Prioritization Workgroup Surface Water Protection Program DPR Environmental Monitoring Branch Presented by Yuzhou Luo 5/18/2015

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  • Prioritization Workgroup Surface Water Protection Program DPR Environmental Monitoring Branch Presented by Yuzhou Luo 5/18/2015
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  • Workgroup: Xin Deng, Robert Budd, Michael Ensminger, April DaSilva, Yuzhou Luo Data analysis: Kimberly Osienski, Emily Lisker, Emerson Kanawi Reviewers: Frank Spurlock, Kean Goh, Nan Singhasemanon, David Duncan, Sheryl Gill, Janet OHara, Rich Breuer, Tessa Fojut, Danny McClure, Terri Reeder
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  • Project overview Phase-1 and phase-2 studies Phase 3, watershed-scale prioritization Discussions
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  • Where, when, and what to sample? Early efforts e.g., Assessment of acute aquatic toxicity of current-use pesticides in California, with monitoring recommendations (Starner, 2007)
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  • Where, when, and what to sample? Early efforts Prioritization workgroup Establish computer programs to integrate and facilitate the automation of updating the agricultural and urban monitoring priority lists (workgroup charter, 2012)
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  • Where, when, and what to sample? Early efforts Prioritization workgroup Evolution Phase 1 (use and toxicity), May 2013 Phase 2 (predicted/observed exposure), July 2014 Phase 3 (watershed), March 2015 Computer program, version 3.0 http://www.cdpr.ca.gov/docs/emon/surfwtr/monitoring_methods.htm
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  • Executable file (
  • Results for statewide agricultural uses 2010-2012 Use (lb) -> use score (1~5) Benchmark (ppb)-> toxicity score (1~8)
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  • [priority score]=[toxicity score]*[use score] Toxicity score =1 (lower toxicity) to 8 (higher toxicity) based on the lowest Benchmark Toxicity scoreThe lowest Benchmark value (ppb) 8 (higher)1000 (Starner, 2007; 2008)
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  • [priority score]=[toxicity score]*[use score] Use score=1 (lower use) to 5 (higher use), dependent on user-defined regions and seasons PercentageUse score 2%5 (higher) 4%4 8%3 16%2 70%1 (lower) default values, can be changed by users
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  • Pesticide use data (PUR) (internal users) download from Oracle database (external users) import from PUR website (http://www.cdpr.ca.gov/docs/pur/purmain.htm)http://www.cdpr.ca.gov/docs/pur/purmain.htm Model [Configuration] Check PUR data
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  • Pesticide use data (PUR) (internal users) download from Oracle database (external users) import from PUR website (http://www.cdpr.ca.gov/docs/pur/purmain.htm)http://www.cdpr.ca.gov/docs/pur/purmain.htm Saved as monthly data in the model database (data.dat), organized by years Model [Advanced Options] Download/import PUR data
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  • Pesticide use data (PUR) (internal users) download from Oracle database (external users) import from PUR website (http://www.cdpr.ca.gov/docs/pur/purmain.htm)http://www.cdpr.ca.gov/docs/pur/purmain.htm Saved as monthly data in the model database (data.dat), organized by years Options: user-specified use patterns, years, months, counties, watersheds, ranking scheme, etc. Model [Advanced Options] Options for PUR data processing
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  • Pesticide use data (PUR) Toxicity data (Acute and chronic) USEPA aquatic life benchmark (Acute) Benchmark equivalent, based on FOOTPRINT PPBD (Acute and chronic) USEPA Human Health Benchmark USEPA Drinking Water Standard, maximum contaminant level goal (MCLG) Model [Configuration] Toxicity data
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  • Pesticide use data (PUR) Toxicity data Chemical properties IUPAC FOOTPRINT Pesticide Property Data Base (PPDB) Invisible to users, no options in the GUI Monitoring data DPRs Surface Water Database (SURF, http://www.cdpr.ca.gov/docs/emon/surfwtr/surfcont.htm). Latest public version April 2014 http://www.cdpr.ca.gov/docs/emon/surfwtr/surfcont.htm Model [Advanced Options] Monitoring
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  • DPR surface water monitoring in Imperial County Imperial County (CA County Code=13), agricultural use, Jan-Mar Data analysis for historical monitoring results: for all sites in this county
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  • Phase 2: Monitoring recommendation
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  • Objective: to classify pesticides with relatively exposure potentials to surface water, and make recommendations for monitoring Approach Observed exposure potentials: based on monitoring data Predicted exposure potentials: based on chemical properties, use patterns, and application methods, similar to SWPP Registration Evaluation (RegEval) Model
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  • Objective Approach Results Monitoring recommendations TRUE: this pesticide potentially causes surface water toxicity, is recommended to be included for monitoring FALSE: excluded for monitoring Phase-2 notes: reasons to exclude
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  • PUR Every year (last updated: May 2015) Also, can be updated by users USEPA Aquatic life benchmark Every year (last updated: Feb. 2015) SURF When a new version is released (last updated: April 2014)
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  • Spatial resolution, from county to watershed
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  • Watershed: area draining to a stream Outlet (pour point): one Inlet: zero (headwater) to multiple Within a watershed: Main stream vs. tributaries Time of travel Between watersheds Flow direction Flow accumulation
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  • Hydrologic Region (by 2-digit Hydrologic Unit Code, or HUC2): HUC2=18: California USGS National Map Viewer
