کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4576295 1629958 2013 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Typhoon event-based evolutionary fuzzy inference model for flood stage forecasting
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فرآیندهای سطح زمین
پیش نمایش صفحه اول مقاله
Typhoon event-based evolutionary fuzzy inference model for flood stage forecasting
چکیده انگلیسی


• This study proposes an evolutionary fuzzy inference model to forecast flood stages.
• The event-based fuzzy rules are formulated according to typhoon flood events.
• Forecasting results prove the forecasting ability of the proposed model.
• The weights of fired rules are identified to discuss the fuzzy inference process.

SummaryThis study proposes an evolutionary fuzzy inference model that combines a fuzzy inference model, genetic programming (GP), and a genetic algorithm (GA) to forecast flood stages during typhoons. The number of fuzzy inference rules in the proposed approach is based on the number of typhoon flood events. The consequent part of the rule was formed by constructing GP models that depict the rainfall–stage relationship of a specific flood event, whereas the GA was used to search the parameters of the fuzzy membership functions in the premise part of the rule. This study uses the proposed event-based evolutionary fuzzy inference model to forecast the typhoon flood stages of Wu River in Taiwan. Forecasting results based on stage hydrographs and performance indices verify the forecasting ability of the proposed model. This study also identifies the weights of triggered fuzzy rules during the fuzzy inference process, showing that a fuzzy rule is triggered according to the characteristics of the flood event that forms the rule. Moreover, physical explanation of the proposed evolutionary fuzzy inference model was discussed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hydrology - Volume 490, 20 May 2013, Pages 134–143
نویسندگان
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