Wissem Gallala

Prof. Wissem Gallala

University of Sousse, Sousse, Tunisia
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
31 October 2019 in Open Geosciences
Verified
Journal Article
Open access
PDF file
ZAZorgati Anis
Zorgati Anis
WGWissem Gallala
Wissem Gallala
VVVakhshoori Vali
Vakhshoori Vali
HSHabib Saleh Smida
Habib Saleh Smida
GEGaied Mohamed Essghaier
Gaied Mohamed Essghaier
The Tunisian North-western region, especially Tabarka and Ain-Drahim villages, presents many landslides every year. Therefore, the landslide susceptibility mapping is essential to frame zones with high landslide susceptibility, to avoid loss of lives and properties. In this study, two bivariate statistical models: the evidential belief functions (EBF) and the weight of evidence (WoE), were used to produce landslide susceptibility maps for the study area. For this, a landslide inventory map was mapped using aerial photo, satellite image and extensive field survey. A total of 451 landslides were randomly separated into two datasets: 316 landslides (70%) for modelling and 135 landslides (30%) for validation. Then, 11 landslide conditioning factors: elevation, slope, aspect, lithology, rainfall, normalized difference vegetation index (NDVI), land cover/use, plan curvature, profile curvature, distance to faults and distance to drainage networks, were considered for modelling. The EBF and WoE models were well validated using the Area Under the Receiver Operating Characteristic (AUROC) curve with a success rate of 87.9% and 89.5%, respectively, and a predictive rate of 84.8% and 86.5%, respectively. The landslide susceptibility maps were very similar by the two models, but the WoE model is more efficient and it can be useful in future planning for the current study area.

1 March 2019 in Journal of African Earth Sciences
Verified
Journal Article
Closed access
ZAZorgati Anis
Zorgati Anis
WGWissem Gallala
Wissem Gallala
HRHaddji Riheb
Haddji Riheb
Biswajeet PradhanBiswajeet Pradhan
Biswajeet Pradhan
GEGaied Mohamed Essghaier
Gaied Mohamed Essghaier

1 March 2017 in Annals of Nuclear Energy
Verified
Journal Article
Closed access
WGWissem Gallala
Wissem Gallala
YHYousra Hayouni
Yousra Hayouni
MGMohamed Essghaier Gaied
Mohamed Essghaier Gaied
MFMichael Fusco
Michael Fusco
JAJasmin Alsaied
Jasmin Alsaied
MBMohamed Bourham
Mohamed Bourham

1 March 2009 in Journal of African Earth Sciences
Verified
Journal Article
Closed access
WGWissem Gallala
Wissem Gallala
MGMohamed Essghaier Gaied
Mohamed Essghaier Gaied
MMMabrouk Montacer
Mabrouk Montacer

1 March 2015 in Arabian Journal of Chemistry
Verified
Journal Article
Open access
MGM.E. Gaied
M.E. Gaied
WGWissem Gallala
Wissem Gallala
In this study, physical and physicochemical experiments were carried out to improve the quality of feldspar ore in Sidi Aïch massive, located in the Gafsa region of south-western Tunisia. After determination of the mineralogical and the chemical composition, flotation methods were applied. In this study, non-hydrofluoric acid flotation methods used in feldspar-quartz separation were compared with each other and with the conventional HF/amine method. The results showed that conventional HF/amine method is the most effective and selective method.Experimental studies indicate that an acceptable concentrate for industrial application can be obtained from these rocks. The feldspar yield was used to evaluate the process efficiency. Besides, the cone shrinkage, water absorption, degree of vitrification, mechanical properties (flexural strength) and dielectric behaviour were used to monitor the quality of the recovered feldspars

1 October 2010 in Journal of African Earth Sciences
Verified
Journal Article
Closed access
WGWissem Gallala
Wissem Gallala
MGMohamed Essghaïer Gaied
Mohamed Essghaïer Gaied
EEElhoucine Essefi
Elhoucine Essefi
MMMabrouk Montacer
Mabrouk Montacer