In situ reconstruction of long-term extreme flooding magnitudes and frequencies based on geological archives

Li, Y; Huang, C; Ngo, HH; Pang, J; Zha, X; Liu, T; Guo, W

In situ reconstruction of long-term extreme flooding magnitudes and frequencies based on geological archives

Li, Y Huang, C Ngo, HH

Pang, J Zha, X Liu, T Guo, W

Permalink

Publication Type:: Journal Article
Citation:: Science of the Total Environment, 2019, 670 pp. 8 - 17
Issue Date:: 2019-06-20

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Accepted ManuscriptAdobe PDF (1.68 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Li, Y	en_US
dc.contributor.author	Huang, C	en_US
dc.contributor.author	Ngo, HH https://orcid.org/0000-0002-0296-2866	en_US
dc.contributor.author	Pang, J	en_US
dc.contributor.author	Zha, X	en_US
dc.contributor.author	Liu, T	en_US
dc.contributor.author	Guo, W https://orcid.org/0000-0001-5542-2858	en_US
dc.date.available	2021-08-12T19:01:01Z
dc.date.issued	2019-06-20	en_US
dc.identifier.citation	Science of the Total Environment, 2019, 670 pp. 8 - 17	en_US
dc.identifier.issn	0048-9697	en_US
dc.identifier.uri	http://hdl.handle.net/10453/135203
dc.description.abstract	© 2019 Extreme flooding magnitudes and frequencies are essentially related to assessment of risk and reliability in hydrological design. Extreme flooding and its discharge are highly sensitive to regional climate change. Presently, its discharge can be reconstructed by a geological archive or record along the river valley. Two units of typical extreme flooding deposits (EFDs) carrying long-term information preserved in the Holocene loess–palaeosol sequence were found at Xipocun (XPC), which is located in Chengcheng County, China. It is situated in the downstream section of the Beiluohe (hereafter BLH) River. Based on multiple sedimentary proxy indices (grain-size distribution (GSD), magnetic susceptibility (MS), and loss-on-ignition (LOI), etc.), EFDs were interpreted as well-sorted clayey silt in suspension. They were then deposited as a result of riverbank flooding in a stagnant environment during high water level. Through the Optically Stimulated Luminescence (OSL) dating technique and stratigraphic correlations, chronologies of two identified extreme flooding periods were 7600–7400 a B.P. and 3200–3000 a B.P. Two phases of extreme flooding occurrence under climate abnormality scenarios were characterized as having high frequencies of hydrological extremes in river systems. According to simulation and verification using the Slope–Area Method and Hydrologic Engineering Center's River Analysis System (HEC-RAS) model, the extreme flooding discharges at the XPC site were reconstructed between 9625 m 3 /s and 16,635 m 3 /s. A new long-term flooding frequency and peak discharge curve, involved gauged flooding, historical flooding at Zhuangtou station and in situ reconstructed extreme flooding events, was established for the downstream BLH River. The results improve the accuracy of low-frequency flooding risk assessment and provide evidence for predicting the response of fluvial systems to climate instability. Thus, this improves the analysis of the BLH River watershed.	en_US
dc.relation.ispartof	Science of the Total Environment	en_US
dc.relation.isbasedon	10.1016/j.scitotenv.2019.03.066	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject.classification	Environmental Sciences	en_US
dc.title	In situ reconstruction of long-term extreme flooding magnitudes and frequencies based on geological archives	en_US
dc.type	Journal Article
utslib.citation.volume	670	en_US
utslib.for	0406 Physical Geography and Environmental Geoscience	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	670	en_US

Abstract:

© 2019 Extreme flooding magnitudes and frequencies are essentially related to assessment of risk and reliability in hydrological design. Extreme flooding and its discharge are highly sensitive to regional climate change. Presently, its discharge can be reconstructed by a geological archive or record along the river valley. Two units of typical extreme flooding deposits (EFDs) carrying long-term information preserved in the Holocene loess–palaeosol sequence were found at Xipocun (XPC), which is located in Chengcheng County, China. It is situated in the downstream section of the Beiluohe (hereafter BLH) River. Based on multiple sedimentary proxy indices (grain-size distribution (GSD), magnetic susceptibility (MS), and loss-on-ignition (LOI), etc.), EFDs were interpreted as well-sorted clayey silt in suspension. They were then deposited as a result of riverbank flooding in a stagnant environment during high water level. Through the Optically Stimulated Luminescence (OSL) dating technique and stratigraphic correlations, chronologies of two identified extreme flooding periods were 7600–7400 a B.P. and 3200–3000 a B.P. Two phases of extreme flooding occurrence under climate abnormality scenarios were characterized as having high frequencies of hydrological extremes in river systems. According to simulation and verification using the Slope–Area Method and Hydrologic Engineering Center's River Analysis System (HEC-RAS) model, the extreme flooding discharges at the XPC site were reconstructed between 9625 m 3 /s and 16,635 m 3 /s. A new long-term flooding frequency and peak discharge curve, involved gauged flooding, historical flooding at Zhuangtou station and in situ reconstructed extreme flooding events, was established for the downstream BLH River. The results improve the accuracy of low-frequency flooding risk assessment and provide evidence for predicting the response of fluvial systems to climate instability. Thus, this improves the analysis of the BLH River watershed.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/135203