Assessment of Gully Erosion Zonation Methods (Case study: Abgendi Watershed)

Document Type : Research Article

Authors

1 Center of Watershed Management Research of Kohgiluyeh and Boyer-Ahmad, Iran

2 Soil Conservation and Watershed Management Research Institute, Iran

3 PhD. Student in watershed engineering, Hormozgam University, Iran

Abstract

Surface. The development of gullies causes the loss of a great amount of soil and could be considered as one of the principal causes of geo-environmental degradation. In this research FAZI model introduced for gully erosion zonation in arid and semiarid area considered to calibration and validation in Kahkiloeh and Boyerahmad Province. Therefore, the ABGANDI watershed were selected by consideration of gully erosion distribution in Kahkiloeh and Boyerahmad Province. In this region the maps of lithology, slope, soil, rainfall, land cover and land use were extracted and thus selected the working units. In each of the units, gullies morphometric, soil penetration condition and soil conservation percent characteristics with survey investigated. Also, determinates the quantity value of six maps model input layer include (lithology, percent of slop, soil type, annual average precipitation, land use and percent of soil conservation) was determined. Finally, gully erosion mapping using overlay index, fuzzy algebraic sum, fuzzy algebra product and fuzzy gamma in GIS performed. Obtained result of different regions indicated that the fuzzy gamma model 0.8 is the proper method to gully erosion zoning in studied watershed.
 
 
 
 

