Browsing Institutt for geofag by Author "Zhou, Yanlai"
Now showing items 1-20 of 26
-
Cui, Zhen; Zhou, Yanlai; Guo, Shenglian; Wang, Jun; Ba, Huanhuan; He, Shaokun (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)Abstract The conceptual hydrologic model has been widely used for flood forecasting, while long short-term memory (LSTM) neural network has been demonstrated a powerful ability to tackle time-series predictions. ...
-
Zhou, Yanlai; Chang, Fi‐John; Chang, Li-Chiu; Lee, Wei-De; Huang, Angela; Xu, Chong-Yu; Guo, Shenglian (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 ...
-
Jain, Sharad K.; Xu, Chong-Yu; Zhou, Yanlai (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)Abstract Rainfall characteristics are changing due to several reasons and change/trend detection is required. Literature survey reveals many relevant studies whose outcomes are divergent, possibly because different data ...
-
Zhou, Yanlai; Zhu, Di; Chen, Hua; Guo, Shenglian; Xu, Chong-Yu; Chang, Fi-John (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, ...
-
Detection and Attribution of Norwegian Annual Precipitation Variability Related to Teleconnections Zhou, Yanlai; Ruan, Gusong; Xu, Chong-Yu; Xiong, Lihua; Jain, Sharad K.; Li, Lu (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)Detection and attribution of precipitation variability are fundamentally challenging, especially in the presence of complex nonlinear relationships between precipitation variability and large-scale teleconnections. The aim ...
-
Gong, Yu; Liu, Pan; Cheng, Lei; Chen, Guiya; Zhou, Yanlai; Zhang, Xiaoqi; Xu, Weifeng (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)The dynamic control of reservoir water level during flood seasons (WLFS) allows a trade‐off between flood control and water resources conservation. In this process, the WLFS dynamic control boundaries are key parameters. ...
-
Cui, Zhen; Zhou, Yanlai; Guo, Shenglian; Wang, Jun; Xu, Chong-Yu (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 ...
-
Emergency Disposal Solution for Control of a Giant Landslide and Dammed Lake in Yangtze River, China Chen, Guiya; Zhao, Xiaofeng; Zhou, Yanlai; Guo, Shenglian; Xu, Chong-Yu; Chang, Fi-John (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 ...
-
Sheng, Sheng; Chen, Hua; Lin, Kangling; Zhou, Yanlai; Wang, Jinxing; Chen, Jie; Xiong, Lihua; Guo, Shenglian; Xu, Chong-Yu (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 ...
-
Kao, I-Feng; Zhou, Yanlai; Chang, Li-Chiu; Chang, Fi-John (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)Operational flood control systems depend on reliable and accurate forecasts with a suitable lead time to take necessary actions against flooding. This study proposed a Long Short-Term Memory based Encoder-Decoder (LSTM-ED) ...
-
Zhu, Di; Chen, Hua; Zhou, Yanlai; Xu, Xinfa; Guo, Shenglian; chang, fi-john; Xu, Chong-Yu (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 ...
-
Sheng, Sheng; Lin, Kangling; Zhou, Yanlai; Chen, Hua; Luo, Yuxuan; Guo, Shenglian; Xu, Chong-Yu (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 ...
-
Lin, Kangling; Chen, Hua; Zhou, Yanlai; Sheng, Sheng; Luo, Yuxuan; Guo, Shenglian; Xu, Chong-Yu (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 ...
-
Lin, Kangling; Sheng, Sheng; Chen, Hua; Zhou, Yanlai; Luo, Yuxuan; Xiong, Lihua; Guo, Shenglian; Xu, Chong-Yu (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 ...
-
Zhou, Yanlai; Chang, Fi-John; Chen, Hua; Li, Hong (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)Quantifying predictive uncertainty of ensemble air quality forecast is very crucial and challenging. This study integrated a Copula-based Bayesian Model Averaging (CBMA) and multiple deterministic artificial neural networks ...
-
Zhou, Yanlai (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)The changing climate and reservoir storage have a far-reaching influence on the nonstationarity in flood peaks worldwide, but the quantification of the relative contribution of each covariate (i.e., climate and reservoir ...
-
Chen, Lu; Sun, Na; Zhou, Chao; Zhou, Jianzhong; Zhou, Yanlai; Zhang, Junhong; Zhou, Qing (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)Flood forecasting plays an important role in flood control and water resources management. Recently, the data-driven models with a simpler model structure and lower data requirement attract much more attentions. An extreme ...
-
Zhou, Yanlai; Guo, Shenglian; Xu, Chong-Yu; Chang, Fi‐John; Yin, Jiabo (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 ...
-
Ngongondo, Cosmo; Zhou, Yanlai; Xu, Chong-Yu (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)Abstract Lake Malawi in south eastern Africa is a very important freshwater system for the socio-economic development of the riparian countries and communities. The lake has however experienced considerable recession ...
-
Zhou, Yanlai; Guo, Shenglian; Xu, Chong-Yu; Xiong, Lihua; Chen, Hua; Ngongondo, Cosmo S Abdul; Li, Lu (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 ...