Skip to main content

Advertisement

Log in

Combining AHP with GIS for assessment of irrigation water quality in Çumra irrigation district (Konya), Central Anatolia, Turkey

  • Original Article
  • Published:
Environmental Earth Sciences Aims and scope Submit manuscript

Abstract

Çumra irrigation district (ÇID) is one of the most important agricultural production regions in Central Anatolia. Surface water in the region is limited and agricultural production substantially relies on groundwater irrigation. In this study, analytic hierarchy process (AHP) is combined with geographical information systems (GIS) to assess the irrigation water quality in the aquifers of ÇID. Nine water quality criteria were classified into four main hazard groups including salinity hazard, infiltration and permeability hazard, specific ion toxicity, and miscellaneous impacts on sensitive crops. A weighting coefficient of each criterion was determined by using GIS-based AHP. Nine thematic maps defining the electrical conductivity (EC), total dissolved solids (TDS), sodium adsorption ratio (SAR), combined EC-SAR, chloride, boron, nitrate–nitrogen (NO3–N), bicarbonate, and pH were generated to develop the suitability map for irrigation water quality. Based on the results of this application, the final irrigation water quality index model was classified into three groups as high, moderate, and low suitability for irrigation purposes. The derived suitability index map for irrigation water quality indicates that the aquifer water in 61.92 % of the study area has high suitability for irrigation water, moderate suitability in 19.20 %, and low suitability in the remaining 18.87 %. The suitability index map for irrigation water quality explicitly shows that most of aquifer waters in ÇID are highly suitable for irrigation purposes while the groundwater quality deteriorates towards the north–northeastern and the eastern directions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  • Abrahao R, Causape J, Garcıa-Garizabal I, Merchan D (2011) Implementing irrigation: Water balances and irrigation quality in the Lerma basin (Spain). Agric Water Manage 102:97–104

    Article  Google Scholar 

  • Aksoy R, Eren Y (2004) The Konya Fault Zone. Selcuk Univ J Eng Faculty 19(2):49–60

    Google Scholar 

  • APHA-AWWA-WPCF (1992) Standard methods for the examination of water and wastewater, 18th edn. APHA-AWWA-WPCF, USA

    Google Scholar 

  • Ayers RS, Westcot DW (1976) Water quality for agriculture. F.A.O. Irrigation and drainage Paper No. 29 F.A.O., Rome

  • Ayers RS, Westcot DW (1985) Water quality for agriculture, FAO Irrigation and drainage Paper No. 29, Rev. 1, U.N. Food and Agriculture Organization, Rome

  • Bauder TA, Waskom RM, Sutherland PL, Davis JG (2011) Irrigation water quality criteria: Colorado State University, Fact Sheet 0.506, 4 p

  • Bayari CS, Ozyurt NN, Kilani S, Arikan A (2005) Radiocarbon Age distribution of groundwater in the Konya Closed Basin (in Turkish). HU-DPT Advanced Research Project Report (02-K-120-290-8), DPT, Ankara

  • Bayarı S, Özyurt N, Kilani S (2009a) Radiocarbon age distribution of grondwater in the Konya Closed Basin, Central Anatolia. Turkey. Hydrogeology J. 17:347–365

    Article  Google Scholar 

  • Bayarı S, Pekkan E, Özyurt N (2009b) Obruks, as giand collapse dolines caused by hypogenic karstification in the central Anatolia, Turkey: analysis of likely formation processes. Hydrogeol J. 17:327–345

    Article  Google Scholar 

  • Bhargava DS (1983) Use of a water quality index for river classification and zoning of Ganga River. Environ Poll Ser B Chem Phys 6:51–67

    Article  Google Scholar 

  • Bhushan N, Rai K (2004) Strategic decision making: applying the analytic hierarchy process. Springer-Verlag, New York, p 172

    Google Scholar 

  • Bolton PW, Currie JC, Tervet DJ, Welsh WT (1978) An index to improve water quality classification. Water Poll. Control 77:271–284

    Google Scholar 

  • Boyacioglu H (2007) Development of a water quality index based on a European classification scheme. Water SA 33(1):101–106

    Google Scholar 

  • Brady NC (2002) The nature and properties of soil, 10th edn. Prentice Hall, New Delhi

    Google Scholar 

  • Brown RM, McClelland NI, Deininger RA, Tozer RG (1970) A water quality index-do we dare? Water Sewage Works 117(10):339–343

    Google Scholar 

  • Cay T, Uyan M (2013) Evaluation of reallocation criteria in land consolidation studies using the analytic hierarchy process (AHP). Land Use Policy 30:541–548

