arrow
返回

Improved random vector functional link network with an enhanced remora optimization algorithm for predicting monthly streamflow

delete2025-04-01
delete0
PRE
AI
R
Reham R. Mostafa
M
Mo Wang *
K
Kulwinder Singh Parmar
Ö
Özgür Kişi *
M
Mohammad Zounemat‐Kermani
DOI:10.1016/j.jhydrol.2024.132496delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Precise and robust streamflow estimation is crucial for effective water resource management, particularly in mitigating extreme climatic events such as droughts and floods. This study introduces an innovative integration of the Random Vector Functional Link (RVFL) network with an Enhanced Remora Optimization Algorithm (EROA), specifically designed for monthly streamflow prediction. The RVFL-EROA is compared against standalone RVFL and RVFL models optimized using the Gorilla Troops Optimizer (GTO), Whale Optimization Algorithm (WOA), and the original Remora Optimization Algorithm (ROA). Performance is evaluated using statistical indices, including Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Coefficient of Determination (R2), and Nash-Sutcliffe Efficiency (NSE). The methodology is tested on streamflow time series data from the Kunhar River Basin in Pakistan, with input variables derived from antecedent streamflow, air temperature, and rainfall. Results indicate that temperature and streamflow-based inputs yielded higher accuracy compared to rainfall inputs. The RVFL-EROA outperformed other models, achieving improvements in mean RMSE, MAE, R2, and NSE by 8.63-1.77%, 12.08-1.58%, 16.88-3.33%, and 19.03-3.05%, respectively. Moreover, the RVFLEROA demonstrated superior performance in estimating peak streamflow values, which is critical for flood management. These findings highlight the potential of temperature-based inputs and RVFL-EROA models for streamflow prediction in data-scarce regions, particularly in developing countries. The proposed approach offers a reliable solution for enhancing hydrological forecasting and supports efficient water resource planning.
Keyword:
Streamflow prediction
Random vector functional link network
Enhanced remora optimization algorithm
Hydroclimatic data
Gorilla troops optimizer
Whale optimization algorithm

期刊

Journal of Hydrology 封面图
Journal of Hydrology
IF:
6.3
论文数:
2.3W
被引数:
9.8W

机构

Ilia State University 封面图
Ilia State University
学者数:
953
论文数: 731
被引数: 1.0K
E
egyptian knowledge bank (ekb)
学者数:
11.6W
论文数: 9.3W
被引数: 84
M
Mansoura University
学者数:
7.6K
论文数: 6.0K
被引数: 1.1W
G
Guangzhou University
学者数:
1.8W
论文数: 1.3W
被引数: 1.8W
I
i k gujral punjab technical university
学者数:
546
论文数: 584
被引数: 0
学者 查看更多机构
引用论文

引用论文

Nanofiltration membranes based on polyvinylidene fluoride nanofibrous scaffolds and crosslinked polyethyleneimine networks
err2012-06-28
err0
PREAI
errSeong-Jik Park; Ravi Kumar Cheedrala; Mamadou S. Diallo; Changmin Kim; In S. Kim; William A. Goddard
err分享
err收藏
err分享
err收藏
Improved energy density homopolar generator
err1986-11-01
err0
PREAI
errW. Walls; Wm. Weldon; M. Driga; S. Manifold; H. Woodson; J. Gully
err分享
err收藏
学者 查看更多内容