An Evaluation of Groundwater Recharge Potential Using Remote Sensing and the GIS Methods

Document Type : Research Paper

Author

• Rouhollah Adinehvand

Department of Earth Sciences, College of Sciences, Shiraz University, Shiraz

Abstract

Application of remote sensing and geographic information system to the preparation of thematic maps and their integration in the form of zoning maps provide an important tool for assessing the potential of groundwater recharge sites. Thematic maps using effective factors in recharge activities namely the hydrogeological factors such as spring discharge and structural factors such as joint and fractures; lithological factors such as formation type; topography such as slope, slope aspect and topographic wetness index; and climatological factors such as rainfall, temperature, and also land use were applied in preparation of the groundwater recharge potential map. Thematic maps were prepared using remote sensing and by a referring approach and pair-wise and applying an expert view and also by field observations. Every thematic map was weighted and rated with respect to its effect on recharge. Finally, differently weighted maps were rated to prepare groundwater recharge site map. To verify the relative accuracy of groundwater recharge potential map, discharge of springs in the study area was used. The results show that most of the catchment area of the large springs located in the areas of high recharge potential, indicating the relatively high accuracy of the above-mentioned method.

Keywords

• Groundwater recharge potential
• thematic maps
• Remote sensing
• Geographic Information System

20.1001.1.20086377.1398.12.41.4.2

---

References

1)       Alonso, J. A., & Lamata, M. T. 2006. Consistency in the analytic hierarchy process: A new approach. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems 14(04): 445-459.

2)       Andreo, B., Vías, J., Durán, J. J., Jiménez, P., López-Geta, J. A., & Carrasco, F. 2008. Methodology for groundwater recharge assessment in carbonate aquifers: Application to pilot sites in southern Spain. Hydrogeology Journal 16(5): 911-925.

3)       Bhuiyan, C., Singh, R. P., & Flügel, W. A. 2009. Modelling of ground water recharge-potential in the hard-rock Aravalli terrain, India: A GIS approach. Environmental Earth Sciences 59(4): 929.

4)       Chaharmahal and bakhtiari Regional Water Authority. 2015. climatologic and rainfall station data.

5)       Crosby, D. A. 2006. The effect of DEM resolution on the computation of hydrologically significant topographic attributes, M.S. Thesis Arts, Department of Geography, College of Arts and Sciences, University of South Florida.

6)       Crosbie, R. S., Davies, P., Harrington, N., & Lamontagne, S. 2015. Ground trothing groundwater-recharge estimates derived from remotely sensed evapotranspiration: a case in South Australia. Hydrogeology Journal 23(2): 335-350.

7)       Dashti-barmaki, M. Rezaei, M. & Ashjari, J. 2015. Potential for water resources in Karst of Devon and Shapur mountains based on multi-criteria decision making, Iranian Journal of Water Research 9(1): 89-100 (In Persian).

8)       Devkota, K. C., Regmi, A. D., Pourghasemi, H. R., Yoshida, K., Pradhan, B., Ryu, I. C., ... & Althuwaynee, O. F. 2013. Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya. Natural Hazards 65(1): 135-165

9)       Dey, P. K., & Ramcharan, E. K. 2008: Analytic hierarchy process helps select site for limestone quarry expansion in Barbados. Journal of Environmental management 88(4): 1384-1395.

10)   Ercanoglu, M., Gokceoglu, C., & Van Asch, T. W. 2004. Landslide susceptibility zoning north of Yenice (NW Turkey) by multivariate statistical techniques. Natural Hazards 32(1): 1-23.

11)   Fars Regional Water Authority. 2015. climatologic and rainfall station data.

12)   Geological Survey & Mineral Explorations of Iran. 1996. Geological map of Ardal, 1:100000 scale.

13)   Geological Survey & Mineral Explorations of Iran. 1999. Geological map of Dehdez, 1:100000 scale.

14)   Geological Survey & Mineral Explorations of Iran. 1995. Geological map of Chang, 1:100000 scale.

15)   Gheisi, H. 2008. Investigating the effective factors in karst development in Zagros karst terrains using remote sensing and GIS data, M.Sc. thesis, Department of Earth Sciences, Shiraz university (In Persian).

