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Updated: Jul 21, 2026

Modifying the Bank Erosion Hazard Index (BEHI) Protocol for Rapid Assessment of Streambank Erosion in Northeastern Ohio
Published on: February 13, 2015
Refocusing disaster aid
Joanne Linnerooth-Bayer1, Reinhard Mechler, Georg Pflug
1International Institute for Applied Systems Analysis, Laxenburg, Austria.
New disaster risk modeling enables pre-emptive aid for vulnerable populations. Donor-funded insurance instruments transfer catastrophe risks, leveraging aid and reducing post-disaster dependency.
Area of Science:
- Climate Science
- Financial Economics
- Disaster Management
Background:
- Developing nations face severe economic impacts from natural disasters.
- Traditional disaster aid is often insufficient and reactive.
- Catastrophe risk modeling has advanced significantly.
Purpose of the Study:
- To explore how enhanced disaster risk modeling can inform pre-emptive financial assistance.
- To assess the utility of novel insurance instruments for catastrophe risk transfer.
- To evaluate the benefits of donor-supported risk-transfer programs for both donors and recipients.
Main Methods:
- Utilizing advanced modeling techniques for natural disaster risk estimation and pricing.
- Developing and analyzing novel insurance instruments for catastrophe risk transfer.
- Examining the coupling of risk-transfer instruments with disaster prevention measures.
Main Results:
- New modeling techniques provide a basis for proactive disaster economic impact assessment.
- Insurance instruments can effectively transfer catastrophe risks to global financial markets.
- Donor-supported programs offer a way to leverage aid budgets and reduce recipient country dependency.
Conclusions:
- Pre-emptive financial assistance, facilitated by advanced risk modeling and insurance, can help the poor cope with disaster economic repercussions.
- Donor-supported catastrophe risk transfer programs offer mutual benefits, enhancing aid effectiveness and national resilience.
- Integrating risk transfer with preventive measures maximizes the positive impact of disaster assistance.
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