Dr. Weiwei Mo

Dr. Weiwei Mo
Dr. Weiwei Mo
Assistant Professor of Civil and Environmental Engineering
 
Phone: (603) 862-2808 
Fax:  (603) 862-3957
University of New Hampshire
334 Gregg Hall
Durham, NH  03824
 
 
 
 Education
  • Ph.D., Environmental Engineering, University of South Florida, 2012
  • M.S., Environmental Engineering, University of South Florida, 2011
  • B.S., Environmental Engineering, Shanghai Jiao Tong University, 2008
Research Interests

Sustainable and resilient infrastructures, infrastructure-human-resource interdependency, water-energy nexus, complex systems modeling, life cycle assessment, system dynamics modeling

Publications
  • Mo, W., Q. Zhang, “Modeling the Influence of Various Water Stressors on Regional Water Supply Infrastructures and Their Embodied Energy,” Environmental Research Letters, 11, 064018, 2016.
  • Mo, W., H. Wang, J. Jacobs, “Understanding the Influence of Climate Change on the Embodied Energy of Water Supply – A Case Study in Northeast U.S.,” Water Research, 95, 220-229, 2016.
  • Mo, W., L. Soh, J. Webber, M. Elimelech, J. Zimmerman, “Membrane Use for Algae Dewatering,” Algal Research, 11, 1-12, 2015.
  • Mo, W., R. Wang, J. Zimmerman, “An Energy-Water Nexus Analysis of Enhanced Water Supply Scenarios:  A Regional Comparison of Tampa, Florida and San Diego, California,” Environmental Science and Technology, 48:10, 5883-5891, 2014.
  • Mo, W., Q. Zhang, “Energy-Nutrients-Water Nexus: Integrated Resource Recovery in Wastewater Treatment Plants,” Journal of Environmental Management 127, 255-267, 2013.
  • Mo, W., Q. Zhang, “Can Municipal Wastewater Treatment Systems be Carbon Neutral?” Journal of Environmental Management, 112, 360-367, 2012.
  • Zhang, Q., W. Mo., “Embodied Energy and Carbon Footprint Benefits of Water Reclamation,” World Water: Water Reuse & Desalination, 3:1, 29-30, 2012.
  • Mo, W., Q. Zhang, J. R. Mihelcic, D. Hokanson, “Embodied Energy Comparison of Surface Water and Groundwater Supply Options,” Water Research, 45:17, 5577-5586, 2011.
  • Mo, W., F. Nasiri, M. J. Eckelman, Q. Zhang, J. B. Zimmerman, “Measuring the Embodied Energy in Drinking Water Supply Systems: A Case Study in The Great Lakes Region,” Environmental Science and Technology, 44:24, 9516-9521, 2010.
  • Mo, W., Q. Zhang, J.R. Mihelcic, D. Hokanson, “Embodied Energy Model on Water Supply Systems in Great Lakes Region,” Proceedings of WEFTEC 2009, The 82nd Annual Water Environment Federation Technical Exhibition and Conference, October 10-14, Orlando, Florida, 2009.
Classes Taught
  • Systems analysis of the environment
  • Environmental life cycle assessment
  • Environmental Sampling and Analysis

Funded Projects
  • Sustainability of the Great Bay: Enhancing Nutrient Removal and Recovery via Source Separation and Community Engagement, New Hampshire Sea Grant, PI, 2016
  • CRISP Type 1/Collaborative Research: Sustainable and Resilient Design of Interdependent Water and Energy Systems at the Infrastructure-Human-Resource Nexus, National Science Foundation CRISP Program, leading PI, 2016.
  • Regional Water-Energy Nexus: A Dynamic and Prognostic Modeling Framework for Sustainable and Resilient Water and Energy Management, UNH, PI, 2016.
  • RII Track-2 FEC: Strengthening the Scientific Basis for Decision Making About Dams: Multi-Scale, Coupled-Systems Research on Ecological, Social, and Economic Trade-offs, NSF EPSCoR program, Senior Personnel, 2015.
Current Graduate Students
  • Cuihong Song, PhD student
  • Masoumeh Khalkhali, PhD student
  • Mingcheng Ren, PhD student
  • Mina Aghababaei Shahrestani, PhD student
  • Taler Bixler, MS student
Research Assistant Position Available

UNH engineering undergraduates are welcomed to join Dr. Mo’s group as an undergraduate research assistant. To be considered for a position, please send your resume to Dr. Mo (Weiwei.mo@unh.edu).  Applications will be reviewed upon receipt and qualified students will be contacted through email.

Graduate applicants who are interested in joining Dr. Mo’s group are encouraged to send a cover letter describing your research interest and a CV to Dr. Mo. We are particularly interested in students with prior knowledge and experience in computer programming, system dynamics modeling, life cycle assessment, network analysis, and other complex systems modeling skills.