Literature DB >> 24480630

On the utilization of hydrological modelling for road drainage design under climate and land use change.

Zahra Kalantari1, Annemarie Briel2, Steve W Lyon3, Bo Olofsson4, Lennart Folkeson5.   

Abstract

Road drainage structures are often designed using methods that do not consider process-based representations of a landscape's hydrological response. This may create inadequately sized structures as coupled land cover and climate changes can lead to an amplified hydrological response. This study aims to quantify potential increases of runoff in response to future extreme rain events in a 61 km(2) catchment (40% forested) in southwest Sweden using a physically-based hydrological modelling approach. We simulate peak discharge and water level (stage) at two types of pipe bridges and one culvert, both of which are commonly used at Swedish road/stream intersections, under combined forest clear-cutting and future climate scenarios for 2050 and 2100. The frequency of changes in peak flow and water level varies with time (seasonality) and storm size. These changes indicate that the magnitude of peak flow and the runoff response are highly correlated to season rather than storm size. In all scenarios considered, the dimensions of the current culvert are insufficient to handle the increase in water level estimated using a physically-based modelling approach. It also appears that the water level at the pipe bridges changes differently depending on the size and timing of the storm events. The findings of the present study and the approach put forward should be considered when planning investigations on and maintenance for areas at risk of high water flows. In addition, the research highlights the utility of physically-based hydrological models to identify the appropriateness of road drainage structure dimensioning.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Clear-cutting; Extreme storm events; MIKE SHE; Road infrastructure dimensioning; Runoff

Mesh:

Year:  2014        PMID: 24480630     DOI: 10.1016/j.scitotenv.2013.12.114

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  Natural Hazard Susceptibility Assessment for Road Planning Using Spatial Multi-Criteria Analysis.

Authors:  Caroline S J Karlsson; Zahra Kalantari; Ulla Mörtberg; Bo Olofsson; Steve W Lyon
Journal:  Environ Manage       Date:  2017-08-18       Impact factor: 3.266

2.  Non-stationary analysis for road drainage design under land-use and climate change scenarios.

Authors:  Mónica Jiménez-U; Luis E Peña; Jesús López
Journal:  Heliyon       Date:  2022-02-16

3.  A Framework for Identification, Assessment and Prioritization of Climate Change Adaptation Measures for Roads and Railways.

Authors:  Yvonne Andersson-Sköld; Lina Nordin; Erik Nyberg; Mikael Johannesson
Journal:  Int J Environ Res Public Health       Date:  2021-11-23       Impact factor: 3.390

  3 in total

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