چکیده:
Our main objective in the present study was to assess the spatial variation of chemical and physical water properties.
Prior to the design of groundwater quality monitoring networks, it is essential to investigate the spatial structure of the
groundwater quality variables. A case study is presented which used ground water quality observations from groundwater
domestic wells in the Dameghan, Iran. The anslyses of the spatial structure used the following variables: Electrical
Conductivity (EC), PH, SAR, TDS, Sodium (Na), Calcium (Ca), Magnesium (Mg). For all these variables the spatial
structure is described by means of geostatistical simulation, used to yield a series of stochastic images characterized by
equally probable spatial distributions of the chemical and physical water properties across the area. The data set including
5 years of annual observations. At first normality and homogeneity of data are examined. Then variographic analysis
using two techniques including kriging, Weighted Moving Average (WMA) were applied for presenting spatial variation
of water properties. Finally comparison of the results using statistical techniques showed that for more groundwater
quality variables (e.g. TDS, EC, Cation, Na, Ca) kriging technique performed better than WMA-2 technique in
characterizing the spatial variability. WMA-2 technique only for some groundwater quality variables like SAR and Mg
has better result than kriging to simulate groundwater quality variables.
خلاصه ماشینی:
ir DESERT 17 (2013) 215-224 Assessment of Spatial Structure of Groundwater Quality Variables Based on the Geostatistical Simulation Gh. R.
Student, Faculty of Natural Resources, University of Tehran, Karaj, Iran Received: 14 July 2007; Received in revised form: 13 December 2008; Accepted: 30 December 2008 Abstract Our main objective in the present study was to assess the spatial variation of chemical and physical water properties.
For all these variables the spatial structure is described by means of geostatistical simulation, used to yield a series of stochastic images characterized by equally probable spatial distributions of the chemical and physical water properties across the area.
Nazarizadeh et al (2005) used geostatistical tools to investigate the spatial structure of groundwater quality variables and stated that the variograms of EC,Cl, So4-2 have spherical structure.
This study has attempted to predict the spatial distribution and uncertainty of groundwater quality variables in the north Eastern of Iran Semnan Province using the geostatistical techniques (kriging and WMA-2).
Therefore in this research geostatistical methods are used that consider spatial structure and changes of groundwater quality variables.
Therefore in this research geostatistical methods are used that consider spatial structure and changes of groundwater quality variables.
This study shows the high capability of geostatistical tools for provision of maps of spatial structure of groundwater quality variables.
(1990) that they also concluded geostatistical tools like kriging have high capability for simulating groundwater quality variables.
Application of geostatistical tools to investigate the spatial structure of groundwater quality variables.