Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.153
IF5.153
IF 5-year value: 5.460
IF 5-year
5.460
CiteScore value: 7.8
CiteScore
7.8
SNIP value: 1.623
SNIP1.623
IPP value: 4.91
IPP4.91
SJR value: 2.092
SJR2.092
Scimago H <br class='widget-line-break'>index value: 123
Scimago H
index
123
h5-index value: 65
h5-index65
Preprints
https://doi.org/10.5194/hess-2020-296
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-2020-296
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  31 Jul 2020

31 Jul 2020

Review status
This preprint is currently under review for the journal HESS.

User-oriented hydrological indices for early warning system. Validation using post-event surveys: flood case studies on the Central Apennines District

Annalina Lombardi1, Valentina Colaiuda1,2, Marco Verdecchia2, and Barbara Tomassetti1 Annalina Lombardi et al.
  • 1CETEMPS, Centre of Excellence University of L'Aquila, via Vetoio, 67010 Coppito (L'Aquila), Italy
  • 2Department of Physical and Chemical Sciences, University of L'Aquila, via Vetoio, 67010 Coppito (L'Aquila), Italy

Abstract. Flood and flash floods are complex events, depending on weather dynamics, basin physiographical characteristics, land use cover and water management. For this reason, prediction of such events usually deals with very accurate model tuning and validation, which is usually site-specific and based on climatological data, such as discharge time series or flood databases. In this work, we developed and tested two hydrological stress indices for flood detection in the Central Italy Apennine District: a heterogeneous geographical area, characterized by complex topography and medium-to-small catchment extension. Proposed indices are threshold-based and developed taking into account operational requirements of civil protection end-users. They are calibrated and tested through the application of signal theory, in order to overcome data scarcity over ungauged areas, as well as incomplete discharge time series. The validation has been carried out on a case study basis, through the use of flood reports from various source of information, as well as hydrometric level time series, which represent the actual hydrological quantity monitored by civil protection operators. Obtained results shows as the overall accuracy of flood prediction is greater than 0.8, with false alarm rates below 0.5 and probability of detection ranging from 0.51 to 0.80. A slight anticipation of peak occurrence was found, however, the time shift of indices signal peak it is strongly dependent on the presence of dams that regulates the flood propagation. Moreover, the different nature of the proposed indices suggests their application in a complementary way, as the index based on drained precipitation appears to be more sensible to rapid flood propagation in small tributaries, while the discharge-based index is particularly responsive to main channel dynamics.

Annalina Lombardi et al.

Interactive discussion

Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Login for Authors/Editors] [Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement

Annalina Lombardi et al.

Annalina Lombardi et al.

Viewed

Total article views: 279 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
211 63 5 279 16 1 1
  • HTML: 211
  • PDF: 63
  • XML: 5
  • Total: 279
  • Supplement: 16
  • BibTeX: 1
  • EndNote: 1
Views and downloads (calculated since 31 Jul 2020)
Cumulative views and downloads (calculated since 31 Jul 2020)

Viewed (geographical distribution)

Total article views: 203 (including HTML, PDF, and XML) Thereof 202 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 22 Oct 2020
Publications Copernicus
Download
Short summary
The paper presents a modelling approach for the assessment of extremes in hydrological cycle at multi-catchment scale. It describes two new hydrological stress indices, as innovative instrument thought to be used by civil protection operators, for the flood mapping in early warning system. Proposed tool and its validation resulted from the integration between different sectors.
The paper presents a modelling approach for the assessment of extremes in hydrological cycle at...
Citation