A geo-referenced modeling environment for ecosystem risk assessment: organophosphate pesticides in an agriculturally dominated watershed.

A geo-referenced modeling system was developed in this study to investigate the spatiotemporal variability of pesticide distributions and associated ecosystem risks. In the modeling system, pesticide fate and transport processes in soil-canopy system were simulated at field scale by the pesticide root zone model (PRZM). Edge-of-field mass fluxes were up-scaled with a spatially distributed flow-routing model to predict pesticide contaminations in surface water. The developed model was applied to the field conditions of the Orestimba Creek watershed, an agriculturally-dominated area in California's Central Valley during 1990 through 2006, with the organophosphate insecticides diazinon and chlorpyrifos as test agents. High concentrations of dissolved pesticides were predicted at the watershed outlet during the irrigation season of April through November, due to the intensive pesticide use and low stream flow. Concentration violations, according to the California aquatic life criteria, were observed for diazinon before 2001, and for chlorpyrifos during the entire simulation period. Predicted pesticide exposure levels showed potential adverse effects on certain genera of sensitive aquatic invertebrates in the ecosystem of the Orestimba Creek. Modeling assessments were conducted to identify the factors governing spatial patterns and seasonal trends on pesticide distribution and contamination potentials to the studied aquatic ecosystem. Areas with high pesticide yields to surface water were indicated for future research and additional studies focused on monitoring and mitigation efforts within the watershed. Improved irrigation techniques and management practices were also suggested to reduce the violations of pesticide concentrations during irrigation seasons.

[1]  D. Maidment,et al.  UNIT HYDROGRAPH DERIVED FROM A SPATIALLY DISTRIBUTED VELOCITY FIELD , 1996 .

[2]  L. Deanovic,et al.  Joint acute toxicity of diazinon and chlorpyrifos to Ceriodaphnia dubia , 1997 .

[3]  P. L. Havens,et al.  Characterizing agrochemical patterns and effective BMPs for surface waters using mechanistic modeling and GIS , 2001 .

[4]  P. Capel,et al.  The behaviour of 39 pesticides in surface waters as a function of scale , 2001 .

[5]  Minghua Zhang,et al.  Identification of hotspots for potential pyrethroid runoff: a GIS modeling study in San Joaquin River Watershed of California, USA , 2008 .

[6]  Gio Wiederhold,et al.  Knowledge bases , 1985, Future Gener. Comput. Syst..

[7]  Paige L. Tompkins,et al.  Geographic information systems (GIS): implications for promoting social and economic justice , 1999 .

[8]  W. Rawls,et al.  Soil Water Characteristic Estimates by Texture and Organic Matter for Hydrologic Solutions , 2006 .

[9]  U. S. Tim,et al.  Integrated modeling environment for statewide assessment of groundwater vulnerability from pesticide use in agriculture. , 2004, Pest management science.

[10]  Triantafyllos A Albanis,et al.  The status of pesticide pollution in surface waters (rivers and lakes) of Greece. Part I. Review on occurrence and levels. , 2006, Environmental pollution.

[11]  Markus Flury,et al.  Experimental evidence of transport of pesticides through field soils - a review , 1996 .

[12]  Guido Van Huylenbroeck,et al.  Multifunctionality of Agriculture:A Review of Definitions, Evidence and Instruments , 2007 .

[13]  Chin-Hsin Chang,et al.  Incorporating subsurface-flow mechanism into geomorphology-based IUH modeling , 2005 .

[14]  David C. Lampe,et al.  Evaluation of unsaturated-zone solute-transport models for studies of agricultural chemicals , 2005 .

[15]  P. Capel,et al.  Effect of scale on the behavior of atrazine in surface waters. , 2001, Environmental science & technology.

[16]  Jennifer L. Shelton,et al.  Occurrence of nitrate and pesticides in ground water beneath three agricultural land-use settings in the eastern San Joaquin Valley, California, 1993-1995 , 1998 .

[17]  J. G. Lyon,et al.  USING FIELD SCALE MODELS TO PREDICT PEAK FLOWS ON AGRICULTURAL WATERSHEDS 1 , 1999 .

[18]  M. Matthies,et al.  Achievements and Limitations of Modelling Agrochemical Dislocation from Non-Point Sources at Various Landscape Related Scales , 2007 .

[19]  R. Wagenet,et al.  A Pragmatic Field‐Scale Approach for Modeling Pesticides , 1993 .

[20]  T. Green,et al.  Fractal-based scaling and scale-invariant dispersion of peak concentrations of crop protection chemicals in rivers. , 2004, Environmental science & technology.

[21]  Minghua Zhang,et al.  Dynamic modeling of organophosphate pesticide load in surface water in the northern San Joaquin Valley watershed of California. , 2008, Environmental pollution.

[22]  Donna L. Knifong,et al.  Diazinon and chlorpyrifos loads in the San Joaquin River basin, California, January and February 2000 , 2002 .

[23]  Fred Worrall,et al.  The vulnerability of groundwater to pesticide contamination estimated directly from observations of presence or absence in wells , 2005 .

[24]  K. Woodburn,et al.  An Ecological Risk Assessment for Chlorpyrifos in an Agriculturally Dominated Tributary of the San Joaquin River , 2002, Risk analysis : an official publication of the Society for Risk Analysis.

[25]  Miguel A. Mariño,et al.  Semidiscrete pesticide transport modeling and application , 2004 .

[26]  K. Solomon,et al.  Ecological Risks of Diazinon from Agricultural Use in the Sacramento – San Joaquin River Basins, California , 2000, Risk analysis : an official publication of the Society for Risk Analysis.

[27]  J. Domagalski,et al.  Evaluation of Diazinon and Chlorpyrifos Concentrations and Loads, and other Pesticide Concentrations, at Selected Sites in the San Joaquin Valley, California, April to August, 2001 , 2003 .

[28]  L. Boulevard SURFACE WATER AMBIENT MONITORING PROGRAM (SWAMP) , 2007 .

[29]  J. Boesten,et al.  Effects of long-term sorption kinetics on leaching as calculated with the PEARL model for FOCUS scenarios , 2001 .

[30]  Peter A. Vanrolleghem,et al.  Sensitivity analysis for hydrology and pesticide supply towards the river in SWAT , 2005 .

[31]  G. A. Matthews Water quality in the San Joaquin-Tulare Basins, California, 1992–95 , 1998 .

[32]  David R. Maidment,et al.  Geographic Information Systems (GIS)‐based spatially distributed model for runoff routing , 1999 .

[33]  W. G. Knisel,et al.  CREAMS: a field scale model for Chemicals, Runoff, and Erosion from Agricultural Management Systems [USA] , 1980 .

[34]  R. T. Roberts,et al.  Urban Hydrology for Small Watersheds (TR-55 Rev.) , 1985 .