scholarly journals National flood modelling for insurance purposes: using IFSAR for flood risk estimation in Europe

2005 ◽  
Vol 9 (4) ◽  
pp. 449-456 ◽  
Author(s):  
R. Sanders ◽  
F. Shaw ◽  
H. MacKay ◽  
H. Galy ◽  
M. Foote
Keyword(s):  
Flood Risk ◽  
Information Needs ◽  
Risk Estimation ◽  
Risk Identification ◽  
Flood Events ◽  
Digital Terrain ◽  
Terrain Models ◽  
Future Events ◽  
Potential Benefits ◽  
The Uk

Abstract. Flood risk poses a major problem for insurers and governments who ultimately pay the financial costs of losses resulting from flood events. Insurers therefore face the problem of how to assess their exposure to floods and how best to price the flood element of their insurance products. This paper looks at the insurance implications of recent flood events in Europe and the issues surrounding insurance of potential future events. In particular, the paper will focus on the flood risk information needs of insurers and how these can be met. The data requirements of national and regional flood models are addressed in the context of the accuracy of available data on property location. Terrain information is generally the weakest component of sophisticated flood models. Therefore, various sources of digital terrain models (DTM) are examined and discussed with consideration of the vertical and horizontal accuracy, the speed of acquisition, the costs and the comprehensiveness of the data. The NEXTMap DTM series from Intermap Technologies Inc. is proposed as a suitable DTM for flood risk identification and mapping, following its use in the UK. Its acquisition, processing and application is described and future plans discussed. Examples are included of the application of flood information to insurance property information and the potential benefits and advantages of using suitable hazard modelling data sources are detailed.

scholarly journals ASSESSING FLOOD IMPACTS IN RURAL COASTAL COMMUNITIES USING LIDAR

2016 ◽  
Vol XLI-B8 ◽  
pp. 1135-1139
Author(s):  
E. S. Johnson
Keyword(s):  
Storm Surges ◽  
Coastal Communities ◽  
Lidar Data ◽  
Storm Events ◽  
Flood Events ◽  
Flood Impacts ◽  
Digital Terrain ◽  
Terrain Models ◽  
Surface Models ◽  
Coastal Residents

Coastal communities are vulnerable to floods from storm events which are further exacerbated by storm surges. Additionally, coastal towns provide specific challenges during flood events as many coastal communities are peninsular and vulnerable to inundation of road access points. Publicly available lidar data has been used to model areas of inundation and resulting flood impacts on road networks. However, these models may overestimate areas that are inaccessible as they rely on publicly available Digital Terrain Models. Through incorporation of Digital Surface Models to estimate bridge height, a more accurate model of flood impacts on rural coastal residents can be estimated.

scholarly journals The floods of December 2015 in northern England: description of the events and possible implications for flood hydrology in the UK

2017 ◽  
Vol 49 (2) ◽  
pp. 568-596 ◽  
Author(s):  
Peter Spencer ◽  
Duncan Faulkner ◽  
Ian Perkins ◽  
David Lindsay ◽  
Guy Dixon ◽  
...  
Keyword(s):  
Extreme Events ◽  
Flood Risk ◽  
River Flow ◽  
Peak Flow ◽  
Future Research ◽  
Flood Events ◽  
Design Flood ◽  
Historical Events ◽  
The Uk ◽  
Flooding Events

Abstract In December 2015, northern England experienced two major flooding events with extreme, even in some locations unprecedented, rainfalls and flooding. New 24-, 36-, and 48-hour UK rainfall records were created of 341.4, 401.4, and 405.2 mm, respectively. Three river-flow gauging stations, with flows of around 1,700 m3/s exceeded the previous peak flow record for England and Wales. There was widespread flooding, including major towns and cities, some of which had recent flood alleviation schemes. In Cumbria, the flood events in 2005, 2009 and 2015 compared with previous and historical events raise questions about the stationarity of the flood data and flood-producing mechanisms. These possible effects are less apparent elsewhere in northern England. This paper discusses whether present methods of estimating flood risk are able to cope with such extreme events and suggests topics for future research. In the meantime, for studies where flood estimates are important, practical hydrologists are faced with the difficult task of producing design flood estimates which fit with our understanding of these events.

scholarly journals An updated national-scale assessment of trends in UK peak river flow data: how robust are observed increases in flooding?

2021 ◽  
Author(s):  
J. Hannaford ◽  
N. Mastrantonas ◽  
G. Vesuviano ◽  
S. Turner
Keyword(s):  
Flood Risk ◽  
River Flow ◽  
Time Window ◽  
Risk Estimation ◽  
National Scale ◽  
Human Disturbances ◽  
Data Limitations ◽  
Wide Range ◽  
Flood Magnitude ◽  
The Uk

