P38PREDICTING PESTICIDE MOVEMENT WHEN APPLIED TO TURFGRASS USING NEURAL NETWORK MODELING |
S. Starrett and C. Joudrey, Kansas State University, Department of Civil Engineering, 119 Seaton Hall, Manhattan, KS 66506 |
Currently there are more than 15,000 golf courses around the country with 400 new courses being built each year. Golf courses and turfgrass areas are highly cultivated and managed with the addition of millions of pounds of chemical pesticides and herbicides annually. Little is known about the environmental impact of such chemical applications on nearby surface and ground waters.
At Kansas State University a championship 18-hole golf course will begin construction in summer 1997. One of the main objectives of this course is to serve as a "living laboratory" for faculty and students to assess the environmental impact of golf course construction, operation, and maintenance. Currently, research is underway to determine the existing soil and water quality conditions on the native land prior to any construction disturbance. This project will have the unique distinction of being one of the first full-scale championship golf course on which pre-construction and post-costruction research will be conducted. Through previous turfgrass research, a neural network model (KTURF) has been developed to estimate the percentage of applied pesticide that is leached through 50 cm of turfgrass-covered soil. With data collected from the new K-State golf course, it is intended that KTURF will be further developed and enhanced to assess the risk associated with pesticides. Key words: turfgrass, neural networks, pesticides, leaching
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