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Francisca Lanai Ribeiro Torres, Luana Medeiros Marangon Lima, Michelle Simões Reboita, Anderson Rodrigo de Queiroz and José Wanderley Marangon Lima
Streamflow forecasting plays a crucial role in the operational planning of hydro-dominant power systems, providing valuable insights into future water inflows to reservoirs and hydropower plants. It relies on complex mathematical models, which, despite t...
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Bo Liu, Peng Zhang, Shubo Wu, Yajie Zou, Linbo Li and Shuning Tang
Parking duration analysis is an important aspect of evaluating parking demand. Identifying accurate distribution characteristics of parking duration can not only enhance parking efficiency and parking facility planning, but also provide essential support...
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The main goal of this paper is to determine the factors responsible for economic growth at the global level. The indication of the sources of economic growth may be an important element of the sustainable economic policy for development. The novelty of t...
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Harry R. Podschwit, Narasimhan K. Larkin, E. Ashley Steel, Alison Cullen and Ernesto Alvarado
Climate change is anticipated to influence future wildfire activity in complicated, and potentially unexpected ways. Specifically, the probability distribution of wildfire size may change so that incidents that were historically rare become more frequent...
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Haibo Chu, Jiahua Wei, Jiaye Li, Zhen Qiao, Jiongwei Cao
Pág. 1 - 16
Medium- and long-term runoff forecasting is essential for hydropower generation and water resources coordinated regulation in the Yellow River headwaters region. Climate change has a great impact on runoff within basins, and incorporating different clima...
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Haibo Chu, Jiahua Wei, Jiaye Li, Zhen Qiao and Jiongwei Cao
Medium- and long-term runoff forecasting is essential for hydropower generation and water resources coordinated regulation in the Yellow River headwaters region. Climate change has a great impact on runoff within basins, and incorporating different clima...
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Bo Qu, Xingnan Zhang, Florian Pappenberger, Tao Zhang, Yuanhao Fang
Pág. 1 - 13
Statistical post-processing for multi-model grand ensemble (GE) hydrologic predictions is necessary, in order to achieve more accurate and reliable probabilistic forecasts. This paper presents a case study which applies Bayesian model averaging (BMA) to ...
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Liang Xue
With the development of in-situ monitoring techniques, the ensemble Kalman filter (EnKF) has become a popular data assimilation method due to its capability to jointly update model parameters and state variables in a sequential way, and to assess the unc...
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Guohua Fang, Yuxue Guo, Xianfeng Huang, Martine Rutten and Yu Yuan
Various regression models are currently applied to derive functional forms of operating rules for hydropower reservoirs. It is necessary to analyze and evaluate the model selecting uncertainty involved in reservoir operating rules for efficient hydropowe...
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Guohua Fang, Yuxue Guo, Xianfeng Huang, Martine Rutten and Yu Yuan
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Bastian Klein, Dennis Meissner, Hans-Ulrich Kobialka and Paolo Reggiani
Predictive uncertainty (PU) is defined as the probability of occurrence of an observed variable of interest, conditional on all available information. In this context, hydrological model predictions and forecasts are considered to be accessible but yet u...
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Bastian Klein, Dennis Meissner, Hans-Ulrich Kobialka, Paolo Reggiani
Pág. 1 - 22
Predictive uncertainty (PU) is defined as the probability of occurrence of an observed variable of interest, conditional on all available information. In this context, hydrological model predictions and forecasts are considered to be accessible but yet u...
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Van-Thep Nguyen,Day-Yang Liu
Pág. 187 - 194
This study aims to check whether ownership structure affects Vietnamese commercial banks? profitability or not and identify factors influencing Vietnamese commercial banks? profitability as well. Utilizing the Bayesian Model Averaging (BMA) model applyin...
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Krzysztof Drachal and Michal Pawlowski
This study firstly applied a Bayesian symbolic regression (BSR) to the forecasting of numerous commodities? prices (spot-based ones). Moreover, some features and an initial specification of the parameters of the BSR were analysed. The conventional approa...
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Anastasia Dimiski
Existing theoretical and empirical evidence on the determinants of students? performance reveals a direct link between pre-primary education and achievement test scores in primary school. Relying on the first-of-its-kind 2015 wave data from the Programme...
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Anastasia Dimiski
Pág. 157 - 211
Existing theoretical and empirical evidence on the determinants of students? performance reveals a direct link between pre-primary education and achievement test scores in primary school. Relying on the first-of-its-kind 2015 wave data from the Programme...
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Linus Zhang and Xiaoliu Yang
Given the substantial impacts that are expected due to climate change, it is crucial that accurate rainfall?runoff results are provided for various decision-making purposes. However, these modeling results often generate uncertainty or bias due to the im...
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Linus Zhang and Xiaoliu Yang
Given the substantial impacts that are expected due to climate change, it is crucial that accurate rainfall?runoff results are provided for various decision-making purposes. However, these modeling results often generate uncertainty or bias due to the im...
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Tobias Krueger
Pág. 138 - 148
Regulatory, low temporal resolution monitoring of freshwater quality does not fully capture the frequency distributions of the requisite parameters, particularly those that are highly skewed and heavy-tailed. Hence the summary statistics ultimately compa...
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