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 precipitation applying Wavelet and ANN Model

Parivash Toufani; Ahmad Fakheri fard; Abolfazl Mosaedi; AmirAhmad Dehghani

Volume 68, Issue 3 , October 2015, , Pages 553-571

https://doi.org/10.22059/jrwm.2015.56137

Abstract
  Prediction of Precipitation is very important. Regarding to the non- linear relationships and uncertainty of models, there is no superior and persuasive model among various proposed models to simulate precise precipitation and its amount. Wavelet is one of the novel and very effective methods in time ...  Read More

Investigation on relation between rangelands production with effective climatic parameters and drought indices in Noudushan, Iran

samaneh Mohammadi Moghaddam; Abolfazl Mosaedi; Mohammad Jankju; Mansour Mesdaghi

Volume 68, Issue 1 , June 2015, , Pages 131-148

https://doi.org/10.22059/jrwm.2015.53890

Abstract
    Although precipitation is the most important factor which effects rangeland production, but there is little information on the relationship between production and the interactions of climatic factors and specially drought indices. .In this research, the relation between production and climatic ...  Read More

Modification of Reconnaissance Drought Index (RDI) based on the best method of evapotranspiration estimation and probability distribution function

محمد قبایی سوق; Abolfazl Mosaedi

Volume 66, Issue 4 , March 2014, , Pages 565-582

https://doi.org/10.22059/jrwm.2014.50031

Abstract
  Reconnaissance Drought Index (RDI) is based on fitting a Log-normal distribution to the ratio of precipitation to evapotranspiration (ETo) values in selected periods. In this index value of ETo were calculated based on mean temperature by Thorenth-Waite (Th) method. Th method, may underestimated ETo ...  Read More

Performance of fuzzy logic in stream flow forecasting

M. Nabizadeh; A. Mosaedi; A. A. Dehghani

Volume 65, Issue 4 , March 2013, , Pages 569-580

https://doi.org/10.22059/jrwm.2012.32054

Abstract
  River flow forecasting for a region has a special and important role for optimal allocation of water resources. In this research, for forecasting river flow process, Fuzzy Inference System (FIS) is used. Three parameters including precipitation, temperature and daily discharge are used for forecasting ...  Read More