Volume 39 (2025)
Volume 38 (2024)
Volume 37 (2023)
Volume 36 (2022)
Volume 35 (2021)
Volume 34 (2020)
Volume 33 (2019)
Volume 32 (2018)
Volume 31 (2017)
Volume 30 (2016)
Volume 29 (2015)
Volume 28 (2014)
Volume 27 (2013)
Volume 26 (2012)
Volume 25 (2011)
Volume 24 (2010)
Volume 23 (2009)
Volume 22 (2008)
Irrigation
Sensitivity and Uncertainty Analysis of SWAT Model in Flow, Sediment and Phosphorus Simulation for a Mountainous Watershed (Case Study of Karaj River Catchment)

Sh. Nourinezhad; M.M. Rajabi; T. Fathi

Volume 36, Issue 2 , May and June 2022, , Pages 167-183

https://doi.org/10.22067/jsw.2022.72912.1100

Abstract
  Introduction Simulation of quantity and quality of surface runoff in mountainous watersheds is one of the most challenging topics in modeling due to its unique features, such as unusual topography and complex hydrological processes. One of the lesser-known aspects of modeling such catchments is ...  Read More

Application of Chaos Theory and Artificial Neural Networks to Evaluate Evaporation from Lake's Water Surface

Saeed Farzin; Reza Hajiabadi; Mohammad Hossein Ahmadi

Volume 31, Issue 1 , March and April 2017, , Pages 61-74

https://doi.org/10.22067/jsw.v31i1.49971

Abstract
  Introduction: Dynamic nature of hydrological phenomena and the limited availability of appropriate mathematical tools caused the most previous studies in this field led to the random and the probabilistic approach. So selection the best model for evaluation of these phenomena is essential and complex. ...  Read More

Performance Evaluation of Linear (ARMA) and Threshold Nonlinear (TAR) Time Series Models in Daily River Flow Modeling (Case Study: Upstream Basin Rivers of Zarrineh Roud Dam)

Farshad Fathian; Ahmad Fakheri-Fard; Yagob Dinpashoh; Seyed Saeid Mousavi Nadoushani

Volume 30, Issue 5 , November and December 2016, , Pages 1440-1460

https://doi.org/10.22067/jsw.v0i0.48161

Abstract
  Introduction: Time series models are generally categorized as a data-driven method or mathematically-based method. These models are known as one of the most important tools in modeling and forecasting of hydrological processes, which are used to design and scientific management of water resources projects. ...  Read More