References [in Persian]
Ahmadi, A., Ghorbanian, R., Jafarzadeh, A. A. (2017). Factors affecting inherent soil erodibility against wind (Case study: Tabriz Plain). Proceedings of the 15th Iranian Soil Science Congress, Isfahan University of Technology, Iran. [in Persian]
Ali-Soufi, M. and Shahriari, A. (2020). Investigation of some chemical properties and amounts of some nutrient elements associated with dust in Sistan Plain. Journal of Natural Environmental Hazards, 9(23), 99-116. doi: 10.22111/jneh.2019.29207.1504 [in Persian]
Arbab 1, Pahlavanravi 2, Piri Sahragard H, Amiri M. (2018). Accuracy Assessment of Geo-Statistics and Artificial Neural Networks Methods to Estimate Threshold Wind Velocity: A Case of Jazinak Region, Sistan Plain. E.E.R.; 8 (3), pp 87-105. [in Persian]
Asadzadeh, F., Khosravi Aghdam, K., Zawareh, M., Yaghmaian Mahabadi, N., Ramzanpour, H. (2017). Spatial changes of soil mineral particles using geostatistics and remote sensing for soil texture zoning. Water and Soil Journal (Agricultural Sciences and Industries), 32: 7, pp 1222-1207. [in Persian]
Behnam, V., Gholamalizadeh Ahangar, A., Rahmanian, M., Bameri, A. (2019). Spatial Distribution of Some Physical and Chemical Properties of Soil using Geostatistic Methods (Case study: Zabol to Zahedan Route). Environment and Water Engineering, 5:3, pp 251-263[in Persian]
Dahmardeh, M., Mohammadghasemi, M. and Ghasemi, I. (2022). Evaluation of conservation and recreational functions of Hamoon wetland, using conditional valuation approach. Iranian Journal of Agricultural Economics and Development Research, 53(1), 129-143. doi: 10.22059/ijaedr.2021.332234.669091 [in Persian]
Delarami, A., Gholamalizadeh, A., Shabani, A. (2020). Determining Optimal Combination of Input Variables Using Gamma Test for Absorbable Potassium Modeling in the Fuzzy-Neural System (Case Study: Mian-Kangi Region Zabol). Crop Science Research in Arid Regions, 2(1), pp 67-75. [In Persian]
Ebrahimi-Khusfi, M. (2023). Analysis of Changes in the Area of Hamoon Wetlands and other Water Bodies in Sistan Region using Satellite Images. Geography and Development, 21(71), 139-165. doi: 10.22111/gdij.2023.7598 [in Persian]
Eskandari Damaneh, H., Gholami, H., Khosravi, H., Mahdavi Najafabadi, R., Khoorani, A., & Li, G. (2020). Modeling Spatial and Temporal Changes in Land-Uses and Land Cover of the Urmia Lake Basin Applying Cellular Automata and Markov Chain. Geography and Environmental Sustainability, 10(2), 57-72. doi: 10.22126/ges.2020.5303.2238 [in Persian]
Gholamallizade Ahangar, A., Sarani, F., Hashemi, M., Shabani, A. 2015. Comparison of Linear Regression Methods, Geostatistical and Artificial Neural Network Modeling of Organic Carbon in Dry Land of Sistan Plain, Journal of Water and Soil. 6:28, pp 1250-1260. [in Persian]
Hasani Pak, A. A. (2010). Geostatistics. University of Tehran Press, 330 pp. [in Persian]
Hashemi, M, Gholamalizadeh Ahangar, A, Bameri, A, Sarani, F, Hejazizadeh, A. (2016), Survey and Zoning of Soil Physical and Chemical Properties Using Geostatistical Methods in GIS (Case Study: Miankangi Region in Sistan), Journal of Water and Soil, 30 (2), pp 443-458. [In Persian]
Hosseinbor, A., Shahriari, A., Shirmohammadi, E., Ziaei Javid, A. R., Rezaei, M., & Mousavi, R. (2022). Determining the effect of environmental variables on water erodibility of the Sistan floodplain.
Journal of Iranian Water Engineering Research, 2(4), 57-78.
https://doi.org/10.22034/ijwer.2025.515438.1074 [in Persian]
Jafarnia, S., Akbarinia, M. (2014). Investigation of spatial distribution of soil and water properties by use of geostatistics in Mangrove forest of Qeshm Island. Iranian Journal of Forest and Poplar Research. 22:4, pp 673-686. [in Persian]
Jamalzehi Samareh, Y., Shahriari, A., Pahlavan-Rad, M. R., Ziaie Javid, A. and Bameri, A. (2024). Three-dimensional mapping of soil saturation percentage using the combination of geostatistical methods and environmental variables in the Sistan Plain. Journal of Water and Soil Conservation, 31(4), 89-111. doi: 10.22069/jwsc.2025.22614.3746 [in Persian]
Maleki S, Soffianian A R, Soltani Koupaei S, Pourmanafi S, Rahdari V. (2019). Habitat suitability modeling of water birds and waders in Hamun wetland by Maximum Entropy model. Wetland Ecobiology, 11 (2):5-14 [in Persian]
Mir, H., Gholamallizadeh Ahangar, A., Shabani, A, (2016), Determination of the Most Important Soil Parameters Affecting the Availability of Phosphorus in Sistan Plain, Using Connection Weight Method in Neural Networks, Journal of Water and Soil, 9(26), pp 1674-1687. [In Persian]
Noori, A., Eftekhari, K., Efandiari, M., Mohammadi Torkashvand, A., Ahmadi, A. (2022). Estimation of soil erodible fraction using artificial neural network models and integration of artificial neural network with genetic algorithm in the part of Qazvin province. E.E.R. 12 (1), pp 145-159. [in Persian]
Owliaie, H., Salehi, A., Zareian, G. (2024). Assessment of geostatistical models for zoning spatial distribution of some soil properties in Darengan region with different land uses, Fars province. Iranian Journal of Soil and Water Research. 55:1, pp 97-116. [In Persian]
Rezazadeh Shamkhal, S., Gholamalizadeh, A., Ghazmeh, S., Froughifar, H., Bameri, A. (2016). Evaluation of Different Interpolation Methods in Spatial Estimation of Soil Properties in Sistan Plain. Water and Soil Science, 26(2-2), pp 151-162. [in Persian]
Shahriari, A., Mohammadi, S. M., Shirmohammadi, E., Fatemi Ghomesheh, A. and Galavi, H. (2025). Investigating the spatial distribution of soil wind-erodible indices using geostatistical methods in the Sistan plain. Journal of Natural Environmental Hazards, 14(43), 111-132. doi: 10.22111/jneh.2024.49372.2060 [in Persian]
Tajik, F., Rahimi, H., Pazira, A, (2002). The effect of soil organic matter, electrical conductivity and sodium adsorption ratio on the tensile strength of aggregates, Journal of Science and Technology of Agriculture and Natural Resources, 3, pp 1-15. [In Persian]
References [in English]
Webb, N.P., Strong, C.L. (2011). Soil erodibility dynamics and its representation for wind erosion and dust emission models. Aeolian Res. 3, 165–179.