Keynote Speakers/主讲嘉宾

Keynote Speakers/主讲嘉宾


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Prof. Zhenxiang Xing   邢贞相 教授

School of Water Conservancy and Civil Engineering, Northeast Agricultural University  水利与土木工程学院   东北农业大学


Research Area   研究领域

Hydrologic modelling, hydrologic uncertainty analysis and probabilistic forecasting

水文模拟、水文不确定性分析和概率预测


Speech Title   演讲题目 

"AM-MCMC Applied in Combined Model to Deal with the Uncertainty of Weights of Single Models"

”在组合模型中应用AM-MCMC来处理单个模型权值的不确定性“


Abstract: Reliability and validity of model prediction play a decisive role in water resource simulation and prediction. Among many prediction models, the combined model (CM) is widely used because it can combine the prediction results of multiple single models and make full use of the information provided by various methods. CM is an effective method to improve the predictive veracity but the weight of single model estimation is the key to the CM. Previous studies take errors as the objective function to calculate the weight and usually without considering the uncertainty of weight of individual model. In order to consider the uncertainty of the weight and to improve universal applicability of the CM, we intend the Markov chain Monte Carlo based on Adaptive Metropolis algorithm (AM-MCMC) to solve the weight of a single model in the CM, and obtain the probability distribution of the weight and the joint probability density of all the weight. Then, the optimal weight combination is obtained. In order to test the validity of the established model, we put it into the prediction of monthly groundwater level. The two single models in the CM are time series analysis model (TSAM) and grey model (GM(1,1)) respectively. The case study showed that the uncertainty characteristic of the weight in the CM can be obtained by AM-MCMC. According to the study results, CM has a good performance for groundwater level forecasting.

 





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Prof. Genquan Qin   秦根泉 教授  

Strong Technology Co.,LTD    四创科技有限公司


Research Area  研究领域

Water Conservancy Engineering Structure &Water Conservancy Informatization Research

水利工程结构与水利信息化研究


Speech Title  演讲题目 

"Integration and Application of Key Technologies  for River and Lake Water Environment and Treatment in the New Era"

”新时期河湖水环境治理关键技术融合应用“





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Prof. Ibtisam Kamal

Soran University, Chemical Engineering Department


Research Area  研究领域

Process system engineering

化工系统工程


Speech Title  演讲题目 

"Batch and Continuous Adsorption Processes for Removing Contaminants from Wastewater"

”间歇式和连续吸附法去除废水中的污染物“


Abstract: The world attention to reducing and regulating water pollution become a vital issue owing to the growth of world's population, increasing the environmental pollution and the decrease in the sources of clean water. Prevention of waste disposal in land and water sources without treatment has paid lot of interest due to its importance for environmental, economic and social aspects of sustainability. Wastewater may contain large levels of pollutants including inorganic and organic compounds may release from municipal and industrial facilities. Discharging wastewater to water resources without treatment will cause serious problems to the aquatic environment and decrease the water quality making water stream unserviceable for drinking purposes. Accordingly, water treatment stakeholders have evolved considerably to explore new water treatment technologies. The adsorption technique has become more popular in recent years for treatment of hazardous effluents. Treatment by adsorption process is effective, simple design, cheap, easy to adopt and scale-up compared to the other conventional treatment in water pollution control. The speech will focus on highlighting the using of adsorption processes for removing of contaminants from wastewater, the adsorption modes; batch and continuous, adsorption process design, operating variables, adsorption kinetics and isotherms, mechanisms and adsorption process optimization. The role of using green adsorbents derived from natural and industrial by-products, and applying the green sustainability concepts in water pollution remediation using the adsorption techniques will be demonstrated.