Skip to main content

Advertisement

SpringerLink
Log in

Application of hydrological indices for erosion hazard mapping using Spatial Analyst tool

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

Hydrological indices provide excellent input to geographic information systems for the successful mapping of erosion-prone areas. In this research, a digital elevation model was processed and analyzed to obtain the necessary hydrological indices necessary for erosion modeling. The indices (such as sediment transport index, compound topography index, and stream power index) along with other themes (Like Slope gradient, curvature, distance to channels, and channel density) were overlaid using the “Weighted Sum” overlay tool in the geographic information system. The results showed that 33.14 km2 of the test watershed (sub-basin of Abay, Ethiopia) falls in very high/severe erosion zone and needs immediate conservation measures. A total of 98.26 km2, 153.40 km2, and 263.17 km2 fall in high-, moderate-, and low-erosion hazard zones, respectively. Therefore, the primary and secondary derivatives of the digital elevation model along with morphometric parameters coupled with a Spatial Analyst tool proves to be a powerful integrated approach in demarcating erosion vulnerable zones and could be applied at regional and continental scale for proper watershed management.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  • Ahmad, I. (2018). Digital elevation model (DEM) coupled with geographic information system (GIS): an approach towards erosion modeling of Gumara watershed, Ethiopia. Environmental Monitoring and Assessment, 190, 568. https://doi.org/10.1007/s10661-018-6888-8.

    Article  Google Scholar 

  • Burt, T., & Butcher, D. (1986). Stimulation from simulation: a teaching model of hillslope hydrology for use on microcomputers. Journal of Geography in Higher Education, 10, 23–39.

    Article  Google Scholar 

  • Chen, T., Niu, R. Q., Li, P. X., Zhang, L. P., & Du, B. (2011). Regional soil erosion risk mapping using RUSLE, GIS, and remote sensing: a case study in Miyun watershed. North China. Environmental Earth Sciences, 63, 533–541.

    Article  CAS  Google Scholar 

  • Dabral, P. P., Baithuri, N., & Pandey, A. (2008). Soil erosion assessment in a hilly catchment of North Eastern India using USLE, GIS and remote sensing. Water Resources Management, 22(12), 1783–1798.

    Article  Google Scholar 

  • Dymond, J. R., & Harmsworth, G. R. (1994). Towards automated land resource mapping using digital models. ITC Journal, 2, 129–138.

    Google Scholar 

  • Eswaran, H., Lal, R., & Reich, P. F. (2001). Land degradation: an overview. In E. M. Bridges, I. D. Hannam, L. R. Oldeman, F. W. T. Penning-de-Vries, S. J. Scherr, & S. Sombatpanit (Eds.), Response to land degradation (pp. 20–35). Enfield, NH, USA: Science Publishers Inc..

    Google Scholar 

  • Lal, R. (2001). Soil degradation by erosion. Land Degradation and Development, 12(6), 519–539.

    Article  Google Scholar 

  • Lehmann J. G. (1816). Die Lehre der Situation- Zeichnung, oder Anweisung zum richtigen Erkennen und genauen Abbilden der Erdoberfläche in topographischen Karten und Situation-Planen.

  • Lin, S., Jing, C., Coles, N. A., Chaplot, V., Moore, N. J., & Wu, J. (2013). Evaluating DEM source and resolution uncertainties in the Soil and Water Assessment Tool. Stochastic Environmental Research and Risk Assessment, 27(1), 209–221.

    Article  Google Scholar 

  • Mondal, A., Khare, D., Kundu, S., Meena, P. K., Mishra, P. K., & Shukla, R. (2014). Impact of climate change on future soil erosion in different slope, land use, and soil-type conditions in a part of the Narmada River Basin. India Journal of Hydrologic Engineering, 20, C5014003. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001065.

    Article  Google Scholar 

  • Moore, I. D., Grayson, R. B., & Ladson, A. R. (1991). Digital terrain modeling: a review of hydrological, geomorphological, and biological applications. Hydrological Processes, 5, 3–30.

    Article  Google Scholar 

  • Moore, I. D., Gessler, P. E., Nielsen, G. A., & Peterson, G. A. (1993). Soil attribute prediction using terrain analysis (Vol. 57, pp. 443–452). Soil Science Society of America Journal.

  • Pan, J., & Wen, Y. (2014). Estimation of soil erosion using RUSLE in Caijiamiao watershed, China. Natural Hazards, 71(3), 2187–2205.

    Article  Google Scholar 

  • Smith, M. J., Goodchild, M. F., Longley, P. A. (2012) Geospatial analysis: a comprehensive guide, Electronic book. https://arxiv.org/ftp/arxiv/papers/1902/1902.06672.pdf.

  • Vrieling, A., (2007) Mapping erosion from space. Ph.D. Thesis Wageningen University, Germany, ISBN 978–90-8504-587-8.

Download references

Author information

Authors and Affiliations

  1. Department of Hydraulic and Water Resources Engineering, Debre Tabor University, Debre Tabor, Ethiopia

    Imran Ahmad, Afera Halefom Teka, Tesfa Gebre, Ebissa Gadissa & Asirat Teshome Tolosa

  2. Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Mithas Ahmad Dar

  3. Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Mithas Ahmad Dar

Authors
  1. Imran Ahmad
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mithas Ahmad Dar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Afera Halefom Teka
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Tesfa Gebre
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Ebissa Gadissa
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Asirat Teshome Tolosa
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mithas Ahmad Dar.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ahmad, I., Dar, M.A., Teka, A.H. et al. Application of hydrological indices for erosion hazard mapping using Spatial Analyst tool. Environ Monit Assess 191, 482 (2019). https://doi.org/10.1007/s10661-019-7614-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-019-7614-x

Keywords

Search

Navigation