Flash Flood Prediction and Prevention System
FLOPRES aims to enhance flood risk management through integrated modeling, early warnings, and stakeholder collaboration, improving community resilience to climate change impacts.
Projectdetails
Introduction
Changing hydro-meteorological conditions due to climate change, intensification of land and water use, and lack of adaptation measures are among the contributors to water-related risks, such as landslides or flash floods. Although water management has been changing its approach over the past decade and new technologies to improve flood risk prevention have been introduced, recurring flood incidents demonstrate deficiencies in forecasting flood risks and threat locations.
Challenges in Water Management
Authorities responsible for local water governance and members of the general public, such as farmers and landowners, lack the knowledge and capacity to address the challenges posed by the need for climate change adaptation.
Project Overview
The FLOPRES project proposes an integrated solution to support:
- Flood modelling
- Forecasting
- Early warnings
- Integration and analysis of multimodal data
This support is aimed at authorities responsible for water and emergency management at all levels, as well as private individuals who might be impacted by the consequences of climate change-related hazardous events.
Objectives
Our intention is also to raise awareness among the public and various stakeholders on a nature-based solution to adapt to climate change. We aim to make local communities and authorities work together efficiently under the same objective.
Expected Outcomes
The project will contribute to:
- Better-informed and more nature-based friendly decision-making processes in water management
- Improved management of water risks and disasters
- Increased knowledge and strengthened collaboration among stakeholders, experts, and the public
As a result, the resilience of municipalities and their citizens to climate-change-related events will be strengthened, and the risks stemming from climate change will be lessened.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.920.676 |
Totale projectbegroting | € 3.201.129 |
Tijdlijn
Startdatum | 1-9-2023 |
Einddatum | 31-8-2026 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- ESPRIT SPOL. SROpenvoerder
- GOSPACE LABS SRO
- METEO SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIA
- PRESOVSKY SAMOSPRAVNY KRAJ
- MALOPOLSKA AGENCJA ROZWOJU REGIONALNEGO SA
- The Malopolska Region
- Kosice City
- MESTO PRESOV
- INOVACNE CENTRUM KOSICKEHO KRAJA KOSICE REGION INNOVATION CENTER
Land(en)
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Public–Private Insurance Partnerships for Adapting to Multi-Hazard Climate Change RisksThis project aims to develop innovative insurance arrangements that promote policyholder adaptation to multi-hazard climate risks through interdisciplinary risk assessments and behavioral strategies. | ERC COG | € 1.999.999 | 2023 | Details |
Mobile Dam MonitoringDit project ontwikkelt een remote monitoringssysteem voor mobiele nooddammen om lekkages en verzwakkingen snel te detecteren, waardoor overstromingsrisico's effectief verminderd worden. | MIT R&D Samenwerking | € 123.284 | 2016 | Details |
Filling the Behavioral Gap in Disaster Risk Reduction and Climate Change Adaptation
The project aims to enhance flood risk assessments by integrating human behavior into policies, using demonstrators from four cities to improve resilience and reduce losses from disasters.
CLIMate Adaptation for the PO river basin district
CLIMA PO aims to enhance climate adaptation in the Po River Basin through improved water management governance, stakeholder engagement, and coordinated funding for sustainable practices.
Public–Private Insurance Partnerships for Adapting to Multi-Hazard Climate Change Risks
This project aims to develop innovative insurance arrangements that promote policyholder adaptation to multi-hazard climate risks through interdisciplinary risk assessments and behavioral strategies.
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Dit project ontwikkelt een remote monitoringssysteem voor mobiele nooddammen om lekkages en verzwakkingen snel te detecteren, waardoor overstromingsrisico's effectief verminderd worden.