Zobrazeno 1 - 10
of 4 004
pro vyhledávání: '"H. Aerts"'
Autor:
Marijn J. Ton, Michiel W. Ingels, Jens A. de Bruijn, Hans de Moel, Lena Reimann, Wouter J. W. Botzen, Jeroen C. J. H. Aerts
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract In global impact modeling, there is a need to address the heterogeneous characteristics of households and individuals that drive different behavioral responses to, for example, environmental risk, socio-economic policy changes and spread of
Externí odkaz:
https://doaj.org/article/591cc23ae8cf404dae01da29649ab4ab
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The Caribbean region is prone to the strong winds and low air pressures of tropical cyclones and their corresponding storm surge that driving coastal flooding. To protect coastal communities from the impacts of tropical cyclones, it is impor
Externí odkaz:
https://doaj.org/article/648f39d8dc774bff9f215fb81abd8d11
Autor:
Tim Busker, Bart van denHurk, Hans deMoel, Marc van denHomberg, Chiem vanStraaten, Rhoda A. Odongo, Jeroen C. J. H. Aerts
Publikováno v:
Earth's Future, Vol 12, Iss 8, Pp n/a-n/a (2024)
Abstract In this study, we present a machine‐learning model capable of predicting food insecurity in the Horn of Africa, which is one of the most vulnerable regions worldwide. The region has frequently been affected by severe droughts and food cris
Externí odkaz:
https://doaj.org/article/b909c68d63ff484cb745f5d0402f901f
Autor:
Julius Schlumberger, Marjolijn Haasnoot, Jeroen C. J. H. Aerts, Veerle Bril, Lars van derWeide, Marleen deRuiter
Publikováno v:
Earth's Future, Vol 12, Iss 5, Pp n/a-n/a (2024)
Abstract Disaster Risk Management (DRM) is complex due to interacting climate risks from interacting hazards and sectors. We develop a synthetic multi‐risk test case to explore the effects of these interactions on decision‐making under deep uncer
Externí odkaz:
https://doaj.org/article/75e62f9882074ab1bc0ecf22d8850b30
Publikováno v:
Earth's Future, Vol 12, Iss 3, Pp n/a-n/a (2024)
Abstract Fatalities caused by natural hazards are driven not only by population exposure, but also by their vulnerability to these events, determined by intersecting characteristics such as education, age and income. Empirical evidence of the drivers
Externí odkaz:
https://doaj.org/article/3c485f8987ce44f1ba26627eede3aa8d
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Infragravity waves may contribute significantly to coastal flooding, especially during storm conditions. However, in many national and continental to global assessments of coastal flood risk, their contribution is not accounted for, mostly because of
Externí odkaz:
https://doaj.org/article/43c7efc7a2be46f9ad1cae9f7e07c33e
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-14 (2023)
Abstract Future flood risk assessments typically focus on changing hazard conditions as a result of climate change, where flood exposure is assumed to remain static or develop according to exogenous scenarios. However, this study presents a method to
Externí odkaz:
https://doaj.org/article/41bc59d9247548c7ae51b88215df78a5
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 2437-2454 (2023)
Humans play a large role in the hydrological system, e.g. by extracting large amounts of water for irrigation, often resulting in water stress and ecosystem degradation. By implementing large-scale adaptation measures, such as the construction of irr
Externí odkaz:
https://doaj.org/article/0d1552c9950e4350a84897882ee6e458
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 23, Pp 1847-1862 (2023)
Coastal flooding is driven by the combination of (high) tide and storm surge, the latter being caused by strong winds and low pressure in tropical and extratropical cyclones. The combination of storm surge and the astronomical tide is defined as the
Externí odkaz:
https://doaj.org/article/fd54c05edf7f480db8b11a900b62a9a5
Autor:
Lars Tierolf, Toon Haer, W. J. Wouter Botzen, Jens A. de Bruijn, Marijn J. Ton, Lena Reimann, Jeroen C. J. H. Aerts
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract In this study, we couple an integrated flood damage and agent-based model (ABM) with a gravity model of internal migration and a flood risk module (DYNAMO-M) to project household adaptation and migration decisions under increasing coastal fl
Externí odkaz:
https://doaj.org/article/f578318e07da4348864343d90caf1a29