Lake water-level fluctuation forecasting using machine learning models: a systematic review
Lake water-level fluctuation is a complex and dynamic process, characterized by high
stochasticity and nonlinearity, and difficult to model and forecast. In recent years …
stochasticity and nonlinearity, and difficult to model and forecast. In recent years …
A systematic review on machine learning algorithms used for forecasting lake‐water level fluctuations
SR Sannasi Chakravarthy… - Concurrency and …, 2022 - Wiley Online Library
Globally, the water‐level fluctuations in lakes are a dynamic and complex process. The
fluctuation is characterized by higher non‐linearity and stochasticity, making it quite hard to …
fluctuation is characterized by higher non‐linearity and stochasticity, making it quite hard to …
Innovative trend analysis of precipitation in the Lake Issyk-Kul Basin, Kyrgyzstan
Y Alifujiang, J Abuduwaili, B Maihemuti, B Emin… - Atmosphere, 2020 - mdpi.com
The analysis of various characteristics and trends of precipitation is an essential task to
improve the utilization of water resources. Lake Issyk-Kul basin is an upper alpine …
improve the utilization of water resources. Lake Issyk-Kul basin is an upper alpine …
Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey
The predictive ability of a hybrid model integrating the Firefly Algorithm (FFA), as a heuristic
optimization tool with the Multilayer Perceptron (MLP-FFA) algorithm for the prediction of …
optimization tool with the Multilayer Perceptron (MLP-FFA) algorithm for the prediction of …
Impacts of climate change and water resources development on the declining inflow into Iran's Urmia Lake
Urmia Lake, the world's second largest hypersaline lake, has decreased in size over recent
decades primarily because inflow has diminished. This has caused serious socio …
decades primarily because inflow has diminished. This has caused serious socio …
The Lake Urmia environmental disaster in Iran: A look at aerosol pollution
Lake Urmia (LU) once was the second largest hypersaline lake in the world, covering up to
6000 km 2, but has undergone catastrophic desiccation in recent years resulting in loss of …
6000 km 2, but has undergone catastrophic desiccation in recent years resulting in loss of …
Real-time water level prediction of cascaded channels based on multilayer perception and recurrent neural network
Water level prediction is crucial to water diversion through cascaded channels, and the
prediction accuracies are still unsatisfying due to the difficulties and challenges caused by …
prediction accuracies are still unsatisfying due to the difficulties and challenges caused by …
A comprehensive investigation of the causes of drying and increasing saline dust in the Urmia Lake, northwest Iran, via ground and satellite observations, synoptic …
NH Hamzeh, K Shukurov, K Mohammadpour… - Ecological …, 2023 - Elsevier
Nowadays, dried lakes have turned into important dust sources with serious environmental,
climatic and socio-economic impacts. In this study, climatic, terrestrial and anthropogenic …
climatic and socio-economic impacts. In this study, climatic, terrestrial and anthropogenic …
Lake water quality assessment: a case study of Shahu Lake in the semiarid loess area of northwest China
A comprehensive assessment on lake water quality was carried out in Shahu Lake,
northwest China, to provide valuable information about present lake water quality for …
northwest China, to provide valuable information about present lake water quality for …
Lake water-level fluctuations forecasting using minimax probability machine regression, relevance vector machine, Gaussian process regression, and extreme …
Forecasting freshwater lake levels is vital information for water resource management,
including water supply management, shoreline management, hydropower generation …
including water supply management, shoreline management, hydropower generation …