Meeting roles in:
Advancements in Watershed Modeling to Support Water Management I Oral
Advancements in Watershed Modeling to Support Water Management II Oral
Advancements in Watershed Modeling to Support Water Management III Oral
Leveraging Machine Learning to Uncover Nutrient Trends and Drivers across the Contiguous United States
Advancements in Watershed Modeling to Support Water Management IV Oral
Water Quality and Watersheds: From Scientific Innovations to Actions I Oral
Advancements in Watershed Modeling to Support Water Management V Poster
Water Quality and Watersheds: From Scientific Innovations to Actions II Poster
Dr. Qian Zhang is an Associate Research Scientist with UMCES at the USEPA Chesapeake Bay Program. His main responsibility is to collaborate with scientists and managers in the CBP Partnership to analyze monitoring data and explore the temporal and spatial patterns and trends of water quality in Chesapeake Bay and its watershed, which are critical to defining the success of the Bay restoration effort toward meeting the goals of the 2014 Chesapeake Bay Watershed Agreement and to making science-based management decisions in the foreseeable future.

Dr. Zhang is interested in applying scientific principles and statistical approaches to examine nutrient and sediment loads from watersheds and better understand their drivers and impacts along the land-river-estuary continuum. Specific research interests include: (1) quantifying riverine water-quality loads and trends; (2) improving statistical methods for riverine water-quality load and trend estimation; (3) disentangling natural and anthropogenic controls of riverine water-quality loads and trends; and (4) understanding impacts of riverine loads on receiving waters.

Zhang obtained his Ph.D degree from the Department of Geography and Environmental Engineering at Johns Hopkins University. His doctoral dissertation focused on nutrient and sediment export from major tributaries to the Chesapeake Bay. Zhang also holds two Master of Science degrees from Johns Hopkins University, one in environmental engineering and the other in statistics.