# DOCUMENTATION TEMPLATE - doc_temp_long.doc # # Dataset_Name: GLAC_pest2001_03_LCAA.xls # Dataset_Description: # This dataset is a product of the U.S. Geological Survey's # National Water-Quality Assessment (NAWQA) program. # # Identification_Information: # # Point_of_Contact: # Name: Terri Arnold # NAWQA_Study: Regional Ground-Water Trends: Glacial Aquifer # Office_Name: USGS-WRD, Illinois District # IL_Office Address: 221 North Broadway Avenue, Urbana, IL 61801 # IL_Telephone_Number:(217) 344-0037 # IL_FAX_Number: (217) 344-0082 # Email_Address: tlarnold@usgs.gov # World_Wide_Web_URL: http://il.water.usgs.gov/nawqa/uirb/gapt/index.html # # Citation: # Originator: Terri Arnold # Title: Glacial Aquifer pesticide data # (PCODES from schedules 2001, 2002, 2003, and # LCAA that are not included in # GLAC_pest2010_50_60.xls) # Edition: 1 # Publication_Information: # Publication_Date: 06/03/2004 # Other_Citation_Details: Data retrieved from NAWQA Internal Data # Warehouse 05/20/2004 # # Data_Format: (give references for all that apply) # World_Wide_Web_URL: http://il.water.usgs.gov/nawqa/uirb/gapt/index.html # Online_Linkage: ftp://ftpdilurb.er.usgs.gov/pub/arnold/pesticides.zip # # # Native_Data_Set_Environment: # Operating_System: Windows 2000 # Source_Software: ASCII text and Microsoft Excel 2000 # # Description_of_dataset: # # Abstract: This data set contains ground-water pesticide data # (PCODES from shedules 2001, 2002, 2003, and LCAA) retrieved # from the NAWQA Internal Data Warehouse on May 20, 2004. # There is a related data file titled GLAC_2010_50_60.xls that # has PCODEs from schedules 2010, 2060, and 2050 that are # not already included in the data file described by this document. # The data will be used in a series of reports to characterize # the Glacial Principal Aquifer as part of the # U.S. Geological Survey, National Water-Quality Assessment # Program. # # # Spatial_Domain_Descriptor: # Bounding_Coordinates: # West_Bounding_Coordinate: -166.27384949 # East_Bounding_Coordinate: -51.99280167 # North_Bounding_Coordinate: 83.55232239 # South_Bounding_Coordinate: 37.61368942 # # Time_Period_of_content: # Currentness_Reference: May 20, 2004 # # Keywords: # NAWQA_Program_Component: Glacial Regional Princial Aquifer # Ground-Water Trends # Theme_Keywords: Ground water # Theme_Keywords: Glacial Aquifer # Theme_Keywords: Pesticides # Place_Keywords: Northern United States # # Supplemental_Information: # # Procedures_Used: # Process_Step: # # For all the data sets (Excel format), the remark columns have a '<' for censored # data, an 'E' for estimated data, and a '-' for all the other sites--this means # there is a "-" for all missing data as well as for data with a measured value. # If you count the "<'s" and/or the "E's", that will give the correct answer for number of # censored or estimated; however, simply counting all the "-'s" is NOT the number of detects. # # Process_Step: # The data was retrieved from the NAWQA Internal Data Warehouse # May 20, 2004. The Conditions used to retrieve the data are as follows: # # Pre-set Data Warehouse conditions used for retrieving data: # 1) Eliminate 'V' Coded data # 2) Groundwater Chemical Environmental Data # 3) Groundwater Sites Only # 4) GW POSV Patch Last Value of Day # 5) Remove 'Set Number' and 'Surrogate' from the search # # Additional Conditions for glacial aquifer wells: # Select SUCODES and create DECODE calculation to only select # wells that were determined by the Glacial Aquifer Planning Team to # be sampling from the Glacial Aquifer (based on lithology and # knowledge of NAWQA study unit teams) # # Su Code IN 'almnsus2', 'ccptlusag2a', 'ccptlusag2b', 'ccptlusor1a', # 'ccptlusor1b', 'cnbrluscr1', 'cnbrrefcr1','cnbrrefpa1', 'conndwgs1', # 'connfpsur1', 'connlusag1', 'connlusfo1', 'connlusrc1', 'connlusur1', # 'connreffo1','connsus2', 