Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters
S Shamshirband, E Jafari Nodoushan… - Engineering …, 2019 - Taylor & Francis
In this study, ensemble models using the Bates–Granger approach and least square method
are developed to combine forecasts of multi-wavelet artificial neural network (ANN) models …
are developed to combine forecasts of multi-wavelet artificial neural network (ANN) models …
[HTML][HTML] Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms
Floods and droughts are environmental phenomena that occur in Peninsular Malaysia due
to extreme values of streamflow (SF). Due to this, the study of SF prediction is highly …
to extreme values of streamflow (SF). Due to this, the study of SF prediction is highly …
A generalized linear stochastic model for lake level prediction
Endorheic lakes are one of the most important factors of an environment. Regarding their
morphology, these lakes, in particular saline lakes, are much more sensitive and can either …
morphology, these lakes, in particular saline lakes, are much more sensitive and can either …
[HTML][HTML] Opportunities and challenges for artificial intelligence applications in infrastructure management during the Anthropocene
SA Markolf, MV Chester, B Allenby - Frontiers in Water, 2021 - frontiersin.org
Pervasive and accelerating climatic, technological, social, economic, and institutional
change dictate that the challenges of the future will likely be vastly different and more …
change dictate that the challenges of the future will likely be vastly different and more …
Impact of the Three Gorges Reservoir on the hydrologic regime of the river-lake system in the middle Yangtze River
J Zhang, T Huang, L Chen, DZ Zhu, L Zhu… - Journal of Cleaner …, 2020 - Elsevier
The dynamic response of the river-lake systems to upstream reservoir regulation is one of
the increasingly essential research issues of watershed management. In this paper, the …
the increasingly essential research issues of watershed management. In this paper, the …
[HTML][HTML] An uncertainty assessment of reservoir system performance indices under the climate change effect
A Hakami-Kermani, H Babazadeh, J Porhemmat… - Ain Shams Engineering …, 2020 - Elsevier
The study aimed to evaluate the uncertainty indices in reservoir performance of Namrood-
Dam (Iran) that affected by climate change. To this end, downscaling was performed for the …
Dam (Iran) that affected by climate change. To this end, downscaling was performed for the …
Predicting reservoir volume reduction using artificial neural network
H Iraji, M Mohammadi, B Shakouri… - Arabian Journal of …, 2020 - Springer
One of the modern methods for predicting the behavior of natural phenomena is using
artificial neural network (ANN) model that predicts new data through applying experimental …
artificial neural network (ANN) model that predicts new data through applying experimental …
Performance of machine learning methods for modeling reservoir management based on irregular daily data sets: a case study of Zit Emba dam
Forecasting the volume of water allocated to drinking water supply (DWS) and irrigation is
strategic for efficient and effective planning and management of water mobilized by reservoir …
strategic for efficient and effective planning and management of water mobilized by reservoir …
Development and application of a GIS-based artificial neural network system for water quality prediction: A case study at the Lake Champlain area
F Lu, H Zhang, W Liu - Journal of Oceanology and Limnology, 2020 - Springer
Abstract Artificial Neural Network (ANN) models have been extensively applied in the
prediction of water resource variables, and Geographical Information System (GIS) includes …
prediction of water resource variables, and Geographical Information System (GIS) includes …
Enhancing Monthly Streamflow Prediction Using Meteorological Factors and Machine Learning Models in the Upper Colorado River Basin
Streamflow prediction is crucial for planning future developments and safety measures
along river basins, especially in the face of changing climate patterns. In this study, we …
along river basins, especially in the face of changing climate patterns. In this study, we …