Expert systems for disaster forecasting warning recovery and response in water resources management

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dc.contributorTootle, Glenn A.
dc.contributorElliott, Mark A.
dc.contributorOubeidillah, Abdoul A.
dc.contributor.advisorMoynihan, Gary P.
dc.contributor.advisorErnest, Andrew N. S.
dc.contributor.authorZhang, Xiaoyin
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.date.accessioned2018-06-04T14:57:19Z
dc.date.available2018-06-04T14:57:19Z
dc.date.issued2017
dc.descriptionElectronic Thesis or Dissertationen_US
dc.description.abstractDisaster forecasting, warning, recovery, and response in water resources management require the application of knowledge from a diverse range of domains. Identifying the appropriate approach necessitates integrating rules and requirements from these knowledge domains in such a way that the operational goals are achieved with minimally available situational information. Disaster forecasting, warning, recovery, and response must be able to adapt and evolve as new information becomes available. To date, there has been a limited amount of work developing expert systems in this area. In order to fill the knowledge gap, this study 1) identifies and assimilates the knowledge necessary for Water Distribution Network (WDN) decontamination, local flood forecasting and warning, and local flood response coordination and training; 2) determines the relative utility of architectures of expert systems and conventional codes; 3) evaluates the relative benefits of forward and backward chaining inferential logic in these scenarios. Based on the outcome of the conceptual systems, we develop three complete backward chaining expert systems, respectively. With extensible knowledge bases combined with the information provided by the users, the expert systems successfully provide reasoning routines, recommendations, and guidance on disaster forecasting, warning, recovery, and response in water resources management.en_US
dc.format.extent114 p.
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.otheru0015_0000001_0002830
dc.identifier.otherZhang_alatus_0004D_13310
dc.identifier.urihttp://ir.ua.edu/handle/123456789/3506
dc.languageEnglish
dc.language.isoen_US
dc.publisherUniversity of Alabama Libraries
dc.relation.hasversionborn digital
dc.relation.ispartofThe University of Alabama Electronic Theses and Dissertations
dc.relation.ispartofThe University of Alabama Libraries Digital Collections
dc.rightsAll rights reserved by the author unless otherwise indicated.en_US
dc.subjectEnvironmental engineering
dc.subjectEnvironmental management
dc.subjectEnvironmental science
dc.titleExpert systems for disaster forecasting warning recovery and response in water resources managementen_US
dc.typethesis
dc.typetext
etdms.degree.departmentUniversity of Alabama. Department of Civil, Construction, and Environmental Engineering
etdms.degree.disciplineCivil, Construction & Environmental Engineering
etdms.degree.grantorThe University of Alabama
etdms.degree.leveldoctoral
etdms.degree.namePh.D.

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