A DSS for oil spills based on ANN

Author

Liao, Zhenliang ; Xia, Xiaowei

Author_Institution

Key Lab. of Yangtze River Water Environ., Tongji Univ., Shanghai, China

fYear

2012

fDate

19-21 Oct. 2012

Firstpage

1

Lastpage

4

Abstract

This paper present a methodology for developing oil spill emergency Decision Support System (DSS) based on Artificial Neural Network (ANN). The network architecture of the ANN is introduced. Then the development process and key technologies are addressed. The procedures are as follows: (1) digitization (coding) of case information and emergency measures; (2) construction of oil spill ANN; and (3) translation (decoding) of decision-making information. The training features, time, errors, accuracy, and input attribute weights of the developed system are analyzed. The research work shows that: oil spill decision support systems based on ANN technology is effective, which can generate emergency plans quickly and accurately to meet the requirements of an oil spill on-site.

Keywords

marine pollution; oceanographic techniques; water pollution control; ANN network architecture; China coast; artificial neural network; decision support system; decision-making information translation; oil spill ANN construction; oil spill emergency DSS; Accidents; Area measurement; Artificial neural networks; Decision support systems; Pollution measurement; Training; Vectors; Artificial Neural Network; Decision Support System; Environmental Emergency; Oil Spill;

fLanguage

English

Publisher

ieee

Conference_Titel

Geomatics for Integrated Water Resources Management (GIWRM), 2012 International Symposium on

Conference_Location

Lanzhou, Gansu

Print_ISBN

978-1-4673-1283-7

Type

conf

DOI

10.1109/GIWRM.2012.6349646

Filename

6349646