IC3E 2021 Speaker

Prof. Julian Scott Yeomans

(Keynote Speaker)

York University, Canada

Speech Title: Monte Carlo Enhancement Using Simulation Decomposition: Visual Analytics in Environmental Decision-Making

Abstract: Environmental and energy engineering problems frequently require the need for decision-making in situations containing considerable degrees of uncertainty. Monte Carlo simulation methods have been used in a wide array of environmental planning settings to incorporate these uncertain features. Simulation-generated outputs are commonly displayed as probability distributions. Recently simulation decomposition (SIMDEC) has enhanced the visualization of the cause-effect relationships of multi-variable combinations of inputs on the corresponding simulated outputs. SIMDEC is a visual analytics approach that partitions sub-distributions of the Monte Carlo outputs by pre-classifying selected input variables into states, grouping combinations of these states into scenarios, and then collecting simulated outputs attributable to each multi-variable input scenario. Since it is a straightforward task to visually project the contribution of the subdivided scenarios onto the overall output, SIMDEC can illuminate previously unidentified connections between the multi-variable combinations of inputs on the outputs. SIMDEC is readily generalizable to any Monte Carlo method with negligible additional computational overhead and can, therefore, be readily extended into most environmental analyses that use simulation models. This presentation provides a background to the overall SIMDEC methodology, highlights various areas for advancement, and demonstrates the relative efficacy of SIMDEC for supporting decision-making in environmental/energy engineering by highlighting a number of case applications.

Brief biography: Julian Scott Yeomans is a Professor of Operations Management and Information Systems at York University’s Schulich School of Business in Toronto, Canada. He holds degrees in management science/information systems, environmental engineering, and statistics. He generally teaches courses on VBA programming, business analytics, and spreadsheet-based decision support systems. He has published 5 books (including 3 on incorporating climate change uncertainties into environmental assessments) and over 125 peer-reviewed, academic journal articles on a wide spectrum of topics. His most recent research has focused on the applications of different combinations of simulation-optimization, machine learning, visual analytics, population-based metaheuristics, and modelling-to-generate-alternatives. Current application areas of these methods include environmental informatics, waste management, empirical finance, and the optimal osmotic dehydration of fruits, vegetables, and fungi.


Dr. David Z. Zhu

(Keynote Speaker)

University of Alberta, Canada

Speech Title: Eco-hydraulics for Sustainable Hydropower

Abstract: In this talk, I will discuss recent research development on eco-hydraulics related to sustainable hydropower. I will first talk about our research work on assessing fish entrainment risk related to dam intake operations for run-of-the river dams as well as deep dams. The effect of temperature stratifications on fish entrainment will be discussed. This will be followed by our current research on predicting and mitigating the generation of supersaturated total dissolved gases caused by dam spill events. The upstream migration of fish through vertical slot fishways and fishway hydraulics will then be discussed. Our recent study on the hydraulics and design of nature-like fishways using rock ramps will then be summarized.

Brief biography: Dr. David Zhu is a Professor in the Department of Civil and Environmental Engineering at the University of Alberta, Canada where he has been a faculty member since 1997. He is a Fellow of Canadian Academy of Engineering, the Canada’s NSERC Industrial Research Chair in Urban Drainage. His research focuses on sustainable hydropower power and sustainable urban drainage. He has published over two hundred SCI journal papers. Dr. Zhu received a number of national and international awards for his research work: including CSCE Dagenais Award for outstanding contributions in hydrotechnical engineering in Canada, ASCE 2017 Samuel Arnold Greeley Award, and 2018 Karl Emil Hilgard Prize. Dr. Zhu completed his PhD at the University of British Columbia and his BSc at Shanghai Jiaotong University.


Prof. Yongping Li

(Keynote Speaker)

Beijing Normal University, China

Speech Title: Modeling of urban agglomeration ecosystem management under uncertainty

Abstract: Urban agglomeration, comprising a group of cities in a specific geographical area, is a densely populated region with close economic connections. Urban agglomeration is often associated with high-density population and various interactions among multiple economic sectors, which can correspondingly bring more complexities to urban agglomeration management. System analysis techniques are effective tools that could help examine economic, environmental and ecological impacts of alternative pollution-control and resources-conservation actions, and thus aid planners or decision-makers in formulating cost-effective management policies. This research aims to develop assessment and optimization methods for reflecting a variety of uncertain, dynamic and nonlinear factors as well as to apply them to the Pear River Delta urban agglomeration that plays an important role in China’s economic development. Results are helpful for generating synergetic management strategies for urban agglomeration, which can effectively balance conflictive objectives among economic growth, resources conservation, and eco-environmental protection.

