C43C-0404:
Geomatics contributions to key indicators for estimation and monitoring of snow cover input to hydrogeological resources

Thursday, 18 December 2014
Janine Somma1, Laurent Drapeau2, Charbel Abou Chakra3 and Taha El-Ali3, (1)Saint-Joseph University, Beirut, 1104, Lebanon, (2)IRD Institute for Research and Development, Marseille Cedex 02, France, (3)Saint Jospeh University, Beirut, Lebanon
Abstract:
Climate change is a subject of concern for the inhabitants of the semi-arid zones because water needs are greatly increasing with population growth. For the Middle East region, the karstic geology of Lebanon with its high and steep mountains makes it a real water tower and promotes an essential snow cover. Studies carried out on snow water equivalent reserve [1] remain still insufficient for the development of continuous monitoring. Modeling the lebanese high plateau made of sinkholes and undulations eases the computations of land capacity for snow retention. It is therefore an interesting testing ground for snow volumes calculations [2]. To improve previous attempts, a research project focuses on snow melting processes. It uses the cessation date of snow melt water infiltration which is crucial in the precocity or the delay of low water level [3]; and geomatics to determinate the major factor for the evaluation of storaged water (spatial or vertical extension of snow cover). The project studies the sensitivity of temporal snow melting variabilities to quantities of snow precipitations and climatic conditions. Field measurements were collected at very high topographic precision [4] in a specific sinkhole and were used to create volumes models for measuring indicators such as: snow water equivalent; melting speed in relation to climatic data; forecast of completed meting date; correlations with springs discharges. Other methodological procedures take into account snow depressions (sinkholes and ripples) capacity retention; daily webcam images to monitor the accumulation and melt rate and remotely sensed Pleiades stereoscopic images to create snow cover elevation model at the time of acquisition.

[1]Corbane et al., 2004 ; 2005 ; Corbane, 2002 ; Bernier et al., 2001, 2003 ; Shaban et al., 2004; Aouad et al., 2004, Aouad-Rizk et al., 2005 ; Gédéon el al., 2004

[2] Somma et al ; 2014

[3] Drapeau et al ; 2013

[4] Drapeau et al, 2013; Somma et Drapeau, 2011 ; Somma et Luxey, 2006