Skip to main content

Advertisement

SpringerLink
Log in

Use of fractal dimensions analysis in geographic information system and remote-sensing techniques to identify groundwater prospective zones in the Anar-Dashtegol anticline, Iran

  • Original Article
  • Published:
Carbonates and Evaporites Aims and scope Submit manuscript

Abstract

The main goal of this study was to identify areas prone to groundwater exploration in the Anar-Dashtegol anticline, southwest of Iran. The fractal geometry was used to determine the linearity density in the areas. In the first step, the groundwater conditioning factors, such as distance from faults and fractures, faults and fractures density, distance from springs, spring discharge, relief, and slopes were prepared. Lineament density map was spatially prepared using fractal geometry, box-counting method. Thematic map of each parameter was prepared using geographic information system (GIS) and remote sensing data. Measuring the rate and weight of the maps was performed using the crisp method on a scale from 0 to 9 and analytical hierarchical process (AHP), respectively. The final output map showed different zones of groundwater prospective potential, which was divided into four orders: very low, low, moderate, and high. Results indicate that precipitation, faults, and relief are the most affecting factors on karst water potential at the Anar-Dashtegol anticline, and that areas with high potential are located in northern plunge. Karstic wells present in the study area have confirmed that zones with high groundwater potential identified from the study developed here are characterized by a high yield.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Abdalla F (2012) Mapping of groundwater prospective zones using remote sensing and GIS techniques: a case study from the Central Eastern Desert, Egypt. J Afr Earth Sci 70:8–17

    Article  Google Scholar 

  • Adler M, Ziglio E (1996) Gazing into the oracle: the Delphi method and its application to social policy and public health. Jessica Kingsley Publishers, London

    Google Scholar 

  • Arulbalaji P, Padmalal D, Sreelash K (2019) GIS and AHP techniques based delineation of groundwater potential zones: a case study from Southern Western Ghats, India. Sci Rep 9:2082

    Article  Google Scholar 

  • Asmari Consulting Engineers (2011) General collecting statistics of surface and groundwater resources at Zohre study area. Codian-Sargah study area (code: 2423)

  • Balachandar D, Alaguraja P, Sundaraj P, Rutharvelmurthy K, Kumaraswamy K (2010) Application of remote sensing and GIS for artificial recharge zone in Sivaganga District, Tamilnadu, India. Int J Geomat Geosci 1(1):84–97

    Google Scholar 

  • Basavaraj H, Nijagunappa R (2011) Identification of groundwater potential zone using geoinformatics in Ghataprabha basin, North Karnataka, India. Int J Geomat Geosci 2(1):91–109

    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, GIS and MCDM techniques. Environ Earth Sci 59:1209. https://doi.org/10.1007/s12665-009-0110-9

    Article  Google Scholar 

  • Dannenber R (2002) Fractal dimension analysis of hollow-cone darkfield images. HarFA-Harmonic and Fractal Image Analysis 11–18

  • Dar IA, Sankar K, Mithas A (2010) Remote sensing technology and geographic information system modeling: an integrated approach towards the mapping of groundwater potential zones in Hardrock terrain, Mamundiyar basin. J Hydrol 394:285–295

    Article  Google Scholar 

  • Darvishzadeh A (1991) Geology of Iran. Neda Publication, Tehran (in Persian)

    Google Scholar 

  • Dashti Barmaki M, Rezaei M, Ashjari J (2016) Recognition of karst hydrology and water resources interaction in Kazerun Karstic Zones, South of Iran. Arab J Geosci 9:54. https://doi.org/10.1007/s12517-015-2092-0

    Article  Google Scholar 

  • Ekmekci M, Tezcan L (2011) Management of karst aquifers under climate change: implications for sustainable use. In: Baba A et al. (eds.) Climate change and its effects on water resources. NATO Science for Peace and Security Series C: Environmental Security 3

  • Evers HJ (1977) Geological map 1/250000 from the Behbehan-Gachsaran. Sheet no 20511. Oil Service Company of Iran

  • Ford D, Williams P (2007) Karst hydrogeology and geomorphology. Wiley, New York

    Book  Google Scholar 

  • FRWA (2010) Ministry of energy. Iranian water resource manegment. Fars regional water authority. https://www.frrw.ir

  • Jaya V, Raghukanth STG, Sonika Mohan S (2013) Estimating fractal dimension of lineaments using box counting method for the Indian landmass. Geocarto Int. https://doi.org/10.1080/10106049.2013.768298

