According to lead researcher Lianfa Li of LREIS, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, “This improved detection of high risk has implications for risk assessment and management in supporting more precise information for decision-making.” The approach, while geared in this instance on flooding events, “has broader applications to typhoons, hurricanes, landslides, tsunamis and other adverse situations with natural and man-made causes,” according to Li.
The new analysis method is detailed in the article “Assessment of Catastrophic Risk Using a Bayesian Network Constructed from Domain Knowledge and Spatial Data” in the July issue of the journal Risk Analysis, published by the Society for Risk Analysis. The authors include Lianfa Li, Jinfeng Wang, and Chengsheng Jiang of the Chinese Academy of Sciences and Hareton Leung of Hong Kong Polytechnic University.
The researchers say their approach is unique in that it integrates expert input, geographic data, and a host of contributing factors in predicting the likelihood of certain adverse outcomes, allowing emergency planners to pre-position resources and prepare staff based on more information than is provided by reviewing similar events that have occurred in the past.
The model in effect operates as a type of “artificial intelligence,” according to Li. The supporting computer program “can learn from existing data and users can leverage expert knowledge to revise and improve the model, make inferences about missing data, and bridge other uncertainties to enhance the predictability of natural disasters and decrease potential losses.” Li added, “Our study proposes a generic modeling framework that integrates relevant quantitative and qualitative factors within a consistent system for assessment of catastrophic risks.”
The so-called Bayesian network approach for disaster prediction makes use of information from geographers, construction engineers, ecologists and economists. It was validated against data from flood disasters along the Heihe river in northwest China from 2006 to 2008, which indicated its relatively better performance than other available known methods.
Risk Analysis: An International Journal is published by the nonprofit Society for Risk Analysis (SRA). SRA is a multidisciplinary, interdisciplinary, scholarly, international society that provides an open forum for all those who are interested in risk analysis. Risk analysis is broadly defined to include risk assessment, risk characterization, risk communication, risk management, and policy relating to risk, in the context of risks of concern to individuals, to public and private sector organizations, and to society at a local, regional, national, or global level. www.sra.org
Steve Gibb | Newswise Science News
Antarctic Ice Sheet mass loss has increased
14.06.2018 | Technische Universität Dresden
WAKE-UP provides new treatment option for stroke patients | International study led by UKE
17.05.2018 | Universitätsklinikum Hamburg-Eppendorf
Scientists from the University of Freiburg and the University of Basel identified a master regulator for bone regeneration. Prasad Shastri, Professor of...
Moving into its fourth decade, AchemAsia is setting out for new horizons: The International Expo and Innovation Forum for Sustainable Chemical Production will take place from 21-23 May 2019 in Shanghai, China. With an updated event profile, the eleventh edition focusses on topics that are especially relevant for the Chinese process industry, putting a strong emphasis on sustainability and innovation.
Founded in 1989 as a spin-off of ACHEMA to cater to the needs of China’s then developing industry, AchemAsia has since grown into a platform where the latest...
The BMBF-funded OWICELLS project was successfully completed with a final presentation at the BMW plant in Munich. The presentation demonstrated a Li-Fi communication with a mobile robot, while the robot carried out usual production processes (welding, moving and testing parts) in a 5x5m² production cell. The robust, optical wireless transmission is based on spatial diversity; in other words, data is sent and received simultaneously by several LEDs and several photodiodes. The system can transmit data at more than 100 Mbit/s and five milliseconds latency.
Modern production technologies in the automobile industry must become more flexible in order to fulfil individual customer requirements.
An international team of scientists has discovered a new way to transfer image information through multimodal fibers with almost no distortion - even if the fiber is bent. The results of the study, to which scientist from the Leibniz-Institute of Photonic Technology Jena (Leibniz IPHT) contributed, were published on 6thJune in the highly-cited journal Physical Review Letters.
Endoscopes allow doctors to see into a patient’s body like through a keyhole. Typically, the images are transmitted via a bundle of several hundreds of optical...
Light detection and control lies at the heart of many modern device applications, such as smartphone cameras. Using graphene as a light-sensitive material for...
13.06.2018 | Event News
08.06.2018 | Event News
05.06.2018 | Event News
19.06.2018 | Physics and Astronomy
19.06.2018 | Life Sciences
19.06.2018 | Physics and Astronomy