'cooksus1a', 'cooksus1b', 'delrsus3', # 'eiwaluscr1', 'eiwalusrc1', 'eiwaspcg1', 'eiwasus2', 'hdsnfpsag1', # 'hdsnlusag1', 'hdsnlusag2', 'hdsnlusur1', 'hdsnsus1', 'hdsnsus2', # 'hpgwdwgs1','hpgwlusag3','hpgwsus4', 'leriluscr1', 'lerilusrc1', # 'lerispcg1', 'lerisus1', 'linjsus1','lirbluscr1', 'lirbluscr2', # 'lirbsus1', 'lirbsus2', 'miamluscr1', 'miamluscr1a', 'miamlusrc1', # 'miamrefot1', 'miamspcb1', 'miamsus1', 'necblusrc1', 'necbsus3', # 'pugtfpscr1', 'pugtluscr1', 'pugtlusrs1', 'pugtsus1', 'rednfpsag1', # 'rednfpsag2', 'rednlusag1', 'rednlusag2', 'rednsus1', 'rednsus2', # 'rednsus3', 'rednsus4', 'rednsus5', 'uirbluscr1', 'uirblusrc1', # 'uirbsus1', 'uirbsus2', 'umisfpsur1', 'umisluscr1', 'umislusfo1', # 'umislusrc1', 'whitfpsag1', 'whitfpsag2', 'whitluscr1', 'whitluscr2', # 'whitluscr3a', 'whitluscr3b', 'whitlusur1a', 'whitlusur1b', # 'whitrefcr1','whmidwgs1', 'whmilusrc1','wmicfpsag1a', 'wmicfpsag1b', # 'wmicfpsag1c', 'wmicfpsag1d', 'wmicfss', 'wmiclusag1a', 'wmiclusag1b', # 'wmiclusag2', 'wmicrefcr1','wmicreffo1','wmicsus2' # # DECODE(Geographic Places.Staid,'462038118595001','NOT GLACIAL', # '462643119044001','NOT GLACIAL','462734119020801','NOT GLACIAL', # '463258119133801','NOT GLACIAL','463627119031801','NOT GLACIAL', # '464108119103801','NOT GLACIAL','464857119040701','NOT GLACIAL', # '465648119353901','NOT GLACIAL','465736119262701','NOT GLACIAL', # '470233119490501','NOT GLACIAL','470515119025801','NOT GLACIAL', # '470803119362401','NOT GLACIAL','470820119480201','NOT GLACIAL', # '470848119125501','NOT GLACIAL','470940119443901','NOT GLACIAL', # '470947119392901','NOT GLACIAL','471225119362501','NOT GLACIAL', # '462943119152201','NOT GLACIAL','463321119121501','NOT GLACIAL', # '463342119101501','NOT GLACIAL','465305119333701','NOT GLACIAL', # '465349119200401','NOT GLACIAL','465441119331701','NOT GLACIAL', # '465448119322601','NOT GLACIAL','465527119184601','NOT GLACIAL', # '465649119513901','NOT GLACIAL','425027074393701','NOT GLACIAL', # '425056074381501','NOT GLACIAL','425428073542501','NOT GLACIAL', # '411631074284201','NOT GLACIAL','411728074100001','NOT GLACIAL', # '411748074195601','NOT GLACIAL','411938073595201','NOT GLACIAL', # '411939073595301','NOT GLACIAL','412536074324301','NOT GLACIAL', # '413016074282101','NOT GLACIAL','413050074084101','NOT GLACIAL', # '413205074145101','NOT GLACIAL','413400074212701','NOT GLACIAL', # '421130073412001','NOT GLACIAL','421150073353001','NOT GLACIAL', # '421909073382001','NOT GLACIAL','422415073251001','NOT GLACIAL', # '422554073415601','NOT GLACIAL','422753073240501','NOT GLACIAL', # '422846073593501','NOT GLACIAL','422950073591201','NOT GLACIAL', # '423241074064901','NOT GLACIAL','423416073553201','NOT GLACIAL', # '423847074043701','NOT GLACIAL','423851073545201','NOT GLACIAL', # '424051073414501','NOT GLACIAL','424354073532101','NOT GLACIAL', # '424429073585801','NOT GLACIAL','425129074303501','NOT GLACIAL', # '425217074061401','NOT GLACIAL','425235074204401','NOT GLACIAL', # '425454074322101','NOT GLACIAL','425502074260601','NOT GLACIAL', # '425515074254201','NOT GLACIAL','425535074341501','NOT GLACIAL', # '425545074185601','NOT GLACIAL','425545074185602','NOT GLACIAL', # '425657074174101','NOT GLACIAL','425716074294901','NOT GLACIAL', # '425731074172901','NOT GLACIAL','425813074304201','NOT GLACIAL', # '425837074475101','NOT GLACIAL','425851074085801','NOT GLACIAL', # '430302074462601','NOT GLACIAL','430532075281101','NOT GLACIAL', # '430536075034501','NOT GLACIAL','430549075031701','NOT GLACIAL', # '431157075015601','NOT GLACIAL','431212075191501','NOT GLACIAL', # '425659075013001','NOT GLACIAL','430328074461501','NOT GLACIAL', # '421222083450501','NOT GLACIAL','423209083431301','NOT GLACIAL', # '420049084235000','NOT GLACIAL','474247097401301','NOT GLACIAL', # '474859097572201','NOT GLACIAL','474926098141901','NOT