A New Method to Assist Decision-Making of Water Environmental Emergency in Expressway Region

Qing’e Wang, Mengmeng Su, Lei Zeng and Huihua Chen ()
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Qing’e Wang: School of Civil Engineering, Central South University, Changsha 410075, China
Mengmeng Su: School of Civil Engineering, Central South University, Changsha 410075, China
Lei Zeng: Guangzhou Expressway Co., Ltd., Guangzhou 510288, China
Huihua Chen: School of Civil Engineering, Central South University, Changsha 410075, China

IJERPH, 2022, vol. 19, issue 16, 1-19

Abstract: Water environmental emergency (WEE) in expressway region is a special kind of risk event with several characteristics, such as rarity, unconventionality, and harmfulness. The emergency decision-making (EDM) features, procedures, and methods are considerably different from the general decision-making problems. EDM quality is directly related to the timely implementation of a reasonable emergency plan. Therefore, methods should be developed to respond to emergencies immediately and scientifically and minimize the damage to water environment. This work introduces risk source identification and emergency classification and develops an emergency decision model based on scenario retrieval and case-based reasoning, according to the existing EDM model and characteristics of WEE in expressway region. The proposed method is validated through case analysis of Daguang expressway in China. This method provides an effective solution for EDM of WEEs in expressway region. The emergency measures can be implemented quickly and effectively after the occurrence of water environmental emergencies to control pollution events, provide scientific and feasible action guides for emergency processes, and enrich the case base of decision-making systems.

Keywords: emergency decision-making; water environment; scenario retrieval; CBR; emergency classification (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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