UMBC High Performance Computing Facility
Please note that this page is under construction. We are documenting the
240-node cluster maya that will be available after Summer 2014.
Currently, the 84-node cluster tara still operates independently,
until it becomes part of maya at the end of Summer 2014.
Please see the 2013 Resources Pages under the Resources tab for tara information.
Collaborative Research, WSC-Category 2: Regional Climate
Variability and Patterns of Urban Development - Impacts on the Urban Water
Cycle and Nutrient Export
Claire Welty, PI, Professor of Environmental Engineering
and Director of CUERE
Michael Barnes, Research Assistant, CUERE
The goal of the proposed work is to evaluate the interactions between
urban development patterns and the hydrologic cycle and its associated
nutrient cycles, within the context of regional and local climate
variability. The paradigm driving this research is that dynamic
interactions between the natural and human components of the urbanizing
landscape produce striking spatial heterogeneity and temporal
variability in water storage and fluxes that are major determinants of
water quantity and quality. Our specific objective is to create a
modeling system capable of simulating the feedback relationships that
control urban water sustainability.
We propose to address the following research questions: (1) How do human
locational choices, water-based ecosystem services, and regulatory
policies affect the supply of land and pattern of development over time?
(2) How do the changing composition and variability of urbanizing
surfaces affect local and regional climate? (3) How do patterns of
development (including the engineered water system) and climate
variability affect fluxes, flow paths and storage of water and nitrogen
in urban areas?
The proposed work will integrate theories and models across the
disciplines of hydrologic science, environmental engineering,
biogeochemistry, and economics. Core elements include spatial modeling
of urban development patterns and individual land use and location
processes at parcel and neighborhood scales and for different policy
scenarios; three-dimensional modeling of coupled surface
water-groundwater and land surface-atmospheric systems at multiple
scales (including consideration of the engineered water system), where
development patterns are incorporated as input; and field work and
modeling aimed at quantifying flow paths and fluxes of water and
nitrogen in this system.
We will use the Baltimore Ecosystem Study LTER
a platform for place-based research to carry out the proposed work. In
doing so, we will take advantage of a 12-year database of hydrologic and
chemical characterization data; high-resolution land-cover, land use,
and socio-demographic information; and a high-density hydrologic