On the utilization of hydrological modelling for road drainage design under climate and land use change
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Kalantari, Zahra
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Briel, Annemarie
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Royal Inst Technol KTH, Dept Land & Water Resources, SE-10044 Stockholm, SwedenRoyal Inst Technol KTH, Dept Land & Water Resources, SE-10044 Stockholm, Sweden
Briel, Annemarie
[1
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Lyon, Steve W.
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Stockholm Univ, Dept Phys Geog & Quaternary Geol, SE-10691 Stockholm, SwedenRoyal Inst Technol KTH, Dept Land & Water Resources, SE-10044 Stockholm, Sweden
Lyon, Steve W.
[2
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Olofsson, Bo
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Folkeson, Lennart
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Royal Inst Technol KTH, Dept Land & Water Resources, SE-10044 Stockholm, SwedenRoyal Inst Technol KTH, Dept Land & Water Resources, SE-10044 Stockholm, Sweden
Folkeson, Lennart
[1
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[1] Royal Inst Technol KTH, Dept Land & Water Resources, SE-10044 Stockholm, Sweden
[2] Stockholm Univ, Dept Phys Geog & Quaternary Geol, SE-10691 Stockholm, Sweden
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. (C) 2014 Elsevier B.V. All rights reserved.
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Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
Chen, Qihui
Chen, Hua
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Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
Chen, Hua
Wang, Jinxing
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Minist Water Resources Peoples Republ China, Hydrol Monitor & Forecast Ctr, Informat Ctr, Beijing 100053, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
Wang, Jinxing
Zhao, Ying
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Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
Zhao, Ying
Chen, Jie
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Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
Chen, Jie
Xu, Chongyu
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Univ Oslo, Dept Geosci, POB 1047, N-0316 Oslo, NorwayWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
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Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Jia, Li
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Menenti, Massimo
Zheng, Chaolei
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Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Zheng, Chaolei
Zeng, Yelong
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Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Univ Chinese Acad Sci, Beijing 100045, Peoples R ChinaChinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Zeng, Yelong
Barnieh, Beatrice Asenso
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Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Univ Energy & Nat Resources, Earth Observat Res & Innovat Ctr EORIC, POB 214, Sunyani, GhanaChinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Barnieh, Beatrice Asenso
Jiang, Min
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Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
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Dr S&S S Ghandhy Govt Engn Coll, Dept Civil Engn, Surat 395008, Gujarat, IndiaNatl Inst Technol Raipur, Dept Civil Engn, Raipur 492010, Chhattisgarh, India
Mehta, Darshan
Azamathulla, Hazi Md
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Univ West Indies, Fac Engn, Dept Civil Engn, POB 331310, St Augustine, Trinidad TobagoNatl Inst Technol Raipur, Dept Civil Engn, Raipur 492010, Chhattisgarh, India
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Univ Tabriz, Fac Civil Engn, Ctr Excellence Hydroinformat, Tabriz, Iran
Near East Univ, Fac Civil & Environm Engn, Near East Blvd,Via Mersin 10, TR-99138 Nicosia, North Cyprus, TurkeyUniv Tabriz, Fac Civil Engn, Ctr Excellence Hydroinformat, Tabriz, Iran