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A flood-crest forecast prototype for river floods using only in-stream measurements
Streamflow forecasting generally relies on coupled rainfall-runoff-routing models calibrated and executed with data estimated by monitoring protocols...
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A Comparison of Long Short-Term Memory and Artificial Neural Network for Water Level Forecasting at Klang Gates Dam
The exponential increase in water demand and rapidly changing climate cause fewer freshwater resources and more natural disasters. A more concrete...
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A comparative study of models for short-term streamflow forecasting with emphasis on wavelet-based approach
Skilful short-term streamflow forecasting is a challenging task, but useful for addressing a variety of issues associated with water resources...
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Monthly inflow forecasting utilizing advanced artificial intelligence methods: a case study of Haditha Dam in Iraq
Accuracy of reservoir inflow forecasting is an important issue for the reservoir operation and water resources management. The main aim of the...
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Study of temporal streamflow dynamics with complex networks: network construction and clustering
Applications of the concepts of complex networks for studying streamflow dynamics are gaining momentum at the current time. The present study applies...
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Forecasting Sea Level Rise-driven Inundation in Diked and Tidally Restricted Coastal Lowlands
Diked and drained coastal lowlands rely on hydraulic and protective infrastructure that may not function as designed in areas with relative sea-level...
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Investigating the utility of satellite-based precipitation products for simulating extreme discharge events: an exhaustive model-driven approach for a tropical river basin in India
Satellite-based precipitation estimates are a critical source of information for understanding and predicting hydrological processes at regional or...
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Wastewater inflow time series forecasting at low temporal resolution using SARIMA model: a case study in South Australia
Forecasts of wastewater inflow are considered as a significant component to support the development of a real-time control (RTC) system for a...
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Analyzing Agricultural Land Use with Cellular Automata-MARCOV and Forecasting Future Marine Water Quality Index: A Case Study in East Coast Peninsular Malaysia
The land use/land cover pattern of a region is an outcome of natural and socioeconomic factors and the utilisation by humans in time and space. This...
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Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction
Accurate and reliable prediction of streamflow is vital to the optimization of water resources management, reservoir flood operations, catchment, and...
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A dynamic information extraction method for areal mean rainfall error and its application in basins of different scales for flood forecasting
In this study, we proposed and tested a method based on system response curve (SRC) to extract the error information of areal mean rainfall. These...
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Application of deep learning approaches to predict monthly stream flows
Accurate and reliable flow estimations are of great importance for hydroelectric power generation, flood and drought risk management, and the...
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Spatio temporal hydrological extreme forecasting framework using LSTM deep learning model
Hydrological extremes occupy a large spatial extent, with a temporal sequence, both of which can be influenced by a range of climatological and...
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Application of empirical mode decomposition, particle swarm optimization, and support vector machine methods to predict stream flows
Modeling stream flows is vital for water resource planning and flood and drought management. In this study, the performance of hybrid models...
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Mid-long term forecasting of reservoir inflow using the coupling of time-varying filter-based empirical mode decomposition and gated recurrent unit
Accurate and reliable runoff forecast is beneficial to watershed planning and management and scientific operation of water resources system. However,...
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Hybrid deep learning method for a week-ahead evapotranspiration forecasting
Reference crop evapotranspiration (ET o ) is an integral hydrological factor in soil–plant-atmospheric water balance studies and the management of...
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Optimization algorithms as training approach with hybrid deep learning methods to develop an ultraviolet index forecasting model
The solar ultraviolet index (UVI) is a key public health indicator to mitigate the ultraviolet-exposure related diseases. This study aimed to develop...
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Develo** NARX Neural Networks for Accurate Water Level Forecasting
A reliable model for predicting fluctuations in water levels in the reservoir is essential for effective planning to manage the potential risks of...
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Exploring spatiotemporal chaos in hydrological data: evidence from Ceará, Brazil
The complexity of hydrological data requires an understanding of its spatiotemporal evolution for effective modeling and prediction. In this study,...
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Modeling the hydrological response of a snow-fed river in the Kashmir Himalayas through SWAT and Artificial Neural Network
Accurate streamflow data and its appropriate treatment are of paramount importance for water resource management. With the growing role of...