    Article  Google Scholar 

  • Johnson KS (1981) Dissolution of salt on the east flank of the Permian Basin in the southwestern USA. J Hydrol 54:75–93

    Article  Google Scholar 

  • Johnson KS (1997) Evaporite karst in the United States. Carbonates Evaporites 12(1):2–14

    Article  Google Scholar 

  • Johnson KS (2003) Evaporite-karst problems in the United States. In: Johnson KS, Neal JT (eds) Evaporite karst and engineering/environmental problems in the United States. Okla Geol Surv Circ, vol 109, pp 1–20

  • Kaliraj S, Chandrasekar N, Magesh NS (2014) Identification of potential groundwater recharge zones in Vaigai upper basin, Tamil Nadu, using GIS-based analytical hierarchical process (AHP) technique. Arab J Geosci 7:1385–1401

    Article  Google Scholar 

  • Khodaei K (2000) The role of the groundwater indicators in identifying karstic water sources Urmia sample basin by using GIS. MS Thesis, School of Earth Sciences Shahid Beheshti University, Tehran, (in Persian)

  • Kriegler FJ, Malila WA, Nalepka RF, Richardson W (1969) Preprocessing transformations and their effects on multi-spectral recognition. In: Proceedings of the sixth international symposium on remote sensing of environment, University of Michigan, Ann Arbor, MI, USA, pp 97–131

  • Kumar B, Kumar U (2010) Integrated approach using RS and GIS techniques for mapping of ground water prospects in Lower Sanjai Watershed, Jharkhand. Int J Geomat Geosci 1(3):587–598

    Google Scholar 

  • LANDSAT 8 Satellite details 2013-008A NORAD 39084”. N2YO. 2015. Retrieved 25 January 2015

  • Lattman LH, Parizek RR (1964a) Relationship between fracture traces and the occurrence of ground water in carbonate rocks. J Hydrol 2(2):73–91

    Article  Google Scholar 

  • Lattman LH, Parizek RR (1964b) Relationship fracture zones to occurrence of ground water. Geological Society of America Special Paper. Geological Society of America, Boulder

    Google Scholar 

  • Macleod JH (1972) Geological map 1/100000 from the-Kazerun. Sheet no 20846. Oil Service Company of Iran

  • Madrucci V, Taioli F, César C (2008) Groundwater favorability map using GIS multicriteria data analysis on crystalline terrain, São Paulo State, Brazil. J Hydrol 357:153–173

    Article  Google Scholar 

  • Magesh NS, Chandrasekar N, Soundranayagam JP (2012) Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geosci Front 3(2):189–196

    Article  Google Scholar 

  • Magowe M, Carr JR (1999) Relationship between lineaments and ground water occurrence in western Botswana. Ground Water 37(2):282–286

    Article  Google Scholar 

  • Malik MI, Bhat MS, Najar SA (2016) Remote Sensing and GIS based groundwater potential mapping for sustainable water resource management of Lidder catchment in Kashmir Valley, India. J Geol Soc India 87:716. https://doi.org/10.1007/s12594-016-0444-3

    Article  Google Scholar 

  • McQuilan H (1975) Geological map 1/250000 from the Karg-Ganaveh-Kazerun. Sheet no 20512. Oil Service Company of Iran

  • Meijerink AMJ (2007) Remote sensing application to ground water. United Nations Educational, Scientific and Cultural Organization, Paris

    Google Scholar 

  • Mohammadi-Behzad HR, Charchi A, Kalantari N, Mehrabi Nejad A, Karimi Vardanjani H (2018) Delineation of groundwater potential zones using remote sensing (RS), geographical information system (GIS) and analytic hierarchy process (AHP) techniques: a case study in the Leylia-Keynow watershed, southwest of Iran. Carbonates Evaporites. https://doi.org/10.1007/s13146-018-0420-7

    Article  Google Scholar 

  • Prasad RK, Mondal NC, Banerjee P, Nandakumar MV, Singh VS (2007) Deciphering potential groundwater zone in hard rock through the application of GIS. Environ Geol 55:467–475

    Article  Google Scholar 

  • Raeisi E (2002) “Carbonate karst caves in Iran”. Evolution of karst: From prekarst to Cessation 339-344, Ljubljana-Postojna

