Hydrological thresholds and basin control over paleoflood records in lakes

Daniel Schillereff, Richard C. Chiverrell, Neil Macdonald, Janet M. Hooke

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)
199 Downloads (Pure)

Abstract

The scarcity of long-term hydrological data is a barrier to reliably determining the likeli-
hood of floods becoming more frequent and/or intense in a warmer world. Lake sediments preserve characteristic event layers, offering the potential to develop widely distributed and unique chronologies of historical floods. Inferring flood magnitude remains a greater chal- lenge, previously overcome in part by analyzing sharply laminated polar or alpine sequences. Here we demonstrate an approach to obtain flood frequency and magnitude data from an unexploited resource, the largely visually homogeneous, organic sediments that typify most temperate lakes. The geochemical composition and end-member modeling of sediment trap and adjacent short core particle size data for Brotherswater (northwest England) discrimi- nates the signature of infrequent, coarse-grained flood deposits from seasonal and longer term allogenic (enhanced discharge and sediment supply during winter) and autogenic (summer productivity, thermal mixing) depositional processes. Comparing the paleoflood reconstruc- tion to local river discharges shows that hydrological thresholds censor event signature pres- ervation, with 4 yr recurrence intervals detectable in delta-proximal sediments declining to 9 yr in the lake center. Event threshold (discharge) and process characterization are essential precursors to discerning flood magnitude from sediment archives. Implementation of our ap- proach in globally prevalent temperate lakes offers a vast, unique repository of long-term hydrological data for hydrologists, climate modelers, engineers, and policy makers addressing future
Original languageEnglish
Pages (from-to)43-46
JournalGEOLOGY
Volume44
Issue number1
Early online dateNov 2015
DOIs
Publication statusPublished - Jan 2016

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