In all river basins from 1973 to 2014, there were a total of 18 severe drought events when using M1SWSI, but there were a total of 39 severe and 12 extreme drought events when using SDI. Hydrological drought analysis using SDI has more drought occurrence frequency than M1SWSI. But for the case of Genale Dawa and Wabishebele basins, the drought severity increased from 2000 to 2014. The two indices results showed that the 1980s were the most severe drought years for all river basins. The M1SWSI and SDI value was computed from 1973 to 2014 using 34 streamflow stations, 42 rainfall gauge stations, and 3 lake-level data. The objective of this study was to compare two hydrological drought indices the modified surface water supply index (M1SWSI) and streamflow drought index (SDI) over eight river basins, in Ethiopia. It is obvious that there is not a single best drought index rather a comparison of indices will give a relative option. Consequently, the identification of an appropriate drought index is now a challenging task for researchers. Recently, floods and drought have become common natural hydroclimatic hazards in several countries. 1: α-Pinene isomer 2: Camphene 3: o-Cymene 4: 3-Carene 5: α-Myrcene 6: α-Terpinene 7: o-Cymene isomer 8: Limonene 9: Linalool 10: Endo-borneol 11: Terpinen-4-ol isomer 12: Terpineol isomer 13: Elemene isomer 14: Carvacrol 15: Carvacrol isomer 16: Carvacrol isomer 17: Coapene isomer 18: α-Copaene isomer 19: Cariophylene isomer 20: Cariophylene 21: α-Guaiene 22: Humulene 23: α-Bisabolene 24: Methanethiol 25: Allyl isothiocyanate 26: Diallyl disulphide 27: Dipropyl disulfide 28: Allyl trisulfide 29: Diallyl sulfide 30: 2-Ethyl dithiane 31: Allyl-2-isopropyldisulfane 32: (E) −1-(Prop-1-en-yl) −3-propyltrisulfane isomer 33: 3,4-Dimethyl-thioene 34: Dimethyldisulfide 35: Dimethyl trisulfide. ![]() UM: unmarinated moose, UB: unmarinated beef, MM: marinated moose with unfiltered beer based marinate 1, MS: marinated moose with unfiltered beer based marinate 2, BM: marinated beef with unfiltered beer based marinate 1 BS: marinated beef with unfiltered beer based marinate 2. ![]() PCA biplot performed with the abundances of the volatile terpenes and thiols detected in the headspace of unmarinated and marinated grilled moose and beef, together with the scores of sensory attributes as supplementary quantitative variables. Method name: The use of XLSTAT in conducting principal component analysis (PCA) when evaluating the relationships between sensory and quality attributes in grilled foods, Keywords: Grilled ruminant meat, Volatile metabolites, Unfiltered beer-based marinades, SPME-GC/MS, Sensory analysis, Principal component analysis PCA could be applied to explore relationships between volatile compounds and sensory attributes in different food systems.PCA clustered marinated and unmarinated meats based on the presence and abundances of volatile terpenes, thiols and consumer sensory attribute scores. ![]() XLSTAT PCA output successfully reduced the number of variables into 2 components that explained 90.47% of the total variation of the data set.PCA was conducted to determine the correlations between the abundances of volatile terpenes and thiols and sensory attribute scores in marinated grilled meats, as well as to analyze if there was any clustering based on the type of meat and marination treatments employed. ![]() As a case of study, multivariate analysis is used to study the effects of unfiltered beer-based marination on the volatile terpenes and thiols, and sensory attributes of grilled ruminant meats. Interests in XLSTAT as statistical software program of choice for routine multivariate statistics has been growing due in part to its compatibility with Microsoft Excel data format. Principal component analysis (PCA) is an unsupervised multivariate analysis technique that simplifies the complexity of data by transforming them in a few dimensions showing their trends and correlations. Multivariate statistics is a tool for examining the relationship of multiple variables simultaneously.
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