  • Ram A, Roy P (2005) Fractal dimensions of blocks using a box-counting technique for the 2001 Bhuj earthquake, Gujarat, India. Pure appl geophys. 162:531–548. https://doi.org/10.1007/s00024-004-2620-4

    Article  Google Scholar 

  • Rouse JW, Haas RH, Schell JA, Deering DW (1974) Monitoring vegetation systems in the Great Plains with ERTS. In: Proceedings of third ERTS symposium, Greenbelt, MD, December; NASA SP-351-1. pp 309–317

  • Roy A, Perfect E, Dunne WM, McKay LD (2007) Fractal characterization of fracture networks: an improved box-counting technique. J Geophys Res 112:B12201. https://doi.org/10.1029/2006JB004582

    Article  Google Scholar 

  • Saadat H, Mohammadi Z (2016) Hydrogeological characterization of the Asmari limestone aquifer, Anar anticline, Zagros Region, Iran. Carbonates Evaporites 33(1):29–41. https://doi.org/10.1007/s13146-016-0317-2

    Article  Google Scholar 

  • Saaty L, Kirti Peniwati (2008) Group decision making: drawing out and reconciling differences. RWS Publications, Pittsburgh. ISBN 978-1-888603-08-8

    Google Scholar 

  • Sepehr M, Cosgrove J (2005) Role of the Kazerun fault zone in the formation and deformation of the Zagros Fold-Thrust Belt, Iran. Tectonics 24(5):419–436

    Article  Google Scholar 

  • Shafiei KH, Pirasteh S, Zahermand S (2010) The study of the effect of structural elements on the Karst water resource abundance in the Dehdasht area using GIS. In: 6th international symposium on advances in science and technology, SASTech. Malaysia, Kuala Lampur, 24–25 March

  • Shekhar S, Pandey AC (2015) Delineation of groundwater potential zone in hard rock terrain of India using remote sensing, geographical information system (GIS) and analytic hierarchy process (AHP) techniques. Geocarto International 30(4):402–421. https://doi.org/10.1080/10106049.2014.894584

    Article  Google Scholar 

  • Sultan M, Fiske M, Stein T, Gamal M, Abd-Elhady Y, El-Araby H, El-Araby T, Madani A, Mehanee S, Bercker R (1999) Satellite-based monitoring of urbanization in the Nile delta, Egypt. Ambio 28(7):628–631. https://doi.org/10.2307/4314969

    Article  Google Scholar 

  • Tiwari AK, Lavy M, Amanzio G, De Maio M, Singh PK, Mahato MK (2017) Identification of artificial groundwater recharging zone using a GIS-based fuzzy logic approach: a case study in a coal mine area of the Damodar Valley, India. Appl Water Sci 7(8):4513–4524. https://doi.org/10.1007/s13201-017-0603-8

    Article  Google Scholar 

  • Turcotte D (1997) Fractal and chaos in geology and geophysics, 2nd edn. Cambridge University Press, Cambridge (978-0521567336)

    Book  Google Scholar 

  • Vicsek T (1992) Fractal growth phenomena. World Scientific, Singapore, p 10 (978-981-02-0668-0)

    Book  Google Scholar 

  • Zhang X, Sanderson DJ (1994) Fractal structure and deformation of fractured rock masses. In: Kruhl JH (ed) Fractals and dynamic systems in geoscience. Springer, Frankfurt, pp 37–52

    Chapter  Google Scholar 

  • Zmeškal O, Veselý M, Nežádal M, Buchníček M (2001) Fractal analysis of image structures. HarFA—Harmonic and Fractal Image Analysis 3–5

Download references

Author information

Authors and Affiliations

  1. Faculty of Earth Science, Kharazmi University of Tehran, Tehran, Iran

    M. Dashti Barmaki & S. Madadi

  2. Department of Earth Science, Shiraz University, Shiraz, Iran

    M. Rezaei

Authors
  1. M. Dashti Barmaki
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. Rezaei
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S. Madadi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. Dashti Barmaki.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dashti Barmaki, M., Rezaei, M. & Madadi, S. Use of fractal dimensions analysis in geographic information system and remote-sensing techniques to identify groundwater prospective zones in the Anar-Dashtegol anticline, Iran. Carbonates Evaporites 35, 4 (2020). https://doi.org/10.1007/s13146-019-00535-x

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s13146-019-00535-x

Keywords

Search

Navigation