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Using combined AHP–genetic algorithm in artificial groundwater recharge site selection of Gareh Bygone Plain, Iran

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Abstract

Flood spreading is one of the suitable strategies to control and benefit from floods which in turn improve the groundwater recharge, makes soil more fertile, and increases nutrients in soil. It is also a method for reusing sediment, which is usually wasted. Thus, selection of suitable areas for flood spreading and directing the flood water into permeable formations are amongst the most effective strategies in flood spreading projects. Having combined analytic hierarchy process (AHP) of multi-criteria decision analysis and genetic algorithm (GA) of artificial intelligence approaches, this paper addresses the problem of finding the most suitable area location for flood spreading operation in the Gareh Bygone Plain of Iran. To this end, the nine effective geodata layers including slope, alluvium thickness, geology, morphology, electrical conductivity, land use, drainage density, aquifer transmissivity, and elevation were prepared in geographic information system environment. This stage was followed by elimination of the exclusionary areas for flood spreading while determining the potentially suitable ones. Having closely examined the potentially suitable areas using the proposed methodology, the land suitability map for flood spreading was produced. The AHP and GA were used for ranking all the alternatives and weighting the criteria involved, respectively. The results of the study showed that most suitable areas for the artificial groundwater recharge are located in Quaternary Qft 2 and Qsf geologic units and in morphological units of pediment and Alluvial fans with slopes not exceeding 2 %. Finally, further evidence for the acceptable efficiency of the integrated AHP–GA method in locating most suitable flood spreading areas have been provided by such significant spatial coincidence between the produced map and the control areas located near Kowsar research station, where the earlier flood spreading projects were successfully performed.

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References

  • Al-Assa’d TA, Abdulla FA (2010) Artificial groundwater recharge to a semi-arid basin: case study of Mujib aquifer, Jordan. Environ Earth Sci 60(4):845–859

    Article  Google Scholar 

  • Alesheikh AA, Soltani MJ, Nouri N, Khalilzadeh M (2008) Land assessment for flood spreading site selection using geospatial information system. Int J Environ Sci Technol 5(4):455–462

    Article  Google Scholar 

  • Chen GL (1996) Genetic algorithm and its application. Peoples Post Publishing House, China

    Google Scholar 

  • Chowdhury A, Jha MK, Chowdary VM (2010) Delineation of groundwater recharge zones and identification of artificial recharge sites in West Medinipur district, West Bengal, using RS and GIS and MCDM techniques. Environ Earth Sci 59(6):1209–1222

    Article  Google Scholar 

  • De Laat PJM, Nonner JC (2012) Artificial recharge with surface water; a pilot project in Wadi Madoneh, Jordan. Environ Earth Sci 65(4):1251–1263

    Article  Google Scholar 

  • Foltz RC (2002) Iran’s water crisis: cultural, political, and ethical dimensions. J Agric Environ Ethics 15(4):357–380

    Article  Google Scholar 

  • Ghayoumian J, Shoaei Z, Karimnejad HR, Ghermezcheshmeh B, Abdi P (2002) Some examples of artificial recharge of aquifers by flood spreading in Iran. In: Van Rooy JL, Jermy CA (eds) Proceedings of the 9th congress of the international association for the engineering geology and the environment, Balkema, Rotterdam, pp 1529–1537

  • Ghayoumian J, Ghermezcheshmeh B, Feiznia S, Noroozi AA (2005) Integrating GIS and DSS for identification of suitable areas for artificial recharge, case study Meimeh Basin, Isfahan, Iran. Environ Geol 47(4):493–500

    Article  Google Scholar 

  • Ghayoumian J, Mohseni Saravi M, Feiznia S, Nouri B, Malekian A (2007) Application of GIS techniques to determine areas most suitable for artificial groundwater recharge in a coastal aquifer in southern Iran. J Asian Earth Sci 30:364–374

    Article  Google Scholar 

  • Han Z (2003) Groundwater resources protection and aquifer recovery in China. Environ Geol 44(1):106–111

    Google Scholar 

  • Haupt RL (2004) Selecting genetic algorithm operators for CEM problems. 20th annual review of progress in applied computational electromagnetics. Syracuse, NY

  • Haupt RL, Haupt SE (2004) Practical genetic algorithms, 2nd edn. John Wiley & Sons press, New Jersey

    Google Scholar 

  • Hayati D, Karami E, Slee B (2006) Combining qualitative and quantitative methods in the measurement of rural poverty: the case of Iran. Soc Indic Res 75:361–394

