In collaboration with Iranian Watershed Management Association
Volume 16 (2024-2025)
Volume 15 (2023-2024)
Volume 14 (2022-2023)
Volume 13 (2021-2022)
Volume 12 (2020-2021)
Volume 11 (2019-2020)
Volume 10 (2018-2019)
Volume 9 (2017-2018)
Volume 8 (2016-2017)
Volume 7 (2015-2016)
Volume 6 (2014-2015)
Volume 5 (2013-2014)
Volume 4 (2012-2013)
Volume 3 (2011-2012)
Volume 2 (2010-2011)
Volume 1 (2009-2010)
Investigation the application of saline waters in Segzi Plain with emphasis on the wind erosion control

Atefeh Davari Dolatabadi; Akbar Ghazifard; Kourosh Shirani; Farzad Heidari Morche khorti

Volume 12, Issue 2 , July 2020, , Pages 492-504

https://doi.org/10.22092/ijwmse.2019.122154.1496

Abstract
  East of Isfahan City, especially around Segzi Plain is one of the desert areas of the country that due to the flatness and soils sensitivity to wind erosion, there is high susceptibility to wind erosion. The aim of this study is to evaluate the possibility of using saline water of Segzi Plain and its ...  Read More

Watershed practices effects on quantitative and qualitative changes of groundwater resources in Budjan Dehaghan Basin

Farzad Heidari; Razieh Saboohi

Volume 12, Issue 2 , July 2020, , Pages 535-546

https://doi.org/10.22092/ijwmse.2019.116127.1374

Abstract
  This research was carried out aiming to investigate positive and negative aspects of watershed practices and their effects on quantity and quality of water resources in Budejan River basin. This river is one of the main branches of Shour-Dehaghan River and its area plays an important role in supplying ...  Read More

Classification and identification of marl erodibility indicators in Esfahan Province

Farzad Heidari; Razieh Saboohi

Volume 11, Issue 2 , July 2019, , Pages 440-451

https://doi.org/10.22092/ijwmse.2017.107828.1202

Abstract
  Marl formations have problems in watersheds due to high sediment yield. The purpose of this research is the marls classification of Isfahan province according to erodibility indices and their physical and chemical properties. In this regard, region marl units were identified and their sediment yield ...  Read More

Comparison of artificial neural network and multivariate regression methods in landslide hazard zonation, case study: Vanak Basin, Isfahan province

Kourosh Shirani; Farzad Heydari; Alireza Arabameri

Volume 9, Issue 4 , January 2018, , Pages 451-464

https://doi.org/10.22092/ijwmse.2017.101725.1031

Abstract
  Landslides are major natural hazards which not only cause damages to human life but also provide economic losses on infrastructures. In order to determination of the most important method of estimation  recognizing appropriate method to estimate landslide, in this research, the efficiency of two ...  Read More