HYDROCLIMATIC PHENOMENA MODELING USING WAVELET-HOLTWINTERS MODEL

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

NOURANI V.; SHARGHI E.; NAJAFI H.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRAN-WATER RESOURCES RESEARCH Year:2018 | Volume:14 | Issue:1 Page(s): 59-70

Download Full-Text

Persian Verion

View:

773

Download:

Cites:

Information Journal Paper

Title

HYDROCLIMATIC PHENOMENA MODELING USING WAVELET-HOLTWINTERS MODEL

Author(s)

NOURANI V. | SHARGHI E. | NAJAFI H. | Issue Writer Certificate

Keywords

MONTHLY MINIMUM TEMPERATUREQ1

MONTHLY RUNOFFQ1

MULTISCALE ANALYSISQ1

WAVELET AND HOLT-WINTERS HYBRID MODELQ1

Abstract

Doubtlessly hydroclimatic models play important role in the management of water resources. The hydroclimatic time series have three principle components (autoregressive, seasonality and stochastic) and the performance of the models are related to these components, In the current research, the wavelet transform was linked to the Holt-Winters (HW) model for prediction of MONTHLY RUNOFF in Lighvanchai (Iran), Trinity, and West Nishnabotna (US) watersheds and minimum temperature of Tabriz. The obtained results were compared with autoregressive and seasonal models such as ARIMA, seasonal ARIMA (SARIMA) and HW. For this purpose, the main time series were decomposed to some multi-frequency time series by wavelet transform. Then due to the univariated nature of the HW model, these subseries were imposed as input data to the HW models for two scenarios. In the first scenario only approximation subseries and one detail subseries (resulting from the accumulation of all details subseries) and in the second scenario all subseries were used as input to HW models. Results showed that the second scenario of hybrid wavelet-holtwinters model (WHW2) could lead to considerably increased accuracy of both runoff and temperature monthly modeling because of the MULTISCALE ANALYSIS and considering all multi-frequency subseries.

Cites

No record.

References

No record.

Cite

APA: Copy

NOURANI, V., SHARGHI, E., & NAJAFI, H.. (2018). HYDROCLIMATIC PHENOMENA MODELING USING WAVELET-HOLTWINTERS MODEL. IRAN-WATER RESOURCES RESEARCH, 14(1 ), 59-70. SID. https://sid.ir/paper/100301/en

Vancouver: Copy

NOURANI V., SHARGHI E., NAJAFI H.. HYDROCLIMATIC PHENOMENA MODELING USING WAVELET-HOLTWINTERS MODEL. IRAN-WATER RESOURCES RESEARCH[Internet]. 2018;14(1 ):59-70. Available from: https://sid.ir/paper/100301/en

IEEE: Copy

V. NOURANI, E. SHARGHI, and H. NAJAFI, “HYDROCLIMATIC PHENOMENA MODELING USING WAVELET-HOLTWINTERS MODEL,” IRAN-WATER RESOURCES RESEARCH, vol. 14, no. 1 , pp. 59–70, 2018, [Online]. Available: https://sid.ir/paper/100301/en

Related Journal Papers