Qian Zhang

Qian Zhang

Watershed Effectiveness Data Analyst

1750 Forest Drive Suite 130
Annapolis, Maryland 21401

Phone: 410-267-5794

Research Interests

Water Quality; Watershed; Nutrients; Statistics; Machine Learning; Trend Analysis; Chesapeake Bay

Educational Background

  • Johns Hopkins University, 2016, Ph.D., Environmental Engineering
  • Johns Hopkins University, 2014, M.S.E., Statistics
  • Johns Hopkins University, 2011, M.S.E., Environmental Engineering
  • Nanyang Technological University, 2009, B.E., Environmental Engineering

Biographical Sketch

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.

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