Volume 75 (2022)
Volume 74 (2021)
Volume 73 (2020)
Volume 72 (2019)
Volume 71 (2018)
Volume 70 (2017)
Volume 69 (2016)
Volume 68 (2015)
Volume 67 (2014)
Volume 66 (2013)
Volume 65 (2012)
Volume 63 (2010)
Volume 62 (2009)
Application of Geomorphometric attributes in digital soil mapping by using of machine learning and fuzzy logic approaches

Asghar Rahmani; Fereydoon Sarmadian; Sayed Roholla Mousavi; Seyyed Erfan Khamoshi

Volume 73, Issue 1 , June 2020, , Pages 105-124


  Conventional soil mapping is related to High density sampling, affected by scale and expert knowledge So using of new data mining methods in digital soil properties mapping was the main aim of this study for resolving conventional soil survey problems. In this research, 62 surface soil samples based ...  Read More

Evaluating the Different Statistical Models for Flood Susceptibility Mapping in Guilan Province

Eisa Gholami; Mehdi Vatakhah; Seyed Jalil Alavi

Volume 72, Issue 4 , March 2020, , Pages 1011-1022


  Due to the lack of information in most of the watersheds, many researchers attempt to use spatial analysis within Geographic Information System (GIS) in hydrological and Flood Prone (FP) area studies. The present study was designed to compare the efficiency of three models i.e. Support Vector Machine ...  Read More

Groundwater Potential Determination on Yasouj-Sisakht area Using Random Forest and Generalized Linear Statistical Models

Mohammad Taghi avand; Saeed Janizadeh; Mohsen Farzin

Volume 72, Issue 3 , December 2019, , Pages 609-623


  Increasing population and agricultural development need dramatically water resources groundwater resources, therefore, are increasingly being considered, especially in arid and semi-arid regions. Aim of this research is mapping potential of groundwater resources on Yasouj-Sisakht region using data mining ...  Read More

Determining the threshold of the most effective factors on increasing the length of gullies using data-mining algorithms and CART Decision Tree (Case study: Ghazian Watershed in Fars Province)

Seyed Masoud Soleimanpour; Bahram Hedayati; Majid Soufi; Mohammad Javad Rousta; Samad Shadfar

Volume 72, Issue 2 , September 2019, , Pages 409-426


  One of the important relations in the erosion of gullies is to study the threshold of erosion creation and expansion. In recent decade, creation of new knowledge in determination of relation between variables was led to develop prediction methods in different science and therefore, investigating the ...  Read More

The use of computational intelligence base models in suspended sediment load estimation (Case study: Gillan province)

Maryam Asadi; Ali Fathzadeh

Volume 71, Issue 1 , June 2018, , Pages 45-60


  Understanding of suspended sediment rate is one of the fundamental problems in water projects which water engineers consistently have involved with it. Wrong estimations in sediment transport cause incorrect design and destruction of hydraulic systems. Due to the difficulty of suspended sediment measurements, ...  Read More

Comparison of the Efficiency of Support Vector Regression and K-Nearest Neighbor Methods in suspended sediment load Estimation in river (Case Study: Lighvan Chay River)

ali rezazadeh joudi; Mohammad Taghi Sattari

Volume 70, Issue 2 , August 2017, , Pages 345-358


  Estimation of suspended sediment load or specifying the damages incured as a result of inattention to such estimation is one of the most important and fundamental challenges in river engineering and sediment transport studies. Given the importance and role of sediment in the design and maintenance of ...  Read More

Application of CANFIS Model in Prediction of Soil Cation Exchange Capacity in Some Arid and Semi-Arid Regions of Iran

Fereydoon Sarmadian; Ali Keshavarzi

Volume 69, Issue 2 , July 2016, , Pages 397-410


  Data mining enables generalization of data of soil to remote areas and which is able to up/down scale of data in wide ranges of level that facilitate the decision-making process of executives. Cation Exchange Capacity (CEC) is one of the most important parameters in soil database and shows the ability ...  Read More