Environmental Fate Model for Ultra-Low-Volume Insecticide Applications Used for Adult Mosquito Management

Abstract

One of the more effective ways of managing high densities of adult mosquitoes that vector human and animal pathogens is ultra-low-volume (ULV) aerosol applications of insecticides. The U.S. Environmental Protection Agency uses models that are not validated for ULV insecticide applications and exposure assumptions to perform their human and ecological risk assessments. Currently, there is no validated model that can accurately predict deposition of insecticides applied using ULV technology for adult mosquito management. In addition little is known about the deposition and drift of small droplets like those used under conditions encountered during ULV applications. The objective of this study was to perform field studies to measure environmental concentrations of insecticides and to develop a validated model to predict the deposition of ULV insecticides. The final regression model was selected by minimizing the Bayesian Information Criterion and its prediction performance was evaluated using k-fold cross validation. Density of the formulation and the density and CMD interaction coefficients were the largest in the model. The results showed that as density of the formulation decreases, deposition increases. The interaction of density and CMD showed that higher density formulations and larger droplets resulted in greater deposition. These results are supported by the aerosol physics literature. A k-fold cross validation demonstrated that the mean square error of the selected regression model is not biased, and the mean square error and mean square prediction error indicated good predictive ability.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2012
Accession Number
ADA569797

Entities

People

  • Collin J. Preftakes
  • David K. Weaver
  • Jerome J. Schleier Iii
  • Kathryn M. Irvine
  • Lucy M. Marshall
  • Robert K. Peterson

Organizations

  • Montana State University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Data Mining
  • Data Science
  • Ecology
  • Environmental Protection
  • Health
  • High Density
  • Information Science
  • Insecticides
  • Liquid Chromatography
  • Measurement
  • Medical Personnel
  • New York
  • Pest Control
  • Pesticides
  • Risk Analysis
  • Surveys
  • Two Dimensional

Readers

  • Agricultural Chemistry/Soil Science
  • Computational Modeling and Simulation
  • Mycotoxin ecology in Amazonian ecosystems.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference