Assessment of seasonal characteristics of streamflow droughts under semiarid conditions
Arash Modaresi Rad (),
Davar Khalili (),
Ali Akbar Kamgar-Haghighi (),
Shahrokh Zand-Parsa () and
Seyed Adib Banimahd ()
Additional contact information
Arash Modaresi Rad: Shiraz University
Davar Khalili: Shiraz University
Ali Akbar Kamgar-Haghighi: Shiraz University
Shahrokh Zand-Parsa: Shiraz University
Seyed Adib Banimahd: Shiraz University
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2016, vol. 82, issue 3, No 5, 1564 pages
Abstract:
Abstract Streamflow regime of semiarid environments is strongly influenced by rainy and non-rainy seasons, an indication that streamflow drought analysis should consider seasonality of streamflow behavior. The streamflow drought index (SDI), developed for continuous streamflow data, is modified to accommodate seasonal time series data. Possible SDI associations with standardized precipitation index are investigated at 3-, 6-, 9- and 12-month timescales. Case study area is semiarid Karkheh watershed (western Iran), with 42 years of data from selected rain gauge/hydrometric stations. Boxplots were used to establish rainy/non-rainy and wet/dry seasons from monthly data. According to Mann–Kendall test results, eight rain gauge and ten hydrometric stations indicated nonsignificant temporal trend, which were kept for further analysis. Markov chain results showed first-order dependency in all stations, indicating that drought predictability characteristics are based on the conditions of previous time period. Dry season streamflow droughts generally indicated longer durations compared to wet season droughts, and streamflow droughts were more persistent than meteorological droughts. According to results, historic drought of 1998–2001 has not recovered after more than a decade, indicating critical levels of SDI values during the dry season. Consideration of streamflow seasonality has been instrumental in detecting severe dry season droughts, not readily detectable when continuous time series data are used.
Keywords: Streamflow seasonal characteristics; Streamflow drought index (SDI); Standardized precipitation index (SPI); Markov chains (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://link.springer.com/10.1007/s11069-016-2256-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:82:y:2016:i:3:d:10.1007_s11069-016-2256-6
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069
DOI: 10.1007/s11069-016-2256-6
Access Statistics for this article
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk
More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().