservation measures can be implemented. The total area of Banas basin (68,207.82 km2) was systematically separated into 25 watersheds ranging in area from 113.0 to 7626.8 km2. Rainfall dataset of Indian Meteorological Department for 30 years (1990–2020), FAO based Soil map for soil characterization, ALOS PALSAR digital elevation model for topographic assessment, and Sentinal-2 based land use and land cover map were integrated for modeling and mapping soil erosion/loss risk assessment. The total annual soil loss in the Banas basin was recorded as 21,766,048.8 tons. The areas under very low (0–1 t ha-1 year-1), low (1–5 t ha-1 year-1), medium (5–10 t ha-1 year-1), high (10–50 t ha-1 year-1) and extreme (>50 t ha-1 year-1) soil loss categories were recorded as 24.2, 66.8, 7.3, 0.9, and 0.7%, respectively, whereas the respective average annual soil loss values were obtained as 0.8, 3.0, 6.0, 23.1, and 52.0 t ha-1 year-1. The average annual soil loss among different watersheds was recorded in the range of 1.1–84.9 t ha-1 year-1, being highest (84.9 t ha-1 year-1) in WS18, followed by WS10 (38.4 t ha-1 year-1), SW25 (34.7 t ha-1 year-1) and WS23 (17.9 t ha-1 year-1), whereas it was lowest for WS8 (1.1 t ha-1 year-1). Thus, WS18 obtained the highest/top priority rank in terms of the average annual soil loss (84.9 t ha-1 year-1) to be considered as the first priority for land and water conservation planning and implementation. The quantitative results of this study would be useful for implementation of land and water conservation measures in the problematic areas of the Banas basin for controlling soil loss through water erosion.

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Section: Brief Description Of the Study Areamentioning

confidence: 99%

GIS integrated RUSLE model-based soil loss estimation and watershed prioritization for land and water conservation aspects

Singh

Sur

Al‐Ansari

et al. 2023

Front. Environ. Sci.

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“…Strahler's 1964a, b ordering system was adopted for this study due to its simplicity and has been used in several studies (Dubey et al 2015;Mustafa et al 2016;Resmi et al 2019;Asfaw and Workineh 2019;Arabameri et al 2020).…”

Section: Linear Parametermentioning

confidence: 99%

“…In a watershed, morphometric attributes are essential because they indicate the hydrological character of a watershed and are important in assessing the hydrologic response of a watershed (Withanage et al 2015). Valuable information about the character of a watershed can be obtained via morphometric study (Dubey et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Morphometric analysis and prioritization of upper Benue River watershed, Northern Nigeria

et al. 2021

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The upper Benue River watershed is undergoing remarkable modifications due to man-made and natural phenomena. Hence, an evaluation is required to understand the hydrological process of the watershed for planning and management strategies. This study aimed to assess the morphometric characteristics and prioritize the upper Benue River watershed. The boundary of the watershed and sub-watersheds, as well as stream networks, was extracted from the digital elevation model (DEM) coupled with hydrological and topographic maps. Twenty-eight morphometric parameters under three categories, i.e. linear, areal, and relief aspects were computed and mapped. Findings from the study revealed that the watershed is a seventh stream order system characterized by a dendritic drainage pattern. The result also showed that 4821 streams were extracted with a cumulative length of 30,232.84 km. The hypsometric integral of the watershed was estimated to be 0.22, indicating that it is in the old stage. In the prioritization of the watershed, the morphometric variables were utilized to calculate and classify the compound factor. The result showed that sub-watersheds 12, 16, 18, 24, 26, and 27 were ranked as very high priority for which conservation measures are required to mitigate the risk of flood and erosion. The outcome of this study can be used by decision-makers for sustainable watershed management and planning.

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“…Lu and slope of any watershed are highly correlated to each other; streams with smaller L u indicate the area is characterized as steep slope and vice versa (Withanage et al 2014;Dubey et al 2015;Christopher et al 2010). Hence, L u is considered as a useful hydrological feature to understand surface runoff characteristics as it is dependent on slope.…”

Section: Stream Length (L U )mentioning

confidence: 99%

Quantitative evaluation of watershed attributes for water resources management in the Rift Valley Lakes Basin, Ethiopia: a case from Tikur Wuha river watershed

2020

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Characterization of watershed hydrological process is vital for sustainable water resource management. The principal goal of this study was to investigate the inference of drainage attributes on basic hydrological processes using spatial-based morphometric analysis on Tikur Wuha river watershed. The result obtained indicated that the area was characterized with fifth-order stream. Drainage area with higher stream order has lower infiltration capacity, and the shorter stream lengths were associated with the steepness of the area which affects water flow. Based on N u value, sub-watersheds were categorized in the active erosion stage (SW7) and matured topography development (SW6). The interpretation from watershed geometry identified circular areas most susceptible to rapid hydrological response (SW11). Hydrological process and underlying materials are mainly correlated with the drainage texture parameter, and the lower the values indicated less rocky terrain and very high infiltration capacity which contributes toward less erosion (SW11). Relief parameters such as Rr value indicate the rate of stream flow and are well used in sediment yield estimation. The findings of this investigation will provide core information for water resource planning and further studies like identification of groundwater potential zones; flood risk assessment; erosion-prone area prioritization; and to select suitable sites for the construction of water harvesting structures.

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Morphometric Analysis of the Banas River Basin Using the Geographical Information System, Rajasthan, India

Cited by 41 publications

References 17 publications

GIS integrated RUSLE model-based soil loss estimation and watershed prioritization for land and water conservation aspects

GIS integrated RUSLE model-based soil loss estimation and watershed prioritization for land and water conservation aspects

Morphometric analysis and prioritization of upper Benue River watershed, Northern Nigeria

Quantitative evaluation of watershed attributes for water resources management in the Rift Valley Lakes Basin, Ethiopia: a case from Tikur Wuha river watershed

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