A Geographic Information System (GIS) based Soil Erosion Model for Estimation of Sediment Yield for Kshipra River Basin, Madhya Pradesh India

Sediment yield estimation using GIS


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Authors

  • Pramod Kumar Meena Department of Agricultural Engineering, Ministry of Agriculture and Farmer Welfare, Betul-460001, Madhya Pradesh, India
  • Deepak Khare Department of Water Resources Development and Management, IIT Roorkee-247665
  • Mohan Lal Department of Irrigation and Drainage Engineering, G.B. Pant University of Agriculture & Technology, Pantnagar – 263145, Uttarakhand, India
  • Dheeraj Kumar Department of Irrigation and Drainage Engineering, G.B. Pant University of Agriculture & Technology, Pantnagar – 263145, Uttarakhand, India
  • Jitendra Kumar Division of Irrigation and Drainage Engineering, ICAR-CSSRI, Karnal -132 001, Haryana, India
  • Surendra Kumar Chandniha Department of Soil and water Engineering, Indira Gandhi Krishi Vishwavidyalaya, Raipur-495334, Chhattisgarh, India
  • Rishi Pathak National Institute of Hydrology, Roorkee-247667, India

https://doi.org/10.56093/jsswq.v16i2.157080

Keywords:

Geographic Information System (GIS), Sediment yield, USLE, Erosivity

Abstract

The study was carried out to simulate the sediment yield from Kshipra River basin, which is a southern tributary of Yamuna River basin-the second largest river basin of India. A Geographic Information System (GIS) based soil erosion model was used to estimate the sediment yield of river basin. Four different grid sizes such as 15×15 m, 30×30 m, 60×60 m and 90× 90 m were used in sediment estimation, among which 15×15 m grid size found to estimate good results. The annual rate of soil erosion estimated for 16 years (1995 to 2010) was found to vary between 10.02 to 20.31 t ha-1yr-1 along with an average of 15.31 t ha-1yr-1. The study reported about 78% area of Kshipra River basin is slightly or moderately affected by soil erosion having annual sediment production rate of less than 10 tha-1. A governing equation has been derived for estimation of rainfall erosivity and sediment yield for river basin. The findings of study will be most useful for predicting sediment yields where only rainfall and flow data are available at site.

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Author Biographies

  • Pramod Kumar Meena, Department of Agricultural Engineering, Ministry of Agriculture and Farmer Welfare, Betul-460001, Madhya Pradesh, India

    Department of Agricultural Engineering, Ministry of Agriculture and Farmer Welfare, Betul-460001, Madhya Pradesh, India

  • Deepak Khare, Department of Water Resources Development and Management, IIT Roorkee-247665

    Department of Water Resources Development and Management, IIT Roorkee-247665

  • Mohan Lal, Department of Irrigation and Drainage Engineering, G.B. Pant University of Agriculture & Technology, Pantnagar – 263145, Uttarakhand, India
    Department of Irrigation and Drainage Engineering, G.B. Pant University of Agriculture & Technology, Pantnagar – 263145, Uttarakhand, India
  • Dheeraj Kumar, Department of Irrigation and Drainage Engineering, G.B. Pant University of Agriculture & Technology, Pantnagar – 263145, Uttarakhand, India
    Department of Irrigation and Drainage Engineering, G.B. Pant University of Agriculture & Technology, Pantnagar – 263145, Uttarakhand, India
  • Jitendra Kumar , Division of Irrigation and Drainage Engineering, ICAR-CSSRI, Karnal -132 001, Haryana, India

    Scientist, ICAR-Central Soil Salinity Research Institute, Karnal, Haryana

  • Surendra Kumar Chandniha, Department of Soil and water Engineering, Indira Gandhi Krishi Vishwavidyalaya, Raipur-495334, Chhattisgarh, India

    Department of Soil and water Engineering, Indira Gandhi Krishi Vishwavidyalaya, Raipur-495334, Chhattisgarh, India

  • Rishi Pathak, National Institute of Hydrology, Roorkee-247667, India

    National Institute of Hydrology, Roorkee-247667, India

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Submitted

2024-09-24

Published

2024-11-19

Issue

Vol. 16 No. 2 (2024): Special Issue of Journal Soil Salinity & Water Quality on Restoring Salt–affected Ecologies in Changing Climate

Section

Articles

License

Journal of Soil Salinity and Water Quality serves as an official organ of the Indian Society of Soil Salinity and Water Quality (ISSSWQ) for the publication of research papers, reviews, and short communications as per the constitution and by-laws of the society. Soft and hard copy of the journal are sent free to all its members. All disputes are subject to the exclusive jurisdiction of competent court and forums in Kamal only. The society does not assume any responsibility for opinion by the authors in the articles and no-material in any form can be reproduced without the prior permission of the society. The society is not responsible for any delay, whatsoever, in publication/ delivery of the periodicals to the subscribers due to unforeseen circumstances or postal delay. The society does not vouch for any claims made by the advertisers of products and services. The publisher and the editors shall not be held liable for any consequences in the event of such claim not being honoured by the advertisers.

How to Cite

Meena, P. K. ., Khare, D. ., Lal, M. ., Kumar, D. ., Kumar , J. ., Chandniha, S. K. ., & Pathak, R. . (2024). A Geographic Information System (GIS) based Soil Erosion Model for Estimation of Sediment Yield for Kshipra River Basin, Madhya Pradesh India: Sediment yield estimation using GIS. Journal of Soil Salinity and Water Quality, 16(2), 270-279. https://doi.org/10.56093/jsswq.v16i2.157080