Iranian Journal of Soil and Water Research

Keywords = Random forest

A Novel Method for Predicting Future Changes in Groundwater Level Using K-means and Random Forest Algorithms with CMIP6 Climate Data in the Eslamabad West Plain

Articles in Press, Accepted Manuscript, Available Online from 12 May 2025

10.22059/ijswr.2025.392467.669910

Kobra Soltani; Seyed Ehsan Fatemi; Jafar Masoompour Samakosh; Maryam Hafezparast Mavadat

Application of machine learning algorithms in groundwater level prediction in the Ardabil aquifer

Volume 56, Issue 4, July 2025, Pages 1041-1057

10.22059/ijswr.2025.387848.669863

Seyed Mahdi Hoseini; Morteza khoshsimaie chenar

Evaluation of Random Forest model to calculate potential Evapotranspiration using limited meteorological data (study area: Ardabil Plain)

Volume 56, Issue 2, April 2025, Pages 545-569

10.22059/ijswr.2024.384545.669825

javanshir azizi mobaser; ali rasoulzadeh; Amin Akbari Majd

The combination of dimensionality reduction methods and machine learning algorithms in the optimization of Maroon River water quality prediction

Volume 55, Issue 9, November 2024, Pages 1601-1615

10.22059/ijswr.2024.376275.669708

Fereshteh Sayahi; Laleh Divband Hafshejani; Parvaneh Tishehzan; Hamid Abdolabadi

Wet aggregate stability modeling based on random forest optimized with genetic algorithm

Volume 55, Issue 7, September 2024, Pages 1095-1111

10.22059/ijswr.2024.376443.669712

Sanaz Monavvar Sabegh; Davoud Zarehaghi; Saeed Samadianfard; Hossein Rezaei

Digital mapping of soil properties (Calcium Carbonate and soil clay percentage) using landsat 8 and Prisma satellite images by the random forest algorithm

Volume 55, Issue 3, June 2024, Pages 381-399

10.22059/ijswr.2024.363941.669558

sajjad teimouri bardyani; Fereydoon Sarmadian

Evaluation of effective parameters for predicting the potassium grade of saline water by using support vector machine and random forest algorithms (case study: playa of Khoor and Biabank area city, Isfahan province)

Volume 55, Issue 1, April 2024, Pages 145-161

10.22059/ijswr.2023.368909.669610

Maryam Iraji; Seyed Alireza Movahedi naeini; Chooghi Bayram Komaki; Soheila Ebrahimi; Bamshad Yaghmaei

Hine learning approaches in downstream lands of Azad dam (case study: Kurdistan province)

Volume 54, Issue 11, January 2024, Pages 1697-1714

10.22059/ijswr.2023.361410.669526

Maryam Osat; Shahrokh Fatehi; Zaynab Zeynoldini

Evaluation of three data mining methods to estimate reference evapotranspiration in Zanjan province

Volume 53, Issue 12, February 2023, Pages 2739-2757

10.22059/ijswr.2023.352890.669419

Azadeh Sedaghat; Niazali Ebrahimipak; Arash Tafteh; Seyed Narges Hosseini

Digital mapping of soil texture components in part of Khuzestan plain lands using machine learning models

Volume 53, Issue 10, January 2023, Pages 2261-2276

10.22059/ijswr.2022.348442.669360

Nasim Sahraei; Ahmad Landi; Saeid Hojati

Digital Mapping of Top-soil Thickness and Associated Uncertainty Using Machine Learning Approach in Some Part of Arid and Semi-arid Lands of Qazvin Plain

Volume 53, Issue 3, June 2022, Pages 585-602

10.22059/ijswr.2022.338007.669195

Asghar Rahmani; Fereydoon Sarmadian; Hossein Arefi

Investigation of Land Use Changes in Karkheh Watershed during 1990 and 2020 Using Google Earth Engine Platform and Landsat Satellite Images

Volume 52, Issue 10, January 2022, Pages 2569-2580

10.22059/ijswr.2021.330075.669068

Ali Sadian; Hossein Shafizadeh-Moghadam

Evaluation of Different Supervised Learning Smart Methods and Response Surface Method to Optimize Factors Affecting Erosion (Case Study: Emamzadeh Watershed of Baghmalek)

Volume 51, Issue 7, September 2020, Pages 1653-1666

10.22059/ijswr.2020.296715.668485

mojtaba shirazi; Ataallah Khademalrasoul; Seyyed Mohammad Safieddin Ardebili

Comparison of Different Data Mining Methods in Predicting Soil Organic Carbon Storage in Some Lands of Behbahan City

Volume 51, Issue 4, July 2020, Pages 1041-1054

10.22059/ijswr.2020.288526.668308

saheb khordehbin; Saeid Hojati; Ahmad Landi; iman Ahmadianfar

The efficiency of nonparametric methods based on residual analizes and parametric method to estimate hydrological model uncertainty

Volume 49, Issue 2, May and June 2018, Pages 281-292

10.22059/ijswr.2017.227009.667627

Abolhasan FathAbadi; Hamed Ruohani; Seyed Morteza Seyedian

Iranian Journal of Soil and Water Research

Journal Archive

Volume 56 (2025)

Volume 55 (2024)

Volume 54 (2023)

Volume 53 (2022)

Volume 52 (2021)

Volume 51 (2020)

Volume 50 (2019)

Volume 49 (2018)

Volume 48 (2017)

Volume 47 (2016)

Volume 46 (2015)

Volume 45 (2014)

Volume 43 (2012)

Volume 42 (2011)

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Volume 40 (2010)

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