Distributed whole city water level measurements from the Carlisle 2005 urban flood event and comparison with hydraulic model simulations

Neal, Jeffrey; Bates, Paul; Fewtrell, Timothy; Hunter, Neil; Wilson, Matthew; Horritt, M. S.

doi:10.1016/j.jhydrol.2009.01.026

Cited by 175 publications

(221 citation statements)

References 23 publications

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“…Among alternatives to evaluate the model's performance distributedly, are the use of post-flood field survey data (Aronica et al, 1998;Hunter et al, 2005;Neal et al, 2009), aerial photos or airborne and spaceborne Synthetic Aperture Radar (SAR) data (Bates and De Roo, 2000;Aronica et al, 2002;Horritt et al, 20 2007; Di Baldassarre et al, 2009a). Especially, radar, with its day, night and cloud penetrating capacity, is a promising technology for supporting flood inundation modelling (Bates, 2004;Montanari et al, 2009;Schumann et al, 2009b;Tarpanelli et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Impact of the timing of a SAR image acquisition on the calibration of a flood inundation model

Gobeyn

Wesemael

Neal

et al. 2017

Advances in Water Resources

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Section: Introductionmentioning

confidence: 99%

Impact of the timing of a SAR image acquisition on the calibration of a flood inundation model

Gobeyn

Wesemael

Neal

et al. 2017

Advances in Water Resources

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“…This has been used to represent high resolution features such as buildings in urban areas (Yu and Lane, 2006a;McMillan and Brasington, 2007;Fewtrell et al, 2008;Neal et al, 2009) and vegetation . This takes advantage of the large increase in the availability of high resolution topography with the development of LiDAR.…”

Section: Numerical Modelling Methodology For Downscalingmentioning

confidence: 99%

“…The RMSE value for the model with full storage is ±0.28m, which is well within the performance of other comparable hydraulic models in the literature. For example Neal et al, (2009) Table 5.7…”

Section: Model Developmentmentioning

confidence: 99%

Rural land management impacts on catchment scale flood risk

Pattison¹

2010

Role of Hydrology in Managing Consequences of a Changing Global Environment

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The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source• a link is made to the metadata record in Durham E-Theses• the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full Durham E-Theses policy for further details. Most approaches to this problem aim to upscale from individual grid cells to whole catchments, something that restricts the complexity of possible process representation, produces models that may not be parsimonious with the data needed to calibrate them and, faced with data uncertainties, provides computational limitations on the extent to which model uncertainty can be fully explored. Rather than upscaling to problems of concern, this thesis seeks to downscale from locations of known flood risk, as a means of identifying where land use management changes might be beneficial and then uses numerical modelling to identify the kinds of management changes required in those downscaled locations. Thus, the aim of this thesis is to test an approach to understanding the impacts of rural land management upon flood risk based upon catchment-to-source downscaling.This thesis uses the case study of the River Eden catchment (2400 km 2 ) as a test (1) it was shown to have a significant impact on downstream flood risk; and (2) it had range of data and information needed for modelling land use changes.The second part of this thesis explored the land management scenarios that could be used to reduce flood risk at the catchment scale. The scenarios to be tested were determined through a stakeholder participation approach, whereby workshops were held to brainstorm and prioritise land management options, and then to identify specific locations within the Eamont sub-catchment where they could tested. There were two main types of land management scenarios chosen: (1) landscape-scale changes, including afforestation and compaction; and (2) corresponding to a 5.8% decrease in peak discharge. A key conclusion is that land management practices have been shown to have an effect on catchment scale flooding, even for extreme flood events. However, the effect of land management scenarios are both spatially and temporally dependent i.e. the same land management practice has different effects depending on where it is implemented, and when implemented in the same location has different effects on different flood events.

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“…Geospatial sciences, including geomatics and geostatistics, provide a wide set of tools that permit detection of water systems, such as rivers, and allow implementing models and processing procedures for the analysis of such resources. A wide range of river science topics and management applications has benefited from the use of satellite data, including river restoration [4][5][6][7], aquatic habitats characterization [8][9][10][11][12], understanding biodiversity and ecosystem functioning of riverine environments [12][13][14][15], hazard mapping and river management at the catchment scale [16][17][18], as well as mapping of morphological changes [19][20][21]. In addition, river studies can take advantage of the use of Digital Elevation Models (DEMs) and aerial orthophotos [11,17,22], where a more detailed dataset generally corresponds to a reduction of the covered area.…”

Section: Introductionmentioning

confidence: 99%

Multi-Temporal Image Analysis for Fluvial Morphological Characterization with Application to Albanian Rivers

Spada

Molinari

Bertoldi

et al. 2018

IJGI

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Abstract:A procedure for the characterization of the temporal evolution of river morphology is presented. Wet and active river channels are obtained from the processing of imagery datasets. Information about channel widths and active channel surface subdivision in water, vegetation and gravel coverage classes are evaluated along with channel centerline lengths and sinuosity indices. The analysis is carried out on a series of optical remotely-sensed imagery acquired by different satellite missions during the time period between 1968 and 2017. Data from the CORONA, LANDSAT and Sentinel-2 missions were considered. Besides satellite imagery, a digital elevation model and aerial ortho-photos were also used. The procedure was applied to three, highly dynamic, Albanian rivers: Shkumbin, Seman and Vjosë, showing a high potential for application in contexts with limitations in ground data availability. The results of the procedure were assessed against reference data produced by means of expert interpretation of a reference set of river reaches. The results differ from reference values by just a few percentage points (<6%). The time evolution of hydromorphological parameters is well characterized, and the results support the design of future studies aimed at the understanding of the relations between climatic and anthropogenic controls and the response of river morphological trajectories. Moreover, the high spatial and temporal resolution of the Sentinel-2 mission motivates the development of an automatic monitoring system based on a rolling application of the defined procedure.

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Distributed whole city water level measurements from the Carlisle 2005 urban flood event and comparison with hydraulic model simulations

Cited by 175 publications

References 23 publications

Impact of the timing of a SAR image acquisition on the calibration of a flood inundation model

Impact of the timing of a SAR image acquisition on the calibration of a flood inundation model

Rural land management impacts on catchment scale flood risk

Multi-Temporal Image Analysis for Fluvial Morphological Characterization with Application to Albanian Rivers

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