Showing 1 - 10 of 15
goal is to use the PCA + clustering method to transform the RDI temporal data (1982–2001) and cluster the different regions … indices followed by Clustering that was based on certain eigenchannels resulted from the previous PCA analysis. Both methods …
Persistent link: https://www.econbiz.de/10010794247
such natural hazards in northwestern Iran is considered in this study through clustering the precipitation regime. To … downscaled using the LARS-WG model. The method for comparing precipitations was done based on clustering in the form of 5 …
Persistent link: https://www.econbiz.de/10010997820
clustering algorithm (FCM). A comparison is also performed using K- Mean clustering algorithm. Additionally, regional homogeneity …
Persistent link: https://www.econbiz.de/10010998139
Regional drought modes in Portugal are identified applying the Principal Component Analysis (PCA) and Varimax rotation to the Standardized Precipitation Index (SPI) computed on various time scales using the three precipitation datasets covering the period 1950–2003: (i) The observation dataset...
Persistent link: https://www.econbiz.de/10011151777
An analysis of drought in Sicily from 1926 to 1996 is presented.In identifying drought over the region, both the NCEP/NCARreanalysis precipitation data and those observed in 43 gauges,located quite uniformly over the territory of the Island, areused. Drought occurrence is estimated by means of...
Persistent link: https://www.econbiz.de/10010794261
Water samples collected from a drinking water supply system were assessed for elemental composition (Al, Si, Ca, Mn, Fe and Zn) of suspended particles. Particulate Fe, Mn and Al concentrations were significantly correlated even though their origins are considered to be different. The results of...
Persistent link: https://www.econbiz.de/10010794392
Principal component analysis has been applied to thirteen dimensionless geomorphic parameters for sixteen watersheds of the Chambal catchment of Rajasthan, India, in order to group the parameters under different components based on significant correlations. Results of the principal component...
Persistent link: https://www.econbiz.de/10010794513
The differences in spatial patterns of drought over a range of time scales were analysed by the Standardized Precipitation Index (SPI). In a climatic area with a wide range of precipitation characteristics (the Iberian Peninsula), Pearson III distribution is flexible enough to calculate the...
Persistent link: https://www.econbiz.de/10010794664
The lack of reliable and updated precipitation datasets is the most important limitation that hinders establishing a drought monitoring and early warning system in Iran. To overcome this obstacle, we have evaluated the applicability of GPCC and NCEP/NCAR precipitation datasets for drought...
Persistent link: https://www.econbiz.de/10010794808
This study aims to optimize the water quality monitoring of a polluted watercourse (Leça River, Portugal) through the principal component analysis (PCA) and cluster analysis (CA). These statistical methodologies were applied to physicochemical, bacteriological and ecotoxicological data (with...
Persistent link: https://www.econbiz.de/10010997260