Effectiveness of Wetlands as a Best Management Practice for AgricultureEntry ID: USDA0410
Abstract: "Effectiveness of Wetlands as a Best Management Practice for
Agriculture" is a project that aims to quantitatively assess the
effectiveness of constructed wetlands for providing water
quality improvement under various agricultural scenarios.
Collection Organization: Texas A&M University
Collection Methodology: Six experimental wetlands cells
... constructed to provide shallow flow through aquatic vegetation
to remove pollutants from surface runoff from an
agricultural/industrial watershed. Cells, each 30 ft. by 100 ft.
in surface area, arranged in two rows of 3 to provide
opportunity to study water quality benefits. The cells uniformly
planted with appropriate plants so vegetation not a variable.
Water pumped into the cells at predetermined flow rates.
Hydraulic and pollutant loading studied as experimental
variable. Inflow and effluent water sample analyzed for total
suspended solids, volatile suspended solids, nitrate, ammonia,
total nitrogen, phosphorous and biochemical oxygen demand
removal. Field data used to validate a computer model describing
the transport of contaminants within wetlands.
Collection Frequency: Ongoing
Update Characteristics: N/A
Data available on diskette. Contact the data center for more
information on this project.
Data Set Citation
Dataset Originator/Creator: Ann L. Kenimer and Marshall J. McFarland
Dataset Title: Effectivness of Wetlands as a Best Management Practice for AgricultureOnline Resource: http://stephenville.tamu.edu/~TAEX/index.html
ATMOSPHERE > AIR QUALITY
BIOSPHERE > TERRESTRIAL ECOSYSTEMS > WETLANDS
BIOSPHERE > VEGETATION
HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS > CONTAMINANT LEVELS/SPILLS
TERRESTRIAL HYDROSPHERE > SURFACE WATER > DISCHARGE/FLOW
TERRESTRIAL HYDROSPHERE > SURFACE WATER > RUNOFF
TERRESTRIAL HYDROSPHERE > SURFACE WATER > WETLANDS
TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > CONTAMINANTS
BIOSPHERE > AQUATIC ECOSYSTEMS > WETLANDS
ISO Topic Category
Role: TECHNICAL CONTACT
Email: a-kenimer at tamu.edu
Texas A&M University Department of Biological & Agricultural Engineering MSN 2117
City: College Station
Province or State: TX
Postal Code: 77843-2117
Research currently in progress; no publications to date.
Extended Metadata Properties
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Creation and Review Dates
Last DIF Revision Date: 2016-01-27