Relationship between SCS-CN and Sediment Yield

Gajbhiye, Sarita; Mishra, Surendra Kumar; Pandey, Ashish

doi:10.1007/s13201-013-0152-8

Cited by 42 publications

(15 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These huge soil losses are not only responsible for the reduced storage reservoir capacity in India but also reduction in nutrient laden agricultural land at many areas. Several researchers have attempted to estimate the soil erosion loss in the different regions of the country utilizing remote sensing and GIS technologies (Jain et al 2001;Chowdary et al 2004;Pandey et al 2007;Dabral et al 2008;Ismail and Ravichandran 2008;Dalu et al 2013;Gajbhiye et al 2014). Effect of climate change on soil erosion has been observed by Routschek et al (2014) due to changes in the rainfall, and a study shows that increased intensity of various climatic parameters, particularly rainfall, has caused an increase in the sediment load (Mukundan et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Climate change impact on soil erosion in the Mandakini River Basin, North India

et al. 2016

View full text Add to dashboard Cite

Correct estimation of soil loss at catchment level helps the land and water resources planners to identify priority areas for soil conservation measures. Soil erosion is one of the major hazards affected by the climate change, particularly the increasing intensity of rainfall resulted in increasing erosion, apart from other factors like landuse change. Changes in climate have an adverse effect with increasing rainfall. It has caused increasing concern for modeling the future rainfall and projecting future soil erosion. In the present study, future rainfall has been generated with the downscaling of GCM (Global Circulation Model) data of Mandakini river basin, a hilly catchment in the state of Uttarakhand, India, to obtain future impact on soil erosion within the basin. The USLE is an erosion prediction model designed to predict the long-term average annual soil loss from specific field slopes in specified landuse and management systems (i.e., crops, rangeland, and recreational areas) using remote sensing and GIS technologies. Future soil erosion has shown increasing trend due to increasing rainfall which has been generated from the statistical-based downscaling method.

show abstract

Section: Introductionmentioning

confidence: 99%

Climate change impact on soil erosion in the Mandakini River Basin, North India

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Nookaratnam et al 2005 carried out a study on check dam positioning by prioritization of micro-watersheds using the sediment yield index (SYI) model and morphometric analysis using GIS. Gajbhiye et al 2014b carried out a study on prioritization of watershed through SYI using RS and GIS approaches. Morphometric analysis and prioritization of eight sub-watersheds of Uttala river watershed, which is a tributary of Son River, was carried out by Sharma et al (2010).…”

Section: Introductionmentioning

confidence: 99%

Prioritization of watershed through morphometric parameters: a PCA-based approach

2015

View full text Add to dashboard Cite

Remote sensing (RS) and Geographic Information Systems (GIS) techniques have become very important these days as they aid planners and decision makers to make effective and correct decisions and designs. Principal Component Analysis (PCA) involves a mathematical procedure that transforms a number of (possibly) correlated variables into a (smaller) number of uncorrelated variables. It reduces the dimensionality of the data set and identifies a new meaningful underlying variable. Morphometric analysis and prioritization of the subwatersheds of Shakkar River Catchment, Narsinghpur district in Madhya Pradesh State, India, is carried out using RS and GIS techniques as discussed in Gajbhiye et al. (Appl Water Sci 4(1):51-61, 2013b). In this study we apply PCA technique in Shakkar River Catchment for redundancy of morphometric parameters and find the more effective parameters for prioritization of the watershed and discuss the comparison between Gajbhiye et al. (Appl Water Sci 4(1):51-61, 2013b) and the present prioritization scheme.

show abstract

“…This hypothesis result predicts the correlation between the priority status of the basin and soil erosion susceptibility in every sub-basin. Therefore, all integrated theme-based prioritization depicts that high soil erosion susceptible zone was concentrated on high priority status based on basin area and vice versa (Gajbhiye et al 2014;Chauhan et al 2016;Meshram and Sharma 2017). Several research works have been conducted about the priority status of the basin, but there has research gap how integrated theme-based prioritization accelerated the soil erosion susceptibility.…”

Section: Introductionmentioning

confidence: 99%

Multi-criteria-based sub-basin prioritization and its risk assessment of erosion susceptibility in Kansai–Kumari catchment area, India

2019

View full text Add to dashboard Cite

Environmental processes are interrupted by the water action like soil erosion, mass movement as well as siltation on the dam in the undulating catchment area. Soil erosion is one of them and degraded the basin potentiality. This paper demonstrates that erosion susceptibility status in the 13 sub-basins of Kansai-Kumari catchment area has been determined depending upon its morphometric, lithology, geomorphic, land use/land cover (LULC), slope and soil characteristics used by integrated micro-watershed prioritization rank which is based on susceptible capacity under geographical information system platform. Risk assessment of soil erosion was measured by hypsometric characteristic (Hi) and denudation rate (tu) to assess the geological stage of landform and risk status for conservative practices. The result shows that SB13, 2 have a high risk (tu > 90 t/km 2 /year) due to the presence of low priority rank of morphometric, geomorphic, slope, soil and high priority rank of lithological set-up and LULC but reached under the late mature geological stage (Hi > 0.35). SB3, 4, 10 have a low risk (tu < 83 t/km 2 /year) due to the presence of high priority rank of morphometric, geology, geomorphic, slope and soil types under the mature stage of geological setting (Hi > 0.5). But SB7, 8, 9 have the medium risk (tu < 85 t/km 2 /year) due to the presence of erosion-prone LULC patterns like cropland and laterite cover but having low final priority rank and old geological stage (Hi < 0.35). Therefore, erosion susceptibility does not depend on morphometric aspects but also depends on other determinant themes at the sub-basin level.

show abstract

Relationship between SCS-CN and Sediment Yield

Cited by 42 publications

References 14 publications

Climate change impact on soil erosion in the Mandakini River Basin, North India

Climate change impact on soil erosion in the Mandakini River Basin, North India

Prioritization of watershed through morphometric parameters: a PCA-based approach

Multi-criteria-based sub-basin prioritization and its risk assessment of erosion susceptibility in Kansai–Kumari catchment area, India

Contact Info

Product

Resources

About