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Low Flows Regionalization in North-Western Italy

Author

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  • Paolo Vezza
  • Claudio Comoglio
  • Maurizio Rosso
  • Alberto Viglione

Abstract

Prediction of low flows in ungauged catchments is needed in many branches of water resources management, including water availability and river ecology studies. In this paper we analyze the regional variability of q 95 , i.e., the specific discharge that is exceeded 95% of the time, in North-Western Italy (Piemonte and Valle d’Aosta Regions). Multiple regressions with morphoclimatic catchment characteristics are applied in subregions obtained through four classification methods: Seasonality Indices (SI), Classification and Regression Trees (CRT), Residual Pattern Approach (RPA) and Weighted Cluster Analysis (WCA). All the classification methods separate the South-Eastern Apennine-Mediterranean area from the rest of the study domain (the Alps mountain range), even if they use different criteria to carry out this division (e.g., the percentage of forest, seasonality of low flows, combination of several parameters). In the Apennine-Mediterranean part of the area, low flows occur in summer with a long period of drought and are mainly due to dry climate, moderate snowpack storage and high evapotranspiration. In Alpine catchments low flows occur in winter and vary according to precipitation, elevation, interactions with aquifers and land cover. Within the Alpine mountain range the CRT algorithm identifies a number of small high-elevation catchments in which the intense drought period during winter has the soil freezing processes as the driving force. From a statistical point of view, the CRT model outperforms the models obtained by the other classification techniques in terms of explained variance (69%). Because of this, and given the meaningful hydrological interpretation of the results, we use the CRT model for the regionalization of q 95 in Piemonte and Valle d’Aosta. Lastly, as operational procedure for future low flow regionalization studies, we suggest that more classification methods should be applied to assist the critical analysis of the results. Copyright Springer Science+Business Media B.V. 2010

Suggested Citation

  • Paolo Vezza & Claudio Comoglio & Maurizio Rosso & Alberto Viglione, 2010. "Low Flows Regionalization in North-Western Italy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 4049-4074, November.
    • Handle: RePEc:spr:waterr:v:24:y:2010:i:14:p:4049-4074
    DOI: 10.1007/s11269-010-9647-3
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    References listed on IDEAS

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    1. K. Engeland & H. Hisdal, 2009. "A Comparison of Low Flow Estimates in Ungauged Catchments Using Regional Regression and the HBV-Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(12), pages 2567-2586, September.
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    Cited by:

    1. Marco Franchini & Ernesto Ventaglio & Alessandra Bonoli, 2011. "A Procedure for Evaluating the Compatibility of Surface Water Resources with Environmental and Human Requirements," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(14), pages 3613-3634, November.
    2. Ligia de Oliveira Serrano & Rayssa Balieiro Ribeiro & Alisson Carraro Borges & Fernando Falco Pruski, 2020. "Low-Flow Seasonality and Effects on Water Availability throughout the River Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(4), pages 1289-1304, March.
    3. Selen Orta & Hafzullah Aksoy, 2022. "Development of Low Flow Duration-Frequency Curves by Hybrid Frequency Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(5), pages 1521-1534, March.
    4. Samuel Beskow & Lloyd Norton & Carlos Mello, 2013. "Hydrological Prediction in a Tropical Watershed Dominated by Oxisols Using a Distributed Hydrological Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(2), pages 341-363, January.
    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.
    6. G. Y. Valenzuela-Morales & M. Hernández-Téllez & C. R. Fonseca-Ortiz & M. A. Gómez-Albores & A. Esquivel-Ocadiz & R. Arévalo-Mejía & A. Mejía-Olivares & C. A. Mastachi-Loza, 2023. "Climatic and socioeconomic regionalization of the meteorological drought in Mexico using a predictive algorithm," 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. 117(2), pages 1381-1403, June.
    7. Baifus Manke, Emanuele & Nörenberg, Bernardo Gomes & Faria, Lessandro Coll & Tarjuelo, José Maria & Colombo, Alberto & Chagas Neta, Maria Clotilde Carré & Parfitt, José Maria Barbat, 2019. "Wind drift and evaporation losses of a mechanical lateral-move irrigation system: Oscillating plate versus fixed spray plate sprinklers," Agricultural Water Management, Elsevier, vol. 225(C).

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