Compound effects of sea level and flow on river-induced flooding in coastal areas of southern Sweden
Inamdeen, Fainaz LU
and Larson, Magnus
LU
(2024)
In Journal of Hydrology: Regional Studies
56.
- Abstract
- Study region: Rönne River, Säve River, and Höje River, Sweden.
Study focus: River-induced flooding in coastal areas results from a multitude of drivers interacting in complex ways. The primary drivers are sea level (SL) and river flow (Q) that often exhibit coherent behavior to be considered in flood risk management. To describe and quantify the compound effects of SL and Q on flooding, a methodology was developed involving hydraulic simulations with long time series of data yielding statistical properties of output quantities such as river water level and flooded areas. Dominance analysis was conducted to quantify the relative influence of SL and Q on river water level along reaches. Also, simplified, empirically based equations were... (More) - Study region: Rönne River, Säve River, and Höje River, Sweden.
Study focus: River-induced flooding in coastal areas results from a multitude of drivers interacting in complex ways. The primary drivers are sea level (SL) and river flow (Q) that often exhibit coherent behavior to be considered in flood risk management. To describe and quantify the compound effects of SL and Q on flooding, a methodology was developed involving hydraulic simulations with long time series of data yielding statistical properties of output quantities such as river water level and flooded areas. Dominance analysis was conducted to quantify the relative influence of SL and Q on river water level along reaches. Also, simplified, empirically based equations were derived to predict the river water level at any location based on SL and Q.
New hydrological insights for the region: The long-term simulations revealed that the relative influence of SL and Q on the river water level changes significantly from the coast to upstream. For example, at the Rönne River, influence of SL decreases from 90 % to 20 % between 1 km and 11 km from the coast. Meanwhile, influence of Q increases from 10 % to 80 % over the same distance. The simplified equations derived to predict the water level can be used by stakeholders to forecast flood events or in risk assessment where many alternatives need to be considered. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/773d0d57-0e91-43d1-9aaa-6ac28304f86b
- author
- Inamdeen, Fainaz
LU
and Larson, Magnus
LU
- organization
- publishing date
- 2024-10-26
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Journal of Hydrology: Regional Studies
- volume
- 56
- article number
- 102032
- pages
- 15 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:85207270695
- ISSN
- 2214-5818
- DOI
- 10.1016/j.ejrh.2024.102032
- project
- EXTREME-INDEX
- Impact of extreme river flows on bridges with special focus on local scour
- language
- English
- LU publication?
- yes
- id
- 773d0d57-0e91-43d1-9aaa-6ac28304f86b
- date added to LUP
- 2024-10-28 13:54:06
- date last changed
- 2025-04-04 15:07:12
@article{773d0d57-0e91-43d1-9aaa-6ac28304f86b,
abstract = {{Study region: Rönne River, Säve River, and Höje River, Sweden. <br/>Study focus: River-induced flooding in coastal areas results from a multitude of drivers interacting in complex ways. The primary drivers are sea level (SL) and river flow (Q) that often exhibit coherent behavior to be considered in flood risk management. To describe and quantify the compound effects of SL and Q on flooding, a methodology was developed involving hydraulic simulations with long time series of data yielding statistical properties of output quantities such as river water level and flooded areas. Dominance analysis was conducted to quantify the relative influence of SL and Q on river water level along reaches. Also, simplified, empirically based equations were derived to predict the river water level at any location based on SL and Q. <br/>New hydrological insights for the region: The long-term simulations revealed that the relative influence of SL and Q on the river water level changes significantly from the coast to upstream. For example, at the Rönne River, influence of SL decreases from 90 % to 20 % between 1 km and 11 km from the coast. Meanwhile, influence of Q increases from 10 % to 80 % over the same distance. The simplified equations derived to predict the water level can be used by stakeholders to forecast flood events or in risk assessment where many alternatives need to be considered.}},
author = {{Inamdeen, Fainaz and Larson, Magnus}},
issn = {{2214-5818}},
language = {{eng}},
month = {{10}},
publisher = {{Elsevier}},
series = {{Journal of Hydrology: Regional Studies}},
title = {{Compound effects of sea level and flow on river-induced flooding in coastal areas of southern Sweden}},
url = {{http://dx.doi.org/10.1016/j.ejrh.2024.102032}},
doi = {{10.1016/j.ejrh.2024.102032}},
volume = {{56}},
year = {{2024}},
}