    Article  Google Scholar 

  • Jamali IA, Olofsson B, Mortberg U (2013) Locating suitable sites for the construction of subsurface dams using GIS. Environ Earth Sci 70(6):2511–2525

    Article  Google Scholar 

  • Kheirkhah Zarkesh M (2005) Decision support system for floodwater spreading site selection in Iran. Ph.D. thesis, International Institute for Geo-information Science and Earth Observation, Enscheda, The Netherlands, p 259

  • Krishnamurthy J, Srinivas G (1995) Role of geological and geomorphological factors in ground water exploration: a study using IRS LISS data. Int J Remote Sens 16(14):2595–2618

    Article  Google Scholar 

  • Krishnamurthy J, Kkumar NV, Jayaraman V, Manivel M (1996) An approach to demarcate ground water potential zones through remote sensing and geographic information system. Int J Remote Sens 17(10):1867–1884

    Article  Google Scholar 

  • Mohammadnia M, Kowsar A (2003) Clay translocation in artificial recharge of a groundwater system in the southern Zagros Mountain, Iran. Mt Res Dev 23(1):50–55

    Article  Google Scholar 

  • Nasiri H, Darvishi Boloorani A, Faraji Sabokbar HA, Jafari HR, Hamzeh M, Rafi Y (2013) Determining the most suitable areas for artificial groundwater recharge via an integrated PROMETHEE II-AHP method in GIS environment (case study: Garabaygan Basin, Iran). Environ Monit Assess 185:707–718

    Article  Google Scholar 

  • O’Hare MP, Fairchild DM, Hajali PA (1986) Artificial recharge of groundwater. Lewis, New York, p 419

    Google Scholar 

  • Oakford ET (1985) Artificial recharge: methods, hydraulics, and monitoring. In: Asano T (ed) Artificial recharge of groundwater. Butterworth, Boston, p 767

    Google Scholar 

  • Saaty TL, Vargas GL (2001) Models, methods, concepts, and applications of the analytic hierarchy process. Kluwer Academic Publisher, Boston

    Book  Google Scholar 

  • Saraf AK, Choudhury PR (1998) Integrated remote sensing and GIS for groundwater exploration and identification of artificial recharge sites. Int J Remote Sens 19(10):2595–2616

    Article  Google Scholar 

  • Sargaonkar AP, Rathi B, Baile A (2011) Identifying potential sites for artificial groundwater recharge in sub-watershed of River Kanhan, India. Environ Earth Sci 62(5):1099–1108

    Article  Google Scholar 

  • Sivanandam SN, Deepa SN (2007) Introduction to genetic algorithms. Springer, Berlin

    Google Scholar 

  • ASCE Standard (2001) Environmental and Water Resources Institute, American Society of Civil Engineers. Standard guidelines for artificial recharge of groundwater, ASCE standards, EWRI/ASCE 34-01, p 106

  • Tilley E, Luethi C, Morel A, Zurbruegg C, Schertenleib R (2008) Compendium of sanitation systems and technologies. Swiss Federal Institute of Aquatic Science and Technology (EAWAG), Duebendorf, Geneva

  • Wu Q, Shan J (2000) The application of genetic algorithm in GIS network analysis. International archives of photogrammetry and remote sensing, vol. XXXIII, Part B4. Amsterdam, pp 1184–1191

  • Wu Q, Rao SV, Barhen J, Sitharama Iyengar S, Vaishnavi VK, Qi H, Chakrabarty K (2004) On computing mobile agent routes for data fusion in distributed sensor networks. IEEE Trans Knowl Data Eng 16(6):740–753

    Article  Google Scholar 

  • Yeh EC, Sumic Z, Venkata SS (1995) APR: a geographic information system based primary router for underground residential distribution design. IEEE Trans Power Syst 10(1):400–406

    Article  Google Scholar 

  • Zehtabian GR, Alavipanah SK, Hamedpanah R (2001) Determination of an appropriate area for flood water spreading by remote sensing data and GIS. In: Proceedings of the international conference on new technology for a new century. Seoul, Korea, pp 1–6

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Correspondence to Rahim Ali Abbaspour.

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Rahimi, S., Shadman Roodposhti, M. & Ali Abbaspour, R. Using combined AHP–genetic algorithm in artificial groundwater recharge site selection of Gareh Bygone Plain, Iran. Environ Earth Sci 72, 1979–1992 (2014). https://doi.org/10.1007/s12665-014-3109-9

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  • DOI: https://doi.org/10.1007/s12665-014-3109-9

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