IJREH | Remote sensing and Geographical Information System using for Water Resources Management for Bandama Watershed (Côte d’Ivoire): Case study of Kohoua Subwatershed at Farandougou

Indexing and Abstracting

Remote sensing and Geographical Information System using for Water Resources Management for Bandama Watershed (Côte d’Ivoire): Case study of Kohoua Subwatershed at Farandougou

Avy Stéphane KOFFI , Omer Zéphir DE LASME , Oumar FOFANA

International Journal of Rural Development, Environment and Health Research(IJREH), Vol-3,Issue-4, July - August 2019, Pages 123-128, 10.22161/ijreh.3.4.1

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Abstract:

Nowadays, studies on water resources management are quite important. This study on a subwatershed of the Bandama River in Côte d’Ivoire got a better understanding of the geomorphological characteristics of the study area. The use of satellite images and geographic information systems tools allowed to respond appropriately the management of water resources. The Digital Elevation Model (DEM) of the Farandougou subwatershed, the Bandama river hydrographic network and the geostatistical analysis of this subwatershed have been shown and interpreted in this study. The area’s elevation is between 0 and 700 meters approximatively. The value of river length minimum is around 11273.091 meters and the value of river length maximum is around 44415.180 meters, the coefficient of variation is around 0.462 for example. The geostatistic of Kohoua at Farandougou has given also mean of 449.621 meters, mediane of 441 meters, variance of 3040.996 meters and standard deviation of 55.145 meters. The majority of the Kohoua subwatershed area has an elevation around 410 meters versus the minority around 715 meters.

Keywords:

Geomorphological, Bandama, satellite, river, elevation.

References:

[1] Khatun Ferdousi and Sharma Pratikshya, “Accurate Drainage Network Extraction from Satellite Imagery—A Survey”. 2019.
[2] Garbrecht, J. et L. W. Martz, “Advances in Automated Landscape Analysis”, in American Society of Engineers, San Antonio, Texas, 1995, vol. 1, p. 844 848.
[3] Davies B. and Gasse F., African wetlands and shallow water bodies, ORSTOM. 1988.
[4] Rosman Nathan, Zlotnik Vitaly, and Rowe Clinton, “An approach to hydrogeological modeling of a large system of groundwater-fed lakes and wetlands in the Nebraska Sand Hills, USA”, Hydrogeology Journal, 2017.
[5] Tribe A., “Automated Recognition of Valley Heads from Digial Elevation Models”, Earth Surface Processes & Landforms, no 16(1), p. 33 49, 1992.
[6] Mark D. M., “Automatic Detection of Drainage Networks from Digital Elevation Models”, Cartographica, no 21(2/3), p. 168 178, 1984.
[7] Balasubramanian, A, “Digital Elevation Model (DEM) in GIS”. 2017.
[8] Garbrecht J. et Martz L. W., “Digital Elevation Model Issues In Water Resources Modeling”, vol. Proceeding 99, no paper 866, 1999.
[9] Moore I. D., Grayson R. B., and Ladson A. R., “Digital Terrain Modelling: A Review of Hydrological, Geomorphological and Biological Applications”, Hydrological Processes, no 5(1), p. 3 30, 1991.
[10] Tziritis Evangelos and Lombardo Luigi, “Estimation of intrinsic aquifer vulnerability with index-overlay and statistical methods: the case of eastern Kopaida, central Greece”, Applied Water Science, 2017.
[11] Jenson K. S. and Domingue J. O., “Extracting Topographic Structure from Digital Elevation Data for Geographical Information System Analysis”, Photogrammetric Engineering and Remote Sensing, vol. 54, no 11, p. 1593 1600, 1988.
[12] Martins Da Silva Robert, Moreira Virnei, et Bernadino Lopes Alexandre, “Geodetic method to obtain a digital elevation model associated to the Brazilian Geodetic System”, International Journal of Engineering and Technical Research, no 7, p. 14 17, 2019.
[13] Kishore Tewari Naval and Kumar Misra Anil, “Landslide vulnerability assessment in Gangotri valley glacier Himalaya through GIS and remote sensing techniques”, Applied Water Science, 2019.
[14] Lévêque Christian, Dejoux C. and Iltis A., “Limnology of the Bandama river in Côte d’Ivoire”, Hydrobiologia, no 100, p. 113 141, 1983.
[15] Martz L. W. and Garbrecht J., “Numerical Definition of Drainage Network and Subcatchment Areas from Digital Elevation Models”, Computers and Geosciences, no 18(6), p. 747 761, 1992.
[16] O’Callaghan J. F. and Mark D. M., “The Extraction of Drainage Networks from Digital Elevation Data”, Computer Vision, Graphics, and Image Processing, no 28, p. 323 344, 1984.
[17] Garbrecht J. and Starks L. W., “Note on the Use of USGS Level 1 7.5-Minute DEM Coverages for Landscape Drainage Analyses”, vol. 61, no 5, p. 519-522, 1995.