Volume 77 (2024)
Volume 76 (2023)
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)
Prediction of some chemical properties of rangeland soils under exclosure and grazed conditions using adaptive fuzzy-neural inference system in Ghoshchi rangelands of Urmia

mahshid souri; alireza eftekhari; Zhila Ghorbani; nadia kamali

Volume 75, Issue 3 , December 2022, , Pages 471-484

https://doi.org/10.22059/jrwm.2022.342436.1658

Abstract
  Soil is the most important component of rangeland ecosystems and by preserving it and its characteristics, In the present study, the amount of potassium and phosphorus in the soil of Ghoshchi rangelands of Urmia located in West Azerbaijan province from 2019 to 2021 under the influence of grazing and ...  Read More

The Effect of Warm Phase of ENSO Phenomenon on the Formation of Dust Storms in Khuzestan and Sistan and Baluchestan Provinces

Mohammad Ansari Ghojghar; Masoud Pourgholam-Amiji; Shahab Araghinejad; Iman Babaeian; Abdolmajid Liaghat; Ali Salajegheh

Volume 74, Issue 2 , September 2021, , Pages 257-271

https://doi.org/10.22059/jrwm.2020.310647.1533

Abstract
  It is clear that the ENSO phenomenon affects the hydrological and climatic regimes in different parts of the world, but the extent of this effect in different parts of the world has not yet been answered. Therefore, this research has been done to answer this important question. In this research, using ...  Read More

Evaluation of the Combination of ANFIS Model with Metaheuristic Optimization Algorithms in Predicting Dust Storms of Khuzestan Province

Mohammad Ansari Ghojghar; Masoud Pourgholam-Amiji; Shahab Araghinejad; Banafsheh Zahraie; Saman Razavi; Ali Salajegheh

Volume 73, Issue 4 , March 2021, , Pages 691-708

https://doi.org/10.22059/jrwm.2020.311676.1540

Abstract
  Due to the growing development of meta-models and their combination with optimization algorithms for modeling and predicting meteorological variables, in this research four metaheuristic optimization algorithms of Particle Swarm Optimization (PSO), Genetics Algorithms (GA), Ant Colony Optimization for ...  Read More

Predicting the soil fragmentation caused by grazing using adaptive neuro-fuzzy inference system (ANFIS)

Zhila Ghorbani; Kiomars Sefidi; Farshad Keivan Behjou; Mehdi Moameri; Ali Ashraf Soltani Tolarod

Volume 72, Issue 2 , September 2019, , Pages 557-568

https://doi.org/10.22059/jrwm.2019.255862.1250

Abstract
  The most current way for measuring the soil fragmentation is determination of mean weight diameter (MWD). In this study, the adaptive neuro-fuzzy inference system (ANFIS) was used to predict of range soil fragmentation affected by different grazing intensities, distance from village and sampling depth. ...  Read More

Sediment concentration modeling in rill flow using the Adaptive Nero Fuzzy Inference System (ANFIS) in semi arid region

Suma Mohamadpur; Hamed Rouhani; Hojat Ghorbani Vaghei; Seyed Morteza Seyedian; Abulhasan Fath Abadi

Volume 70, Issue 1 , June 2017, , Pages 219-234

https://doi.org/10.22059/jrwm.2017.61979

Abstract
  In many semi-arid regions of Iran, soil erosion has turned into a serious environmental problem affecting land productivity, nutrient loss, water quality, and fresh water ecosystems. Rates of soil loss differ according to erosion type and land degradation processes. Rill erosion is commonly observed ...  Read More

Comparison of Neuro-Fuzzy, Genetic Algorithm, Artificial Neural Network and Multivariate Regression for Prediction of Soil Salinity (Case study: Ardakan City)

Ruollah Taghizadeh Mehrjardi; Fereydoon Sarmadian; Gholem Reza Savaghebi; Mahmoud Omid; Nourayer Toomanian; Mohammad Javad Rousta; Mohammad Hasan Rahimiyan

Volume 66, Issue 2 , July 2013, , Pages 207-222

https://doi.org/10.22059/jrwm.2013.35573

Abstract
  In recent years, alternative methods have been used for estimation of soil salinity. Therefore, at present research, 600 soil samples collected from Ardakan in central Iran. Then EM38 and terrain parameters such as wetness index, land index and curvature as readily measured properties and soil salinity ...  Read More