GLACIAL', # '475846097141501','NOT GLACIAL','480606097101901','NOT GLACIAL', # '480816097592701','NOT GLACIAL','481001098584701','NOT GLACIAL', # '482033099594901','NOT GLACIAL','394523085523302','NOT GLACIAL', # '385533086582801','NOT GLACIAL','390722087054501','NOT GLACIAL', # '425033074403401','NOT GLACIAL','403902074595601','NOT GLACIAL', # '404126074482501','NOT GLACIAL','404251074354101','NOT GLACIAL', # '404347074473901','NOT GLACIAL','404453074473501','NOT GLACIAL', # '404543074401101','NOT GLACIAL','404625074334401','NOT GLACIAL', # '404700074411201','NOT GLACIAL','404717074340201','NOT GLACIAL', # '404944074443101','NOT GLACIAL','405003074480101','NOT GLACIAL', # '405555074352001','NOT GLACIAL','405557074280701','NOT GLACIAL', # '405605074241101','NOT GLACIAL','405650074243601','NOT GLACIAL', # '405725074292801','NOT GLACIAL','405833074205801','NOT GLACIAL', # '410115074313101','NOT GLACIAL','410208074233501','NOT GLACIAL', # '410320074273801','NOT GLACIAL','410404074192801','NOT GLACIAL', # '410507074222901','NOT GLACIAL','410546074153001','NOT GLACIAL', # '410744074213101','NOT GLACIAL','410930074235901','NOT GLACIAL', # '411022074103201','NOT GLACIAL','411432074094101','NOT GLACIAL', # '411631074064301','NOT GLACIAL','405103074344701','NOT GLACIAL', # 'GLACIAL') # # Select PCODES to retrieve pesticide data (These are PCODES from # schedules 2001, 2002, 2003, and LCAA). There is another data file # (GLAC_pest1010_50_60.xls) with PCODES from schedules 2010, 2050, # and 2060 that are not already included here. # # pest sch 2001, 2002, 2003, and LCAA # PCODE IN ('99856','99818','91065','62170','62169','62168','62167', # '62166','46342','99839','99838','99224','99223','82346','79847', # '79846','79845','79844','79843','79842','61674','61669','61668', # '61666','61665','61663','61660','61652','61649','61647','61646', # '61645','61644','61642','61641','61640','61637','61636','61635', # '61634','61633','61631','61630','61629','61627','61625','61620', # '61618','61617','61615','61614','61611','61610','61607','61606', # '61605','61604','61603','61602','61601','61600','61599','61598', # '61596','61595','61594','61593','61592','61590','61586','61580', # '38801','38775','38716','38454','34362','34357','4036','4025', # 'L4509','99995','99994','99972','82662','61664','61638','61591', # '61585','4022','50009','61029','61030','61031','61043','61044', # '61951','61952','62482','62483','62766','62767','62847','62848', # '62849','62850') # # Create DECODE calculation to assign REGIONs according to the Glacial # Aquifer stratification: # DECODE(SUID,'LERI','CENTRAL','LIRB','CENTRAL','MIAM','CENTRAL', # 'UIRB','CENTRAL','WHIT','CENTRAL','WHMI','CENTRAL','WMIC','CENTRAL', # 'ALMN','EAST','CONN','EAST','DELR','EAST','HDSN','EAST','NECB','EAST', # 'LINJ','EAST','EIWA','WEST','HPGW','WEST','REDN','WEST','UMIS','WEST', # 'PUGT','FAR WEST','COOK','FAR WEST','CCYK','FAR WEST','CNBR','WEST') # # Selected items for display: # Net Sites # Su Code # Geographic Places # Suid # Staid # Samples # Sample Id # Results # Result Datetime # Remrk (Detail) # Value (Detail) # Parameters # Parameter Code # Parameter Code Nmae # Report Units # # Process_Step: # Some wells had more than one line of data - some on the same date. # The 'GW POSV Patch Last Value of Day' condition took care of most of # these situations; however, some still remained. For statistical # analysis, only one line of data per well was desired. To get one line # of data per well, multiple lines of data for the same well were # combined into one line as follows: # 1) Select most recent sample or sample with most data on one line to # keep # 2) If data is missing in the sample you chose to keep but is available # from another sample for the same well, copy it from the other # sample and paste it in the sample you chose to keep. # # After