DONATE

IAHR Document Library


« Back to Library Homepage « Proceedings of the 29th IAHR World Congress (Beijing, 2001)

An Integrated Modeling System for Simulating Pesticide Runoff Losses from Agricultural Lands

Author(s): Y. R. Li; G. H. Huang; Y. F. Li; J. Struger; J. D. Fischer

Linked Author(s):

Keywords: Griculture; Environment; Modeling; Monitoring; Nonpoint source; Pesticide; Runoff; Watershed

Abstract: An integrated modeling system was developed to predict runoff losses of pesticides from agricultural lands. The system is an integration of a mathematical model, a database system, and a geographic information system. Information of soil type, land use, land slope, watershed boundaries, precipitation, pesticide usage, as well as physical and chemical properties of pesticides have been input to a GIS, managed through a database, and used for further modeling studies. The developed modeling system can simulate pesticide losses due to runoff based on the consideration of emission, degradation, adsorption and desorption of pesticides, as well as their movement in dissolved and adsorbed phases. The modeling outputs were in turn put into the database, such that runoff patterns along with pesticides losses could be further simulated by using a database management system. The final results could then be visualized through GIS. The developed modeling system was applied to the Kintore Creek Watershed, Ontario, Canada, for simulating losses of atrazine from agricultural lands. A water quality monitoring project was carried out from 1988 to1992 in the watershed to detect conditions of surface water pollution due to the use of pesticides. The modeling outputs were verified through the monitoring data, demonstrating reasonable prediction accuracy. The result indicated that the model provides an effective means for forecasting pesticide runoff from agriculture lands.

DOI:

Year: 2001

Copyright © 2024 International Association for Hydro-Environment Engineering and Research. All rights reserved. | Terms and Conditions