Assessment of Groundwater Quality Spatial Distribution and Appointment Optimize Network of Shahrkord Plain Aquifer Using Geostatistical Methods | ||
| پژوهش های آبخیزداری | ||
| Article 6, Volume 32, Issue 2 - Serial Number 123, July 2019, Pages 60-78 PDF (1.2 M) | ||
| Document Type: Research | ||
| DOI: 10.22092/wmej.2019.123678.1159 | ||
| Authors | ||
| Mehdi Abdollahi Mansourkhani* 1; Hossein Mohammadzade2; Mohammad Amini3; Farahnaz Azizi4 | ||
| 1Master of Hydrogeology, Ferdowsi University, Mashhad, Iran | ||
| 2Associate Professor, Department of Geology, Ferdowsi University, Mashhad, Iran | ||
| 3Professor, Department of statistic, Ferdowsi University, Mashhad, Iran | ||
| 4PhD inHydrogeology | ||
| Abstract | ||
| As the most valuable natural resources, protection and management of groundwater is vital. One of the best ways to protect groundwater resources is monitoring groundwater quality spatial variationsand then managing the water resources exploitations and the land uses. In this research, the spatial distribution of groundwater quality variables and the optimize water well network with acceptable precious in Shahrkord Aquifer is evaluated. According to the cross validation and the values of error evaluation criteria, the universal kriging model with linear trend, the ordinary kriging model with exponential semiovariogram, the Log ordinary kriging model with exponensionalsemiovariogram, the universal kriging model with linear trend with exponential semiovariogram, the log ordinary kriging model with panta spherical semiovariogram and the ordinary kriging model with exponential semiovariogram, has been selected for EC, Ca2+, Cl- and Mg2+, HCO3-, SO42- and Na+ and NO3- respectively. The quality-zoning maps of the Shahrkord Aquifer have been prepared. The results from the zoning quality map indicate that the groundwater quality reduced in central parts of the aquifer. In addition, in this research, to obtain an optimum monitoring well network was applied omittingmethod. Out of 35 observation wells, identified and removed six wells from the network. Using adding well method identified 11 wells as optimal points and added to the network. | ||
| Keywords | ||
| Geostatistic; optimized network; qualityvariables; water resources | ||
| References | ||
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