the lines were combined, then the un-needed line was deleted. # After all wells only had one line of data then the sample data and # sample number columns were deleted. These lines were no longer # accurate since the samples were combined into one line. # # Process_Step: # Some wells still had multiple entries because they occured as samples # in different ground-water networks (SUCODES). Duplicate lines were # deleted and the SUCODE information was retained in two additonal # columns ('Su Code Alt 1' and 'Su Code Alt 2'). The most networks # any well was included in was 3 networks. # # The wells that occured in more than one network are as follows (the # first number is the number of networks and the second number is # the STAID) # 2 383525087175001 # 2 413427072355501 # 2 415545073000601 # 2 415856072263101 # 2 433720088014901 # 2 452726088434401 # 2 454350088560301 # 2 460122096535203 # 2 460727096561702 # 2 461620097081101 # 2 462157097245801 # 2 462448097184101 # 2 462724097204601 # 2 462748097053301 # 2 463029097283401 # 2 463053097081201 # 2 463140095344601 # 2 463221097140101 # 2 463355097030701 # 2 463415097215502 # 2 463618095353301 # 2 463859095371201 # 2 463928095362501 # 2 463956095352601 # 2 464113095341901 # 2 471240095390101 # 2 471415096260701 # 2 471421097304601 # 2 471809097534401 # 2 472958097392101 # 2 473247097092401 # 2 473422095241901 # 2 473512095163201 # 2 473931097272101 # 2 474116098071701 # 2 474443098585701 # 2 474532097344901 # 2 475234097333601 # 2 475308098424801 # 2 475658098571901 # 2 480357099481901 # 2 484502097462301 # 2 485444097533601 # 3 462907097214201 # 3 475043097344401 # 3 475928097395701 # 3 480625097450801 # 3 481749097481501 # # Process_Step: # The data retrieved had muliple censoring levels for most constituents. # Censored data is indicated by a '<' or '>' in the remark column # (remark columns begin with a 'R_' in the final data set.) Due to # the large number of censored values, it was determined by those # team members that would use the Pesticide data that the censored # values would not be treated in this data set. # Individual studies will be responsible for treating the censored # values or for using them to indicate percent detection. # # Process_Step: # The retrieved Station IDs (STAID) were compared to a complete list of # STAIDs to determine if any wells were missing fromt he data retrieval # (due to no data for the requested PCODEs). The following STAIDs were # missing: # # 411806073163201 # 412314073241101 # 412422072460401 # 412730072551401 # 413507097153801 # 413652072483601 # 413919096531401 # 414200073295301 # 414405070485201 # 414448096412701 # 415249073215901 # 415504073213601 # 415847072301201 # 420351073034201 # 420555073023001 # 420718073222401 # 421210083474501 # 421240083472201 # 421309088132101 # 421527088193401 # 422221097162101 # 422308083542801 # 422404072402701 # 422756083405001 # 422806083493701 # 423004083463001 # 423020083390101 # 423133083421201 # 423137083434501 # 423244083434401 # 423402083272701 # 423422083305601 # 423427083274701 # 423429083453001 # 423958083331001 # 424014083361601 # 424026083084601 # 424143073495901 # 424228071290201 # 424242083041801 # 424258083223301 # 424418073485601 # 424536083282301 # 424610083223201 # 424614083175301 # 424729083161601 # 424738072395301 # 424747083202901 # 424819083222501 # 424905083212701 # 425042074402401 # 432325072242101 # 433707088021201 # 433707088021202 # 433707088021203 # 433707088021204 # 433707088021205 # 433708088020801 # 433708088020803 # 433708088020804 # 433715088015804 # 433715088015805 # 433715088015806 # 433715088020801 # 433718088015801 # 433720088014904 # 433720088014905 # 433720088014906 # 440011072164201 # 443855071532301 # 450406093170201 # 450406093170202 # 450414093184301 # 450414093184303 # 450415093184800 # 450424093210501 # 