Shouke Wei

Yantai University · School of Computer and Control Engineering

This study applied game theory based models to analyze and solve water conflicts concerning water allocation and nitrogen reduction in the Middle Route of the South-to-North Water Transfer Project in China. The game simulation comprised two levels, including one main game with five players and four sub-games with each containing three sub-players....

This study develops a complex system dynamics model (SD) reflecting interactions between water resources, Environmental Flow (EF) and socio-economy using SD software package “Vensim PLE”. The proposed model is employed to assess socio-economic impacts of different levels of EF allocation in the Weihe River Basin of China. Four alternative socio-eco...

Article (Zhao2020) Zhao, J.; Wei, S.; Wen, X. & Qiu, X. Analysis and prediction of big stream data in real-time water quality monitoring system Journal of Ambient Intelligence and Smart Environments, 2020, 1-14 Abstract: Large scale real-time water quality monitoring system usually produces vast amounts of high frequency data, and it is diffi...

Human action recognition (HAR) plays an important role in social interaction in various fields. This study proposes a light-weight skeleton and two-layer bidirectional LSTM-based Seq2Seq model (SB2_Seq2Seq) for HAR to trade off recognition accuracy, users’ privacy and computer resource usage. An experiment was conducted to compare the proposed SB2_...

This study developed a wavelet transformation and nonlinear autoregressive (NAR) artificial neural network (ANN) hybrid modeling approach to improve the prediction accuracy of river discharge time series. Daubechies 5 discrete wavelet was employed to decompose the time series data into subseries with low and high frequency, and these subseries were...

With the increasing use of wireless sensor networks in water quality monitoring, an enormous amount of streaming data is generated by widely deployed sensors. However, the current batch mode used for data analysis can no longer meet the diverse combination of monitoring indicators and the requirement for timely analysis results on an all-weather ba...

This paper developed wavelet decomposition and Seq2Seq hybrid models (W-Seq2Seq) to predict water quality. Four Seq2Seq models, namely one-layer unidirectional model (Uni1), one-layer bidirectional model (Bi1), two-layers unidirectionalmodel (Uni2) and two-layers bidirectional model (Bi2) were proposed in this study. Daubechies5 (db5) wavelet was u...

Human behavior is an essential component of social interaction and is of great significance to identify and analyze human behaviors in a variety of fields. Due to the rapid development of computer vision and machine learning technology, machine with intelligence has started replacing human beings to observe, perceive and analyze the explosive growt...

There is an increasing awareness on importance of Environmental Flow (E-flow) in hydrology and watershedmanagement, and environmental attitudes and socio-economic status of locals usually impactE-flow alloca-tion levels. This study develops a system index to analyze these impacts based on a questionnaire surveyon households in the Weihe River Basin...

Water is an indispensable source of human being and other living species, thus it has significant value of social economy and ecosystem to establish water quality prediction model. This study developed a W-LSTM time series model to predict water quality based on wavelet decomposition and LSTM. Daubechies5 (db5) wavelet was used to decompose water q...

Due to rapid socioeconomic development, continuous population growth and urbanization, the world is facing a severe shortage of fresh water, particularly in arid and semi-arid regions. A lack of water will put pressure on agricultural production, water pollution, as well as eco-environmental degradation. Traditional water resources assessment mainl...

A wavelet-neural network (WNN) hybrid modelling approach for monthly river flow estimation and prediction is developed. This approach integrates discrete wavelet multi-resolution decomposition and a back-propagation (BP) feed-forward multilayer perceptron (FFML) artificial neural network (ANN). The Levenberg-Marquardt (LM) algorithm and the Bayesia...

A wavelet-neural network (WNN) hybrid modelling approach for monthly river flow estimation and prediction is developed. This approach integrates discrete wavelet multi-resolution decomposition and a back-propagation (BP) feed-forward multilayer perceptron (FFML) artificial neural network (ANN). The Levenberg-Marquardt (LM) algorithm and the Bayesia...

Accurate assessment of water deficit and related uncertainties in water-scarce areas is strategically important in various fields of water resources management. This study developed a hybrid approach integrating conceptual water balance model and econometric regression to estimate water shortage and its related uncertainties in water-scarce areas....

Accurate simulation and prediction of the dynamic behaviour of a river discharge over any time interval is essential for good watershed management. It is difficult to capture the high-frequency characteristics of a river discharge using traditional time series linear and nonlinear model approaches. Therefore, this study developed a wavelet-neural n...

This study developed a wavelet transformation and nonlinear autoregressive (NAR) artificial neural network (ANN) hybrid modeling approach to improve the prediction accuracy of river discharge time series. Daubechies 5 discrete wavelet was employed to decompose the time series data into subseries with low and high frequency, and these subseries were...

Energy is vital to the survival and development of human beings. The increasing demand for energy and the related environmental problems have become an extremely important issue. China takes the first place in energy production and the second in consumption in the world. It is playing and will continue to play an important international role in ene...

Bangladesh has a unique hydro-geological setting and deltaic floodplain which is jointly formed by the deposition of the Ganges (Padma), Brahmaputra (Jamuna) and Meghna River. The physical characteristics of the geographic location, river morphology and the monsoon climate render Bangladesh highly vulnerable to natural disasters, primarily, floods...

Statistic and econometric regression models were established in this study to analyze and predict industrial water demand, water deficits, and their future uncertainty in Beijing—a Chinese city with a severe water stress problem. A forecasting model was selected based on a modeling evaluation by comparing predictions with observations. Four scenari...

This paper demonstrates a practical simulation approach to analyze domestic water demand and its future uncertainty in water scarce areas through a case study of Beijing, China. Analytic models and a forecasting model were constructed using statistic and econometric regression approaches. The analytic models were used to analyze the interrelationsh...

The non-cooperative and cooperative game methods were applied to simulate and analyze the benefit conflicts among multiple water stakeholders involved in water management of the South-to-North Transfer Project in China.The statistical and economic regression models were used to formulate the payoff functions of different payers.The cost-benefit ana...

Water quality degradation and water scarcity are two serious problems, and water resources management related to those problems usually involves conflicts. In the absence of market and exclusive property rights, those conflicts are unavoidable. Game theory is an appropriate approach to simulate and resolve such conflicts. The overall objective of t...

Water quality degradation and water scarcity are two serious problems in developing countries. Water management related to these problems usually involves multi-stakeholders with contradictory interests. In the absence of market and exclusive property rights, conflicts among those multi-stakeholders are unavoidable. Game theory can be an appropriat...

Water allocation is an important and complicated issue in natural resource management. It usually involves water demand and water supply conflicts. However, most of the existing water allocation approaches usually do not function well in solving those conflicts. On the one hand, market-based water allocation is efficient for different users. On the...

China has abundant heritage sites, and the number of its World Heritage Sites take the third place in the world. World heritage sites are playing and will continue to play an important role in the economic growth and the maintenance of critical life-support systems all over the world. The role of economic development is realized mainly through tour...