Statistical meta-analysis of agricultural BMPs and BMP group performance.
Conference Year
January 2022
Abstract
A database, consisting of eight BMPs (agricultural best management practices), their observed nuisance constituent reduction efficacies, and 20 variables, was constructed; the random-effects statistical meta-analysis of which provided weighted average reductions in total phosphorus (TP) and total nitrogen (TN) for each BMP. This study obtains informed, weighted estimates of TP and TN reduction efficacies for BMPs and BMP groups thus providing a better understanding of the future state of the lake and the role BMP’s play in the lake system’s resilience.
Primary Faculty Mentor Name
Dr. Elizabeth Doran
Status
Undergraduate
Student College
College of Engineering and Mathematical Sciences
Program/Major
Environmental Engineering
Primary Research Category
Engineering & Physical Sciences
Statistical meta-analysis of agricultural BMPs and BMP group performance.
A database, consisting of eight BMPs (agricultural best management practices), their observed nuisance constituent reduction efficacies, and 20 variables, was constructed; the random-effects statistical meta-analysis of which provided weighted average reductions in total phosphorus (TP) and total nitrogen (TN) for each BMP. This study obtains informed, weighted estimates of TP and TN reduction efficacies for BMPs and BMP groups thus providing a better understanding of the future state of the lake and the role BMP’s play in the lake system’s resilience.