Abstract A cluster of recent floods in the UK has prompted significant interest in the question of whether floods are becoming more frequent or severe over time. Many trend assessments have addressed this in recent decades, typically concluding that there is evidence for positive trends in flood magnitude at the national scale. However, trend testing is a contentious area, and the resilience of such conclusions must be tested rigorously. Here, we provide a comprehensive assessment of flood magnitude trends using the UK national flood dataset (NRFA Peak Flows). Importantly, we assess trends using this full dataset as well as a subset of near-natural catchments with high-quality flood data to determine how climate-driven trends compare with those from the wider dataset that are subject to a wide range of human disturbances and data limitations. We also examine the sensitivity of reported trends to changes in study time window using a ‘multitemporal’ analysis. We find that the headline claim of increased flooding generally holds up regionally to nationally, although we show a much more complicated picture of spatio-temporal variability. While some reported trends, such as increasing flooding in northern and western Britain, appear to be robust, trends in other regions are more mixed spatially and temporally – for example, trends in recent decades are not necessarily representative of longer-term change, and within regions (e.g. in southeast England) increasing and decreasing trends can be found in close proximity. While headline conclusions are useful for advancing national flood-risk policy, for flood-risk estimation, it is important to unpack these local changes, and the results and methodological toolkit provided here could provide such supporting information to practitioners.

scholarly journals The Measurement of Mobility-Based Accessibility—The Impact of Floods on Trips of Various Length and Motivation

2019 ◽  
Vol 8 (12) ◽  
pp. 534
Author(s):  
Marta Borowska-Stefańska ◽  
Michał Kowalski ◽  
Szymon Wiśniewski
Keyword(s):  
Flood Risk ◽  
Travel Speed ◽  
External Effects ◽  
The Road ◽  
Digital Terrain ◽  
Terrain Models ◽  
Road Section ◽  
The Impact ◽  
Source Materials ◽  
The Eu

The main purpose of this article was to develop a method of researching accessibility in the event of a flood through the application of measurement based on mobility. In the course of the research, it has been proven that changes in mobility (and the related travel speed) are too significant to be ignored when studying accessibility in unusual circumstances. The vast majority of existing accessibility studies rely primarily on speed models, which – in the event of a flood – do not indicate the external effects of the natural disaster. On the basis of the conducted research it has been stated that the occurrence of a flood has a significant impact on changes in the spatial distribution of traffic and its related speeds. Such changes vary depending on the particular means of transport. With the most commonly applied methods of measuring accessibility, which are customarily based on speed models, the changes we observed would not be recorded. The application of mobility-based research in the analyses of accessibility – especially in the event of a flood – indicates the disaster’s influence on the capacity of the road network, and thus, it allows for more effective flood-risk management. Furthermore, this article also demonstrates the possibility of applying source materials available in most member states of the EU, i.e., flood-risk maps and digital terrain models (NMPT), for the purposes of analysing and identifying road section closures within the transport network after the occurrence of a flood.

scholarly journals ASSESSING FLOOD IMPACTS IN RURAL COASTAL COMMUNITIES USING LIDAR

2016 ◽  
Vol XLI-B8 ◽  
pp. 1135-1139
Author(s):  
E. S. Johnson
Keyword(s):  
Storm Surges ◽  
Coastal Communities ◽  
Lidar Data ◽  
Storm Events ◽  
Flood Events ◽  
Flood Impacts ◽  
Digital Terrain ◽  
Terrain Models ◽  
Surface Models ◽  
Coastal Residents

Coastal communities are vulnerable to floods from storm events which are further exacerbated by storm surges. Additionally, coastal towns provide specific challenges during flood events as many coastal communities are peninsular and vulnerable to inundation of road access points. Publicly available lidar data has been used to model areas of inundation and resulting flood impacts on road networks. However, these models may overestimate areas that are inaccessible as they rely on publicly available Digital Terrain Models. Through incorporation of Digital Surface Models to estimate bridge height, a more accurate model of flood impacts on rural coastal residents can be estimated.

An exploratory study of intangibles risk disclosure in annual reports of banking companies from the UK, US, Germany and Italy - Some descriptive insights

2013 ◽  
pp. 81-120 ◽  
Author(s):  
Susanne Durst
Keyword(s):  
Intellectual Capital ◽  
Exploratory Study ◽  
The United States ◽  
Annual Reports ◽  
Risk Disclosure ◽  
Related Risk ◽  
Potential Benefits ◽  
Report Data ◽  
Key Drivers ◽  
The Uk

Intangibles are viewed as the key drivers in most industries, and current research shows that firms voluntarily disclose information about their investments in intangibles and their potential benefits. Yet little is known of the risks relating to such resources and the disclosures firms make about such risks. In order to obtain a more balanced and complete picture of firms' activities, information about the risky side of their intangibles is also needed. This exploratory study provides some descriptive insights into intangibles-related risk disclosure in a sample of 16 large banks from the United States (US), United Kingdom (UK), Germany and Italy. Annual report data is analyzed using the three Intellectual Capital dimensions. Study findings illustrate the variety of intangibles-related risk disclosure as demonstrated by the banks involved.

scholarly journals Lidar-Based Morphometry of Conical Hills in Temperate Karst Areas in Slovenia

2021 ◽  
Vol 13 (14) ◽  
pp. 2668
Author(s):  
Tamás Telbisz
Keyword(s):  
Empirical Distribution ◽  
Inverse Gaussian ◽  
Digital Terrain ◽  
Terrain Models ◽  
Starting Point ◽  
Significant Difference ◽  
Karst Areas ◽  
Hill Area ◽  
The Hill ◽  
Comprehensive Study

