Assessment the Gully Erosion Risk in Quyjoq watershed

Document Type : Research Article

Authors

1 Assistant Professor of Geography, University of Golestan, Gorgan, Iran

2 MA in Environmental Hazards, Department of Geography, University of Golestan, Gorgan, Iran

3 Associate professor of Geography, University of Kharazmi, Tehran, Iran

Abstract

Prediction of occurrence of gully erosion through the use of models and output them to the hazard mapping of gully erosion, most appropriate strategy for land management planning in watersheds prevent the occurrence of erosion. in this research, the zoning of gully erosion in the Quyjoq watershed Golestan province of Multilayer Perception neural network structure and the use of variables the selected suitable factors are: slope, aspect, elevation, land unit, land use, distance to river, lithology, distance to road.  SPSS modeler software and MLP method were used to perform the neural network. The method of using layers in MLP method was 1-8-9. It includes 9 input layers, 8 hidden layers and 1 output or target layer. Results of the study show that 20, 30, 24, 16 and 10 percent of the region form the areas with very high, high, medium, low and very low risk of erosion. This finding is primarily related to streams, roads and geology. The produced gully erosion susceptibility maps can be helpful to make decisions for soil and water planning and management and finally sustainable development in the Quyjoq watershed.

Keywords

Main Subjects


References (in Persian)
Ahmadi, H. (2006). Applied Geomorphology, Volume II, Water Erosion, University of Tehran Press, 714 p. [In Persian]
Besharati, b., Abedini, m., Asghari, S. (2018).  Analyzing and Investigating Effective Factors on Creating and Promoting Gully Erosions in Shorchay Watershed. Journal of Geographical Researches,33(2), pp 206-222. doi: 10.29252/geores.33.2.206. [In Persian]
Chenari, K.S., Bahremand, A., Berdi Sheikh, V., Komaki, C.B. (2016). Gully Erosion Hazard Zoning Using of Dempster-Shafer Model in The Gharnaveh Watershed, Golestan Province. Journal of Ecohidrology, 3(2), pp 219-231. doi: 10.22059/ije.2016.59663. [In Persian]
Esfandiari dar Abad, F.,   Beheshti Javid, E., Fathi, M.H.  (2013).  Investigation of Gully erosion using a fuzzy model (study case study: Golestan dam basin-Qarnaveh river). Second International Conference on Environmental Hazards, Kharazmi University-Tehran Oct, 29&30. [In Persian]
Ghahroudi, M. (2003). Hazard zoning model due to the spread of Gully erosion in the Bijar-Kulocheh Abcand basin using GIS&RS.  Research plan of the Ministry of Energy, PP 1-95. [In Persian]
Khazahi, M., Sharifi, A., Mollahi, A., Sofi, M.  (2012). Investigating the effective factors on the development of gully erosion in Maroon watershed.  Journal of Soil Resharch, 26(2), pp 153-163. [In Persian]
Maghsoodi, M., Shadfar, S., Abasi, M. (2012). Gully erosion Susceptibility zoning in the Zavarian watershed, Qum province. Journal of Quantitative Geomorphological researches1(2), pp 35-52. [In Persian]
Malkinezhad, H., Porshaian, R.  (2012).  Application and Comparison of Integrated Time Series and Artificial Neural Network Model for Prediction of the Variations of Ground Water Level (Case study: Plain Marvast). Journal of Irrigation Sciences and Engineering (JISE), Vol.3, pp 251-262. [In Persian]
Menhaj, M.B.  (1998).  Fundamental of Neural Networks (Computational Intelligence), Vol.1, p17-49. [In Persian]
Moghimi, E., Salami, N.  (2011).  Mechanism of Geomorphologic creation and development of Gully in the Winter-Quarter of Haj Mohammad in the Northern slope of Khorslu in Ardebil. Geographical Journal of Territory, 8(2), PP 49-61. [In Persian]
Movahedi, S., Fathabadi, A.H., Seedian, S.M., Heshmatpour, A. (2019). Evolution the efficiency of Random Forest in Gully erosion susceptibility mapping, Journal of Range and Watershed Management, 72(1), PP 241-261. [In Persian]
Shadfar, S. (2012). Application of fuzzy logic operators for investigation of Gully erosion using GIS (Case study: Troud watershed basin). Journal of Geography information, 92(23), PP 35-42. [In Persian]
Shadfar, S. (2015). Application of fuzzy logic operators for investigation of Gully erosion using GIS (Case study: Troud watershed basin). Geography information Journal, 23(92), PP  35-42. [In Persian]
Saffari, A., Ahmadi, M., Rahimi, S. (2016). Gully erosion zonation by ANP and AHP models in the kahor plain basin, Fars. Researches in earth sciences, 6(24), PP. 94-110. [In Persian]
Yamani, M., zamanzadah, S.M., Ahmadi, M. (2013).  Analysis of Factors Affecting the Formation and Development of Gully Erosion: A Case Study of Kahoor Plain in Fars Province.  Journal of Geographical Research on Desert Areas,1(1), PP 53-83. [In Persian]
Zand moghaddam, M.R.  (2009).  Study of gully erosion in the northern Losses of Golestan province (Aqband) and strategies to combat it.  Islamic Azad University Science and Research Branch ,2(1), PP 73-89. [In Persian]
 
