Sediment yield prediction and prioritization of sub-watersheds in the Upper Subarnarekha basin (India) using SWAT

Panda, Chinmaya; Das, Debasish; Raul, S. K.; Sahoo, Baidehish

doi:10.1007/s12517-021-07170-8

Cited by 14 publications

(9 citation statements)

References 62 publications

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“…The average trapping efficiency of sediment over the Nagavali and Vamsadhara river basins were identified as 77.65% and 67.59% by reservoirs. Table 7 shows the average annual sediment yield (t/ha/yr) for the two river basins divided into three classes for spatial representation and identification of critical source areas of sediment yield suggested by Singh [64] for Indian conditions [2,65]. The average annual sediment yield from the subbasin is less than 5 t/ha/yr in the slight erosion class, 5-10 t/ha/yr in the moderate erosion class, and greater than 10 t/ha/yr in the high erosion class.…”

Section: Spatial Variability Of Sediment Yield and Identification Of ...mentioning

confidence: 99%

“…Soil erosion is a serious concern for land and water resources because it has a negative impact on soil fertility, agricultural production, and the quality of aquatic environment [1,2]. Soil erosion is caused by the interaction of physical and anthropogenic forces and erosion rates are affected by hydrology, climate, soil conditions, land use land cover changes and their interaction at the sub-watershed scale [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…Various studies were conducted in different regions of India using a modeling approach, field scale, and laboratory studies to have a comprehensive knowledge on soil erosion, sediment yield, and their impact on reservoirs and crop productivity [2,5,[16][17][18][19][20][21][22][23][24]. Using experimental analysis, Vaithiyanathan et al [16] noticed that the majority of sediment transport, more than 95% of the time, occurs during the monsoon period.…”

Section: Introductionmentioning

confidence: 99%

“…Long-term analysis of water balance components is required to reduce water stress over the basins during the dry season [43]. Several studies on soil erosion and sediment yield identified that all sub-basins within the basin have different characteristics and their response to anthropogenic and natural changes also differ [2,21,24]. There is a need for longterm water balance and sediment yield analysis as well as identifying erosion-prone areas for sediment yield and evaluating soil and water conservation practices using a biophysical model.…”

Section: Introductionmentioning

confidence: 99%

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Streamflow and Sediment Yield Analysis of Two Medium-Sized East-Flowing River Basins of India

Nagireddy

Reddy

Sridhar

et al. 2022

Water

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With increased demand for water and soil in this Anthropocene era, it is necessary to understand the water balance components and critical source areas of land degradation that lead to soil erosion in agricultural dominant river basins. Two medium-sized east-flowing rivers in India, namely Nagavali and Vamsadhara, play a significant role in supporting water supply and agriculture demands in parts of the Odisha districts of Kalahandi, Koraput and Rayagada, as well as the Andhra Pradesh districts of Srikakulam and Vizianagaram. Floods are more likely in these basins as a result of cyclones and low-pressure depressions in the Bay of Bengal. The water balance components and sediment yield of the Nagavali and Vamsadhara river basins were assessed using a semi-distributed soil and water assessment tool (SWAT) model in this study. The calibrated model performance revealed a high degree of consistency between observed and predicted monthly streamflow and sediment load. The water balance analysis of Nagavali and Vamsadhara river basins showed the evapotranspiration accounted for 63% of the average annual rainfall. SWAT simulated evapotranspiration showed a correlation of 0.78 with FLDAS data. The calibrated SWAT model showed that 26.5% and 49% of watershed area falling under high soil erosion class over Nagavali and Vamsadhara river basins, respectively. These sub watersheds require immediate attention to management practices to improve the soil and water conservation measures.

