Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4978154 | Environmental Modelling & Software | 2017 | 9 Pages |
Abstract
For ocean pollution emergencies, decision-makers need to quickly know the location of the pollutant for quick assessment and response strategies. In this study, an integrated operational forecasting model coupling a non-Fickian particle-tracking diffusion model based on fractional Brownian motion and geographic information system (GIS) has been developed to implement an operating system for pollutant drift forecasting. The software was developed in C# and C++ language using ArcGIS Engine functions which provides improved visualization and user-friendly and automatic tools for simulation in a geographically referenced environment. The capabilities and effectiveness of the developed software were illustrated by predicting red tide drift through calibration with field observations. This visualized operational forecasting software provides a quick and easy deployable tool for decision-makers in quick response to emergency ocean pollution events.
Related Topics
Physical Sciences and Engineering
Computer Science
Software
Authors
Rufu Qin, Liangzhao Lin, Cuiping Kuang, Tsung-Chow Su, Xiaodan Mao, Yusheng Zhou,