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Now showing items 1-32 of 32
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2023)
Due to a small proportion of observations, reliable and accurate flood forecasts for large floods present a fundamental challenge to artificial neural network models, especially when the forecast horizons exceed the flood ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2023)
Abstract Modelling hydrological process in the critical zone not only contributes to a better understanding of interactions across different Earth surface spheres but also holds significant practical implications for water ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2023)
Artificial neural networks exhibit significant advantages in terms of learning capability and generalizability, and have been increasingly applied in water quality prediction. Through learning a compressed representation ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewedPeer reviewed, 2023)
Most researches on regional flood frequency analysis (RFFA) have proved that the incorporation of hydrologic information (e.g., catchment attributes and flood records) from different sites in a region can provide more ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2023)
Traditional hydrological modeling methods use a set of parameters to simulate flood processes with complex causes and variable intensity, which can easily lead to parameter instability. To address the problem of parameter ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)
With the recent warming trend over Europe and the Arctic, the Nordic regions have experienced more frequent and damaging extreme hydrological events which are anticipated to increase towards the end of the 21st century. ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)
Energy efficiency is crucial to greenhouse gas (GHG) emission pathways reported by the Intergovernmental Panel on Climate Change. Electrical overload frequently occurs and causes unwanted outages in distribution networks, ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
Abstract
Quantifying the uncertainty of non-stationary flood frequency analysis is very crucial and beneficial for planning and design of water engineering projects, which is fundamentally challenging especially ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)
Accurate and reliable multi-step-ahead flood forecasting is beneficial for reservoir operation and water resources management. The Encoder-Decoder (ED) that can tackle sequence-to-sequence problems is suitable for ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)
Multi-objective flood control operation of cascade reservoirs is a vital issue in river basin management. However, traditional multi-objective approaches commonly provide one operation scheme only and fail to offer ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)
Making accurate and reliable probability density forecasts of flood processes is fundamentally challenging for machine learning techniques, especially when prediction targets are outside the range of training data. Conceptual ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
Abstract In this study, we aim to better understand the current and future projections of precipitation extremes in Europe in the context of climatic variability over a long-term period from the last millennium to the end ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2021)
Satellite-retrieved and atmospheric reanalysis precipitation can bridge the spatiotemporal gaps of in-situ gauging networks, but estimation biases can limit their reliable applications in hydrological monitoring and ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
In this study, a spatiotemporal estimation method based on Funk singular value decomposition (F-SVD) that considers the spatiotemporal correlation of rainfall is proposed to improve estimations from gauge observations. ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
While reliable drought prediction is fundamental for drought mitigation and water resources management, it is still a challenge to develop robust drought prediction models due to complex local hydro-climatic conditions and ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)
Hybrid hydropower and floating photovoltaic power generation has far-reaching effects on the intertwined water, food and energy (WFE) nexus, but the complementary operation is fundamentally challenging especially under ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)
Changing conditions of the climate and underlying surface have altered the rainfall-runoff relationships in many basins, greatly increasing additional challenges in the applicability of hydrological models for studying the ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
It is fundamentally challenging to quantify the uncertainty of data-driven flood forecasting. This study introduces a general framework for probabilistic flood forecasting conditional on point forecasts. We adopt an unscented ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
Abstract
Large-scale hydrological models are important tools for simulating the hydrological effect of climate change. As an indispensable part of the application of distributed hydrological models, large-scale ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)
The evolutionary algorithms can solve reservoir operation with a fast convergence rate whereas the major impediments in handling the joint operation of mega cascade reservoirs easily trigger the technical bottlenecks, i.e. ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
Ensemble weather forecasting generally suffers from bias and under‐dispersion, which limit its predictive power. Several post‐processing methods have been developed to overcome these limitations, and an intercomparison is ...
(Journal article / Tidsskriftartikkel / SubmittedVersion, 2020)
Practical application of hydrological models requires parameter transfer, both temporally and spatially, to compensate for the lack of data. In this study, the transferability of parameters is evaluated using a lumped ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
The Space-Time Image Velocimetry (STIV) is a time-averaged velocity measurement method, which takes river surface images as the analysis object, and detects the Main Orientation of Texture (MOT) in a generated Space-Time ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
Abstract Recent events across many regions around the world have shown that short-term droughts (i.e., daily or weekly) with sudden occurrence can lead to huge losses to a wide array of environmental and societal sectors. ...
Emergency Disposal Solution for Control of a Giant Landslide and Dammed Lake in Yangtze River, China
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Although landslide early warning and post-assessment is of great interest for mitigating hazards, emergency disposal solutions for properly handling the landslide and dammed lake within a few hours or days to mitigate flood ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Summer monsoon rainfall forecasting in the Yangtze River basin is highly valuable for water resource management and for the control of floods and droughts. However, improving the accuracy of seasonal forecasting remains a ...
Does the weighting of climate simulations result in a better quantification of hydrological impacts?
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
With the increase in the number of available global climate models (GCMs), pragmatic questions come up in using them to quantify climate change impacts on hydrology: is it necessary to unequally weight GCM outputs in the ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
The hydrological regimes of downstream reservoirs have been significantly altered due to the operation and regulation of upstream cascade reservoirs. The original design flood quantiles, namely “design flood in construction ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Hydropower operating rules can guide reservoir release and storage for maximizing hydropower generation. The optimal hydropower operating rules are usually derived by numerical hydropower simulation methods. This study ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
Satellite precipitation estimates (SPE) product with high spatiotemporal resolution is a potential alternative to traditional ground-based gauge precipitation. However, SPE is frequently biased due to its indirect measurement, ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
Satellite precipitation estimates (SPE), characterized by high spatial-temporal resolution, have been increasingly applied to hydrological modeling. However, the errors and bias inherent in SPE are broadly recognized. Yet, ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2017)
In this paper, a process‐based analytical derivation approach is proposed to perform a nonstationary analysis for annual runoff distribution by taking into account the information of nonstationarities in both hydrological ...