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Predicting locations sensitive to flash flooding along forest roads considering physical catchment descriptors
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Land and Water Resources Engineering.ORCID iD: 0000-0002-0378-837X
2013 (English)In: Comprehensive Flood Risk Management: Research for Policy and Practice, Taylor & Francis Group, London, 2013, 215-222 p.Conference paper, Published paper (Refereed)
Abstract [en]

Roads influence the hydrologic response of a watershed as they affect the water regime.This is important especially during extreme precipitation events in critical spots of roads and watersheds.This study suggests a method to analyze watershed characteristics and road descriptors, so-called PhysicalCatchment Descriptors (PCDs), for prediction of flood risk along roads. The method was developed andtested in a Geographical Information System using topographical, geological and road data from an areain W Sweden having experienced severe road flooding during an intensive rain event.The results show that there are two categories of intrinsic descriptors which are useful for prediction of criticalspots prone to flooding along roads in a watershed: (a) watershed-related descriptors and (b) road-relateddescriptors. Analysis of superimposed combinations of these two categories of descriptors can be used foridentification and pre-evaluation of critical spots with high risk of flooding in watersheds containing roads.

Place, publisher, year, edition, pages
Taylor & Francis Group, London, 2013. 215-222 p.
Keyword [en]
physical catchment descriptors; road hydrology; flooding; road geomorphology; GIS
National Category
Environmental Management
Research subject
Land and Water Resources Engineering
Identifiers
URN: urn:nbn:se:kth:diva-141352ISBN: 978-0-415-62144-1 (print)OAI: oai:DiVA.org:kth-141352DiVA: diva2:696439
Conference
Frans Klijn & Timo Schweckendiek
Note

QC 20140225

Available from: 2014-02-13 Created: 2014-02-13 Last updated: 2014-02-25Bibliographically approved
In thesis
1. The role of roads on hydrological response: Modeling and assessment for Swedish watersheds
Open this publication in new window or tab >>The role of roads on hydrological response: Modeling and assessment for Swedish watersheds
2014 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Understanding the role of road networks in alteration of hydrological responses is crucial for maintaining the accessibility and durability of road infrastructures. Road construction is one of the most common man made disturbances to a landscape. However, still the quantitative role of road topographical and geo-morphological properties on the hydrological response

of storms in catchments is only partially understood. The aim of this study was to use new methods to estimate and quantify the flood hazard probability with reference to the most influential physical catchment descriptors and road characteristics. In addition physical based modelling was used to estimate the effect of road topography on the hydrological responses of watersheds to storms with different intensities. A simple method was developed and discussed to address the most susceptible locations to flooding along the roads. Multivariate statistical analysis (PLS) employed to quantify the flood risk probability in the road-stream crossings concerning the correlation between the quantities of the physical catchment descriptors and occurrence/absence of flooding. The most influential factors in describing the probability of flooding along the roads were topographic wetness index, soil properties, road density and channel slopes. A detailed study of simulated flow duration curves showed differences between 20 watersheds for three different storms based on a digital elevation data with and without roads. An increase in peak flow and reduced delay occurred with increased storm intensity. However, the impact of the roads was much smaller and only possible to identify by detailed examination of statistical descriptors.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2014. x, 33 p.
Series
TRITA-LWR. LIC, ISSN 1650-8629 ; 3024:02
Keyword
GIS, Roads, Flooding, HEC-HMS, Sweden
National Category
Environmental Management
Research subject
Land and Water Resources Engineering
Identifiers
urn:nbn:se:kth:diva-141354 (URN)978-91-7595-026-6 (ISBN)
Presentation
2014-02-25, Lecture room V3, Teknikringen 72, KTH, Stockholm, 13:15 (English)
Opponent
Supervisors
Note

QC 20140214

Available from: 2014-02-14 Created: 2014-02-13 Last updated: 2014-02-14Bibliographically approved

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Nickman, Alireza

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