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Soil erosion assessment using earth observation data in a trans-boundary river basin

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  • Nirmal Kumar

    (University of Allahabad)

  • Sudhir Kumar Singh

    (University of Allahabad)

Abstract

Soil erosion is a challenging environmental hazard that can be reduced by conservation practices. The study aimed to estimate the soil erosion rate using different digital elevation models (DEMs) data. We have applied the revised universal soil loss equation (RUSLE) to assess soil erosion in the Ghaghara river basin. We have also estimated morphometric parameters to understand the susceptibility of sub-basin to soil loss. The estimated rates of soil erosion by RUSLE are 21.39, 18.31, 4.35, and 4.64 ton/ha/year for SRTM 30 m, ALOS 30 m, MERIT 90 m, and SRTM 90 m, respectively. In addition to this water retention curve of soil was estimated using Hydrus-1D model. Result show that a clay_loam soil has highest water holding capacity as 0.284 cm3/cm3 and glacier (GLACIER-6998) has lowest as 0.22 cm3/cm3, respectively in the basin. Further the basin hypsometry analysis was performed using Q-GIS, which indicate that sub-basins age from young to mature due to soil erosion. In last, the prioritized map was generated by the integration of RULSE, water holding capacity, and morphometry showed that the upper and middle portions of the basin need better conservation measures to control the excess soil erosion compared to the lower portion of the basin.

Suggested Citation

  • Nirmal Kumar & Sudhir Kumar Singh, 2021. "Soil erosion assessment using earth observation data in a trans-boundary river basin," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(1), pages 1-34, May.
    • Handle: RePEc:spr:nathaz:v:107:y:2021:i:1:d:10.1007_s11069-021-04571-6
    DOI: 10.1007/s11069-021-04571-6
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    References listed on IDEAS

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    1. Sanjay Jain & Sudhir Kumar & Jose Varghese, 2001. "Estimation of Soil Erosion for a Himalayan Watershed Using GIS Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 15(1), pages 41-54, February.
    2. Pasquale Borrelli & David A. Robinson & Larissa R. Fleischer & Emanuele Lugato & Cristiano Ballabio & Christine Alewell & Katrin Meusburger & Sirio Modugno & Brigitta Schütt & Vito Ferro & Vincenzo Ba, 2017. "An assessment of the global impact of 21st century land use change on soil erosion," Nature Communications, Nature, vol. 8(1), pages 1-13, December.
    3. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    4. Swati Maurya & Prashant K. Srivastava & Manika Gupta & Tanvir Islam & Dawei Han, 2016. "Integrating Soil Hydraulic Parameter and Microwave Precipitation with Morphometric Analysis for Watershed Prioritization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5385-5405, November.
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    Cited by:

    1. Dandan Shen & Yuangang Guo & Bo Qu & Sisi Cao & Yaer Wu & Yu Bai & Yiting Shao & Jinglin Qian, 2024. "Investigation and Simulation Study on the Impact of Vegetation Cover Evolution on Watershed Soil Erosion," Sustainability, MDPI, vol. 16(22), pages 1-15, November.
    2. Maria Michalopoulou & Nikolaos Depountis & Konstantinos Nikolakopoulos & Vasileios Boumpoulis, 2022. "The Significance of Digital Elevation Models in the Calculation of LS Factor and Soil Erosion," Land, MDPI, vol. 11(9), pages 1-36, September.
    3. Lia Duarte & Mário Cunha & Ana Cláudia Teodoro, 2021. "Comparing Hydric Erosion Soil Loss Models in Rainy Mountainous and Dry Flat Regions in Portugal," Land, MDPI, vol. 10(6), pages 1-18, May.

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