    Article  Google Scholar 

  • CCME (2001) Canadian Water Quality Guidelines for the protection of aquatic life. CCME, Canada

    Google Scholar 

  • Chakraborty S, Banik D (2006) Design of a material handling equipment selection model using analytic hierarchy process. Int J Adv Manuf Technol 28:1237–1245

    Article  Google Scholar 

  • Cude CG (2002) Oregon water quality index: a tool for evaluating water qualit management. J Am Water Resour Assoc 38(1):315–318

    Article  Google Scholar 

  • Davis SN, DeWiest RJ (1966) Hydrogeology. Wiley, NewYork

    Google Scholar 

  • DSI (General Directorate of State Hydraulic Works) (1975) Konya-Çumra-Karapınar Plain Hydrogeological Investigation Report, Ankara, 88 p

  • Eaton FM (1935) Boron in soil and irrigation waters and its effects on plants, with particular references to the San Joaquin Valley of California, US Department of Agriculture Technical Bulletin No. 448, Washington, District of Columbia, 131 p

  • Ewusi A, Obiri-yeboah S, Voigt H, Asabere SB, Bempah CK (2013) Groundwater quality assessment for drinking and irrigation purposes in Obuasi Municipality of Ghana, A Preliminary Study. Res J Environ Earth Sci 5(1):6–17

    Google Scholar 

  • FAO (1989) Water quality for agriculture. Food and Agriculture Organization of the United Nations. FAO, Rome

    Google Scholar 

  • FAO (2003) Unlocking the Water Potential of Agriculture. Food and Agriculture Organization of the United Nations. FAO, Rome

    Google Scholar 

  • Freeze RA, Cherry JA (1979) Groundwater. Printice-Hall, New Jersey

    Google Scholar 

  • Göçmez G, Dıvrak BB, İş G (2008) Investigation of groundwater level change detection in Konya Closed Basin. Summary Report, WWF-Turkey, İstanbul, 18 p

  • Golden BL, Wasil EA, Harker PT (1989) The analytic hierarchy process: applications and studies. Springer-Verlag, Berlin

    Book  Google Scholar 

  • Greaves GE (2011) On water augmentation strategies for small island developing states: case study of Bequia. National Central University, Taiwan

    Google Scholar 

  • Hakyemez HY, Elibol E, Umut M, Bakırhan B, Kara İ, Dağıstan H, Metin T, Erdoğan N (1992) Geology of Konya-Çumra-Akören Area: General Directorate of Mineral Research and Exploration Comp. Report no: 42/24, Ankara (in Turkish)

  • Hem JD (1991) Study and interpretation of the chemical characteristics of natural water: USGS professional paper book 2254. Scientific Publishers, Jodhpur

    Google Scholar 

  • Hill AA (1982) Nitrate distribution in the groundwater of the Alliston region of Ontario, Canada. Ground Water 20:696–702

    Article  Google Scholar 

  • Hoffman GJ, Ayers RS, Doering EJ, McNeal BL, (1981) Salinity in irrigated agriculture. In: Jensen ME (Eds), Design and operation of farm irrigation systems, ASAE Monograph 3

  • Horton RK (1965) An index number system for rating water quality. J Water Pollut Control Fed 37(3):300–306

    Google Scholar 

  • House MA (1989) A water quality index for river management. J Inst Water Environ Manage 3:336–344

    Article  Google Scholar 

  • Hsu CW, Hu AH (2008) Green supply chain management in the electronic industry. Int J Environ Sci Tech 5(2):205–216

    Article  Google Scholar 

  • Hussain HM, Joshi H, Singhal DC, Kumar S, Rao MS (2012) Development of an index of aquifer water quality within GIS environment. Iran J Earth Sci 4:44–50

    Google Scholar 

  • Ketin I (1996) Tectonic units of Anatolia (Asia Minor): General Directorate of Mineral Research and Exploration Comp. Bull 66:23–33

    Google Scholar 

  • Liou S, Lo S, Wang S (2004) A generalized water quality index for Taiwan. Environ Monitor Assess 96:35–52

    Article  Google Scholar 

  • Liu R (2004) Using System dynamics in decision support for sustainable waste management. Dissertation, National University of Singapore, Singapore, 124 p

  • Lloyd JW, Heathcote JA (1985) Natural inorganic hydrochemistry in relation to groundwater. Oxford University Press, New York, p 294

    Google Scholar 

  • Maas EV (1990) Crop Salt Tolerance. In: Tanji KK (Ed), Salinity assessment and management. American Society of Civil Engineers Manuals and Reports on Engineering Practice, No. 71. Am Soc Civil Eng, New York, 262–304

