Modeling Daily Pesticide Stream Concentrations in Agricultural Watersheds Using a Sinusoidal Wave Function
Water quality monitoring studies of several agricultural drainage basins in the United States have accumulated a valuable amount of concentration data for pesticides and other agricultural chemicals over the last few decades. Using these data to develop predictive models is a desirable objective and will help to increase the understanding of factors controlling the environmental fate and transport of agricultural chemicals on watershed scales. However, most of these monitoring data sets are retrospective and many ancillary parameters such as specific product use, prevailing hydrological conditions, and agricultural practices in the watershed are not systematically recorded during the time of monitoring. Since these parameters are known to influence the frequency and magnitude of residue levels in surface water, mechanistic model development based on these data is difficult.
pesticide surface water mobility index exposure modeling environmental fate agricultural watershed water quality monitoring
Wenlin Chen
Environmental Safety/Product Safety R&-D, Syngenta, Greensboro, USA
国际会议
北京
英文
142-143
2012-09-15（万方平台首次上网日期，不代表论文的发表时间）