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  • Hydrologic Region (by 2-digit Hydrologic Unit Code, or HUC2) HUC2=18: California Hydrologic Sub-region (HUC4) HUC4=1801: Klamath-Northern California Coast HUC4=1810: Southern Mojave-Salton Sea HUC6, HUC8, HUC10, HUC12
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  • # of HUs 1 10 16 126 1,009 4,415 (USGS, Techniques and Methods 11A3, 2009) HUC2=18
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  • Scale ~1:9M
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  • HUC12: the minimal spatial unit for modeling No sub-HUC12 spatial variability Monitoring sites: mainstream vs. tributary Drainage area, including 1 or more HUC12s Water connectivity (From-to relationship) Scale ~1:0.3M
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  • Aggregation from PUR data at section (1x1mi 2 ) level Applicable for ag. use only
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  • Assumption: urban PUR data can be down-scaled by population density in a county Urban use(HUC12) = f 1 %*PUR(CO1)+f 2 %*PUR(CO2)+ Approach County (58) US Census County Subdivision (397) HUC12 (4,415)
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  • Site Drainage area contributing HUC12s For tributary sites, PUR data for the base HUC12 (where the site is located) For mainstream sites, PUR data for the entire drainage area (the base HUC12 and all upstream ones) User-input data for a monitoring site: the base HUC12, and whether the site is located on a mainstream or not Model [Watershed] HUC12-based prioritization
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  • Simple sum Total USE=USE(0)+USE(1)++USE(n), where 0 is the base HUC12 and 1~n are upstream HUC12s With time of travel (T), from treated HUC12 to the site Total USE=d 0 USE(0)+d 1 USE(1)++d n USE(n) d i =exp(-kT i ) NHDPlus2NHDPlus2 for T
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  • Settings (DPR study #297) Example: Salinas River @ Del Monte, DPR site code #27_14, [36.7319 -121.7824] Ag. uses; April to September Input data Base HUC12=180600051509 ArcGIS USGS National Map Viewer Mainstream site? Yes
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  • DPR Study #279 Protocol, Table 4 (Deng, 2015) http://www.cdpr.ca.gov/docs/emon/pubs/protocol/study297_surface_water.pdf
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  • Settings MCC040 (South San Ramon Creek), urban receiving water, DPR site_code #01_15, [37.70641 -121.92669] Base HUC12= 180500040502 Mainstream site? No Results top-10 model-suggested: bifenthrin, fipronil, diuron, bromacil, permethrin, cyfluthrin, pendimethalin, cypermethrin, -cyhalothrin, deltamethrin ALL of the top-10 have been included in the previous DPR monitoring (DPR Study #249, #264)
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  • Standard watershed delineation (HUC12) Customized watershed (by sections, ag. only) Drainage area of a site is significantly smaller than the base HUC12 (e.g., sites for small creeks, see the next Demo) Improved watershed delineation with local survey data (e.g., sites in valley floors) Sites in the State of California, but out of HUC2=18 (e.g.,DPR sites in Palo Verde Outfall Drain in Imperial and Riverside) Model [Watershed] Customized watershed
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  • Alisal Slough @ Hartnell Rd. (DPR site code 27_70) Prepare a text file by listing all sections in the customized watershed
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  • Factors: site location, water body type, drainage area description, sampling schedule, budget Model settings Years: recent 3 years with PUR data Months: by sampling schedules Water body type of the monitoring siteOptions for watershed prioritization Drainage ditch (agriculture)Preferred: customized drainage area Alternative: prioritization for tributary site Storm drain outfall (urban)Preferred: none Alternative: prioritization for tributary site Receiving water, tributary in watershed (agriculture or urban) Prioritization for tributary site Receiving water, mainstream (agriculture, urban, or mixed landuse) Prioritization for mainstream site
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  • Objective: to compare statewide spatial distribution of one chemical (or one chemical group) Priority mapping index = [USE, lb] / [TOX, ppb] / [FLOW, cfs], OR [USE, lb] / [TOX, ppb] / [AREA, mi 2 ] ChemicalLocation Spatially continuous mappingOneMultiple Regular prioritizationMultipleOne
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  • Mapping for chlorpyrifos (DPR Chem_code=253) Results: priority mapping index in each HUC12 Excel format JSON (JavaScript Object Notation) format
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  • (a) Tributaries(b) Main streams
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  • PURwebGISPURwebGIS as an example
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  • To compare relative importance of pesticides for surface water monitoring, NOT predict concentrations Chemical parameters are considered, but fate/transport processes are not explicitly simulated Spatially distributed modeling framework first Field-specific modeling (future development) Limitations of input data PUR for pesticide use data FOOTPRINT for pesticide property data USGS watershed delineation and HUC12 characterizations
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  • A tool for PUR query and mapping e.g., urban fipronil use in LA County, May to August of 2010 Top-10 ag. pesticides in Salinas River watershed in each year Compiled, up-to-date toxicity database (aquatic toxicity, drinking water, human health) Monitoring data analysis (detection frequency and benchmark exceedance, in the user-defined domain)
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  • SWPP modeling approach Registration evaluation Phase 1 initial screening Phase 2 refined modeling Post-use evaluation Monitoring prioritization (phases 1,2,3) Probabilistic risk assessment Label rate based, Scenario based PUR based, Spatially distributed USEPA Spatial Aquatic Model (SAM) USGS Monitoring Prioritization Rough estimation of risk quotient (RQ) or exposure potential Detailed modeling of RQ
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  • Yuzhou Luo, Ph.D. Research Scientist III CDPR/EM/SWPP [email protected] (916) 445-2090