  • Malczewski J (1999) GIS and multicriteria decision analysis. Wiley, USA

    Google Scholar 

  • Miller WW, Joung HM, Mahannah CN, Garrett JR (1986) Identification of water quality differences in Nevada through index application. J Environ Quality 15:265–272

    Article  Google Scholar 

  • Nazik L, Törk K, Özel E, Tuncer K (2004) Impact of karstification on hydrological-hydrogeological development in the Konya Plain. I. Groundwater National Symposium, Proceedings Book, Konya, 95–104

  • Ott WR (1978) Environmental quality indices: theory and practice. Ann Arbor Science Publishers, Michigan

    Google Scholar 

  • Pekkan E (2004) Investigation of the hydrogeochemical processes that affects the formation of obruks as karstic depressions located in the Konya closed basin (in Turkish). MSc Thesis, Institute of Science, Hacettepe University Ankara, Turkey, 82 p

  • Pesce SF, Wunderlin DA (2000) Use of water quality indices to verify the impact of Cordoba City (Argentina) on Suquıa river. Water Res 34(11):2915–2926

    Article  Google Scholar 

  • Prati L, Pavanello R, Pesarin F (1971) Assessment of surface water quality by a single index of pollution. Water Res 5:741–751

    Article  Google Scholar 

  • Qadir M, Oster JD (2004) Crop and irrigation management strategies for saline-sodic soils and waters aimed at environmentally sustainable agriculture. Sci Total Environ 323:1–19

    Article  Google Scholar 

  • Rezaei-Moghaddam K, Karami E (2008) A multiple criteria evaluation of sustainable agricultural development models using AHP. Environ Dev Sustain 10:407–426

    Article  Google Scholar 

  • Rosen MR, Bright J, Carran P, Stewart MK, Reeves R (1999) Estimating rainfall recharge and soil water residence times in Pukekohe, New Zealand, by combining geophysical, chemical, and isotopic methods. Ground Water 37:836–844

    Article  Google Scholar 

  • Rowe, Abdel-Magid IM (1995) Handbook of wastewater reclamation and reuse. CRC Press, Inc, Boca Raton, p 550

    Google Scholar 

  • Saaty TL (1980) The analytic hierarchy process. McGraw-Hill, NewYork

    Google Scholar 

  • Saaty TL, Vargas LG (1994) Decision making with the Analytic Hierarchy Process. RWS Publications, US

    Google Scholar 

  • Saaty T, Vargas L (2001) Methods, concepts and applications of the analytic hierarchy process. Kluwer Academic Publishers, Netherlands

    Book  Google Scholar 

  • Shah T, Deb Roy A (2002) Intensive use of groundwater in India. International Water Management Institute, IWMI-TATA Water Policy Program, Anand, India p.16 (www.iwmi.org/iwmi-tata)

  • Silva L, Williams DD (2001) Buffer area versus whole catchment approaches to studying land-use impact on river water quality. Water Res 35:3462–3472

    Article  Google Scholar 

  • Simsek C, Gunduz O (2007) IWQ index: a GIS-integrated technique to assess irrigation water quality. Environ Monit Assess 128:277–300. doi:10.1007/s10661-006-9312-8

    Article  Google Scholar 

  • Song T, Kim K (2009) Development of a water quality loading index based on water quality modeling. J Environ Manage 90:1534–1543

    Article  Google Scholar 

  • Srdjevic B, Medeiros YDP (2008) Fuzzy AHP assessment of water management plans. Water Resour Manage 22:877–894

    Article  Google Scholar 

  • Todd DK (1980) Groundwater hydrology. Wiley, New York

    Google Scholar 

  • UCCC (University of California Committee of Consultants) (1974) Guidelines for interpretations of water quality for irrigation. Technical Bulletin, University of California Committee of Consultants, California, USA pp. 20–28

  • Wang X (2009) A proposal and application of the integrated benefit assessment model for urban water resources exploitation and utilization. Water Resour Manage 23:1171–1182

    Article  Google Scholar 

  • Yavuz S (2010) Hydrogeological parameters used in determining karstic features of Konya-Karapınar Basin (in Turkish). MSc Thesis, Institute of Natural and Applied science, Çukurova University Adana, Turkey, 84 p

Download references

Acknowledgments

This study was financially supported by Selcuk University Scientific Research Projects (BAP) (Project no. 11401151) (Konya, Turkey).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ayla Bozdağ.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bozdağ, A. Combining AHP with GIS for assessment of irrigation water quality in Çumra irrigation district (Konya), Central Anatolia, Turkey. Environ Earth Sci 73, 8217–8236 (2015). https://doi.org/10.1007/s12665-014-3972-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12665-014-3972-4

Keywords

Navigation