Results 51 to 60 of about 25,373 (313)
Scientific ReportsPredicting runoff with precision holds immense importance for flood control, water resource management, and basin ecological dispatch. Deep learning, especially long short-term memory (LSTM) neural networks, has excelled in runoff prediction, often ...
Miao He +4 more
doaj +1 more source
Applying Multiscale Entropy to the Complexity Analysis of Rainfall-Runoff Relationships
Entropy, 2012 This paper presents a novel framework for the complexity analysis of rainfall, runoff, and runoff coefficient (RC) time series using multiscale entropy (MSE).
Chien-Ming Chou
doaj +1 more source
An exploration of neural networks for real-time flood forecasting [PDF]
, 2011 This thesis examines Artificial Neural Networks (ANNs) for rainfall-runoff modelling. A simple ANN was first developed to predict floods in the city of Rome, located in the Tiber River basin.
Napolitano, Giulia
core
Hillslope rainfall-infiltration-runoff-erosion model
, 2020 The normalized hillslope rainfall-runoff and soil erosion model was proposed in Wu et al. (2017) . The rigorous theoretical framework based on the widely accepted mechanistic infiltration, runoff, and soil erosion models, including the normalized Green ...
Songbai Wu (8535291)
core +1 more source
Biofuels, Bioproducts and Biorefining, EarlyView.Abstract Post‐harvest agricultural residues in Latin America are commonly underutilized, leading to greenhouse gas emissions and lost opportunities for bio‐based value creation. This study tests the hypothesis that decentralized, farmer‐scale pyrolysis technologies can deliver comparable agronomic benefits while exhibiting distinct techno‐economic and ...
Juan F. Saldarriaga +7 more
wiley +1 more source
Journal of Flood Risk ManagementA laboratory‐based physical modeling environment has great potential to reproduce the complex physical hydrologic phenomena and understand the interactions of rainfall‐runoff processes in a visual and informative manner.
Haksoo Kim, Hojun Keum
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SWAT and IHACRES models for the simulation of rainfall-runoff of Dez watershed
, 2022 Due to the scarcity of meteorological observation stations in some areas, there is not enough data available for hydrological simulation as one of the main subjects of hydrology and environmental subjects.
Babazadeh, Hossein +3 more
core +1 more source
The influence of rivers on seabird foraging ecology
Biological Reviews, EarlyView.ABSTRACT Rivers act as vital arteries to the world's oceans, delivering fresh water and nutrients that sustain marine ecosystems. Globally, river flow increasingly is being altered by climate change and anthropogenic pressures; yet the significance of rivers to predatory marine species, such as seabirds, and the extent to which river‐related changes ...
Julia B. Morais +2 more
wiley +1 more source
, 2023 Abstract. A deep learning model designed for time series predictions, the long short-term memory (LSTM) architecture is regularly producing reliable results in local and regional rainfall-runoff applications around the world. Recent large-sample-hydrology studies in North America and Europe have shown the LSTM to successfully match conceptual model ...
Clark, Stephanie R. +3 more
openaire +2 more sources
Biological Reviews, EarlyView.ABSTRACT The rapid global expansion of photovoltaic (PV) solar facilities, now comprising nearly 80% of the recent and projected growth of renewable electricity, represents one of the most significant land‐use changes of the 21st century. While PV facilities are critical for decarbonising energy systems, their large spatial footprint and infrastructure
Tom Armstrong +4 more
wiley +1 more source