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Modeling Earth Systems and Environment

, Volume 3, Issue 4, pp 1441–1448 | Cite as

Evaluation of spatial interpolation methods for some groundwater qualitative parameters of Najafabad Plain, Isfahan

  • Zohreh Khorsandi Kouhanestani
  • Somayeh Dehdari
  • Fateme Taatpour
Original Article

Abstract

Groundwater is the main water source in arid and semi-arid regions. Monitoring water quality and quantity is essential as the groundwater is the most important drinkable and agricultural water source in Iran. Traditional groundwater evaluation methods are expensive and time consuming. Newly developed spatial interpolation method is an accurate and non-expensive method which needs fewer samples comparing to tradition methods. The main goal of this study is to choose the best spatial interpolation methods from geostatistical and deterministic interpolation for zoning (locating) of some water quality parameters in Najafabad plain. Several Spatial methods such as… were applied to study TDS, SAR, pH, cl and hco3. The accuracy and efficiency of studied methods were evaluated applying RMSE and MBE. Results showed that simple kiriging is suitable for zoning cl, hco3, TDS and Ec, IDW is more suitable for pH and ordinary kiriging is best method for zoning SAR. Finally the best spatial interpolation method was applied to develop quality parameter zoning maps.

Keywords

Geostatistical Groundwater Najafabad Plain Quality 

References

  1. Alizadeh A (2006) Principal of applied hydrology, 9th edn. Cultural Foundation of Astan Quds Razavi press, Mashhad, pp 800Google Scholar
  2. Balandeh N, Ahmadi A (2013) Zoning of the groundwater-level and salinity using geostatistic. Int J Agric Res Rev 3(1):109–112Google Scholar
  3. Delbari M, Afrasiab P, Miremadi SR (2011) Spatio-temporal variability analysis of groundwater salinity and depth (case study: Mazandaran Province). Iran J Irrig Drain 4(3):330–337Google Scholar
  4. Ghahari GR, Pakrou M (2007) Effect of floodwater spreading and consumption on groundwater resources in Gareh Bygone Plain. Range Desert Res 14(3):368–390Google Scholar
  5. Gorai AK, Kumer S (2013) Spatial distribution analysis of groundwater quality index using GIS: a case study of ranchi municipal corporation (RMC) area. Geoinfor Geostat Overv 1:2. doi: 10.4172/2327-4581.1000105 Google Scholar
  6. Hassani Pak AA (2007). Geostatistic, 5th edn. Tehran University Press, Tehran, p 328Google Scholar
  7. Izadi A, Dalghandi M, Hooshmand A, Ferasati M (2011) Spatial estimation of sodium adsorption ratio (SAR) and chlorine on bookan groundwater using geostatistical methods. Aggreg Sci Eng J 34(2):11–19Google Scholar
  8. Jafari R, Bakhshandeh ML (2013) Investigation of spatial variation of salinity and alkani of esfahan provience groundwater using geostatistical methods. Water Soil Sci J 68(18):183–194Google Scholar
  9. Jahan Shahi A, Moghadam A, Dehvari AH (2014) Investigating groundwater quality parameters using gis and geostatistics (case study: Shahr-Babak Plain Aquifer). Q Water Soil Sci (Agric Sci) 24(2):183–197Google Scholar
  10. Kardan Moghdam H, Khasheei Sivaki A (2014). Zoning in water sciences using geostatistics. Astan Quds Razavi Press, Mashhad, p 122Google Scholar
  11. Khanamani A, Dodangeh E, Soleymani F, Karimzadeh H, Soltani S (2014). Changes trend of some chemical characteristics of groundwater in Segzi Plain from 1995 to 2008. JWSS 18(67):59–68Google Scholar
  12. Nasiri A, Alipour H (2014) Estimation of spatial distribution of groundwater quality parameters using geostatistical methods a case study (Isfahan Iran). Int J Eng Technol Sci 2(2):152–173Google Scholar
  13. Sahoo S, Kumar J (2014) Analysis of spatial variation of groundwater depths using geostatistical modeling. Int J Appl Eng Res 9(3):317–322Google Scholar
  14. Shabani M (2011) Evaluation of geostatistical methods in groundwater quality maps preparation and their mapping case study: Neyriz Plain, Fars Province. Q J Phys Geogr 4(13):83–96Google Scholar
  15. Zehtabian G, Azareh A, Nazarisamani A, Rafei J (2013) Determining the most suitable geo-statistical method to develop zoning map of parameters EC, TDS And TH groundwater (case study: Garmsar Plain, Iran). Int J Agron Plant Prod 4(8):1855–1862Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Zohreh Khorsandi Kouhanestani
    • 1
  • Somayeh Dehdari
    • 1
  • Fateme Taatpour
    • 1
  1. 1.Department of Range and Watershed Management Engineering, College of Natural ResourcesBehbahan Khatam Alanbia University of TechnologyBehbahanIran

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