Determination of the Best Area for Collection of Flashflood Water using Geographic Information Systems and Digital Elevation Model

Abstract

Modern techniques of remote sensing (RS) provide tremendous potentiality for monitoring dynamic changes in large surface water bodies, extracting hydrological parameters, and modeling water balance. Normalized Difference Water Index (NDWI) using Near Infrared (NIR) and green channels of Lands at can delineate and enhance open water features. Geographical techniques such as Geographical Information Systems (GIS) and remote sensing help in locating suitable water recharging and / or harvesting sites in recent last years. This water can be useful for constructing a dam or basin in the study area. In addition, they can be an effective way of providing water for agriculture and pasture areas, which are furthest from the Nile. The objective of this paper is to determine hydrological network and select the best area of flash flood water accumulation. This study had been carried out in the locality of Omdurman (Sudan). It had indicated the usefulness of the combination of   RS and GIS techniques in the determination the best possible site for floodwater accumulation.

Country : Sudan

1 AbdelrahimElhag2 Badria Ali

  1. Associate professor, Department of GIS, College of Engineering, Sudan University of Science and Technology, Sudan
  2. Lecturer, Department of RS and Photogrammetry, College of Engineering, Sudan University of Science and Technology, Sudan

IRJIET, Volume 3, Issue 5, May 2019 pp. 1-5

References

  1. El Bastwesy M, Ali RR, Deocampo DM, Al Baroudi MS ,“Detection and Assessment of the Waterlogging in the Dry land Drainage Basins Using Remote Sensing and GIS Techniques”. IEEE journal of selected topics in applied earth observations and remote sensing 5: 1564-1571, 2012.
  2. Getahun YS and Gebre SL, “Flood Hazard Assessment and Mapping of Flood Inundation Area of the Awash River Basin in Ethiopia using GIS and HEC GeoRAS/HEC-RAS Model”, Getahun and Gebre, J Civil Environ Eng 2015, 5:4 http://dx.doi.org/10.4172/2165784X.1000179, 2015.
  3. Hapuarachchi, H.A.P, Wang, Q.J, Pagano, T.C, “A review of advances in flash flood forecasting. Hydrol Process”, 25, 2771–2784.http://dx.doi.org/10.1002/hyp.8040, 2011.
  4. Ismail Elkhrachy, “ Flash Flood Hazard Mapping Using Satellite Images and GIS Tools”: A case study of Najran City, Kingdom of Saudi Arabia (KSA), National Authority for Remote Sensing and Space Sciences The Egyptian Journal of Remote Sensing and Space Sciences, Received 23 March 2015; revised 10 June 2015; accepted 30 June 2015.
  5. Jeyaseelan. A.T,“ Droughts& Floods Assessment and  Monitoring using Remote Sensing and GIS” (Crop Inventory and Drought Assessment Division National Remote Sensing Agency Department of Space, Govt. of India, Hyderabad),2006.
  6. Paz, A.R. da, Collischonn, W (2007). River reach length and slope estimates for large-scale hydrological models based on a relatively high-resolution digital elevation model. J. Hydrol.doi:10.1016/j.jhydrol.2007.06.006.
  7. Rodriguez. D. A. et at ,“ Assessment of flooded Area Projections and Floods Potential Impacts Applying Remote Sensing Imagery and Demographic Data”, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B8, 2016 XXIII ISPRS Congress, Prague, Czech Republic,12–19 July 2016.
  8. Vail,  J.R,  “Outline  of  the  geology  and  mineral  deposits  of  the  Democratic Republic of the Sudan”. Overseas Geol. Miner. Resoure, London, 49, p 67, 1978.
  9. Whiteman, A., “The Geology of the Sudan Republic”, Clarendon press, London, 1971.