Browsing Institutt for geofag by Author "Zhou, Yanlai"
Now showing items 21-26 of 26
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Zhou, Yanlai (Journal article / Tidsskriftartikkel / SubmittedVersion, 2020)Quantifying the uncertainty of probabilistic water quality forecasting induced by missing input data is fundamentally challenging. This study introduced a novel methodology for probabilistic water quality forecasting ...
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Kow, Pu-Yun; Wang, Yi-Shin; Zhou, Yanlai; Kao, I-Feng; Issermann, Maikel; Chang, Li-Chiu; Chang, Fi-John (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)The fine particulate matter (e.g. PM2.5) gains an increasing concern of human health deterioration. Modelling PM2.5 concentrations remains a substantial challenge due to the limited understanding of the dynamic processes ...
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Zhou, Yanlai; Cui, Zhen; Lin, Kangling; Sheng, Sheng; Chen, Hua; Guo, Shenglian; Xu, Chong-Yu (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 ...
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Zhou, Yanlai; Guo, Shenglian; Xu, Chong-Yu; Chang, Fi‐John; Chen, Hua; Liu, Pan; Ming, Bo (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. ...
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Li, Hong; Gao, Hongkai; Zhou, Yanlai; Storteig, Ina Cecilie; Nie, Linmei; Sælthun, Nils Roar; Xu, Chong-Yu (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)The Storm Water Management Model (SWMM) has been globally used for stormwater management. However, the calibration and evaluation of SWMM for historical rainfall–runoff events in partially separated and combined drainage ...
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Li, Hong; Gao, Hongkai; Zhou, Yanlai; Xu, Chong-Yu; Ortega, Rengifo; Sælthun, Nils Roar (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)Abstract There has been a surge of interest in the field of urban flooding in recent years. However, current stormwater management models are often too complex to apply on a large scale. To fill this gap, we use ...