Impact forecasting to support emergency management of natural hazards
Forecasting and early warning systems are important investments to protect lives, properties,
and livelihood. While early warning systems are frequently used to predict the magnitude …
and livelihood. While early warning systems are frequently used to predict the magnitude …
Urban hydroinformatics: Past, present and future
Hydroinformatics, as an interdisciplinary domain that blurs boundaries between water
science, data science and computer science, is constantly evolving and reinventing itself. At …
science, data science and computer science, is constantly evolving and reinventing itself. At …
[HTML][HTML] Brief communication: Impact forecasting could substantially improve the emergency management of deadly floods: case study July 2021 floods in Germany
Floods affect more people than any other natural hazard; thus flood warning and disaster
management are of utmost importance. However, the operational hydrological forecasts do …
management are of utmost importance. However, the operational hydrological forecasts do …
Experiments of an IoT-based wireless sensor network for flood monitoring in Colima, Mexico
Urban flooding is one of the major issues in many parts of the world, and its management is
often challenging. One of the challenges highlighted by the hydrology and related …
often challenging. One of the challenges highlighted by the hydrology and related …
Impact‐based forecasting for pluvial floods
Pluvial floods in urban areas are caused by local, fast storm events with very high rainfall
rates, which lead to inundation of streets and buildings before the storm water reaches a …
rates, which lead to inundation of streets and buildings before the storm water reaches a …
Assessment of pre-simulated scenarios as a non-structural measure for flood management in case of levee-breach inundations
Levee breach inundations can entail large flood losses due to the high concentration of
exposed assets in levee-protected floodplains and, sometimes, to the inadequacy or …
exposed assets in levee-protected floodplains and, sometimes, to the inadequacy or …
Reliability analysis and optimum maintenance of coastal flood defences using probabilistic deterioration modelling
This paper presents a method for time-dependent reliability analysis, future performance
predictions and optimum maintenance strategy of coastal flood defences such as earth sea …
predictions and optimum maintenance strategy of coastal flood defences such as earth sea …
Improved transferability of data‐driven damage models through sample selection bias correction
D Wagenaar, T Hermawan… - Risk …, 2021 - Wiley Online Library
Damage models for natural hazards are used for decision making on reducing and
transferring risk. The damage estimates from these models depend on many variables and …
transferring risk. The damage estimates from these models depend on many variables and …
[HTML][HTML] An integrated risk-based early warning system to increase community resilience against disaster
The need to integrate Early Warning System (EWS) with Disaster Risk Reduction (DRR) has
long been recognized in several global forums. In the year 2006, the United Nations …
long been recognized in several global forums. In the year 2006, the United Nations …
Methods and tools to support real time risk-based flood forecasting-a UK pilot application
E Brown, D Bachmann, M Cranston… - E3S Web of …, 2016 - e3s-conferences.org
Flood managers have traditionally used probabilistic models to assess potential flood risk for
strategic planning and non-operational applications. Computational restrictions on data …
strategic planning and non-operational applications. Computational restrictions on data …