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Section: Spatial Variability Of Sediment Yield and Identification Of ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Streamflow and Sediment Yield Analysis of Two Medium-Sized East-Flowing River Basins of India

Nagireddy

Reddy

Sridhar

et al. 2022

Water

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“…Several parameters can be used for calibration and validation procedures. However, some parameters are affecting the targeted variable more than the other parameters, defined as a sensitivity analysis (Panda et al 2021). SWAT Calibration Uncertainty Procedure (SWAT-CUP) program was used to compare flow and sediment prediction in this study.…”

Section: Sensitivity Analysis Model Calibration and Validationmentioning

confidence: 99%

Modeling Streamflow and Sediment Yield with Determination of Soil Erosion Prone Areas by Using the SWAT Model

Karakoyun

Kaya

2022

Preprint

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In this study, the Soil and Water Assessment Tool (SWAT) was used to estimate the streamflow, sediment yield, and the identification of soil erosion prone areas at the sub-watershed scale to enrich the water management practices. The upper part of the Euphrates-Tigris basin called as Murat River basin was selected as a study area. Nash-Sutcliffe Efficiency (NSE), coefficient of determination (R2), and percent bias (PBIAS) were used for the assessment of the model performance with the observed data at two gage stations located on the watershed, E21A074, and E21A077. The Modified Universal Soil Loss Equation was used in the SWAT model in order to predict sediment yield and soil erosion. Sediment Delivery Ratio was also computed to identify its relationship with sediment yield at the sub-watershed scale. NSE, R2, and PBIAS for monthly streamflow prediction were calculated as 0.71, 0.72, and -11.6 in the calibration period, as 0.77, 0.79, and -9.1 in the validation period, at the station E21A077, respectively. Daily simulation the results of NSE, R2, and PBIAS were calculated as 0.56, 0.57, and -15 in the calibration period, while 0.55, 0.56, and 1.2, respectively, in the validation period at the station E21A074. The statistical results for monthly sediment yield calibration and validation were calculated as follows: 0.75 and 0.80 for NSE, 0.76 and 0.84 for R2, -0.9 and 12.2 for PBIAS from the station E21A074. 32% area of the total watershed is under severe and very severe soil erosion conditions. Most of the soil erosion occurred at the barren land use and in the sub-watersheds with a slope greater than 25%. Overall, the SWAT model satisfactorily simulated the streamflow and sediment yield at the Murat River basin which may help the researchers in water resource management.

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Management Strategies for Critical Erosion-Prone Areas of Small Agricultural Watershed Based on Sediment and Nutrient Yield

Sarkar

Panda

Pandey

et al. 2021

Geospatial Technologies for Land and Water Resources Management

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Identification of the critical areas is essential for the effective implementation of watershed management programs. In the present study, monitoring of runoff, sediment, and nutrient yield (NO 3 -N and soluble P) was carried out from a small agricultural watershed to identify the critical areas on the basis of sediment and nutrient yield. Land use/land cover information was generated from Indian Remote Sensing Satellite data (IRS-1D-LISS-III). Universal Soil Loss Equation (USLE) was used to estimate soil loss from the study area, while remote sensing and GIS techniques were used for parameterization of USLE model. Delivery ratio was computed for the watershed to compare with the observed sediment yield. Soil samples were collected and tested from a selected portion of the wasteland for measuring soil fertility status (NPK), soil reaction (pH), organic carbon content, etc. The sediment delivery ratio in the study watershed ranges between 0.44 and 0.66. All the sub-watersheds fall within "slight" soil erosion class (0-5 ton ha −1 year −1 ). Sub-watershed I yielded more nutrient followed by Sub-watershed II and Sub-watershed III. The wastelands of the study area have a moderate amount of organic carbon (within 0.5-0.75%) and low available nutrient (NPK), initially, farmers can go for leguminous crop cultivation for increasing the nitrogen status of the field, and also, sabaigrass-based intercropping systems can be adopted in small plots of the wasteland.

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Sediment yield prediction and prioritization of sub-watersheds in the Upper Subarnarekha basin (India) using SWAT

Cited by 14 publications

References 62 publications

Streamflow and Sediment Yield Analysis of Two Medium-Sized East-Flowing River Basins of India

Streamflow and Sediment Yield Analysis of Two Medium-Sized East-Flowing River Basins of India

Modeling Streamflow and Sediment Yield with Determination of Soil Erosion Prone Areas by Using the SWAT Model

Management Strategies for Critical Erosion-Prone Areas of Small Agricultural Watershed Based on Sediment and Nutrient Yield

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