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5 October 2020 Spatial Vulnerability Analysis of Marine Water Resources Pollution in Urban Socio-Economic Context
Jiangning Cao
Author Affiliations +
Abstract

Cao, J.N., 2020. Spatial vulnerability analysis of marine water resources pollution in urban socioeconomic context. In: Guido Aldana, P.A. and Kantamaneni, K. (eds.), Advances in Water Resources, Coastal Management, and Marine Science Technology. Journal of Coastal Research, Special Issue No. 104, pp. 67–71. Coconut Creek (Florida), ISSN 0749-0208.

In view of the low accuracy and long time consuming of traditional methods for analyzing the spatial vulnerability of marine water resources, this paper proposes an analysis method for the spatial vulnerability of marine water resources under the socio-economic background of city. According to the selection principle of evaluation index of marine water resources pollution spatial vulnerability, the evaluation index of marine water resources pollution spatial vulnerability is determined; the evaluation index system of marine water resources pollution spatial vulnerability is established; the normalized processing method is used to process the data in the above-mentioned evaluation index system of marine water pollution spatial vulnerability, and entropy difference calculation is introduced. On this basis, the Bayesian network method is used to construct the spatial vulnerability assessment model of marine water resources pollution, and the spatial vulnerability characteristics of marine water resources pollution under the urban socio-economic background are analyzed. The experimental results show that the accuracy of extracting the spatial vulnerability index of marine water resources pollution is the highest, which is about 98%, and the evaluation time is about 2 s.

©Coastal Education and Research Foundation, Inc. 2020
Jiangning Cao "Spatial Vulnerability Analysis of Marine Water Resources Pollution in Urban Socio-Economic Context," Journal of Coastal Research 104(sp1), 67-71, (5 October 2020). https://doi.org/10.2112/JCR-SI104-012.1
Received: 16 December 2019; Accepted: 7 May 2020; Published: 5 October 2020
KEYWORDS
Bayesian network
entropy difference
evaluation index
normalization
Spatial vulnerability
vulnerability evaluation model
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