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)
Evaluating the Impacts of Climate fluctuations on wind processes (Case study: Abshirin ecosystem)

Farhad Hasani Dorabad; Naser Mashhadi; AmirReza Keshtkar

Volume 76, Issue 1 , June 2023, , Pages 77-101

https://doi.org/10.22059/jrwm.2023.354591.1693

Abstract
  The desert environment is aeolian, being dominated by the wind. The dynamics of wind erosion are driven by both natural processes, including climate and its fluctuations, and human activity. Separating the climatic and anthropogenic causes of wind erosion can improve the understanding of its driving ...  Read More

Investigating Vulnerability of Urban Areas to Flood Using TOPSIS Method (Case study: Azimiyeh, Karaj)

mina pouresmaeel; ali salajegheh; Arash Malekian; amirreza keshtkar

Volume 74, Issue 1 , June 2021, , Pages 23-36

https://doi.org/10.22059/jrwm.2020.303338.1508

Abstract
  The complexity of the urban environment makes it difficult to consider all the vulnerable components of the urban. Hence, decision-making in urban environments is one of the most important issues in modern management. As a result, the purpose of this study is to investigate the urban vulnerability of ...  Read More

Applying FTOPSIS in Prioritizing Biological Management Scenarios of Watershed Reources (Case study: Dare Nari Sarvestan Watershed, Fars)

Amir Reza Keshtkar; Behnaz Asefjah; Yusef Erfanifard; Ali Afzali

Volume 69, Issue 1 , June 2016, , Pages 211-228

https://doi.org/10.22059/jrwm.2016.61745

Abstract
  The development and implementation of practical natural resources and catchment managementpolicies require a comprehensive knowledge of the system processes (biological, physical, andsocio-economic), their complicated interactions, and how they react to different changes. Thecurrent research assessed ...  Read More

Application of Artificial Neural Networks in Simulating and Forecasting of Meteorological Drought Decile Percentage Index (Case study: Sistan & Balouchestan Province)

Arash Malekian; Mahrou Dehbozorgi; Amir Houshang Ehsani; Amir Reza Keshtkar

Volume 67, Issue 1 , May 2014, , Pages 127-139

https://doi.org/10.22059/jrwm.2014.50834

Abstract
  Consecutive droughts in Sistan and Baloochestan province cause water resources restriction and this isa very significant problem for this region. In this study, in order to forecast the drought cycle in 9climatological stations in the province, we used Artificial Neural Networks. The input data wereaverage ...  Read More