Conical hills, or residual hills, are frequently mentioned landforms in the context of humid tropical karsts as they are dominant surface elements there. Residual hills are also present in temperate karsts, but generally in a less remarkable way. These landforms have not been thoroughly addressed in the literature to date, therefore the present article is the first attempt to morphometrically characterize temperate zone residual karst hills. We use the methods already developed for doline morphometry, and we apply them to the “inverse” topography using LiDAR-based digital terrain models (DTMs) of three Slovenian sample areas. The characteristics of hills and depressions are analysed in parallel, taking into account the rank of the forms. A common feature of hills and dolines is that, for both types, the empirical distribution of planform areas has a strongly positive skew. After logarithmic transformation, these distributions can be approximated by Inverse Gaussian, Normal, and Weibull distributions. Along with the rank, the planform area and vertical extent of the hills and dolines increase similarly. High circularity is characteristic only of the first-rank forms for both dolines and hills. For the sample areas, the the hill area ratios and the doline area ratios have similar values, but the total extent of the hills is slightly larger in each case. A difference between dolines and hills is that the shapes of hills are more similar to one another than those of dolines. The reason for this is that the larger, closed depressions are created by lateral coalescence, while the hills are residual forms carved from large blocks. Another significant difference is that the density of dolines is much higher than that of hills. This article is intended as a methodological starting point for a new topic, aiming at the comprehensive study of residual karst hills across different climatic areas.

scholarly journals IMG2nDSM: Height Estimation from Single Airborne RGB Images with Deep Learning

2021 ◽  
Vol 13 (12) ◽  
pp. 2417
Author(s):  
Savvas Karatsiolis ◽  
Andreas Kamilaris ◽  
Ian Cole
Keyword(s):  
Deep Learning ◽  
State Of The Art ◽  
Aerial Imagery ◽  
Aerial Images ◽  
Surface Model ◽  
Large Area ◽  
Digital Terrain ◽  
Terrain Models ◽  
Architectural Features ◽  
Rgb Images

Estimating the height of buildings and vegetation in single aerial images is a challenging problem. A task-focused Deep Learning (DL) model that combines architectural features from successful DL models (U-NET and Residual Networks) and learns the mapping from a single aerial imagery to a normalized Digital Surface Model (nDSM) was proposed. The model was trained on aerial images whose corresponding DSM and Digital Terrain Models (DTM) were available and was then used to infer the nDSM of images with no elevation information. The model was evaluated with a dataset covering a large area of Manchester, UK, as well as the 2018 IEEE GRSS Data Fusion Contest LiDAR dataset. The results suggest that the proposed DL architecture is suitable for the task and surpasses other state-of-the-art DL approaches by a large margin.

scholarly journals Our Evolving Understanding of ME/CFS

Medicina ◽  
2021 ◽  
Vol 57 (3) ◽  
pp. 200 ◽  
Author(s):  
Kenneth J. Friedman ◽  
Modra Murovska ◽  
Derek F. H. Pheby ◽  
Paweł Zalewski
Keyword(s):  
Active Phase ◽  
Case Definitions ◽  
Diagnostic Laboratory ◽  
Biochemical Pathways ◽  
Patient Organizations ◽  
Clinical Consequences ◽  
Potential Benefits ◽  
Multiple Case ◽  
Use Of The Internet ◽  
The Uk

The potential benefits of the scientific insights gleaned from years of treating ME/CFS for the emerging symptoms of COVID-19, and in particular Longhaul- or Longhauler-COVID-19 are discussed in this opinion article. Longhaul COVID-19 is the current name being given to the long-term sequelae (symptoms lasting beyond 6 weeks) of SARS-CoV-2 infection. Multiple case definitions for ME/CFS exist, but post-exertional malaise (PEM) is currently emerging as the ‘hallmark’ symptom. The inability to identify a unique trigger of ME/CFS, as well as the inability to identify a specific, diagnostic laboratory test, led many physicians to conclude that the illness was psychosomatic or non-existent. However, recent research in the US and the UK, championed by patient organizations and their use of the internet and social media, suggest underlying pathophysiologies, e.g., oxidative stress and mitochondrial dysfunction. The similarity and overlap of ME/CFS and Longhaul COVID-19 symptoms suggest to us similar pathological processes. We put forward a unifying hypothesis that explains the precipitating events such as viral triggers and other documented exposures: For their overlap in symptoms, ME/CFS and Longhaul COVID-19 should be described as Post Active Phase of Infection Syndromes (PAPIS). We further propose that the underlying biochemical pathways and pathophysiological processes of similar symptoms are similar regardless of the initiating trigger. Exploration of the biochemical pathways and pathophysiological processes should yield effective therapies for these conditions and others that may exhibit these symptoms. ME/CFS patients have suffered far too long. Longhaul COVD-19 patients should not be subject to a similar fate. We caution that failure to meet the now combined challenges of ME/CFS and Longhaul COVID-19 will impose serious socioeconomic as well as clinical consequences for patients, the families of patients, and society as a whole.

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