A Synthetic Method for Atmospheric Diffusion Simulation and Environmental Impact Assessment of Accidental Pollution in the Chemical Industry in a WEBGIS Context

Abstract

The chemical industry poses a potential security risk to factory personnel and neighboring residents. In order to mitigate prospective damage, a synthetic method must be developed for an emergency response. With the development of environmental numeric simulation models, model integration methods, and modern information technology, many Decision Support Systems (DSSs) have been established. However, existing systems still have limitations, in terms of synthetic simulation and network interoperation. In order to resolve these limitations, the matured simulation model for chemical accidents was integrated into the WEB Geographic Information System (WEBGIS) platform. The complete workflow of the emergency response, including raw data (meteorology information, and accident information) management, numeric simulation of different kinds of accidents, environmental impact assessments, and representation of the simulation results were achieved. This allowed comprehensive and real-time simulation of acute accidents in the chemical industry. The main contribution of this paper is that an organizational mechanism of the model set, based on the accident type and pollutant substance; a scheduling mechanism for the parallel processing of multi-accident-type, multi-accident-substance, and multi-simulation-model; and finally a presentation method for scalar and vector data on the web browser on the integration of a WEB Geographic Information System (WEBGIS) platform. The outcomes demonstrated that this method could provide effective support for deciding emergency responses of acute chemical accidents.

Evaluating the Environmental Impact of Anthropogenic Activities on Human Health: A Systematic Review

“…The articles included were published between the years 1993 [24] and 2023 [54][55][56]. Studies were conducted in Canada [24,35], the USA [25,27,33,40], the UK [26,46], Denmark [28], Germany [29,43], Iran [30,31,42,49,50,54], Italy [32,36], China [34,37,45,47,56], Australia [38,48], Republic of Korea [39,52], Ghana [41], Spain [44], Greece [51], Thailand [53], and Egypt [55].…”

“…The included studies covered a variety of contexts, considering from landfill plans [24,28,32,37,41,42,46,51,55], manufacturing factories [29,31,39,49,50,53], mobility actions [26,38,44,48,52], energy productions [30,33,36,40,43,47,54,56], and the environmental health of an area [25,27,34,35,45].…”

“…Another technique that was also equally represented is one that involves the use of mathematical simulators and a multi-criteria decision analysis [24][25][26][27][29][30][31][32][33][34][35]37,40,42,[44][45][46]49,50,52,54,55]. This method can also be combined with the information extracted from the Geographical Information System (GIS) [31,34,55]. Only a study carries out an SEA [28] and a Specific Health Impact Assessment [48].…”

“…Determinants of health are assessed as parameters with a focus on human health and safety [26][27][28][29]32,33,35,40,[42][43][44][47][48][49]54,56], environmental impact [24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][45][46][47][49][50][51][52][54][55][56], the contribution to global warming [28,29,32,39,51,…”

Distributed Simulation Using Agents for the Internet of Things and the Factory of the Future

“…In the education field, ABM has been extensively used as a tool to foster the students' understanding of technical subjects and manufacturing activities [10]. Also, ABM was used to assess the environmental impact and safety in the chemical industry [11].…”