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

Dario Pumo (), Antonio Francipane (), Marcella Cannarozzo (), Chiara Antinoro () and Leonardo Valerio Noto ()
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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

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2018, vol. 32, issue 11, No 9, 3687-3706

Abstract: 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.

Keywords: Hydrological change; Dam impacts; Flow regime alteration; Hydrological indicators; IARI; IHA (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11269-018-2013-6

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