User:QIANZHANG: Difference between revisions

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{{Signup information member
{{Signup information member
|First name member=QIAN
|First name member=Qian
|Last name member=ZHANG
|Last name member=Zhang
|Institute member=JOHNS HOPKINS UNIVERSITY
|Institute member=Johns Hopkins University
|Postal address 1 member=3400 North Charles Street
|Postal address 1 member=3400 North Charles Street
|City member=BALTIMORE
|City member=Baltimore
|Postal code member=21218
|Postal code member=21218
|Country member=United States
|Country member=United States

Revision as of 05:22, 6 November 2012




Qian Zhang, website username login: QIANZHANG

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Johns Hopkins University
USEPA Chesapeake Bay Program
410 Severn Ave., Suite 112
Baltimore, Maryland
21403
United States
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qzhang19@jhu.edu
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https://sites.google.com/site/qianzhangatjhu/home

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Member of the following CSDMS groups

  • Terrestrial Working Group
  • Coastal Working Group
  • Hydrology Focus Research Group
  • Chesapeake Focus Research Group

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CSDMS-related interest

I am particularly interested in computationally-intensive modeling and synthesis of large-scale data sets for watersheds and other ecosystems. My PhD research focuses on long-term export of nutrients and sediment from the Chesapeake Bay watershed. Specific areas include (1) evaluation of long-term water-quality trends and uncertainties; (2) improvement of statistical methods for riverine flux estimation and trend analysis; (3) analysis of patterns of watershed constituent export and controlling factors.

As a watershed data analyst (assistant research scientist) at the USEPA Chesapeake Bay Program (CBP), my main role is to work with professionals, managers, and scientists in the Chesapeake Bay partnership to explore natural and anthropogenic-based causes behind the observed current status and long-term trends in the water quality of the streams and rivers to the Chesapeake Bay, which is critical to defining the success of Chesapeake Bay and watershed restoration efforts to date and to making science-based management decisions in the foreseeable future.