B.S., M.S. (China Agricultural University)
Ph.D. (Iowa St.)
Short Bio
Dr. Zhiming Qi received his BS in Irrigation and Drainage Engineering and MS in Soil and Water Engineering from China Agricultural University in Beijing, China. After graduation, he was hired as an irrigation engineer in Beijing Hydraulic Research Institute. Later, Dr. Qi earned his Ph.D. degree in Agricultural Engineering and Environmental Science from Iowa State University. Before joining McGill, he worked as Postdoctoral Fellows at Iowa State University, USDA-ARS Agricultural Systems Research Unit, and International Food Policy Research Institute in the United States.
Research Interests
Dr. Zhiming Qi’s research interest is to understand the response of hydrology, environment, and crop growth to engineering measures, management practices, and climate change. His research spans from field experimentation to computer modeling. Dr. Qi is interested in monitoring hydrology, soil and water quality, and crop growth in irrigated and artificially drained watershed. He utilizes Root Zone Water Quality Model (RZWQM2 coupled with DSSAT crop models) and Great Plains Framework for Agricultural Resource Management model (GPFARM-Range) to investigate the hydrological process and environmental quality, as well as crop and forage yield, under various management practices and climate scenarios in croplands and grazed rangelands. In addition, Dr. Qi develops and modifies computer models or modules to address emerging concerns such as carbon sequestration and climate change impacts on environment and water resources.
His specific research interests are:
Water quality
Hydrological and environmental modeling
Climate change impacts on bioresources
Irrigation and drainage engineering
Current Research
Development of a model-based phosphorus management tool for manure applications in subsurface drained field
Bioresource Engineering: The engineer's level and the theodolite are used to perform benchmark circuits, profile levelling, topographic maps and straight line extensions. A total station, computer programs and use of GPS are introduced.
Offered by: Bioresource Engineering
2 lectures and one 3-hour lab
Restriction: Not open to students who have taken ABEN 214.
Terms
This course is not scheduled for the 2020 academic year
Instructors
There are no professors associated with this course for the 2020 academic year
Bioresource Engineering: The engineering aspects of soil and water conservation, irrigation, water conveyance structures and canals, use of geosynthetics for soil protection, seepage and uplift. Students will produce an integrated development project.
Bioresource Engineering: Use of deterministic and stochastic models to analyze components of the hydrologic cycle on agricultural and forested watersheds, floods frequency analysis, hydrograph analysis, infiltration, runoff, overland flow, flood routing, erosion and sediment transport. Effects of land-use changes and farm and recreational water management systems on the hydrologic regime.
Offered by: Bioresource Engineering
3 hour lectures
Restriction: Not open to students who have taken ABEN 509.
Terms
This course is not scheduled for the 2020 academic year
Instructors
There are no professors associated with this course for the 2020 academic year
Bioresource Engineering: Management of water quality for sustainability. Cause of soil degradation, surface and groundwater contamination by agricultural chemicals and toxic pollutants. Screening and mechanistic models. Human health and safety concerns. Water table management. Soil and water conservation techniques will be examined with an emphasis on methods of prediction and best management practices.
Offered by: Bioresource Engineering
Restriction: Not open to students who have taken BREE 625 (formerly ABEN 625).
Management of water quality for sustainability. Cause of soil degradation, surface and groundwater contamination by agricultural chemicals and toxic pollutants. Screening and mechanistic models. Human health and safety concerns. Water table management. Soil and water conservation techniques will be examined with an emphasis on methods of prediction and best management practices.
