Geoinformatics & Geostatistics: An OverviewISSN: 2327-4581

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Research Article, Geoinfor Geostat An Overview S Vol: 1 Issue: 0

Hydrological Risk Analysis with Optical Remote Sensing and Hydrogeological Modelling: Case Study of Dakar Flooding Area (Senegal)

Diouf OC1*, Faye SC1, Dieng NM1, Faye S1, Faye A1, Englert A and Wohnlich S2
1Geology Department, Faculty of Science and Technology, University Cheikh Anta Diop (UCAD) Dakar-Fann, BP 5005, Senegal
2Ruhr University of Bochum, Department of Applied Geology, Universitaets str. 150, D-44801 Bochum, Germany
Corresponding author : Ousmane Coly Diouf
Geology Department, Faculty of Science and Technology, University Cheikh Anta Diop (UCAD) Dakar-Fann, BP 5005, Senegal,
Tel: 00221-77-561-1932
E-mail: ouscolydiouf@yahoo.fr
Received: February 22, 2013 Accepted: June 25, 2013 Published: July 04, 2013
Citation: Diouf OC, Faye SC, Dieng NM, Faye S, Faye A, et al. (2013) Hydrological Risk Analysis with Optical Remote Sensing and Hydrogeological Modelling: Case Study of Dakar Flooding Area (Senegal). Geoinfor Geostat: An Overview S1. doi:10.4172/2327-4581.S1-011

Abstract

Hydrological Risk Analysis with Optical Remote Sensing and Hydrogeological Modelling: Case Study of Dakar Flooding Area (Senegal)

The present study uses remote sensing, geographic information systems, groundwater levels and hydrogeological modelling to evaluate the influence of urbanization and modification of water pumping rates on groundwater and related inundations. Evidence of the fast urban expansion was investigated using time series aerial photos and satellite images interpretation (1966, 1978, 1989, 2000 and 2006). Results show that urban occupation increases from 36 km2 in 1966 to 150 km2 in 2006. However, areas affected by flooding were mainly located in Guediawaye and Pikine districts (municipalities). Daily groundwater monitoring levels using “Thalimede Orpheus mini” recorders and chemical data investigation support relatively high recharge values in the periurban areas. Groundwater recharge evolution is modelled using FEFLOW software.

Keywords: Floods, Remote sensing, chemistry, hydrogeological modelling

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