450425093195301 # 450425093195302 # 463305095382701 # 463956095355602 # 463956095355603 # 470906096160101 # 471515097320501 # 471649096211501 # 471914095283101 # 472116098114502 # 472202096553601 # 472246119225901 # 472353098335301 # 472634098311601 # 473042096151800 # 473059098113701 # 473119095500500 # 473238096165300 # 474107098405601 # 474224095451400 # 474238097425601 # 474258096222000 # 474356095525100 # 474450096532300 # 475030094431801 # 475356096532200 # 475702095592300 # 475823095462401 # 480440096034100 # 480537096263000 # 480540096263000 # 481332096342900 # 481437096232700 # 481452095512700 # 482300096503801 # 483218097375801 # 483330097545001 # 490030122225301 # 490040122240401 # 490040122240501 # 611438149432301 # # Lines were added to the data file for these missing wells with a # '-' for all columns of data. # # Revisions: # Reviews_Applied_to_Data: This data has not been reviewed # Related_Spatial_and_Tabular_Data_Sets: # GLAC_pest2001_03_LCAA_raw.txt (the raw data as retrieved from # NAWQA data warehouse bfore editing) # GLAC_staids.txt (list of staids in the Glacial Aquifer # including information about well depth, primary water use, # lithology, and region) # There are no equivalent datasets for the CO or NYNE aquifers. # Other_References_Cited: # Notes: # # Status: # Progress: Complete # Maintenance_and_Update_Frequency: none planned # # Cross_Reference: None # # Data_Quality_Information: # Completeness_Report: Complete as of date when data was pulled # from NAWQA data warehouse # # Basic documentation of dataset elements and history # # Entity_and_Attribute_Overview: # # Attributes: # Column head, description # principal_aq, Principal Aquifer abbreviation. GLAC=glacial aquifer # Regions, region designation from Glacial aquifer stratification # Suid, NAWQA study unit ID # Su Code, NAWQA study unit code indicating with ground-water network # the well is part of. # Su Code Alt 1, NAWQA study unit code indicating with ground-water network # the well is part of. Will only be filled in if well is in more than one # network. # Su Code Alt 2, NAWQA study unit code indicating with ground-water network # the well is part of. Will only be filled in if well is in more than two # networks. # Staid, USGS well identification number (station ID) # R_PCODE, Columns whose title begins with an 'R_' prefixed to the PCODE # contain the remarks about the sample value (example column # title R_01106). # '<' indicates 'less than' the detextion limit (a censored value) # '>' indicates 'greater than', # 'E' indicates an estimated value # '-' indicates no remark # PPCODE, Columns whose title begins with a 'P' prefixed to the PCODE # (example column title P90410) contain the original sample value # before censored values were treated. # # List of parameter codes and their descriptions: # Parameter Code Parameter Name # 34357 beta-Endosulfan_ water_ filtered_ recoverable_ micrograms per liter # 34362 alpha-Endosulfan_ water_ filtered_ recoverable_ micrograms per # liter # 38454 Dicrotophos_ water_ filtered_ recoverable_ micrograms per liter # 38716 Sulprofos_ water_ filtered_ recoverable_ micrograms per liter # 38775 Dichlorvos_ water_ filtered_ recoverable_ micrograms per liter # 38801 Fenthion_ water_ filtered_ recoverable_ micrograms per liter # 46342 Alachlor_ water_ filtered_ recoverable_ micrograms per liter # 50009 Alachlor ethanesulfonic acid_ water_ filtered (0.7 micron glass # fiber filter)_ recoverable_ micrograms per liter # 61029 Acetochlor ethanesulfonic acid_ water_ filtered (0.7 micron # glass fiber filter)_ recoverable_ micrograms per liter # 61030 Acetochlor oxanilic acid_ water_ filtered (0.7 micron glass # fiber filter)_ recoverable_ micrograms per liter # 61031 Alachlor oxanilic acid_ water_ filtered (0.7 micron glass # fiber filter)_ recoverable_ micrograms per liter # 61043 