References (in English)
Agnesi, V., Angileri, S., Cappadonia, C., Conoscenti, C., Rotigliano, E. (2010).  Multi-parametric GIS analysis to assess gully erosion susceptibility: a test in southern Sicily, Italy. landform Analysis, vol.17, pp 2-15.
Arabameri, A.R., Pradhan, B., TienBui, D. (2020).  Spatial modelling of gully erosion in the Ardib River Watershed using three statistical-based techniques. Catena, V.190. doi.org/10.1016/j.catena.2020.104545.
Bacellar, L.A.P., NNetto, A.L.C., Lacerada, W.A. (2000). controlling factors of gullying in the Maracuja catchment, southeastern Brazil.  Earth Surface Processes and Landforms, 25(11), pp 1201-1220. doi/abs/10.1002/esp.1193.
Bouchnak, H., Felfoul, M.S., Rached Boussema, M., Habib Snane, M. (2009).  Slope and Rainfall Effects on The Volume of Sediment Yield by Gully Erosion in The Souar Lithologic Formation (Tunisia). Catena, V.78, PP 170–177. doi.org/10.1016/j.catena.2009.04.003.
Caniani, D., Pascale, S., Sdao, F., Sole, A.  (2008).  Neural networks and landslide susceptibility: a case study of the urban area of Potenza.  Natural Hazards, 45, pp 55–72. doi: 10.1007/s11069-007-9169-3.
Conforti, M., Aucell, C., Robustelli, G., Scarciglia, F. (2011). Geomorphology and GIS analysis for mapping gully erosion susceptibility in the Turbolo stream catchment (Northern Calabria, Italy). Natural Hazards, Vol.58, pp 881-898. doi:10.1007/s11069-010-9598-2.
Doe, M. C., hirumalayah, C. (2000).  Real time forecasting using neural networks Artificial Neural Networks in Hydrology, edited by R.S. Govindarajue and A. Ramachandra Rao, Chapter 3.
Dai, F.C., Lee, C.F., Xu, Z.W. (2001).  Assessment of landslide susceptibility on the natural terrain of Lantua sland, Hong Kong.  Environment Geology, 40(3), pp 381-391.
Dube, F., Nhapi, I., Murwira, A., Gumindoga, W., Goldin, J., Mashauri, D.A.  (2014).  Potential of weight of evidence modeling for gully erosion hazard assessment in Mbire District–Zimbabwe. Physics and Chemistry of the Earth, Vol.67, pp 145-152. doi: 10.1016/j.pce.2014.02.002.
Ehiorobo, J.O., Audu, H.A.P. (2012). Monitoring of gully erosion in an urban area using geo information technology.  journal of emerging trend in engineering and applied sciences(JETEAS), 3(2), pp 270-275.
Ermini, L., Catani, F., Casagli, N. (2005). Artificial neural network to landslide susceptibility assessment, Geomorphology, 66, pp 327–343. doi.org/10.1016/j.geomorph.2004.09.025.
Gomez Gutirrez, A., Schnabel, S., Felicsimo, A.M. (2009). modeling the occurrence of gullies in rangeland of so Uthwest Spain.  earth surface process and landform, 34, PP 1894.1902.  doi.org/10.1002/esp.1881.
Gomez, H., Kavzoglu, T. (2005). Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela. Engineering Geology, 78(1– 2), PP 11–27. doi.org/10.1016/j.enggeo.2004.10.004.
