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)
Evaluation of GOCART Scheme for Simulating PM10

hossein mohammad asgari; shahram khalighi sigarodi; Parviz Irannejad; Hassan Ahmadi; Arash Malekian

Volume 69, Issue 2 , July 2016, , Pages 461-473

https://doi.org/10.22059/jrwm.2016.61696

Abstract
  Aerosol impact on people health, social and economic activities, land and water ecosystems and meteorological parameter. The GOCART scheme was evaluated for simulating PM10 in this study. GOCART was run into WRF model as a host model. Reanalysis data from FNL for every 6 hour was used for initial conditions. ...  Read More

Daily Rainfall Temporal Distribution Patterns and its Relations with Short-Term Precipitations in Coastal – Forest Areas (Case Study: Nowshahr Station, Northern Iran)

Maryam Moradnezhadi; Arash Malekian; Meghdad Jourgholami; Ali Ghasemi

Volume 69, Issue 2 , July 2016, , Pages 475-485

https://doi.org/10.22059/jrwm.2016.61697

Abstract
  24 hour precipitation distribution pattern and its relationship to short-term rainfall is an important issue in hydrology studies such as in flood simulation and in design of hydraulic structures. Accordingly, this study made an attempt to investigate the relationship between daily precipitation and ...  Read More

Impacts of Large-Scale Climate Signals on Seasonal Rainfall in the Maharlu - Bakhtegan Watershed

bahram choubin; SHahram KHalighi Sigaroodi; Arash Malekian

Volume 69, Issue 1 , June 2016, , Pages 51-63

https://doi.org/10.22059/jrwm.2016.61733

Abstract
  Predicting climate trends, especially forecasting rainfall, provides managers of different fields withsuitable tools so that considering these predictions; they can devise future-state policies. At thisstudy, after selecting the most effective climate indices applying PCA method, the effects of largescaleclimate ...  Read More

Groundwater quality study for agricultural purposes by geostatistical analysis (Case study: Hashtgerd Plain, Alborz Province)

Arash Malekian; Mahsa Mirdashtvan

Volume 68, Issue 4 , January 2016, , Pages 809-820

https://doi.org/10.22059/jrwm.2015.56961

Abstract
  Nowadays, with the increasing exploitation of groundwater resources, optimal use of these resources is more and more necessary. geostatistical methods can be used to assess and monitor the quality of groundwater resources. Hashtgerd Plain is the case study of this investigation. In this study firstly, ...  Read More

Trend analysis of streamflow in Karkheh Rivers upstream: An evidence for climate change impacts on water resources systems

Khaled Osati; Ali Salajegheh; Mohammad Mahdavi; Paul Koeniger; Kamran Chapi; Arash Malekian

Volume 68, Issue 3 , October 2015, , Pages 659-674

https://doi.org/10.22059/jrwm.2015.56344

Abstract
  Within the climate change debate and its probable impacts on water resources systems, design and operation of management plans based on the assumption of stationary hydrology may cause serious challenge to accurately predict future supplies. Therefore this case study is trying to assess trend in hydroclimatic ...  Read More

Social Monitoring in Local Stakeholders Network to Water Resources Local Governance (Case Study: Razin Watershed, Kermanshah City)

Fatemeh Salari; Mehdi Ghorbani; Arash Malekian

Volume 68, Issue 2 , September 2015, , Pages 287-305

https://doi.org/10.22059/jrwm.2015.54931

Abstract
  Water resources local governance can is one of the most influential collaborative approach in the water resources management. Social monitoring of local stakeholders plays an important role in planning, resources management and water efficient governance. Therefore to achieve this goal, social network ...  Read More

Selection of the best empirical formula to estimate time of concentration in urban watersheds (Case study: Mahdasht town)

ali shahbazi; Shahram khaliqi sygarodi; Arash Malekian; Ali Salajegheh

Volume 67, Issue 3 , December 2014, , Pages 419-435

https://doi.org/10.22059/jrwm.2014.52835

Abstract
  In order to decrease the risks associated with the management of urban watersheds, the use of proper methods is an essential task to estimate the runoff with a high degree of confidence. Time of concentration is one of factors that impacts on peak discharge and runoff volume. The objective of this study ...  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

Spatial Prioritization of Flood Mitigation and Soil Erosion Control Practices Using Fuzzy Logic Approach )Case Study: Foorg Watershed(

Morteza Dehghani; Hosein Ghasemi; Arash Malekian

Volume 66, Issue 1 , April 2013, , Pages 73-88

https://doi.org/10.22059/jrwm.2013.35330

Abstract
  Nowadays, watershed management practices are undertaken based on selective criteria and/or a specific purpose such as a decrease in flood risk, soil erosion and the like. In this respect,fuzzy logic has the ability to manage a wide range of options for decision making. This researchaimed to use the fuzzy ...  Read More