Characterization of rainfall spells for urban water management

Chowdhury, Rezaul K. and Beecham, Simon (2013) Characterization of rainfall spells for urban water management. International Journal of Climatology, 33 (4). pp. 959-967. ISSN 0899-8418


Rainfall events and inter‐event spell properties were analysed in this study using observed daily rainfall sequences for Adelaide and Melbourne in Australia. First and higher order transitional probabilities of dry and wet days were also estimated. Various statistical moments of spells were estimated and compared between Adelaide and Melbourne. Six theoretical distributions were fitted to the dry and wet spells. These were geometric, compound geometric, generalized Pareto, logarithmic series, Polya and truncated negative binomial distributions. The probability of longer dry spells was found to be higher in Adelaide than in Melbourne. Mean dry spell length was found to be highest in summer, where 7 days and 5.5 days were observed in February in Adelaide and Melbourne respectively. Mean wet spell length was observed to be longer in Adelaide than in Melbourne during autumn and winter. The study revealed that dry and wet spells in Adelaide and Melbourne are best fitted by geometric and compound geometric distributions. The Polya distribution was also found to fit the Melbourne dry spell lengths and Adelaide wet spell lengths. The Implications of dry spell properties for urban water management (for example water sensitive urban design) are also discussed.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Restricted access to published version in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 11 Jun 2018 01:14
Last Modified: 11 Jun 2018 01:14
Uncontrolled Keywords: rainfall, wet and dry spell, statistical distribution, water sensitive urban design
Fields of Research : 09 Engineering > 0905 Civil Engineering > 090509 Water Resources Engineering
Socio-Economic Objective: D Environment > 96 Environment > 9609 Land and Water Management > 960912 Urban and Industrial Water Management
Identification Number or DOI: 10.1002/joc.3482

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