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Publications by Author: Belkhiri, Lazhar

2021
Belkhiri L, Kim T-J. Individual Influence of Climate Variability Indices on Annual Maximum Precipitation Across the Global Scale. Water Resources Management [Internet]. 2021;35 :2987-3003. Publisher's VersionAbstract

Studying the influence of climate variability indices on extreme precipitation will help to understand the variability of extreme precipitation. However, the influence of climate indices on extreme precipitation over the world has received little attention. In this work, a stationary generalized extreme value (GEV) model and nonstationary GEV models on the annual maximum 1-day precipitation (Rx1day) at the global scale are developed. The Bayesian framework is adopted in this study. Four climate variability indices such as the El Niño-Southern Oscillation (ENSO), Atlantic Multidecadal Oscillation (AMO), North Atlantic Oscillation (NAO) and Pacific Decadal Oscillation (PDO) are used independently as covariates. The results showed that nonstationary GEV models are preferred over the stationary GEV model based on Deviance Information Criterion (DIC) and the significant covariates for a large number of grid cells which indicates that the influence of climate index is not a negligible component in the GEV model. In addition, the positive and negative influences of the covariates are analyzed. At the global, the effect of ENSO on the location parameter is greater than the effect of the other covariates, indicating that ENSO has a strong influence on extreme precipitation in large parts of the world.

Belkhiri L. Spatial and temporal variability of water stress risk in the Kebir Rhumel Basin, Algeria. Agricultural Water ManagementAgricultural Water Management. 2021;253 :106937.
2020
Salhi H, Belkhiri L, Tiri A. Evaluation of diffuse fraction and diffusion coefficient using statistical analysis. Applied Water ScienceApplied Water Science. 2020;10 :1-12.
Belkhiri L, Tiri A, Mouni L. Spatial distribution of the groundwater quality using kriging and Co-kriging interpolations. Groundwater for Sustainable DevelopmentGroundwater for Sustainable Development. 2020;11 :100473.
Tiri A, Belkhiri L, Asma M, Mouni L. Suitability and Assessment of Surface Water for Irrigation Purpose. In: Water Chemistry. IntechOpen ; 2020. pp. 3.
2018
Belkhiri L, Tiri A, Mouni L. Assessment of heavy metals contamination in groundwater: a case study of the south of Setif area, East Algeria. Achievements and Challenges of Integrated River Basin ManagementAchievements and Challenges of Integrated River Basin Management. 2018 :17-31.
Tiri A, Belkhiri L, Mouni L. Evaluation of surface water quality for drinking purposes using fuzzy inference system. Groundwater for Sustainable DevelopmentGroundwater for Sustainable Development. 2018;6 :235-244.
Mouni L, Belkhiri L, Bollinger J-C, Bouzaza A, Assadi A, Tirri A, Dahmoune F, Madani K, Remini H. Removal of Methylene Blue from aqueous solutions by adsorption on Kaolin: Kinetic and equilibrium studies. Applied Clay ScienceApplied Clay Science. 2018;153 :38-45.
Belkhiri L, Mouni L, Tiri A, Narany TS, Nouibet R. Spatial analysis of groundwater quality using self-organizing maps. Groundwater for Sustainable DevelopmentGroundwater for Sustainable Development. 2018;7 :121-132.
2017
Belkhiri L, Mouni L, Narany TS, Tiri A. Evaluation of potential health risk of heavy metals in groundwater using the integration of indicator kriging and multivariate statistical methods. Groundwater for Sustainable DevelopmentGroundwater for Sustainable Development. 2017;4 :12-22.
Mouni L, Belkhiri L, Bouzaza A, Bollinger J-C. Interactions between Cd, Cu, Pb, and Zn and four different mine soils. Arabian Journal of GeosciencesArabian Journal of Geosciences. 2017;10 :1-9.
Belkhiri L, Mouni L, Narany TS, Tiri A. Groundwater for Sustainable Development. Groundwater for Sustainable Development [Internet]. 2017;4 :12–22. Publisher's VersionAbstract

The factors and mechanism which control the spatial patterns of heavy metals in groundwater and their effect on human health could be identified with multivariate statistical methods and human health risk assessment. Sampling wells are statistically classified into two cluster based on the similar characters in groundwater quality using Q-mode cluster analysis (Q-mode CA). Two significant factors were extracted by principal component analyses (PCA), explaining 64.19% of the total variance. These factors were in turn described by the clusters 1 and 2, respectively, resulting from the R-mode CA. PCA and CA revealed significant anthropogenic contributions and water-rock interaction effects of the metals in groundwater. Health risk assessment factors including chronic daily intake (CDI) and hazard quotient (HQ) indices were computed for child and adult. The HQ indices of Cd and Pb in the both child and adult cases showed the value greater than the safe limits, which cause the harmful health hazards and potential non-carcinogenic health risks to the human. Spatial variability maps using ordinary kriging show that safe zones are mainly covered the west and south-western parts of the study area, while the contamination zones are found to be concentrated in the east, north, and south-eastern parts of the plain. The indicator kriging maps show highly uneven spatial pattern of Pb and Cd concentrations. The probability maps reveal that more than 50% of the total area possessed the highest probability (0.8–1.0) of exceeding the threshold values for Cd and Pb.

2012
Belkhiri L, Mouni L, Boudoukha A. Geochemical evolution of groundwater in an alluvial aquifer: Case of El Eulma aquifer, East Algeria. Journal of African Earth SciencesJournal of African Earth Sciences. 2012;66 :46-55.
2011
Tiri A, Belkhiri L, Boudoukha A, Lahbari N. Characterization and evaluation of the factors affecting the geochemistry of surface water of Koudiat Medouar Basin, Algeria. African Journal of Environmental Science and TechnologyAfrican Journal of Environmental Science and Technology. 2011;5 :355-362.
Belkhiri L, Boudoukha A, Mouni L, Baouz T. Statistical categorization geochemical modeling of groundwater in Ain Azel plain (Algeria). Journal of African Earth SciencesJournal of African Earth Sciences. 2011;59 :140-148.
2010
Belkhiri L, Boudoukha A, Mouni L, Baouz T. Application of multivariate statistical methods and inverse geochemical modeling for characterization of groundwater—a case study: Ain Azel plain (Algeria). GeodermaGeoderma. 2010;159 :390-398.