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)
Zoning of Hydrogeological Drought Severity in Arid Regions and It’s Relaion with Meteorological Drought(case study: Garmsar Plain)

Zahra Noori; Arash Malekian

Volume 76, Issue 2 , August 2023, , Pages 103-114

https://doi.org/10.22059/jrwm.2021.120126.847

Abstract
  Groundwater is important water resource supply, especially in arid and semi- arid regions. Increased utilization of the ground water aquifer leads to significant reduction in the storage of reservoirs. This study evaluates the hydrogeological drought in Garmsar plain using Groundwater Resource Index ...  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

Spatial variability of rainfall erosivity indices using geostatistics in Khouzestan Province

Hossein Eslami; Ali Salajagheh; Shahram Khalighi sigaroudi; hasan Ahmadi; Shamsollah Ayoubi

Volume 67, Issue 3 , December 2014, , Pages 393-406

https://doi.org/10.22059/jrwm.2014.52829

Abstract
  Rainfall erosivity is the ability of rainfall to detach the soil particles. This study was conducted to evaluate spatial variability of rainfall erosivity indices in Khouzestan Province. The point data of indices (EI30, AIm, KE>1 and Onchev indices) in 74 stations were used to generate spatial erosivity ...  Read More

Spatial variation of nitrate concentrations in groundwater by Geostatistics (Case Study: Kurdan Plain)

Kh. Osati; A. Salajegheh; S. Arekhi

Volume 65, Issue 4 , March 2013, , Pages 461-472

https://doi.org/10.22059/jrwm.2012.32045

Abstract
  Spatiality assessment of groundwater pollution is very important to determine water quality condition, pollution sources and management decisions. In this case, GIS and geostatistics methods can be useful tools. Spatiality of groundwater quality parameters, in relation with various land uses, can be ...  Read More