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Monthly Hydrological Indicators to Assess Possible Alterations on Rivers’ Flow Regime

Author

Listed:
  • Dario Pumo

    (Università degli Studi di Palermo)

  • Antonio Francipane

    (Università degli Studi di Palermo)

  • Marcella Cannarozzo

    (Università degli Studi di Palermo)

  • Chiara Antinoro

    (Centro di Ricerca Politiche e Bioeconomia)

  • Leonardo Valerio Noto

    (Università degli Studi di Palermo)

Abstract

Assessing potential deviations of the fundamental river basins’ hydrological processes and streamflow characteristics from the “natural trajectory” represents a high-priority objective to understand the biological impact of altered flow regime on river ecosystems. Existing approaches are mainly based on the analysis of daily-based indicators of hydrologic alteration, which requires wide database, including “pre-impact” and “post-impact” daily flow data frequently unavailable. The hydrological modeling is commonly used to face data missing problems or reconstruct natural conditions, even if models, especially at the daily scales, are often complex and computationally intensive. The use of simpler and more parsimonious models results, sometimes, essential for practical applications, also in consideration of the typical scarce availability of some data. This paper proposes an alternative approach for the evaluation of rivers flow regime alterations, based on different monthly hydrological indicators that are first computed and then combined to provide a global index of alteration. The procedure, conceptually derived from the Range of Variability Approach (RVA), is applied and tested on two Sicilian river basins (Italy) subject to anthropogenic influence. Streamflow regime for both the basins results differently disturbed by upstream human pressures. An alteration index is computed using available observations as “post-impact” monthly flow time-series, while time-series relative to “pre-impact” conditions have been reconstructed by the Tri.Mo.Ti.S. model, an innovative monthly and high-performing regional regressive hydrological model. The methodology, easily transferable to other regions, has revealed particularly efficacious in identifying and quantifying the existing human pressures and can be considered as a suitable tool for water resource management and policy planning activities.

Suggested Citation

  • Dario Pumo & Antonio Francipane & Marcella Cannarozzo & Chiara Antinoro & Leonardo Valerio Noto, 2018. "Monthly Hydrological Indicators to Assess Possible Alterations on Rivers’ Flow Regime," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(11), pages 3687-3706, September.
  • Handle: RePEc:spr:waterr:v:32:y:2018:i:11:d:10.1007_s11269-018-2013-6
    DOI: 10.1007/s11269-018-2013-6
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    Citations

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    Cited by:

    1. Ina Pohle & Anne Gädeke & Sabine Schümberg & Christoph Hinz & Hagen Koch, 2019. "Management Influences on Stream-Flow Variability in the Past and Under Potential Climate Change in a Central European Mining Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(15), pages 5191-5206, December.
    2. Melissa Nogueira Sondermann & Rodrigo Proença Oliveira, 2021. "A Shared Vision on the Transboundary Water Management Challenges of the Tagus River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(13), pages 4647-4664, October.
    3. Xiaoming Guo & Lukai Xu & Lei Su & Yu Deng & Chaohui Yang, 2021. "Comparing Flow Duration Curves and Discharge Hydrographs to Assess Eco-flows," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 4681-4693, November.

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