Spatial and temporal analysis of rainfall concentration using the Gini index and PCI

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dc.contributor.author Sangüesa, Claudia
dc.contributor.author Pizarro, Roberto
dc.contributor.author Ibañez, Alfredo
dc.contributor.author Pino, Juan
dc.contributor.author Rivera, Diego
dc.contributor.author Garcia-Chevesich, Pablo
dc.contributor.author Ingram, Benjamin R.
dc.date.accessioned 2018-02-08T15:52:37Z
dc.date.available 2018-02-08T15:52:37Z
dc.date.issued 2018-01-28
dc.identifier.citation Sangüesa C, Pizarro R, Ibañez A, Pino J, Rivera D, García-Chevesich P, Ingram B, Spatial and Temporal Analysis of Rainfall Concentration Using the Gini Index and PCI, Water, Vol. 10, Issue 2, 2018, 112 en_UK
dc.identifier.issn 2073-4441
dc.identifier.uri http://dx.doi.org/10.3390/w10020112
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/12971
dc.description.abstract This study aims to determine if there is variation in precipitation concentrations in Chile. We analyzed daily and monthly records from 89 pluviometric stations in the period 1970–2016 and distributed between 29°12′ S and 39°30′ S. This area was divided into two climatic zones: arid–semiarid and humid–subhumid. For each station, the Gini coefficient or Gini Index (GI), the precipitation concentration index (PCI), and the maximum annual precipitation intensity in a 24-h duration were calculated. These series of annual values were analyzed with the Mann–Kendall test with 5% error. Overall, it was noted that positive trends in the GI are present in both areas, although most were not found to be significant. In the case of PCI, the presence of positive trends is only present in the arid–semiarid zone; in the humid–subhumid zone, negative trends were mostly observed, although none of them were significant. Although no significant changes in all indices are evident, the particular case of the GI in the humid–subhumid zone stands out, where mostly positive trends were found (91.1%), of which 35.6% were significant. This would indicate that precipitation is more likely to be concentrated on a daily scale. en_UK
dc.language.iso en en_UK
dc.publisher MDPI en_UK
dc.rights Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ *
dc.subject Precipitation concentration en_UK
dc.subject Rainfall Gini Index en_UK
dc.subject Precipitation trends en_UK
dc.subject Trends of monthly and daily precipitation en_UK
dc.subject 24h maximum intensity en_UK
dc.title Spatial and temporal analysis of rainfall concentration using the Gini index and PCI en_UK
dc.type Article en_UK


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