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 Managejournal_title
Journal of environmental managementauthors
Wang XL,Zhang Jdoi
10.1016/j.jenvman.2006.11.015subject
Has Abstractpub_date
2007-12-01 00:00:00pages
1101-8issue
4eissn
0301-4797issn
1095-8630pii
S0301-4797(06)00371-9journal_volume
85pub_type
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