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Seasonality Characteristics and Spatio-temporal Trends of 7-day Low Flows in a Large, Semi-arid Watershed

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  • Maryam Azizabadi Farahani
  • Davar Khalili

Abstract

Seasonality characteristics and spatio-temporal trends of 7-day low flows were investigated for the 41,470 km 2 semi-arid Karkheh watershed (western Iran), representing 12 stations with record length of 51 years (1958–2008). Hierarchical Cluster Analysis (HCA) was used to identify low-flow seasonality (clusters of low flow seasons). Monotonic trends were detected by the Mann-Kendall test. Breaks in low flow trends were detected by the Lombard’s change point test. Breaks in short-term trends were detected by the Lepage test. According to results seasonal clusters were different in most of the stations, indicating uniqueness in station low flow behaviour. Among the 12 stations studied, four stations showed seasonal monotonic trend and change points, some with abrupt change (change point in consecutive years). Two stations near watershed outlet with no monotonic trend showed abrupt change. Most seasonal change points (dates) compared well with documented droughts, highlighting drought impacts on low flow trends at affected stations. The Lepage test detected change point in seasonal low flow trends of most stations during 5- and 10-year periods. This research has shown that in semi-arid environments low flow seasonality characteristics may vary among stations, an indication that low flow trends should be evaluated individually for each station. Copyright Springer Science+Business Media Dordrecht 2013

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  • Maryam Azizabadi Farahani & Davar Khalili, 2013. "Seasonality Characteristics and Spatio-temporal Trends of 7-day Low Flows in a Large, Semi-arid Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(14), pages 4897-4911, November.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:14:p:4897-4911
    DOI: 10.1007/s11269-013-0445-6
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    2. Jianzhu Li & Senming Tan & Zhaozhen Wei & Fulong Chen & Ping Feng, 2014. "A New Method of Change Point Detection Using Variable Fuzzy Sets Under Environmental Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(14), pages 5125-5138, November.
    3. Sara Hashempour Motlagh Shirazi & Davar Khalili & Shahrokh Zand-Parsa & Amin Shirvani, 2022. "Spatio-temporal variability of extreme precipitation characteristics under different climatic conditions in Fars province, Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 11348-11368, September.
    4. Arash Modaresi Rad & Davar Khalili & Ali Akbar Kamgar-Haghighi & Shahrokh Zand-Parsa & Seyed Adib Banimahd, 2016. "Assessment of seasonal characteristics of streamflow droughts under semiarid conditions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(3), pages 1541-1564, July.
    5. Konstantina Risva & Dionysios Nikolopoulos & Andreas Efstratiadis & Ioannis Nalbantis, 2018. "A Framework for Dry Period Low Flow Forecasting in Mediterranean Streams," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 4911-4932, December.

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