Brief biography: Yongping Li is a Professor at Beijing Normal University, China. She receives her MSc and PhD Degrees from the University of Regina, Canada. Her research interests involve in energy and environmental systems analysis, environmental pollution control, water resources management, and decision making under uncertainty. Since 2005, Li has led or involved in over 50 energy- and environment-related research projects supported by industrial, governmental and international organizations. She has produced over 350 peer-refereed international journal papers (with an SCI-based H-index of 40 in Science Citation Index under Thomson Reuters’ Web of Science), and supervised over 70 Master/PhD students. She has been continuously selected as a highly cited scholar in the field of “environmental science” (by Elsevier) since 2013. Dr. Li was received a number of awards such as Distinguished Young Scientist Award, New Century Excellent Talents in University, the National Natural Science Funds for Distinguished Young Scholar, the National Award for Youth in Science and Technology, and the National Award for Youth Female Scientist.


Dr. CHEN, Xiaohong

(Keynote Speaker)

Sun Yat-sen University, Guangzhou, China

Speech Title: Hydropower change of the water tower of Asia in 21st century: A case of the Lancang River hydropower base, upper Mekong

Abstract: This study evaluates the future change in hydropower potential and sustainability of the Tibetan Plateau (TP) in 21st century under climate change, using the Lancang River hydropower base (LRHB) in the upper Mekong basin (UMB) as a case study. Future climate projections simulated by five different global climate models (GCMs) individually and the variable infiltration capacity (VIC) distributed hydrological model coupled with a reservoir model are used to project the future hydropower outputs. Results present a generally ideal prospect for hydropower development in the UMB, as most GCMs illustrate overall increasing hydropower outputs of the plants along with the increasing reservoir inflow. The sustainability of the hydropower is also improved in most GCMs, with generally higher reliability and lower vulnerability; however, due to the large impact of increased climate variability, some GCMs show poorer sustainability for the hydropower plants in the future scenarios, even though its overall hydropower outputs are increased. Therefore, the negative influence of the increased variability of some passive GCM projections still indicates the risks for hydropower development in the TP and thus requires consideration. This study is expected to provide reference for further hydropower planning and development over the TP under climate change. Keywords: Hydropower potential; Hydropower sustainability; Climate change; Global climate model (GCM); Tibetan plateau; Upper Mekong basin

Brief biography: Dr. Xiaohong Chen is a Professor and the Director of Center for Water Resources & Environment, at Sun Yat-sen University, Guangzhou, China. He is the President-Elect of the International Commission of Water Quality in the International Association of Hydrological Sciences (ICWQ-IAHS). Vice-president of the Chinese Commission for IAHS. Vice president of Water Resources Society of Guangdong Province, China. He has fulfilled about 300 programs with funds over US$ 25 million, including 4 Key Programs of National Science Foundation of China, e.g., “Quantitative research on variability of hydrological features and the corresponding water resources response in the area of Pearl River Delta”, and “Comprehensive planning of water resources for Guangdong Province”, Key Program of Guangdong Province issued by Water Resources Department of Guangdong Province. He is now in charge of several key research programs with total funds over US$ 4 million, including a National Key R&D Program of China, “Multi-objective Regulation of Water Resources in the Pearl River Basin” with funds of US$2.1 million. He has published 11 books and more than 500 papers in Chinese and English journals. He obtained 11 awards including the first prize of science and technology progress by Ministry of Education of China in 2012 and the first prize of science and technology progress by Guangdong Province in 2017.


Past IC3E Speaker

Gordon Huang
Slav Hermanowicz 
Qingyun Duan
Yongping Li
University of Regina, Canada
University of California, Berkeley, USA
Beijing Normal University, China
Beijing Normal University, China
Shin-Cheng Yeh
Huining Xiao
Jiun-Horng Tsai
Yiyu Cai
National Taiwan Normal University, Taiwan, ROC
University of New Brunswisk, Canada
Chinese Institute of Environmental Engineering, Taiwan, ROC
Nanyang Technology University, Singapore
Ziyang Lou
Binlin Dou
Hossein Ganjidoust
Shuguang Wang  
Shanghai Jiao Tong University, China
University of Shanghai for Science and Technology, China
Tarbiat Modares University, Iran
Shandong University, China
Ming-Chun Lu
Huaiyu Shao
Michael K. H. Leung
Shuo Wang
Chia-Nan University of Pharmacy and Science, Taiwan, ROC
University of Macau, Macau S.A.R., China
City University of Hong Kong, Hong Kong, S.A.R., China
The Hong Kong Polytechnic University, Hong Kong S. A. R., China
Yurui Fan
Brunel University London, UK