Javidan, N., Kavian, A., Pourghasemi, H.R., Conoscenti, C., Jafarian, Z.  (2019). Gully Erosion Susceptibility Mapping Using Multivariate Adaptive Regression Splines—Replications and Sample Size Scenarios. Water, 11(11), PP 1-22. doi.org/10.3390/w11112319.
Kirkby, M.J., Bracken, L.J. (2009).  Gully process and gully dynamics. Earth Surface processes and Landforms, (341), pp 1841-1851.  doi.org/10.1002/esp.1866.
Khairulmaini, O.S., Mousazadeh, F. )2011.( Gully erosion in semiarid regions.  journal of  Procedia - Social and Behavioral Sciences, V.19, pp  655-661.
Luca, F., Conforti, M., Robustilli, G. (2011). Comparison of GIS-based gullying susceptibility mapping multivariate statistics, northern Calabria, south Italy. Geomorphology, V.134, PP 297-308.  doi.org/10.1016/j.geomorph.2011.07.006.
Lee, S., Sambath, T. (2006). Landslide susceptibility mapping in the DamreiRomel area, Cambodia using frequency ratio and logistic regression models.   Environmental Geology, 50 (6), PP  847–856.
Morgan, R.P.C. (2005). Soil erosion and conservation.  Third edition, Lack well Publishing. 316p.
oghbonn, J.U. (2012). understanding gully erosion vulnerability in old Imo state using geographic information system and geo statistics.  American journal of geographic information system, PP 66-71.
Oparaku, L. A., Iwar, R. T. (2018).  Relationships between average gully depths and widths on geological sediments underlying the Idah-Ankpa Plateau of the North Central Nigeria. International Soil and Water Conservation Research, 6(1), PP 43-50. doi.org/10.1016/j.iswcr.2017.12.003.
poesen, J., Govers, G. (1990).  Gully erosion in the loam belt of Belgium: typology and control measures: Soil Erosion on Agricultural Land. Proceedings of a Workshop Sponsored by the British Geomorphological Research Group, pp 513-530.
  Poesen, J., Nachtergaele, J., Verstraeten, G., Valentin, C. (2003). Gully erosion and environmental change: Importance and research needs. Catena, 50(1), PP 91–133.
Saksa, M., Minar, J. (2012). Assessing the natural Hazard of Gully Erosion through a Geographic Information System (GIS): A Case Study from the Western Crpathian.  Geography, 117 (2), PP 152-169. doi: 10.37040/geografie2012117020152.
Valentine, C., Poesen, J., Li, Y. (2005).  Gully erosion: Impacts, factors and control. Catena, 63(31), PP 132-153.
Wang, R., Zhang, Sh., Pu, L., Yang, J., Yang, Ch., Chen, J., Guan, C., Wang, Q., Chen, D., Fu, B., Sang, X. (2016).   Gully Erosion Mapping and Monitoring at Multiple Scales Based on Multi-Source Remote Sensing Data of the Sancha River Catchment, Northeast China.  international journal of Geo- information, 5(11), PP 1-17.  doi: 10.3390/ijgi5110200.
  • Receive Date: 06 May 2020
  • Revise Date: 10 August 2020
  • Accept Date: 06 December 2020
  • First Publish Date: 06 December 2020
  • Publish Date: 22 December 2021