Spatial Estimation of Losses Attributable to Meteorological Disasters in a Specific Area (105.0°E–115.0°E, 25°N–35°N) Using Bayesian Maximum Entropy and Partial Least Squares Regression
Joint Authors
Zhang, F. S.
Zhong, S. B.
Yang, Z. T.
Sun, C.
Wang, C. L.
Huang, Q. Y.
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-24
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
The spatial mapping of losses attributable to such disasters is now well established as a means of describing the spatial patterns of disaster risk, and it has been shown to be suitable for many types of major meteorological disasters.
However, few studies have been carried out by developing a regression model to estimate the effects of the spatial distribution of meteorological factors on losses associated with meteorological disasters.
In this study, the proposed approach is capable of the following: (a) estimating the spatial distributions of seven meteorological factors using Bayesian maximum entropy, (b) identifying the four mapping methods used in this research with the best performance based on the cross validation, and (c) establishing a fitted model between the PLS components and disaster losses information using partial least squares regression within a specific research area.
The results showed the following: (a) best mapping results were produced by multivariate Bayesian maximum entropy with probabilistic soft data; (b) the regression model using three PLS components, extracted from seven meteorological factors by PLS method, was the most predictive by means of PRESS/SS test; (c) northern Hunan Province sustains the most damage, and southeastern Gansu Province and western Guizhou Province sustained the least.
American Psychological Association (APA)
Zhang, F. S.& Zhong, S. B.& Yang, Z. T.& Sun, C.& Wang, C. L.& Huang, Q. Y.. 2016. Spatial Estimation of Losses Attributable to Meteorological Disasters in a Specific Area (105.0°E–115.0°E, 25°N–35°N) Using Bayesian Maximum Entropy and Partial Least Squares Regression. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1095354
Modern Language Association (MLA)
Zhang, F. S.…[et al.]. Spatial Estimation of Losses Attributable to Meteorological Disasters in a Specific Area (105.0°E–115.0°E, 25°N–35°N) Using Bayesian Maximum Entropy and Partial Least Squares Regression. Advances in Meteorology No. 2016 (2016), pp.1-16.
https://search.emarefa.net/detail/BIM-1095354
American Medical Association (AMA)
Zhang, F. S.& Zhong, S. B.& Yang, Z. T.& Sun, C.& Wang, C. L.& Huang, Q. Y.. Spatial Estimation of Losses Attributable to Meteorological Disasters in a Specific Area (105.0°E–115.0°E, 25°N–35°N) Using Bayesian Maximum Entropy and Partial Least Squares Regression. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1095354
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095354