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BE-AWARE I HNS Risk Assessment. B onn Agr e ement: A rea- w ide A ssessment of R isk E valuations. Co-financed by the EU – Civil Protection Financial Instrument. Qualitative analysis of the likelihood of HNS spills. Accident models. DATA Collection. Data Collection and Analysis.
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BE-AWARE I HNS Risk Assessment Bonn Agreement: Area-wide Assessment of Risk Evaluations Co-financed by the EU – Civil Protection Financial Instrument
Accident models DATA Collection Data Collection and Analysis • Rotterdam (Bulk) • Antwerp (Bulk & Packed goods)
No one overall system IMDG Code GESAMP ARCOPOL Categorisation of HNS
Methodology • Top 100 most transported goods (bulk and packed) • Each dataset divided into IMDG, GESAMP and ACROPOL • SAMSON accident database used to estimate accidents of HNS shipments or vessels per cell
Top 100 Substances transported Totals for both ports • ARCPOL substances are evenly spread between packaged and bulk shipments • GESAMP substances are mostly found in packaged goods
Qualitative Analysis • Involvement of IMDG classified substances in collisions • Involvement of TOP 20 ARCOPOL classified substances involved in collisions • Involvement of chemical class I and II tankers in collisions
Risk analyses for bulk goods • 1 collision a year with vessel carrying IMDG 1-9, approx. 2200 tonnes of HNS involved • 1 collision in 3 years with Class I or II tanker with approx. 3000 tonnes of involved • 1 collision in 10 Years with vessel carrying ACROPOL Top 20 substance with 90 tonnes involved
Risk Analysis for packed goods • 0.8 collisions per year that involve a vessel with HNS on board as packed goods • The total amount of HNS involved in a collision is 843 tonnes per year, which would include 4 different HNS shipments.
Future work on HNS analysis • Improvement of databases to hold HNS shipment data including standard names and UN no. • Development of a categorisation system covering all substances • Development of a model that can analyse the amount of HNS spilled for accidents involving product tankers with many different cargoes • Development of a model of the effect of a collision on containers in different parts of a vessel and the likelihood containers would be lost following a collision • Develop more detailed model of the fate and behaviour of HNS spilt in accidents.
improve the understanding of the behaviour of HNS spilt at sea; • conduct lab experiments to further document the physico-chemical properties of commonly transported HNS • produce environmental and socioeconomic sensitivity maps dedicated to HNS; • develop a 3D mathematical model that can forecast the drift, fate and behaviourof HNS spilt at sea. • Develop web-based decision-support tool
Thank youbeaware.bonnagreement.org Questions?