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Water
Resource Engineering and Management
Population growth and economic development
continue to place increasing stress on global water resources, stresses
that stem primarily from rising consumptive demands for limited
supplies and increasing contaminant loads to natural waters.
Students doing research in the area of water resources engineering and
management
seek sustainable solutions to these challenges using a variety of
computational and
experimental approaches designed to produce results that can provide
substantive guidance to policymakers.
Students in our group work on projects that
are largely motivated by concerns over increasing water scarcity and/or
declining water quality. The rising cost of developing new water
supplies and society’s growing intolerance of the environmental impacts
of large-scale water supply projects (e.g., reservoirs) are making it
more difficult for
communities to meet growing water demand. Strategies that integrate
consideration of both technical and economic principles are required if
society is to manage its increasingly scarce water resources in a
manner that is economically efficient and
environmentally sustainable. Population growth also leads to
declining water quality as greater contaminant loads are imposed on
surface and groundwaters. These loads can come in the form of
biological, organic or inorganic contaminants, and can originate from
either point (e.g.,wastewater treatment plant) or nonpoint (e.g.,
stormwater runoff) sources. In many cases, a better understanding of
the nature and origins of these contaminants is required before
improved methods for managing water quality can be developed.
Addressing these issues generally involves
two components, (1) understanding and characterizing the
natural processes that govern the affected systems, and (2) developing
solutions that incorporate consideration of both the technical and
economic challenges posed by a particular problem. These objectives are
accomplished through a combination of experimental studies
and/or mathematical modeling, with research into one (or both) of these
areas forming the basis for graduate study in water resource
engineering and management.
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