Comparison of Stochastic Models in Forecasting Monthly Streamflow in Rivers: A Case Study of River Nile and Its Tributaries

Journals Menu

Follow SCIRP

ISSN Print: 1945-3094
ISSN Online: 1945-3108
www.scirp.org/Journal/jwarp
E-mail: jwarp@scirp.org

"Comparison of Stochastic Models in Forecasting Monthly Streamflow in Rivers: A Case Study of River Nile and Its Tributaries"
written by Mohammed A. Elganiny, Alaa Esmaeil Eldwer,
published by Journal of Water Resource and Protection, Vol.8 No.2, 2016

has been cited by the following article(s):

[1]	Forecasting the annual flow rate of the Tigris river using stochastic modelling
	2020

[2]	Application of Seasonal Time Series Models for Prediction of Monthly Inflow to Yamchi and Sabalan Reservoirs in Qarasu Catchment, Ardabil
	2020

[3]	Assessing the Improvement of Stability and Precision of Predicting the Time Series Models of River Flow under the influence of Differential Approach (Case …
	2020

[4]	کاربرد مدل‌های فصلی سری‌ زمانی در پیش‌بینی جریان ماهانه ورودی به مخزن سدهای یامچی و سبلان در حوضه آبخیز قره‌سو، اردبیل‎
	2020

[5]	ارزیابی بهبود ایستایی و دقت پیش‌بینی مدل‌های سری زمانی دبی رودخانه تحت تأثیر رهیافت تفاضل‌گیری) مطالعه موردی: رودخانه دز)‎
	Muhandisī-i ābyārī va āb, 2020

[6]	Comparative Study of Conventional and Computerized Reconstruction Techniques for Flow Time Series Data of Hydrometric Station
	2019

[7]	Enhancing the Forecasting of Monthly Streamflow in the Main Key Stations of the River Nile Basin
	Water Resources, 2018

Follow SCIRP

[1]	Long-Term Stochastic Modeling of Monthly Streamflow in River Nile Sustainability, 2023 DOI:10.3390/su15032170

[2]	Comparative Study of Conventional and Computerized Reconstruction Techniques for Flow Time Series Data of Hydrometric Station Water Resources Management, 2019 DOI:10.1007/s11269-019-2203-x