Journal of Arid Regions Geographic Studies

Journal of Arid Regions Geographic Studies

Evaluation and zoning of soil erosion potential using geomorphometric indexes and Fuzzy approach in Khiavchai watershed, Meshginshahr

Document Type : Original Article

Authors
1 Department of Physical Geography, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran.
2 Department of Watershed Management, Faculty of Natural Resources, Tarbiat Modares University, Noor, Iran
3 Department of Natural Resources and Member of Water Management Research Center, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran.
Abstract
Aim: Erosion is a critical geomorphological process with significant environmental implications, including land degradation, fertility loss, and negative effects on aquatic ecosystems. It is recognized as an environmental hazard due to the substantial damages it can cause.
Materials & Methods: This research uses geomorphometric indicators and a fuzzy approach to zoning the soil erosion potential in the Khiavchai area of Meshginshahr. Various variables were used, including slope, aspect, surface curvature, range length, Melton's roughness coefficient, stream power index, drainage density, topographic wetness index, distance from the river, vegetation, precipitation, and geological formations. The information layers were combined based on their impact on erosion using different fuzzifier functions. The fuzzy gamma operator in a GIS platform was utilized to combine and overlay the indicators. 
Finding: The results revealed that approximately 8.4% of the study area exhibited high erosion potential. In comparison, around 18.7% had a high erosion potential, primarily located in the middle parts of the watershed. The high erodibility in these areas can be attributed to erodible geological formations, steep slopes, and high drainage density. Other contributing factors include predominantly southern and western slope aspects, longer slopes, and poor vegetation. 
Conclusion: The indicators used in assessing erosion-prone areas provide insights into the geomorphological and hydrological conditions of the study watershed. The prepared erosion map can serve as a foundation for prioritizing soil conservation management measures and reducing the impact of erosion. 
Innovation: This research employs a combination of geomorphometric indicators and a fuzzy approach to assess soil erosion potential accurately. The practical application lies in utilizing the study's findings to prioritize areas for effectively implementing erosion mitigation and soil conservation measures in land management.
Keywords

