A nonlinear model for assessing multiple probabilistic risks: a case study in South five-island of Changdao National Nature Reserve in China.

Abstract:

:Several methods for estimating the potential impacts caused by multiple probabilistic risks have been suggested. These existing methods mostly rely on the weight sum algorithm to address the need for integrated risk assessment. This paper develops a nonlinear model to perform such an assessment. The joint probability algorithm has been applied to the model development. An application of the developed model in South five-island of Changdao National Nature Reserve, China, combining remote sensing data and a GIS technique, provides a reasonable risk assessment. Based on the case study, we discuss the feasibility of the model. We propose that the model has the potential for use in identifying the regional primary stressor, investigating the most vulnerable habitat, and assessing the integrated impact of multiple stressors.

journal_name

J Environ Manage

authors

Wang XL,Zhang J

doi

10.1016/j.jenvman.2006.11.015

subject

Has Abstract

pub_date

2007-12-01 00:00:00

pages

1101-8

issue

4

eissn

0301-4797

issn

1095-8630

pii

S0301-4797(06)00371-9

journal_volume

85

pub_type

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