Abstract
The main purpose of the present study was to model gully erosion susceptibility by Evidential Belief Function (EBF) data-driven technique via different scenarios in Maharloo Watershed, Fars Province, Iran. So, according to extensive field surveys, the locations of the head cut, end cut, and also the boundary of the gully locations were identified and the gully inventory map was prepared. Then, different spatial layers such as: elevation, slope degree, plan curvature, TWI, distance from rivers, distance from roads, drainage density, slope aspect, lithology, annual mean rainfall, NDVI, land use, and soil characteristics (pH, clay percent, electrical conductivity (EC), and silt percentage), were identified as effective factors on the occurrence of gullies and their maps were prepared and classified in the GIS software. In the next stage, the correlation among each agent and gully erosion positions was considered using the EBF algorithm. Finally, gully erosion spatial maps were prepared and evaluated using ROC curve. The accuracy of the maps prepared using EBF algorithm by three scenarios was 0.833, 0.756, and 0.809 for the head cut, end cut, and polygon of gully locations, respectively.
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References
Carranza, E.J.M., Hale, M.: Evidential belief functions for data-driven geologically constrained mapping of gold potential, Baguio district, Philippines. Ore Geol. Rev. 22, 117–132 (2002)
Chaplot, V., Giboire, G., Marchand, P., Valentin, C.: Dynamic modeling for linear erosion initiation and development under climate and land-use changes in northern Laos. Catena 63(2), 318–328 (2005)
Conoscenti, C., Angileri, S., Cappadonia, C., Rotigliano, E., Agnesi, V., Märker, M.: Gully erosion susceptibility assessment by means of GIS-based logistic regression: a case of Sicily (Italy). Geomorphology 204, 399–411 (2014)
Conforti, M., Aucelli, P.P.C., Robustelli, G., Scarciglia, F.: Geomorphology and GIS analysis for mapping gully erosion susceptibility in the Turbolo stream catchment (Northern Calabria, Italy). Nat. Hazards 56, 881–898 (2011)
Dempster, A.P.: Upper and lower probabilities induced by a multivalued mapping. Ann. Math. Stat. 38, 325–339 (1967)
Hussin, H.Y., Zumpano, V., Reichenbach, P., Sterlacchini, S., Micu, M., van Westen, C., Bălteanu, D.: Different landslide sampling strategies in a grid-based bi-variate statistical susceptibility model. Geomorphology 253, 508–523 (2016)
Lee, S., Hwang, J., Park, I.: Application of data-driven evidential belief functions to landslide susceptibility mapping in Jinbu, Korea. Catena 100, 15–307 (2012)
Lucà , F., Conforti, M., Robustelli, G.: Comparison of GIS based gullying susceptibility mapping using bivariate and multivariate statistics: Northern Calabria, South Italy. Geomorphology 134, 297–308 (2011)
Poesen, J.: Conditions for gully formation in the Belgian loam belt and some ways to control them. Soil Technol. Ser. 1, 39–52 (1989)
Pourghasemi, H.R., Beheshtirad, M.: Assessment of a data driven evidential belief function model and GIS for groundwater potential mapping in the Koohrang Watershed, Iran. Geocarto Int. 30(6), 662–685 (2015)
Pourghasemi, H.R., Rahmati, O.: Prediction of the landslide susceptibility: which algorithm, which precision? Catena 162, 177–192 (2018)
Rahmati, O., Haghizadeh, A., Pourghasemi, H.R., Noormohamadi, F.: Gully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison. Nat. Hazards 82(2), 1231–1258 (2016)
Shafer, G.A.: Mathematical Theory of Evidence. Princeton University Press, Princeton (1976)
Youssef, A.M., Al-Kathery, M., Pradhan, B.: Landslide susceptibility mapping at Al-Hasher area, Jizan (Saudi Arabia) using GIS-based frequency ratio and index of entropy models. Geosci. J. 19(1), 113–134 (2015)
Zakerinejad, R., Maerker, M.: Prediction of Gully erosion susceptibilities using detailed terrain analysis and maximum entropy modeling: a case study in the Mazayejan Plain, Southwest Iran. Geogr. Fis. Din. Quat. 37(1), 67–76 (2014)
Zabihi, M., Mirchooli, F., Motevalli, A.R., Khaledi Darvishan, A., Pourghasemi, H.R., Zakeri, M.A., Sadighi, F.: GIS-based gully erosion spatial modeling in northern Iran. Catena 161, 1–13 (2018)
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Amiri, M., Pourghasemi, H.R., Ghanbarian, G.A., Afzali, S.F. (2019). Spatial Modeling of Gully Erosion Using Different Scenarios and Evidential Belief Function in Maharloo Watershed, Iran. In: El-Askary, H., Lee, S., Heggy, E., Pradhan, B. (eds) Advances in Remote Sensing and Geo Informatics Applications. CAJG 2018. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-01440-7_59
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DOI: https://doi.org/10.1007/978-3-030-01440-7_59
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