EventsThe 6th International Electronic Conference on Water Sciences
Published
with-doi10.3390/ECWS-6-11614 (registering DOI)
This submission belongs to the session 5. Soft and Hard Interventions to Adapt to and Mitigate Abiotic and Biotic Coastal Change Due to Climate Change and Human Interventions of the event The 6th International Electronic Conference on Water Sciences
Published date
10 Nov, 2021
Citation
Chalaris Michail, Water, Terrorist Attacks, Industrial Accidents, and Modeling Possible Impacts of These Incident in Coastal Ecosystems With Computational Model, in Proceedings of The 6th International Electronic Conference on Water Sciences, 15 November–30 November 2021, MDPI: Basel, Switzerland, doi: 10.3390/ECWS-6-11614
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Water, Terrorist Attacks, Industrial Accidents, and Modeling Possible Impacts of These Incident in Coastal Ecosystems With Computational Model

1. Chemistry Department, International Hellenic University, Greece
Abstract

Emergent water pollution accidents range primarily based on pollution location, sources of pollution, levels of pollution, and pollution timeframe. Because of climatic conditions, human factors, and technological flaws, inappropriate chemical usage, spills and explosions in the chemical industry, and oil tankers, there have been significant economic losses, environmental devastation, and deaths. In this paper possible changes that would occur in the ecosystem of a coastal in response to a terrorist attack or/and industrial accident will be identified and discussed. A very brief revision will be done on ecosystem organization, succession, effects of pollutants and biomagnification, and coastal water renewal characteristics to draw possible scenario under a terrorist attack or/and industrial accident. Simple computational models will be used to simulate a coastal ecosystem and demonstrate the possible consequences of an incident.

Keywords
water terrorism
water pollution incidents chemical warfare agents
biological warfare agents
risk and assessment emergency response plan
ecological modeling
Manuscript
Poster
sciforum-054130-presentation.pdf
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