Smart sensor-based geospatial architecture for dike monitoring

Herlé, Stefan; Becker, Ralf; Blankenbach, Jörg

doi:10.1088/1755-1315/34/1/012014

Cited by 10 publications

(8 citation statements)

References 4 publications

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“…However, new information on the risks of functions is becoming increasingly available through ongoing research (Aguilar-López et al, 2018;Vuik et al, 2018). Furthermore, new techniques are being employed to continuously monitor the dikes in detail (Hanssen and Van Leijen, 2008;Herle et al, 2016) while advances in remote sensing allow for closer monitoring of the state of foreshores (Niedermeier et al, 2005;Friess et al, 2012). As a result, a probabilistic approach towards functions can capitalise on these advances by updating the previously assumed risks in assessments with observations of the actual performance of MFFDs over time.…”

Section: Discussionmentioning

confidence: 99%

Re-evaluating safety risks of multifunctional dikes with a probabilistic risk framework

Marijnissen¹,

Kok²,

Kroeze³

et al. 2018

Preprint

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Abstract. Multifunctional use of flood defences is often seen as a disadvantage for flood protection. Safety assessments of multifunctional dikes only require functions do not negatively affect safety but leave potential synergies untapped. This study synthesizes the new probabilistic approaches to evaluate the safety of multifunctional flood defences employed in the Netherlands after the introduction of the new Water Act and explores how this affects the assessed risk of flooding. While a traditional conservative approach does lead to safe assessments, a probabilistic approach assesses a higher protection level of the dike. Positive contributions of functions to safety can be included in a probabilistic approach even when in a critical state there is a negative contribution to safety. In a probabilistic approach the probability of such scenarios is made explicit. Multifunctional flood defences thereby are more safe than is expected from conservative assessments only.

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Section: Discussionmentioning

confidence: 99%

Re-evaluating safety risks of multifunctional dikes with a probabilistic risk framework

Marijnissen¹,

Kok²,

Kroeze³

et al. 2018

Preprint

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“…By 2100, 168 million peo-ple per year will experience floods due to sea-level rise. By reinforcing dikes this number can already be reduced by a factor of 461 (Hinkel et al, 2013).While reinforcing dike systems, there is plenty of opportunity to enable multifunctional use of the flood defence.…”

Section: Aimmentioning

confidence: 99%

“…However, new information on the interaction between multifunctional uses and failure mechanisms is becoming increasingly available through ongoing research (Aguilar-López et al, 2018;Vuik et al, 2018). Furthermore, new techniques are being employed to continuously monitor the dikes in detail (Hanssen and van Leijen, 2008;Herle et al, 2016), while advances in remote sensing allow for closer monitoring of the state of foreshores (Niedermeier et al, 2005;Friess et al, 2012). As a result, a probabilistic approach towards multifunctional elements can capitalize on these advances by updating the previously assumed risks in assessments with observations of the actual performance of MFFDs over time.…”

Section: Assessmentsmentioning

confidence: 99%

Re-evaluating safety risks of multifunctional dikes with a probabilistic risk framework

Marijnissen

Kok

Kroeze

et al. 2019

Nat. Hazards Earth Syst. Sci.

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Abstract. It is not uncommon for a flood defence to be combined with other societal uses as a multifunctional flood defence, from housing in urban areas to nature conservation in rural areas. The assessment of the safety of multifunctional flood defences is often done using conservative estimates. This study synthesizes new probabilistic approaches to evaluate the safety of multifunctional flood defences employed in the Netherlands and explores the results of these approaches. In this paper a case representing a typical Dutch river dike combining a flood safety function with a nature and housing function is assessed by its probability of failure for multiple reinforcement strategies considering multiple relevant failure mechanisms. Results show how the conservative estimates of multifunctional flood defences lead to a systematic underestimation of the reliability of these dikes. Furthermore, in a probabilistic assessment uncertainties introduced by multifunctional elements affect the level of safety of the dike proportional to the reliability of the dike itself. Hence, dikes with higher protection levels are more suitable to be combined with potentially harmful uses for safety, whereas dikes with low protection levels can benefit most from uses that contribute to safety.

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“…Earthquakes can have a bigger impact if they affect some human structures like a dike or a nuclear power plant. Herle and others [27] simulate many dangerous events for calculating the risk of a dike failure. In their simulation, they use a protocol called message queue telemetry transport (MQTT) that is a lightweight IoT transmission protocol.…”

Section: Earthquakesmentioning

confidence: 99%

The Internet of Things for Natural Risk Management (Inte.Ri.M.)

Beltramo¹,

Cantore²,

Vesce³

et al. 2019

Perspectives on Risk, Assessment and Management Paradigms

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This chapter deals with the development of a management system, which integrates the use of IoT in natural risk detection, revention, and management with economic evaluation of each stage. In the introductory part, recent data are presented that document the importance that natural disasters have for the environment and for the Italian economy. Section 2 presents the Inte.Ri.M. project-the Internet of Things for Natural Risk Management-its purpose, activity plan, and bodies involved. Technical aspects are treated in Section 3 with the choice of hardware and software components and the solutions for collecting and transmitting data. Section 4 is about the economic aspects considering the stages of prevention, intervention, and restoration and the relation between the intensity of human activity and environment to define a range of situations. These scenarios call for different economic methodologies useful to estimate economic implications of each stage in the short, medium, and long term. Section 5 describes the structure of the Inte.Ri.M. management system and the foreseen functionalities. In the conclusion, the critical points are discussed, and the steps for the transposition of the work carried out on the territory are outlined, according to the provisions of the work program.

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Smart sensor-based geospatial architecture for dike monitoring

Cited by 10 publications

References 4 publications

Re-evaluating safety risks of multifunctional dikes with a probabilistic risk framework

Re-evaluating safety risks of multifunctional dikes with a probabilistic risk framework

Re-evaluating safety risks of multifunctional dikes with a probabilistic risk framework

The Internet of Things for Natural Risk Management (Inte.Ri.M.)

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