16)   Githui, F., Selle, B., & Thayalakumaran, T. 2012. Recharge estimation using remotely sensed evapotranspiration in an irrigated catchment in southeast Australia. Hydrological Processes 26(9): 1379-1389.

17)   Gontia, N. K., & Patil, P. Y. 2012. Assessment of groundwater recharge through rainfall and water harvesting structures in Jamka microwatershed using remote sensing and GIS. Journal of the Indian Society of Remote Sensing. 40(4): 639-648.

18)   Jasmin, I., & Mallikarjuna, P. 2011. Satellite-based remote sensing and geographic information systems and their application in the assessment of groundwater potential, with particular reference to India. Hydrogeology Journal 19(4): 729-740.

19)   Kendy, E., Zhang, Y., Liu, C., Wang, J., & Steenhuis, T. 2004. Groundwater recharge from irrigated cropland in the North China Plain: Case study of Luancheng County, Hebei Province, 1949–2000. Hydrological Processes 18(12): 2289-2302.

20)   Khedri, A. Rezaei, M. & Ashjari, J. 2013. Assessing Karst Development Potential in
Poyon Anticline using GIS,RS and Analytical
Hierarchy Process (AHP), Iran Water Resources Research Journal 9(3): 37-46 (In Persian).

21)   Khuzestan Water and Power Organization. 2015. climatologic and rainfall station data.

22)   Kohkiluye and Boyer Ahmad Regional Water Authority. 2015. climatologic and rainfall station data.

23)   Malczewski, J. 1999. GIS and Multicriteria Decision analysis:  Evaluation criteria and criterion weighting (book). John Wiley and Sons. Inc.

24)   Milewski, A. 2008. A remote sensing solution for estimating runoff and recharge in arid environments, PhD thesis, Western Michigan University.

25)   Moore, I. D., Grayson, R. B., & Ladson, A. R. 1991. Digital terrain modelling: a review of hydrological, geomorphological, and biological applications. Hydrological Processes 5(1): 3-30.

26)   Nassery, H. & Khodaei, K. 2001. The use of satellite digital data and GIS in groundwater exploration (Southwest of Urmieh Lake), 5^th Symposium of Geological Society of Iran (In Persian).

27)   National Iranian Oil Company. 1966. Geological map of Asmari, 1:100000 scale.

28)   National Iranian Oil Company. 1970. Geological map of Kuhe-Sefid, 1:100000 scale.

29)   National Iranian Oil Company. 1966. Geological map of Haft-Kel, 1:100000 scale.

30)   Rahnamaei, M. 1996. Investigation of Runoff and Permeability in Karst Carbonate Formations, M.Sc. thesis, Department of Earth Sciences, Shiraz university (In Persian).

31)   Saberi, A. Mahjouri K. & Keshavarzi, M. 2012. Groundwater potential by combining remote sensing and GIS with Analytic Hierarchy Process (AHP) method in Kamestan anticline, Khuzestan province, Advanced Geology Journal 6: 11-20 (In Persian).

32)   Shaban, A., Khawlie, M., & Abdallah, C. 2006. Use of remote sensing and GIS to determine recharge potential zones: the case of Occidental Lebanon. Hydrogeology Journal 14(4): 433-443.

33)   Stocklin, J. 1968. Structural history and tectonics of Iran: a review. AAPG Bulletin, 52(7): 1229-1258.

34)   Tajabadi, M. & Zare, M. 2013. Evaluation of groundwater recharge potential using GIS and comparison with the result of hydroclimatological balance method (case study: Kor river basin), 32^nd National and 1^st International Geosciences Congress by Approach Gemstones, Shiraz (In Persian).

35)   Yeh, H. F., Cheng, Y. S., Lin, H. I., & Lee, C. H. 2016. Mapping groundwater recharge potential zone using a GIS approach in Hualian River, Taiwan. Sustainable Environment Research 26(1): 33-43.

36)   Zarvash, N. Vaezi, A. & Karimi, H. 2014. Evaluation of the Karst development potential in the Kabir-Kouh Anticline of Ilam province using fuzzy integration and hierarchical analysis method (AHP) and remote sensing and GIS, Journal of Quantitative Geomorphology Research 3(3): 144-157 (In Persian).