Journal of Risk Analysis and Crisis Response

Volume 6, Issue 1, April 2016, Pages 10 - 14

Eutrophication Hazard Evaluation Using Copula-Cloud

Authors
Dengfeng Liu, Dong Wang, Yuankun Wang
Corresponding Author
Dong Wang
Received 1 July 2015, Accepted 25 January 2016, Available Online 1 April 2016.
DOI
https://doi.org/10.2991/jrarc.2016.6.1.2How to use a DOI?
Keywords
Risk assessment, Copula, Cloud model, Eutrophication hazard; Water environment
Abstract
A copula-cloud (C-C) coupled framework is proposed with respect to the uncertainty and multi-criteria mapping in water environmental hazard evaluation, with introducing copulas and cloud model theory. In the C-C framework, cloud models are firstly generated with given risk criteria which quantify the concept of risk from each dimension, before that copulas are estimated with the dependence of observed water quality data. The multi-dimensional copula-cloud model can be finally constructed with connecting all clouds by copulas, which can model the randomness, fuzziness and dependence of each risk criterion in assessment. The C-C technique have been applied on cases of representative lakes or reservoirs in China. Results in comparison with relevant proposed methods verify the completeness and effectiveness of the technique. As a beneficial exploration on clouds and copulas, the proposed C-C technique provide an innovative approach in relevant risk assessment.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
Journal of Risk Analysis and Crisis Response
Volume-Issue
6 - 1
Pages
10 - 14
Publication Date
2016/04
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
https://doi.org/10.2991/jrarc.2016.6.1.2How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Dengfeng Liu
AU  - Dong Wang
AU  - Yuankun Wang
PY  - 2016
DA  - 2016/04
TI  - Eutrophication Hazard Evaluation Using Copula-Cloud
JO  - Journal of Risk Analysis and Crisis Response
SP  - 10
EP  - 14
VL  - 6
IS  - 1
SN  - 2210-8505
UR  - https://doi.org/10.2991/jrarc.2016.6.1.2
DO  - https://doi.org/10.2991/jrarc.2016.6.1.2
ID  - Liu2016
ER  -