HR: 0800h
AN: H21A-0192    [Abstracts]
TI: Statistical Analysis of Agricultural BMP Effectiveness using Measured and Simulated Water Quality Data
AU: * Cowan, D M
EM: dmc74@cornell.edu
AF: School of Civil and Environmental Engineering, Cornell University, Ithaca, NY 14853, United States
AU: Stedinger, J R
EM: jrs5@cornell.edu
AF: School of Civil and Environmental Engineering, Cornell University, Ithaca, NY 14853, United States
AU: Shoemaker, C A
EM: cas12@cornell.edu
AF: School of Civil and Environmental Engineering, Cornell University, Ithaca, NY 14853, United States
AB: Detecting changes in surface water quality due to the implementation of best management practices poses an interesting statistical problem. Several techniques are presented that range from simple, one-site, univariate methods, to more sophisticated multivariate techniques that incorporate both measured and simulated water quality. The Cannonsville, NY watershed, a basin that has implemented widespread BMP's over the last decade, is presented as a case study. Results from the statistical analyses demonstrate that BMP implementation has led to significant reductions in dissolved phosphorus loads near the watershed outlet over the course of a decade. The results also demonstrate the necessity of using multiple techniques to assess BMP effectiveness at the watershed level.
DE: 1847 Modeling
DE: 1871 Surface water quality
DE: 1879 Watershed
DE: 1894 Instruments and techniques: modeling
SC: Hydrology [H]
MN: 2007 Fall Meeting