Analysis of spatio-temporal trends using standardised precipitation index (SPI)

The trend of Standardised Precipitation Index (SPI) was investigated for more than 100 years of data using non-parametric trend technique Mann Kendall (MK) to detect wet (increasing) and dry (decreasing) periods across Victoria, Australia. Preliminary trend analysis was carried out for five differen...

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Bibliographic Details
Published in:ARPN journal of engineering and applied sciences 2016-02, Vol.11 (4)
Main Authors: Rahmat, Siti Nazahiyah, Jayasuriya, Niranjali, Adnan, Mohd Shalahuddin, Bhuiyan, Muhammed
Format: Article
Language:English
Subjects:
Australia
Drying
Stations
Trend analysis
Trends
Online Access:Get full text
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Summary:The trend of Standardised Precipitation Index (SPI) was investigated for more than 100 years of data using non-parametric trend technique Mann Kendall (MK) to detect wet (increasing) and dry (decreasing) periods across Victoria, Australia. Preliminary trend analysis was carried out for five different stations out of the 70 stations selected for this study. Out of five stations, two stations showed significant decreasing, indicating an increase in magnitude of dry periods. While the other two stations exhibited significant increasing trends. The analysis was repeated using recent data from approximately half the data set between 1949 and 2011. Contrasting results from the original full data set analysis were revealed. Based on the conclusions drawn from the preliminary analysis, the trend analysis was applied using the MK test for the remaining 65 stations for full set of data. Therefore, the use of full data set available would be required in order to improve understanding on change or before to undertake any further studies.
ISSN:1819-6608
1819-6608