A novel approach for prediction of daily streamflow discharge data using correlation based feature selection and random forest method

Levent LATİFOĞLU

doi:https://doi.org/10.35860/iarej.987245

Makale detayları

A novel approach for prediction of daily streamflow discharge data using correlation based feature selection and random forest method

Yazarlar:

Levent LATİFOĞLU

Yayıncı:

Ceyhun YILMAZ

Ana Başlıklar:

İnşaat mühendisliği

Dergi:

International Advanced Researches and Engineering Journal 2022 Vol.6 Issue 1, pp.1-7

Belge Tipi:

Makale

Yayın Tarihi:

4/2022

Belge Dili:

İngilizce

Document ID (Org No.):

2000469186

Sıklık:

Üç Yıllık

eISSN:

2618-575X

DOI:

https://doi.org/10.35860/iarej.987245

Özet:

 

The accurate methods for the forecasting of hydrological characteristics are significantly important for water resource management and environmental aspects. In this study, a novel approach for daily streamflow discharge data forecasting is proposed. Streamflow discharge, temperature, and precipitation data were used for feature extraction which were systematically employed for forecasting studies. While the correlation-based feature selection (CFS) was used for feature selection, Random Forest (RF) model is employed for forecasting of following 7 days. Moreover, an accuracy comparison between the RF model and CFS-RF model is drawn by using streamflow discharge data. Acquired results confirmed the accuracy of CFS-RF model for both, middle and extended forecasting times compared to RF model which had similar accuracy values for the closer forecasting times. Moreover, the CFS-RF model proved to be much robust for extended forecasting durations.

Makale detayları

A novel approach for prediction of daily streamflow discharge data using correlation based feature selection and random forest method

Yazarlar: Levent LATİFOĞLU

Yayıncı: Ceyhun YILMAZ

Ana Başlıklar: İnşaat mühendisliği

Dergi: International Advanced Researches and Engineering Journal 2022 Vol.6 Issue 1, pp.1-7

Belge Tipi: Makale

Yayın Tarihi: 4/2022

Belge Dili: İngilizce

Document ID (Org No.): 2000469186

Sıklık: Üç Yıllık

eISSN: 2618-575X

DOI: https://doi.org/10.35860/iarej.987245

Sayı

Yazarlar:

Levent LATİFOĞLU

Yayıncı:

Ceyhun YILMAZ

Ana Başlıklar:

İnşaat mühendisliği

Dergi:

International Advanced Researches and Engineering Journal 2022 Vol.6 Issue 1, pp.1-7

Belge Tipi:

Makale

Yayın Tarihi:

4/2022

Belge Dili:

İngilizce

Document ID (Org No.):

2000469186

Sıklık:

Üç Yıllık

eISSN:

2618-575X

DOI:

https://doi.org/10.35860/iarej.987245