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The power of modelling technology to support coastal resilience planning
Population growth – along with sea level rise compounded by storm surges and increased rainfall intensity due to climate change – are the key reasons for the increase in coastal flooding and degradation of our coastal regions and ecosystems today.

The compounded negative effects of coastal flooding and erosion are why coastal regions have been challenged more than ever in recent years to plan, prepare and adapt for changed flood risks – now and in the future.

Advanced forecast of extreme weather events has provided support to many marine and coastal activities from coastal flooding to planning. However, understanding flood risk in itself is just the beginning. The best coastal resilience tools not only provide flood risk evaluation, but also help us develop real and economic solutions using our latest knowledge.
Technologies that have proven to benefit flood risk management are those that enable data analysis, design, forecasting and real-time control – all tailored to the needs of the local community.

In this free, 1 hour webinar, you’ll gain powerful insight on how modelling technology can offer a holistic approach to decision support and enable true adaptation to be achieved.

Dec 12, 2019 04:00 PM in Universal Time UTC

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Henrik Kofoed-Hansen
Vice President of Marine Water @DHI
Mr. Kofoed-Hansen is DHI’s Vice President of Marine Water. He has more than 25 years of professional experience in the field of offshore, port and coastal engineering with emphasis on metocean processes and data, water-land interactions using modern modelling technologies to develop of creative resilient infrastructures.
Poul Kronborg
Global Sales Executive - Marine Software Applications @DHI
Mr. Kronborg is a Global Sales Executive for DHI's Marine software applications, involved in strategy development, pricing, marketing and sales management. He has a technical background in engineering and specialises in water and environmental engineering, in particular mathematical modelling