The families' data damaged by the earthquake and flood in villages and towns along Fujiang River in Sichuan are collected by using intelligences Internet of, and the process and the degree of ruined the production and life of the farmers in this area are evaluated through the information diffusion technology. The villages and towns had suffered a large loss of integrated risk from floods and earthquakes, with an average annual loss of 5.758 million Yuan.
View Article and Find Full Text PDFMany models can be used to fill the gaps caused by incomplete geospatial data. But not all are valid. To study the validity of geospatial information diffusion model, in this article, two judging criteria are suggested to check if a model is valid for filling a gap unit.
View Article and Find Full Text PDFAn integrated risk is a scene in the future associated with some adverse incident caused by multiple hazards. An integrated probability risk is the expected value of disaster. Due to the difficulty of assessing an integrated probability risk with a small sample, weighting methods and copulas are employed to avoid this obstacle.
View Article and Find Full Text PDFToday, most of the commercial risk radars only have the function to show risks, as same as a set of risk matrixes. In this paper, we develop the Internet of intelligences (IOI) to drive a risk radar monitoring dynamic risks for emergency management in community. An IOI scans risks in a community by 4 stages: collecting information and experience about risks; evaluating risk incidents; verifying; and showing risks.
View Article and Find Full Text PDFBackside grinding (BG) wastewater treatment typically requires large quantities of chemicals, i.e. polyaluminum chloride (PAC) coagulant and produces considerable amounts of sludge, increasing the loading and cost of subsequent sludge treatment and disposal processes.
View Article and Find Full Text PDFConcerning the essence of risk, we suggest a new definition of risk: a scene in the future associated with some adverse incident. In many cases, risks are rather fuzzy for our perception because of the shortage of knowledge or information about the systems that determine the adverse incidents. We introduce a concept of fuzzy risk based on the new risk definition and fuzzy sets.
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