A data-driven approach to river discharge forecasting in the Himalayan region: Insights from Aglar and Paligaad rivers
Yazarlar (4)
Vikram Kumar
Government Of Bihar, Hindistan
Government Of Bihar, Hindistan
Dr. Öğr. Üyesi Selim ÜNAL Kastamonu Üniversitesi, Türkiye
Suraj Kumar Bhagat
Ton-Duc-Thang University
Ton-Duc-Thang University
Tiyasha Tiyasha
Dev Bhoomi Uttarakhand University, Hindistan
Dev Bhoomi Uttarakhand University, Hindistan
| Makale Türü |
Özgün Makale
(ESCI dergilerinde yayınlanan tam makale)
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| Dergi Adı | Results in Engineering | ||
| Dergi ISSN | 2590-1230 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | ESCI | ||
| Makale Dili | Türkçe | Basım Tarihi | 03-2024 |
| Cilt / Sayı / Sayfa | 22 / 1 / 102044–0 | DOI | 10.1016/j.rineng.2024.102044 |
| Makale Linki | http://dx.doi.org/10.1016/j.rineng.2024.102044 | ||
| Özet |
| This study aims to better understand the time series forecasting of Aglar and Paligaad rivers' discharge (which has a significant impact on the Himalayan river) using advanced time series methods such as Holt-Winters (HW) additive method, Simple exponential smoothing (SES), and Non-seasonal auto-regressive integrated moving average (ARIMA) models. This study used antecedent discharge information to forecast the next event. Comprehensive statistical examinations were conducted and analyzed. The highly stochastic nature of these river discharge trends adds complexity to the forecasting efforts and requires sophisticated modeling techniques that are capable of capturing and interpreting such variability accurately. The models proposed in the current study provide a reliable forecast for the next 15 months using 31 months of recorded river discharge data. The forecast analysis shows that both the HW and … |
| Anahtar Kelimeler |
| Forecasting | Holt-winters (HW) additive | Non-seasonal ARIMA | Paligaad | River discharge | Simple exponential smoothing (SES) | Time series analysis |
Science Direct
A data-driven approach to river discharge forecasting in the Himalayan region: Insights from Aglar and Paligaad rivers
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 18 |
| Scopus | 19 |
| Google Scholar | 30 |