Journal article
Entropy, consistency in rainfall distribution and potential water resource availability in Australia
Hydrological Processes, Vol.25(16), pp.2613-2622
2011
Abstract
Understanding the variability in monthly rainfall amounts is important for the management of water resources. We use entropy, a measure of variability, to quantify the rainfall variability in Australia. We define the entropy of stable rainfall (ESR) to measure the long-term average rainfall variability across the months of the year. The stations in northern Australia observe substantially more variability in rainfall distributions and stations in southern Australia observe less variability in rainfall distribution across the months of the year. We also define the consistency index (CI) to compare the distribution of the monthly rainfall for a given year with the long-term average monthly rainfall distribution. Higher value of the CI indicates the rainfall in the year is consistent with the overall long-term average rainfall distribution. Areas close to the coastline in northern, southern and eastern Australia observe more consistent rainfall distribution in individual years with the long-term average rainfall distribution. For the studied stations, we categorize the years into different potential water resource availability on the basis of annual rainfall amount and CI. For almost all Australian rainfall stations, El Niño years have a greater risk of having below median and relatively inconsistent rainfall distribution than La Niña years. The results may be helpful for developing area-specific water usage strategies.
Details
- Title
- Entropy, consistency in rainfall distribution and potential water resource availability in Australia
- Authors
- Md Masud Hasan (Author) - University of the Sunshine Coast - Faculty of Science, Health and EducationPeter K Dunn (Author) - University of the Sunshine Coast - Faculty of Science, Health and Education
- Publication details
- Hydrological Processes, Vol.25(16), pp.2613-2622
- Publisher
- John Wiley & Sons Ltd.
- DOI
- 10.1002/hyp.8038
- ISSN
- 0885-6087
- Organisation Unit
- School of Science, Technology and Engineering; University of the Sunshine Coast, Queensland; School of Health and Sport Sciences - Legacy
- Language
- English
- Record Identifier
- 99449687102621
- Output Type
- Journal article
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