Annual flow duration curves assessment in ephemeral small basins

Dario Pumo, Leonardo Noto, Goffredo La Loggia, Francesco Viola, Noto, Francesco Viola, La Loggia, Dario Pumo

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)

Abstract

Flow duration curve (FDC) represents a comprehensive signature of temporal runoff variability often used to synthesize catchment rainfall-runoff responses. A new model, the ModABa (MODel for Annual flow duration curves assessment in ephemeral small BAsins), is here introduced. It can be thought as a wide mosaic whose tesserae are frameworks, models or conceptual schemes separately developed in different studies and harmoniously interconnected with the final aim of reproducing the annual FDC in intermittent small catchments. Two separated seasons within the hydrological year are distinguished: a dry season, characterized by absence of streamflow, and a non-zero season. Streamflow is disaggregated into a subsurface component and a surface component that, in turn, is considered formed by two different contributions: impervious runoff and surface runoff from permeable areas induced by heavy rains. The FDCs of the two streamflow components are first separately and differently computed, and then combined to obtain the non-zero FDC. This last, together with the estimated probability of null streamflow, allows the annual FDC assessment through the theory of total probability. The ModABa is here tested on a small Italian catchment and the results show how the model, once calibrated, is able to accurately reproduce the empirical FDC for the analyzed case, starting from easily derivable parameters and commonly available climatic data. In this sense, the model reveals itself as a valid tool, potentially suitable for predictions at ungauged basins in a regionalization framework.
Original languageEnglish
Pages (from-to)258-270
Number of pages13
JournalJournal of Hydrology
Volume519
Publication statusPublished - 2014

All Science Journal Classification (ASJC) codes

  • Water Science and Technology

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