Application of hybrid machine learning models and data pre-processing to predict water level of watersheds: Recent trends and future perspective

SJ Mohammed, SL Zubaidi, S Ortega-Martorell… - Cogent …, 2022 - Taylor & Francis
The community's well-being and economic livelihoods are heavily influenced by the water
level of watersheds. The changes in water levels directly affect the circulation processes of …

Performance improvement of machine learning models via wavelet theory in estimating monthly river streamflow

K Wang, SS Band, R Ameri, M Biyari, T Hai… - Engineering …, 2022 - Taylor & Francis
River streamflow is an essential hydrological parameters for optimal water resource
management. This study investigates models used to estimate monthly time-series river …

Streamflow forecasting using a hybrid LSTM-PSO approach: the case of Seyhan Basin

B Haznedar, HC Kilinc, F Ozkan, A Yurtsever - Natural Hazards, 2023 - Springer
The conditions which affect the sustainability of water cause a number of serious
environmental and hydrological problems. Effective and correct management of water …

A long lead time forecast model applying an ensemble approach for managing the great Karun multi-reservoir system

E Mostaghimzadeh, SM Ashrafi, A Adib… - Applied Water Science, 2023 - Springer
Flow prediction is regarded as a major computational process in strategic water resources
planning. Prediction's lead time has an inverse relationship with results' accuracy and …

Monthly streamflow prediction and performance comparison of machine learning and deep learning methods

Ö Ayana, DF Kanbak, M Kaya Keleş, E Turhan - Acta Geophysica, 2023 - Springer
Streamflow prediction is an important matter for the water resources management and the
design of hydraulic structures that can be built on rivers. Recently, it has become a widely …

An approach on the estimation and temporal interaction of runoff: the band similarity method

V Yilmaz, C Koycegiz, M Buyukyildiz - Journal of Water and …, 2024 - iwaponline.com
This study is based on the investigation of the performance of the band similarity (BS)
method, which is quite new in the literature, in the prediction of flow and in determining the …

Global stochastic comprehensive sensitivity analysis based on robustness grou** and improved Pelican algorithm-optimized radial basis function neural network

T Guan, Y **ao, B Ren, P Chen… - Journal of Computational …, 2024 - academic.oup.com
Modeling analysis is one of the important means to analyze practical engineering, and as
technology continues to evolve, various models are getting closer and closer to reality, while …

Hybrid Daily Streamflow Forecasting Based on Variational Mode Decomposition Random Vector Functional Link Network-Based Ensemble Forecasting

S Heddam - Climate Change Impacts on Natural Resources …, 2023 - Springer
Streamflow forecasting using advance machine learning models have received great
importance during the last few years regarding its importance for water resources …

Hibrit Gri Kurt Optimizasyonu ile Kapılı Tekrarlayan Birim Modeli Kullanılarak Günlük Akım Tahmini

HÇ Kılınç, Y Öztürk - Avrupa Bilim ve Teknoloji Dergisi, 2022 - dergipark.org.tr
Sürdürülebilir su kaynakları sağlamak için akış tahmini gereklidir. Son zamanların popüler
programları arasında yer alan makine öğrenmesi (ML), nehir akışlarını tahmin etmede …

Hibrit Parçacık Sürüsü Optimizasyonu ile Geçitli Tekrarlayan Birim Modeli Kullanılarak Nehir Akım Tahmini: Ceyhan Havzası Örneği

Y Öztürk, HÇ Kılınç, A Polat - Avrupa Bilim ve Teknoloji Dergisi, 2022 - dergipark.org.tr
Su kaynaklarının verimli bir şekilde kullanılmasının en önemli yöntemlerinden biri havza
bazlı yönetimin etkin bir şekilde gerçekleştirilmesidir. Su kaynaklarının sürdürülebilir olması …