Abedini, M., Javadi, S., Mostafazadeh, R., Pasban, A. (2022). Relationship of Vegetation and Geomorphic Indices with Erosion and Sediment Rates in Koozeh Topraghi Watershed. Hydrogeomorphology, 9(32), 128-105. doi: 10.22034/hyd.2022.51464.1636 https://doi.org/10.22034/hyd.2022.51464.1636 [in Persian]
Anjireddy, M. )2008(. Remote sensing and geographical information systems. BS Publications, Hyderabad. 453p. https://www.amazon.in/TEXTBOOK-SENSING-GEOGRAPHICAL-INFORMATION-SYSTEMS/dp/9381075972
Bakimchandra, O. )2011(. Integrated Fuzzy-GIS approach for assessing regional soil erosion risks. Institut für Wasserbau der Universität Stuttgart. https://elib.uni-stuttgart.de/handle/11682/380
Bizzi, S. and Lerner, D. N. )2015(. The use of stream power as an indicator of channel sensitivity to erosion and deposition processes. River Research and Applications, Vol. 31, pp. 16-27. https://onlinelibrary.wiley.com/doi/10.1002/rra.2717
CORNELIS, W. M. (2006). Hydroclimatology of wind erosion in arid and semiarid envirmonments. Dryland ecohydrology, 141-159. https://doi.org/10.1007/1-4020-4260-4
Esfandiari Darabad, F., Mostafazadeh, R., Pasban, A.H., Nezafat Takleh, B. (2022). Integrating terrain and vegetation indices to estimate and identify the soil erosion risk Amoughin watershed, Ardabil. Journal of Spatial Analysis Environmental Hazards, 9 (1) :77-96 http://dorl.net/dor/20.1001.1.24237892.1401.9.1.5.1 [in Persian]
Fauzi, M., Suprayogi, I., Sutikno, S., Sandhyavitri, A., & Riyawan, E. (2017). Development of erosion risk map using fuzzy logic approach. In MATEC Web of Conferences (Vol. 101, p. 04021). EDP Sciences. https://doi.org/10.1051/matecconf/201710104021
Ghorbani, A., Hazbavi, Z., Mostafazadeh, R., & Alaei, N. (2021). Analysis the Relationship between Landscape Metrics and Soil Erosion of KoozehTopraghi Watershed, Ardabil Province. Journal of Geography and Environmental Hazards9(4), 65-91. https://doi.org/10.22067/geoeh.2021.67020.0 [in Persian]
Hellin, J. (2006). Better land husbandry: from soil conservation to holistic land management. Science publishers. https://www.amazon.com/Better-Land-Husbandry-Conservation-Management/dp/1578082447
Lal, R., Ahmadi, M., & Bajracharya, R. M. (2000). Erosional impacts on soil properties and corn yield on Alfisols in central Ohio. Land Degradation & Development, 11(6), 575-585. https://doi.org/10.1002/1099-145X(200011/12)11:6%3C575::AID-LDR410%3E3.0.CO;2-N
Lee, S. (2007). Application and verification of fuzzy algebraic operators to landslide susceptibility mapping. Environmental Geology, 52, 615-623. https://doi.org/10.1007/s00254-006-0491-y
Li, Q. (2013). Fuzzy approach to analysis of flood risk based on variable fuzzy sets and improved information diffusion methods. Natural Hazards and Earth System Sciences, 13(2), 239-249. https://doi.org/10.5194/nhess-13-239-2013
Lucà, F., Conforti, M., & Robustelli, G. (2011). Comparison of GIS-based gullying susceptibility mapping using bivariate and multivariate statistics: Northern Calabria, South Italy. Geomorphology, 134(3-4), 297-308. https://doi.org/10.1016/j.geomorph.2011.07.006
Morgan, R. P. C. (2009). Soil erosion and conservation. John Wiley & Sons.  https://svgaos.nl/wp-content/uploads/2017/02/Morgan_2005_Soil_Erosion_and_Conservation.pdf
Melton, M. A. (1965): The geomorphic and paleoclimatic significance of alluvial deposits in Southern Arizona. Journal of Geology, 73:1-38. http://www.jstor.org/stable/30066379
Mostafazadeh, R., Haji, Kh., Esmali-Ouri, A., Nazarnejad, H. 2018. Prioritization the critical sub-watersheds based on soil erosion and sediment using Watershed Erosion Response Model (WERM) and morphometric analysis (Case study: Rozechai watershed, West Azerbaijan Province). Journal of Watershed Management Research, 8(16):142-156. http://dx.doi.org/10.29252/jwmr.8.16.142 [in Persian]
Mostafazadeh, R., Talebi Khiavi, H., Esmali-Ouri, A., & Golshan, M. (2022). Surface runoff and sediment yield response under the rainfall simulation condition controlled by soil variables of a semi-arid landscape. Environment, Development and Sustainability, 1-18. https://doi.org/10.1007/s10668-022-02569-z
Naderi, F., Karimi, H., Naseri, B. 2010. Soil erosion potential zoning in Aseman Abad Watershed by Erosion Index, Watershed Management Researches Journal (Pajouhesh & Sazandegi), 89: 44-51. https://sid.ir/paper/200563/en [in Persian]  
Nandalal, H. K., & Ratnayake, U. R. (2011). Flood risk analysis using fuzzy models. Journal of Flood risk management, 4(2), 128-139. http://dx.doi.org/10.1111/j.1753-318X.2011.01097.x
Rezaei Moghaddam, M. H., Rajabi, M., Daneshfaraz, R., & Keirizadeh, M. (2016). Zonation and Investigating the Morphological Effects of Flooding on Zarrineh-Roud River (From Sariqamish to Noruzlu Dam). Journal of Geography and Environmental Hazards, 5(1), 1-20. doi: 10.22067/geo.v5i1.52330 https://doi.org/10.22067/geo.v5i1.52330 [in Persian]
Sarvar, H., Kheirizadeh, H. 2017. Analyzing Endogenous and Exogenous Physical Development and Introducing of an Optimum Pattern. The Journal of Spatial Planning, 21 (3) :329-367. http://hsmsp.modares.ac.ir/article-21-4668-en.html [in Persian]
Sreelakshmy, M., Dhanusree, M., & Thangamani, V. (2021). Application of GIS techniques to understand the geomorphometric characteristics of a tropical watershed in South India, Geology, Ecology, and Landscapes, https://doi.org/10.1080/24749508.2021.1952749
Talebi Khiavi, H., & Mostafazadeh, R. (2022). The spatiotemporal dependencies of terrain indices with soil characteristics in a steep hillslope mountainous area. Arabian Journal of Geosciences, 15(10), 937. https://doi.org/10.1007/s12517-022-10220-4
Talebikhiavi H, Zabihi M, Mostafazadeh R. 2017. Effects of Land-use Management Scenarios on Soil Erosion Rate using GIS and USLE Model in Yamchi Dam Watershed, Ardabil. Journal of Water and Soil Science, 21 (2) :221-234. http://dx.doi.org/10.18869/acadpub.jstnar.21.2.221 [in Persian]
Timmermans, H. (2005). Decision Support Systems in Urban Planning. Taylor & Francis. 252p. https://cir.nii.ac.jp/crid/1130282272071302144
Wang, Z. Y., Lee, J. H., & Melching, C. S. (2014). River dynamics and integrated river management. Springer Science & Business Media. http://dx.doi.org/10.1007/978-3-642-25652-3
Zhu, D., Wang, T. W., Cai, C. F., Li, L., Shi, Z. H. (2009). Large-scale assessment of soil erosion using a neuro-fuzzy model combined with GIS: a case study of Hubei province, China. Land Degradation & Development, 20, 654-666. https://doi.org/10.1002/ldr.956

  • Receive Date 07 February 2023
  • Revise Date 09 March 2023
  • Accept Date 19 April 2023
  • Publish Date 01 August 2024