New research cyclones highlight flaws in risk evaluation

A new systematic review has revealed serious shortcomings in the evaluation of cyclone risk worldwide. Research, which analyzed 94 studies at a cyclone risk, warns that the existing approaches may fail to provide a complete picture of the communities of the dangers.

the study, “Hurricane Risk Valuation Model and Future Steel Stegle Review“Was published in the magazine Geology limitThis represents the first comprehensive review of cyclone risk assessment.

More than 80 cyclones, typhoon and storms are formed worldwide every year – some of the most powerful and harmful systems are faced with Australia. They threaten life and wreak havoc on infrastructure and economies.

Research identified six major factors that affect cyclone risk: land use, slope, rain, height, population density and soil quality. Including these variables in the risk model can improve the accuracy of predictions and give rise to better policy decisions.

Director at the lead author, prestigious professor Biswajit Pradhan, Center for Advanced Modeling and Geospatial Information Systems of Technology Sydney (UTS) said that failure to improve risk assessment could be dangerously highlighting communities.

“Our review shows that risk assessments focus too much on specific hazards, such as storms or floods, rather than how many dangers interact. It can leave unexpected communities for the entire range of cyclone-related destruction,” said Professor Pradhan.

“Another important concern is that current assessments prefer cyclone frequency on real damage, despite being more useful for policy makers. Only 5% of the studies examined the effectiveness of mitigation measures, which exposes a blind location in the disaster flexibility plan.”

Mitigation measures include better building codes, coastal rescue, initial warning systems and land use schemes, which can all reduce the impact of cyclone and help in protecting communities.

The economic influence of cyclones is another region where existing assessments decrease. The study stated that indirect impact-as business operations are disrupted-often ignored, despite their ability due to their long-term financial loss.

it Geology limit The study is as follows Another study Published by Professor Pradhan Earth system and environmentOn the ability of AI and machine learning-based risk assessment for cyclone-induced flood damage.

Professor Pradhan said, “Cyclone risk assessment has unused ability to use machine learning.” “Integrating AI and machine learning can greatly increase the future accuracy and flexibility plan.

“While some researches have used artificial intelligence – which includes random forest models and nerve networks – there is scope for detecting more advanced techniques such as artists, which can increase accuracy and adaptability in various fields.

“These findings provide significant insights that can shape future research and policy, eventually Australia and other cyclone-prone areas help prepare for the increasing threat to extreme weather events in the changing climate,” he said.