Knowledge Acquisition for the Design of Flood Management Information System: Chi River Basin, Thailand

Kaewboonma, Nattapong; Tuamsuk, Kulthida; Kanarkard, Wanida

doi:10.1016/j.sbspro.2013.02.029

Cited by 3 publications

(3 citation statements)

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“…The bottleneck to encoding knowledge in structured computer programmes is knowledge acquisition. Collecting and compiling the necessary knowledge in even a small area involve the effort of countless individuals (Comas et al, ; Kaewboonma, Tuamsuk, & Kanarkard, ). Recently, a considerable amount of research utilizing artificial intelligence or expert system technology has been done on flood management (Emerton et al, ; Fang et al, ; Ghalkhani, Golian, Saghafian, Farokhnia, & Shamseldin, ; Luo et al, ; Mabrouk, Ezziyyani, Sadouq, & Essaaidi, ; Mahabir, Hicks, & Fayek, ; Pinto et al, ).…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of the benefits of using a backward chaining decision support expert system for local flood forecasting and warning

et al. 2018

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Nationwide flood forecasting and warning are available through mass media. However, running the complex numerical models requires enormous computational resources. In addition, the comparatively low accuracy of prediction for a certain region such as a small town, a community, or a single house, causes false alarms and improper responses and thus the unnecessary loss of property and/or life. One potential solution to advance forecast accuracy without occupying substantial computational resources is to develop a stand‐alone local flood forecasting and warning expert system incorporating sufficient data on local hydraulic and hydrological factors and local historical experience. To date, there has been a limited amount of work developing expert systems in this area. In this paper, we discuss the development and implementation of an expert system for local flood forecasting and warning. With its extensible knowledge base combined with the information provided by users, this expert system provides reasoning routines and forecasting on the flood warning stages, possible consequences, and recommendations for community managers, landowners, or the public in general.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of the benefits of using a backward chaining decision support expert system for local flood forecasting and warning

et al. 2018

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“…In recent years, many scholars have carried out some research on knowledge based system [1][2][3][4][5][6]. But there is no report about the knowledge based system for integrated water resources and environment management.…”

Section: Introductionmentioning

confidence: 99%

Study on Knowledge Based System for Integrated Water Resources and Environment Management at County Level

Tao

2013

AMR

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In order to improve the capacity of integrated management on water resources and environment at county water conservancy and environmental protection departments, a knowledge based system for integrated water resources and environment management have been developed and operated at 16 counties in the north of China. The information technologies such as knowledge discovery approaches, GIS and middleware have been applied in the development of the system. The System provides services of information management, business management, including permit management of water intake and pollution discharge. The integrated management planning platform was developed based on SWAT model. These services of the system have significantly improved the capabilities of information exchange and sharing as well as the integrated water resources and environment management at county level.

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River Water Resource Management and Flood Control Using GIS

Kumari¹,

Dessai²,

Cardozo³

et al. 2020

Lecture Notes in Civil Engineering

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Knowledge Acquisition for the Design of Flood Management Information System: Chi River Basin, Thailand

Cited by 3 publications

References 5 publications

Evaluation of the benefits of using a backward chaining decision support expert system for local flood forecasting and warning

Evaluation of the benefits of using a backward chaining decision support expert system for local flood forecasting and warning

Study on Knowledge Based System for Integrated Water Resources and Environment Management at County Level

River Water Resource Management and Flood Control Using GIS

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