Creation of damage area prediction map according to chemical incidents around chemical industrial complex considering environmental factors
Abstract
As industries have been developing, growing amount of different chemical factories are needed to satisfy people's different needs. And more chemical factories usually relate to more chemical incidents and require proper management. This study is to create the damage area prediction map when chemical incidents occur around chemical industrial complex, considering several environmental factors. The damage area prediction map is highly required by regional governments to take proper actions on actual damaged area. And based on actual chemical incidents points, it will make the map more accurate considering the environmental factors such as topography, wind direction, wind speed, temperature and humidity. As the chemical incidents occur more frequently in summer season in Korea, climate data only from June to August of 2011~2018 were used to improve the range accuracy. Among several models, Risk Management Plan*Comp (RMP*Comp) is useful to predict and analyse the damage range of chemical incidents. This program was developed jointly by NOAA and USEPA to fill in off-site risk assessment and can choose chemical characteristics and leakage conditions under different scenarios. Using the model, this study has tried to simulate and map out the range of chemical incidents on ecosystem around main industrial complex in Korea. Not only the actual chemical incident points, but several diffusion scenarios of chemicals related to the incidents have been applied to predict its range. And the results are expected to be used as input data for further study like creation of ecosystem risk map or as a guideline to refer to when making the chemical incident management manual.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFMNH33B..13K
- Keywords:
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- 4306 Multihazards;
- NATURAL HAZARDS;
- 4307 Methods;
- NATURAL HAZARDS;
- 4328 Risk;
- NATURAL HAZARDS;
- 4337 Remote sensing and disasters;
- NATURAL HAZARDS