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معرفی یک روش ترکیبی برای تخمین سرعت باد با استفاده از اطلاعات ایستگاههای همسایه در استان اصفهان | ||
| تحقیقات آب و خاک ایران | ||
| مقاله 15، دوره 50، شماره 1، فروردین و اردیبهشت 1398، صفحه 177-188 اصل مقاله (2.08 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ijswr.2018.254410.667873 | ||
| نویسندگان | ||
| بابک محمدی1؛ زهرا شریعتمداری* 2 | ||
| 1گروه مهندسی آبیاری و آبادانی، دانشکده مهندسی و فناوری کشاورزی، دانشگاه تهران کرج، ایران | ||
| 2استادیار گروه مهندسی آبیاری و آبادانی، دانشکده مهندسی و فناوری کشاورزی، دانشگاه تهران، کرج، ایران | ||
| چکیده | ||
| پیشبینی مؤلفههای باد ازجمله سرعت باد یکی از عوامل مهم بهخصوص در بحث تبخیر در یک حوزه آبخیز محسوب میشود. در این مقاله برای افزایش کارایی مدل ماشین بردار پشتیبان در پیشبینی سرعت باد، این مدل با الگوریتم بهینه‌سازی کرم شب‌تاب ترکیب‌شد که منبعد به عنوان مدل ترکیبی از آن یاد میشود. در این راستا با استفاده از دادههای سرعت باد ایستگاههای همدید استان اصفهان، مقادیر سرعت باد ماهانه در ایستگاههای مجهول همسایه در مقیاس ماهانه برآورد شد و سپس کارایی مدلهای ماشین بردار پشتیبان و مدل ترکیبی مورد مقایسه قرار گرفت. در نهایتبا استفاده از معیارهای RMSE، MAE، WI و NS، کارآیی عملکرد دو مدل مورد ارزیابی قرار گرفت. نتایج نشان داد که در مرحله ارزیابی، مدل ترکیبی با مقادیر همبستگی بالا و خطای کمتر کارآیی بالاتری نسبت به مدل دیگر دارد. همچنین روش استفاده از دادههای ایستگاههای همسایه به‌عنوان ورودی مدلهای تخمینگر ایستگاه مجهول، روش مناسبی برای تخمین سرعت باد میباشد. | ||
| کلیدواژه‌ها | ||
| اصفهان؛ الگوریتم کرم شب تاب؛ ایستگاه همسایه؛ روش هیبریدی؛ سرعت باد | ||
| عنوان مقاله [English] | ||
| Introducing a Hybrid Method for Estimating Wind Speed Using Information from Neighboring Stations in Isfahan Province | ||
| نویسندگان [English] | ||
| Babak Mohammadi1؛ Zahra Aghashariatmadari2 | ||
| 1Irrigation & Reclamation Engrg. Dept. University of Tehran Karaj, Iran. | ||
| 2Zahra Shariatmadari Assistant Prof., Irrigation & Reclamation Engrg. Dept. University of Tehran Karaj, Iran. | ||
| چکیده [English] | ||
| The prediction of wind components including wind speed is one of the important factors, especially in the case of evaporation in a watershed. In this paper, in order to increase the efficiency of support vector machines (SVM) for predicting wind speed, the SVM model was combined with the firefly optimization algorithm called hybrid model (HM). In this regard, the wind speed data from synoptic stations of Isfahan province were used to estimate the monthly wind speed values of the unknown neighboring stations. Then, the efficiency of the SVM and HM models was compared. Finally, the RMSE, MAE, WI, and NS indices were used to evaluate the both models performance efficiency. The results in the evaluation step showed that the hybrid model (HM) with high correlation and lower error values has higher performance efficiency as compared to the SVM model. as Also, the method of using neighboring stations data as inputs for the predictive models of unknown station is a proper method for estimation of wind speed. | ||
| کلیدواژه‌ها [English] | ||
| Isfahan, firefly optimization algorithm, neighboring station, hybrid method, wind speed | ||
| مراجع | ||
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