Adaptation of an Integrated, Ocean Systems/Economics Damage Assessment Model to Korea: Some Preliminary Results

2018 ◽  
pp. 337-359
Author(s):  
Thomas A. Grigalunas ◽  
James J. Opaluch ◽  
Sung Chul Chung ◽  
Deborah French ◽  
Mark Reed
Keyword(s):  
Damage Assessment ◽  
Assessment Model ◽  
Preliminary Results ◽  
Damage Assessment Model

Adaptation of an integrated, Ocean systems/Economics damage assessment model to Korea: Some preliminary results

1990 ◽  
Vol 14 (1) ◽  
pp. 51-75
Author(s):  
Thomas A. Grigalunas ◽  
James J. Opaluch ◽  
Sung Chul Chung ◽  
Deborah French ◽  
Mark Reed
Keyword(s):  
Damage Assessment ◽  
Assessment Model ◽  
Preliminary Results ◽  
Damage Assessment Model

COMPUTER MODELS FOR DAMAGE ASSESSMENT: ESTIMATES OF USE AND RESULTS1

1995 ◽  
Vol 1995 (1) ◽  
pp. 339-344
Author(s):  
James F. Bennett ◽  
Bruce E. Peacock ◽  
Timothy R. Goodspeed
Keyword(s):  
Natural Resource ◽  
Damage Assessment ◽  
Oil Spills ◽  
Simulation Models ◽  
Field Studies ◽  
Historical Record ◽  
Assessment Model ◽  
Hazardous Substance ◽  
Natural Resource Damage Assessment ◽  
Damage Assessment Model

ABSTRACT Through the process of natural resource damage assessment (NRDA), certain public agencies have the authority to recover monetary damages from parties responsible for injury to natural resources from a discharge of oil or a release of a hazardous substance. Computer simulation models have been developed as simplified procedures for these natural resource trustees to use in calculating damages without undertaking extensive field studies. The revised Natural Resource Damage Assessment Model for Coastal and Marine Environments (NRDAM/CME) and the Natural Resource Damage Assessment Model for the Great Lakes Environments (NRDAM/GLE) are being developed to serve an expanding user community of public natural resource trustees. These tools may enable natural resource managers to expedite settlements and execute environmental restoration. To estimate the potential use of the NRDA models for oil spills, the authors have developed a set of candidate spill occurrences based on the historical record. Representing an estimated 337 applicable spill events in the subject year, 121 model runs generated damage figures ranging from zero to more than half a million dollars.

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