Advertisement

Application of Remote-Sensing Techniques for Water-Resources Investigations in the UAE

  • Abdulrahman S. Alsharhan
  • Zeinelabidin E. Rizk
Chapter
  • 56 Downloads
Part of the World Water Resources book series (WWR, volume 3)

Abstract

The remote-sensing (RS) technique, uniformity coefficient (Cu) and infiltration capacity (Ic) were used for the classification of Quaternary clastic sediments southwest of Al Ain City, eastern UAE.

About 75 sand and gravel samples were collected from sand dunes and interdune areas for grain-size analysis and hydraulic-conductivity measurement. Measurements of infiltration rates (Ir) were carried out in 27 sites during sampling with the use of a double ring infiltrometer.

The interdune areas were classified into four classes: standing water (C1), >50% moisture (C2), 5–25% moisture (C3) and <25% moisture (C4), while sand dunes were distinguished into C5 in the east, C6 in the middle and C7 in the west, with increasing sand sorting, and hydraulic properties, from east to west.

Remote-sensing indicated that the evaporation rate from standing surface water and shallow groundwater in the investigated area is 6.35 Mm3/year.

References

  1. Al Muhairi A, Ghedira H, Al-Ahmad H, Dawood A (2011) Using remote sensing satellites for water quality monitoring in the UAE, IEEE GCC Conference and Exhibition (GCC), Dubai, pp 67–68Google Scholar
  2. Bedendo DJ (1990) Use of geographic information system and data processing in the assessment of soil degradation. M. Sc. Thesis, ITC – Enschede, NetherlandsGoogle Scholar
  3. Elmahdy SI, Mohamed MM (2015) Groundwater of Abu Dhabi Emirate: a regional assessment by means of remote sensing and geographic information system. Arab J Geosci 8:11279–11292CrossRefGoogle Scholar
  4. Friedman SZ (1986) Mapping urbanized area expansion through digital image processing of Landsat and conventional data. Publication 79–117. Jet Propulsion Laboratory, PasadenaGoogle Scholar
  5. Garamoon HK (1996) Hydrogeological and geomorphological studies on the Abu Dhabi–Al Ain–Dubai rectangle, United Arab Emirates. Ph. D. Thesis, Ain Shams University, Cairo, Egypt, p 277Google Scholar
  6. Howari FM, Sherif MM, Singh VP, Al Asam MS (2009) Application of GIS and remote sensing techniques in identification, assessment and development of groundwater resources. In: Chapter 1 Application of GIS and remote sensing techniques, pp 1–25.  https://doi.org/10.1007/978-1-4020-5729-8-1 CrossRefGoogle Scholar
  7. Lillesand TM, Kiefer WR (1987) Remote sensing and image interpretation. Wiley, Hoboken, p 721Google Scholar
  8. Moik H (1980) Digital processing of remotely sensed images. NASA Sp. Publ. no. 43, Washington, DCGoogle Scholar
  9. Pettyjohn W (1979) Ground water and satellites – an overview\introduction. In: Satellite hydrology. American Water Resources Association, Middleburg, pp 385–386Google Scholar
  10. Pratt WK (1978) Digital image processing. Wiley, New York, p 750Google Scholar
  11. Rizk ZS, Garamoon HK, El-Etr HA (1998a) Application of remote sensing techniques to a hydrogeological investigation of sand dunes southwest of Al Ain city, United Arab Emirates. Egypt J Remote Sens Space Sci 1(1):369–390Google Scholar
  12. Rizk ZS, Garamoon HK, El-Etr AA (1998b) Hydraulic properties of dune and interdune areas around Al-Ain, United Arab Emirates. In: Alsharhan, Glennie, Whittle, Kendall (eds) Proceedings of the international conference on quaternary deserts and climatic change. Balkema, Rotterdam, pp 455–467Google Scholar
  13. Sabins FF (1987) Remote sensing: principles and interpretation. W. H. Freeman, New York, p 449Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Abdulrahman S. Alsharhan
    • 1
  • Zeinelabidin E. Rizk
    • 2
  1. 1.Middle East Geological and Environmental EstablishmentDubaiUnited Arab Emirates
  2. 2.University of Science and Technology of FujairahFujairahUnited Arab Emirates

Personalised recommendations