Evaluation of vegetative barriers for runoff, soil loss and crop productivity in Kandi region of Punjab

Singh, Manpreet; Yousuf, Abrar; Sharma, Shreya; Bawa, S.S.; Khokhar, Anil; Sharma, Vivek; Kumar, Vijay; Singh, Satvinder; Singh, Sher

doi:10.5958/2455-7145.2017.00048.0

Cited by 2 publications

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“…Similar recommendations were also made by Routschek et al [33]. Dass et al [45] and Singh et al [46] also reported that perennial grasses when grown as vegetative barriers reduce the runoff and soil erosion and increase the crop productivity. The comparison between contribution of perennial grasses and agronomic measures for erosion control shows that the former proved to be much more effective in soil erosion control as compared to the latter.…”

Section: Discussionsupporting

confidence: 67%

Simulation Accuracy of EROSION-3D Model for Estimation of Runoff and Sediment Yield from Micro-Watersheds

Singh

Yousuf

Singh

et al. 2022

Water

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The present study was conducted to test the efficiency and applicability of the EROSION-3D (Jürgen Schmidt, Berlin,Germany) model in the lower Shivaliks of Northwest India. Two similar micro-watersheds in terms of soil characteristics and land use were selected for calibration and validation of the model. The model was calibrated using the data from seven rainstorms of micro-watershed A and validated using data from 11 rainstorms in micro-watershed B. After calibration, the overall statistical parameters, namely RMSE (0.44 mm), percent error (4.92), correlation coefficient (0.94) and model efficiency (88%), clearly indicate that the model simulated runoff quite well in conditions prevalent in Shivaliks. For sediment yield, the overall statistical parameters, namely RMSE (0.365 Mg ha−1), percent error (12.71), correlation coefficient (0.97) and model efficiency (88.32%), clearly indicate that the model simulated sediment yield also quite well. During the validation process, for runoff, RMSE (1.72 mm), percent error (19.19), correlation coefficient (0.94), and model efficiency (81.25%) and, for sediment yield, RMSE (0.19 Mg ha−1), percent error (17.16), correlation coefficient (0.97), and model efficiency (74.48%) clearly demonstrate the reasonable accuracy of the EROSION-3D model to predict runoff and soil loss from micro-watersheds located in Shivaliks of Northwest India. Therefore, the EROSION-3D may be used as decision support system for soil conservation management decisions in the lower Shivaliks of India.

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Section: Discussionsupporting

confidence: 67%

Simulation Accuracy of EROSION-3D Model for Estimation of Runoff and Sediment Yield from Micro-Watersheds

Singh

Yousuf

Singh

et al. 2022

Water

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“…This region is considered to be one of eight most degraded and fragile agro-ecosystems of India [3]. High intensity rainstorms during monsoon season from July to Mid-September cause severe erosion in croplands, cultivated for example with maize, wheat, mash (black gram) or sesame [4,5]. Agricultural fields are usually affected by sheet and rill erosion, whereas rills concentrate to form gullies in areas with higher slope.…”

Section: Introductionmentioning

confidence: 99%

Parameterization for EROSION-3D Model under Simulated Rainfall Conditions in Lower Shivaliks of India

et al. 2018

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The Shivalik foothills of northwestern India are very prone to soil erosion by water due to undulating slopes, highly erodible soils and high intensity rainstorm events during monsoon season. Physically based soil erosion modeling is seen as viable method for planning of measurements to reduce damages done by soil erosion. Nevertheless, parametrization of such models is a major challenge for large inaccessible areas. Several methods do exist for the estimation of the input parameters skin factor, surface roughness and resistance to erosion for the physically based soil erosion model EROSION-3D. Four rainfall experiments, each including dry and wet run, were conducted on different land use conditions on a research farm of the Regional Research Station Ballowal Saunkhri to test estimation methods. Modeling parameters were determined from these experiments. Parameter estimation by two methods for experimental conditions produced values in close range to experimentally determined values for resistance to erosion and surface roughness. Therefore, existing estimation methods are considered to be applicable for the conditions of the Shivalik mountains, except for skin factor. A first modeling with EROSION-3D using preliminary data of a small example catchment shows uncertainties resulting from range of determined and estimated soil parameters.

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Evaluation of vegetative barriers for runoff, soil loss and crop productivity in Kandi region of Punjab

Cited by 2 publications

References 0 publications

Simulation Accuracy of EROSION-3D Model for Estimation of Runoff and Sediment Yield from Micro-Watersheds

Simulation Accuracy of EROSION-3D Model for Estimation of Runoff and Sediment Yield from Micro-Watersheds

Parameterization for EROSION-3D Model under Simulated Rainfall Conditions in Lower Shivaliks of India

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