Keywords

Main Subjects

References

  1. منابع

    1. Morgan RP. Soil erosion and conservation. John Wiley & Sons; 2009 Feb 5.
    2.  Carey BJ, Gray. Gully erosion. Department of Natural Resources and Mines, the State of Queensland; 2001. [on line] Available: http://www.gcenvironment.org.au/pdf/ LM81w.pdf.
    3. Kirkby MJ. Thresholds and instability in stream head hollows: a model of magnitude and frequency for wash processes. School of Geography, University of Leeds; 1992.
    4.  Webb RH, Hereford R. Flood and geomorphic change in the southwestern United State: a historical prespective. Proc. 7th Federal Interagency sedimentation Conf; 2001 March 25-29, Reno, Nevada, USA, IV 30 -IV 37.
    5. Prosser IP. Thresholds of channel initiation in historical and Holocene times, southeastern Australia. Advances in hillslope processes. 1996; 2:687-708.
    6. Harvey AM. Holocene hillslope gully systems in the Howgill Fells, Cumbria. Advances in hillslope processes. 1996; 2:731-52.
    7.  Poesen J Nachtergaele J, Deckers J. Gullies in the Tersaert Forest (Huldenberg, Belgium): Climatic or anthropogenic cause? In: Verstraeten, G. (Ed.), Gully Erosion Processes in the Belgian Loess Belt: Causes and Consequences. International Symposium on Gully Erosion under Global Change, K.U. Leuven, Leuven, Belgium, 16-19 April 2000. pp. 15-26.
    8. Gábris G, Kertész Á, Zámbó L. Land use change and gully formation over the last 200 years in a hilly catchment. Catena. 2003 Jan 1; 50(2):151-64.
    9. Boardman J, Parsons AJ, Holland R, Holmes PJ, Washington R. Development of badlands and gullies in the Sneeuberg, Great Karoo, South Africa. Catena. 2003 Jan 1; 50(2):165-84.
    10. Strunk H. Soil degradation and overland flow as causes of gully erosion on mountain pastures and in forests. Catena. 2003 Jan 1; 50(2):185-98.
    11.  Scheidegger AE. Theoretical geomorphology. Springer Science & Business Media; 2012 Dec 6.
    12.  Howard AD. Simulation of Stream Networks by Headword Growth and Branching. Geographical analysis. 1971 Jan 1; 3(1):29-50.
    13. Hugus MK, Mark DM. Spatial data processing of digital simulation of erosion. Technical Paper of the Fall Convention of the American Society of Photogrammetry / American Congress on Surveying and Mapping, 1988. pp. 683-693.
    14. Willgoose G, Bras RL, Rodriguez‐Iturbe I. Results from a new model of river basin evolution. Earth Surface Processes and Landforms. 1991 May 1; 16(3):237-54.
    15. Moore ID, Burch GJ, Mackenzie DH. Topographic effects on the distribution of surface soil water and the location of ephemeral gullies. Trans. ASAE. 1988 Jul 1; 31(4):1098-107.
    16. Morgan RPC, Mngomezulu D. Threshold conditions for iniation of Valley -side gullies in the Middle Veld of Swaziland. Catena. 2003; 50: 401-414.
    17. Marzolff I, Poesen J. The potential of 3D gully monitoring with GIS using high-resolution aerial photography and a digital photogrammetry system. Geomorphology. 2009 Oct 1; 111(1):48-60.
    18. Achten WM, Dondeyne S, Mugogo S, Kafiriti E, Poesen J, Deckers J, Muys B. Gully erosion in South Eastern Tanzania: spatial distribution and topographic thresholds. Zeitschrift für Geomorphologie. 2008 Jun 1; 52(2):225-35.
    19.  Jafarai Gorzin B, Kavian A. Assessment of Gully Erosion Occurrence in Sorkh-Abad Watershed Using Remote Sensing and Geographical Information System. Iran-Watershed Management Science & Engineering. 2009; Vol. 3, No. 7, 55-58. (In Persian).
    20. Rahi1 GhR, Nazari Samani AA, Ghoddousi J. Validation of the predicting model for land vulnerability to gully erosion in arid watersheds (Case study: Boushehr province). Journal of Range and Watershed Management, Iranian Journal of Natural Resources. 2011; Vol. 64, No.3, pp.281- 294. (In Persian).
    21. Esfandyari doraba F, Beheshti javid E, fathi Mh. Gully erosion Susceptibility Evaluation using fuzzy logic model(Case study: Golestan dam catchment-Ghornave River). Secend International Conference on Environmental Hazards. Kharazmi University. 2013; Pp 10. (In Persian).
    22. Farajzadeh M, Afzali AA, Khalili Y, Ghelichi EA. Assessment of the sensitivity to gully erosion using multiple regression models. Case Study: Kiasar, , environmental erosion research journal. 2012; 2(6): 57-42. (In Persian).
    23. Ahmadi M. Analysis factors affecting on formation and expansion gully erosion, Case study: Lamerd. MS Thesis, School of Geography Tehran University. 2011; Page 11. (In Persian).
    24. Zadeh LA. Fuzzy sets. Information and control. 1965 Jun 1;8(3):338-53.
    25. De Gooijer JG, Hyndman RJ. 25 years of time series forecasting. International journal of forecasting. 2006 Dec 31; 22(3):443-73.
    26. Ayalew L, Yamagishi H, Marui H, Kanno T. Landslides in Sado Island of Japan: Part II. GIS-based susceptibility mapping with comparisons of results from two methods and verifications. Engineering Geology. 2005 Nov 30; 81(4):432-45.
    27.  Matekan AA, Samiea J, Poorali SH, Safaei M. Fuzzy Logic Models and Remote Sensing Techniques for Landslide Hazard Zonation in the Watershed Lajym. Appliedgeology Journal. 2009; 4: 318-325.
    28. Mirnazari J, Shahabi H, KHezri S. Landslide Risk Assessment and Zonation using AHP Model and Fuzzy Logic Operators in the Posht Tang Watershed-Sarpol-e Zahab (Kermanshah Province). Geographical Development. 2014; (37): 53-70.
    29.  Shadfar S, Yamani M, GHodoosi J, Ghayoomiean J. Risk Landslide Zonation using Analytic Hierarchy Process (AHP), Case Study: Chakrood Watershed in the Tonekabon. Research and Construction in Natural resources. 2007; 20 (75): 118-126.
    30. Servati M, Ghedosi J, Dadkhah M. Factors affecting in the formation and development of gully erosion in the losses, research and construction in natural resources. 2008; No. 21. (In Persian).
    31. Shahrivar A. Factors Effecting Gully Erosion and Model Presentation in Souq- Dehdasht, Master’s Thesis, Faculty of Natural Resources, University of Tehran. 1997; (In Persian).
    32. Karam A, Ghelizade A, Agha alikhani M, Afsharmamesh H. The application of Topsis and Fuzzy models in mapping of landfall movements. 2013; NO. 3. Pp. 75-94. (In Persian).
    33. Nazm far H, Beheshti javid E, fathi MH. Potential flooding and flood risk zonation using fuzzy logic model (Case study: ghuri chay river catchment). Secend International Conference on Environmental Hazards. Kharazmi University. 2013; Pp 9. (In Persian).

     

     

Iranian journal of Ecohydrology
Volume 4, Issue 1
March 2017
Pages 119-132

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History

  • Receive Date: 04 November 2016
  • Revise Date: 01 February 2017
  • Accept Date: 18 February 2017

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