Determination chlorine of groundwater with electrical conductivity by Geostatistical methods (Case study of drinking water wells Mashhad)

Document Type: Original Article


Ferdowsi University of Mashhad.


Information on chlorine concentration in groundwater for drinking and agriculture is important. If the
concentration of this element is in too much water can cause problems for humans and is toxic to
plants. Measurement of chloride in groundwater is extensive, costly and time consuming. Find easy
and inexpensive method has a special importance. the Statistical methods are based on spatial
variables. Changes of these variables point to the other have a certain continuity. This study for
evaluation the ability of geostatistical methods for estimating chlorine using auxiliary variables
Electrical Conductivity in groundwater of Mashhad and the surrounding was conducted . For this
purpose, 276 wells were sampled and Parameters were measured electrical conductivity and chlorine.
The data with software GS+ were analyzed. To determine the spatial correlation of data, Variograms
were calculated and plotted.The results showed good continuity exists between the measured
parameters. The correlation between two variables based on the variogram, 0 .91 Was calculated.
Spherical model for Electrical Conductivity and Gaussian model for chlorine based on the minimum
amount of RSS as the most suitable model was fitted to the data. For Comparison of methods
estimation of the root mean square error (RMSE) and plot of observational and estimated values were
used. Geostatistical methods, the chlorine more accurately than IDW and NDW methods were


ـ امینی، م و همکاران. 1381. مقایسه ی کریجینگ و کوکریجینگ در برآورد غلظت کلر محلول در خاک. مجله علوم و کشاورزی ایران.
 ( 23)4: 748-741

ـ ثقفیان، ب و همکاران. 1390. راهنمای روش‌های توزیع مکانی عوامل اقلیمی با استفاده از داده‌های نقطه ای. نشریه فنی معاونت راهبردی ریاست جمهوری.

ـ حسنی پاک، ع. 1377. زمین آمار (ژئواستاتیستیک).  انتشارات دانشگاه تهران.

ـ رضا زاده،  ف .1389.  بررسی آلودگی آب‌های زیر زمینی دشت مشهد به منظور ارزیابی شاخص‌های آب شرب با استقاده  از سیستم اطلاعات جغرافیایی. نخستین کنفرانس ملی پژوهش‌های کاربردی منابع آب ایران. کرمانشاه.

ـ  زهتابیان، غ. جان فزا،  ع. عسگری، ح و نعمت الهی، م. 1389. مدل‌سازی توزیع مکانی برخی از خصوصیات شیمیایی آب‌های زیرزمینی گرمسار. فصلنامة علمی پژوهشی تحقیقات مرتع و بیابان ایران. 1 (17) :61 -73

 ـ علیزاده‏، ا. 1385. طراحی سیستم‌های آبیاری سطحی. انتشارات دانشگاه امام رضا.

ـ کرامتی، ح. 1386. بررسی کیفیت فیزیکی و شیمیایی آب شرب شهر گناباد در فصول بهار و تابستان. مجله افق دانش دانشکده علوم پزشکی گناباد. (13)3

_  ولایتی، س. 1378. عوامل موثر بر تغییرات کیفی آبخوان نیشابور، فصلنامه تحقیقات جغرافیایی 149 :119- 139

 – Ahmed, S. 2002. Groundwater monitoring network design: Application of geostatistics with a few case studies from a granitic aquifer in a semi-arid region. in: Groundwater Hydrology. Tokyo, Japan. 2: 37-57.

- Barcae, E and G, Passarella. 2008. Spatial evaluation of the risk of groundwater quality degradation: A comparison between disjunctive kriging and geostatistical simulation. Journal of Environmental Monitoring and Assessment.133: 261-273.

– Dagostino, V., Greene, E., Passarella, G and Vurro, M. 1998. spatial study of nitrate concentration in groundwater by means of coregionalization. Environmental geology. 36: 285- 295.

- Gaus, I., Kinniburgh, D.G., Talbot,  J.C  and Webster, R . 2003. Geostatistical analysis of arsenic concentration in groundwater in Bangladesh using disjunctive kriging. Environmental Geology 44: 939-948.

- Jager, N. 1990.  Hydrogeology and groundwater simulation. Lewis Publishers.

- Kresic, N. 1997.  Hydrogeology and Groundwater Modeling. Lewis  Publishers.

- Negreiros, J., Painho, M., Aguilar, F. and Aguilar, M . 2010. Geographical information systems principles of ordinary kriging interpolator. Journal of Applied Sciences. 10: 852-867 .

- Zhang, R., Shouse, P and Yates, S. (1997). Use of  Pseudo- Cross Variogram and Cokriging to improve estimates of soil solute concentration. Soil Sci.Soc. Am. J.61:1342-1347.