Estimating flash flood discharge in an ungauged mountain catchment with 2D hydraulic models and dendrogeomorphic palaeostage indicators

• DOI: 10.1002/hyp.7888
• Publication Date: 2010-11-10T12:25:41Z
• Authors: J. A. Ballesteros...; M. Eguibar; J. M. Bodoque; A. Díez‐Herrero; M. Stoffel; I. Gutiérrez‐Pérez
• Keywords: Hydraulic structures; INGENIERIA HIDRAULICA; Runoff; Two-dimensional modeling; Flash flood; Hydraulics; Surveying; Trees (mathematics); Catchment; 01 natural sciences; Data Bases; Rivers; Mountains; TLS; Hydraulic models; Seebeck effect; Spanish Central System; Risk assessment; 0105 earth and related environmental sciences; ddc:333.7-333.9; info:eu-repo/classification/ddc/333.7-333.9; Landforms; Peak discharge estimation; Paleohydrology; Palaeoflood; Tree rings; Forestry; Paleoflood; Flood damage; Peak discharge; 15. Life on land; Floods; River discharge; Surveying instruments; 13. Climate action; Electric Discharge; Catchments; Mountain region; Estimation method; Hydrology; Tree ring; Estimation

AbstractThere is still wide uncertainty about past flash‐flood processes in mountain regions owing to the lack of systematic databases on former events. This paper presents a methodology to reconstruct peak discharge of flash floods and illustrates a case in an ungauged catchment in the Spanish Central System. The use of dendrogeomorphic evidence (i.e. scars on trees) together with the combined use of a two‐dimensional (2D) numerical hydraulic model and a terrestrial laser scan (TLS) has allowed estimation of peak discharge of a recent flash flood. The size and height distribution of scars observed in the field have been used to define three hypothetical scenarios (Smin or minimum scenario; Smed or medium scenario; and Smax or maximum scenario), thus illustrating the uncertainty involved in peak‐discharge estimation of flash floods in ungauged torrents.All scars analysed with dendrogeomorphic techniques stem from a large flash flood which took place on 17 December 1997. On the basis of the scenarios, peak discharge is estimated to 79 ± 14 m3 s−1. The average deviation obtained between flood stage and expected scar height was − 0·09 ± 0·53 m. From the data, it becomes obvious that the geomorphic position of trees is the main factor controlling deviation rate. In this sense, scars with minimum deviation were located on trees growing in exposed locations, especially on unruffled bedrock where the model predicts higher specific kinetic energy. The approach used in this study demonstrates the potential of tree‐ring analysis in palaeohydrology and for flood‐risk assessment in catchments with vulnerable goods and infrastructure. Copyright © 2010 John Wiley & Sons, Ltd.