Yuzhou Luo

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This report describes the methodology and computer implementation to prioritize pesticides for surface water monitoring in agricultural and urban areas of California. The prioritization scheme is based on pesticide use and aquatic toxicity. Use data is retrieved from the Pesticide Use Report (PUR) database for the year, months, and counties of interests.(More)
Pesticide runoff from impervious surfaces is a significant cause of aquatic contamination and ecologic toxicity in urban waterways. Effective mitigation requires better understanding and prediction of off-site transport processes. Presented here is a comprehensive study on pesticide washoff from concrete surfaces, including washoff tests, experimental data(More)
1 Disclaimers  The model evaluation is based on the latest version of the models at the time of this study (RICEWQ v1.73, PCPF v3.01, and PFAM v0.5) available at the time of study. All models, including executable files and/or source codes, were obtained from the model developers. The results of model evaluation in this study may not be appropriate for the(More)
Synthetic pyrethroid insecticides have generated public concerns due to their increasing use and potential effects on aquatic ecosystems. A modeling system was developed in this study for simulating the transport processes and associated sediment toxicity of pyrethroids at coupled field/watershed scales. The model was tested in the Orestimba Creek(More)
Agricultural pollutant runoff is a major source of water contamination in California's Sacramento River watershed where 8500 km 2 of agricultural land influences water quality. The Soil and Water Assessment Tool (SWAT) hydrology, sediment, nitrate and pesticide transport components were assessed for the Sacramento River watershed. To represent flood(More)
Field-scale environmental models have been widely used in aquatic exposure assessments of pesticides. Those models usually require a large set of input parameters and separate simulations for each pesticide in evaluation. In this study, a simple use-exposure relationship is developed based on regression analysis of stochastic simulation results generated(More)