Metolachlor ethanesulfonic acid_ water_ filtered (0.7 micron # glass fiber filter)_ micrograms per liter # 61044 Metolachlor oxanilic acid_ water_ filtered (0.7 micron glass # fiber filter)_ recoverable_ micrograms per liter # 61580 Bifenthrin_ water_ filtered_ recoverable_ micrograms per liter # 61585 Cyfluthrin_ water_ filtered_ recoverable_ micrograms per liter # 61586 Cypermethrin_ water_ filtered_ recoverable_ micrograms per liter # 61590 Endosulfan sulfate_ water_ filtered_ recoverable_ micrograms # per liter # 61591 Fenamiphos_ water_ filtered_ recoverable_ micrograms per liter # 61592 Flumetralin_ water_ filtered_ recoverable_ micrograms per liter # 61593 Iprodione_ water_ filtered_ recoverable_ micrograms per liter # 61594 Isofenphos_ water_ filtered_ recoverable_ micrograms per liter # 61595 Cyhalothrin_ water_ filtered_ recoverable_ micrograms per liter # 61596 Metalaxyl_ water_ filtered_ recoverable_ micrograms per liter # 61598 Methidathion_ water_ filtered_ recoverable_ micrograms per liter # 61599 Myclobutanil_ water_ filtered_ recoverable_ micrograms per liter # 61600 Oxyfluorfen_ water_ filtered_ recoverable_ micrograms per liter # 61601 Phosmet_ water_ filtered_ recoverable_ micrograms per liter # 61602 Phostebupirim_ water_ filtered_ recoverable_ micrograms per liter # 61603 Profenofos_ water_ filtered_ recoverable_ micrograms per liter # 61604 Propetamphos_ water_ filtered_ recoverable_ micrograms per liter # 61605 Sulfotepp_ water_ filtered_ recoverable_ micrograms per liter # 61606 Tefluthrin_ water_ filtered_ recoverable_ micrograms per liter # 61607 Temephos_ water_ filtered_ recoverable_ micrograms per liter # 61610 Tribuphos_ water_ filtered_ recoverable_ micrograms per liter # 61611 1_4-Naphthoquinone_ water_ filtered_ recoverable_ micrograms # per liter # 61614 2_5-Dichloroaniline_ water_ filtered_ recoverable_ micrograms # per liter # 61615 2-[(2-Ethyl-6-methylphenyl)-amino]-1-propanol_ water_ filtered_ # recoverable_ micrograms per liter # 61617 2-Amino-N-isopropylbenzamide_ water_ filtered_ recoverable_ # micrograms per liter # 61618 2-Chloro-2'_6'-diethylacetanilide_ water_ filtered_ recoverable_ # micrograms per liter # 61620 2-Ethyl-6-methylaniline_ water_ filtered_ recoverable_ micrograms # per liter # 61625 3_4-Dichloroaniline_ water_ filtered_ recoverable_ micrograms # per liter # 61627 3_5-Dichloroaniline_ water_ filtered_ recoverable_ micrograms # per liter # 61629 3-Phenoxybenzyl alcohol_ water_ filtered_ recoverable_ micrograms # per liter # 61630 3-(Trifluoromethyl)aniline_ water_ filtered_ recoverable_ # micrograms per liter # 61631 4_4'-Dichlorobenzophenone_ water_ filtered_ recoverable_ # micrograms per liter # 61633 4-Chloro-2-methylphenol_ water_ filtered_ recoverable_ # micrograms per liter # 61634 4-Chlorophenyl methyl sulfone_ water_ filtered_ recoverable_ # micrograms per liter # 61635 Azinphos-methyl oxygen analog_ water_ filtered_ recoverable_ # micrograms per liter # 61636 Chlorpyrifos oxygen analog_ water_ filtered_ recoverable_ # micrograms per liter # 61637 2-(4-tert-Butylphenoxy)-cyclohexanol_ water_ filtered_ # recoverable_ micrograms per liter # 61638 Diazinon oxygen analog_ water_ filtered_ recoverable_ # micrograms per liter # 61640 Disulfoton sulfone_ water_ filtered_ recoverable_ micrograms # per liter # 61641 Disulfoton sulfoxide_ water_ filtered_ recoverable_ micrograms # per liter # 61642 Endosulfan ether_ water_ filtered_ recoverable_ micrograms # per liter # 61644 Ethion monoxon_ water_ filtered_ recoverable_ micrograms per liter # 61645 Fenamiphos sulfone_ water_ filtered_ recoverable_ micrograms # per liter # 61646 Fenamiphos sulfoxide_ water_ filtered_ recoverable_ micrograms # per liter # 61647 Fenthion sulfoxide_ water_ filtered_ recoverable_ micrograms # per liter # 61649 Fonofos oxygen analog_ water_ filtered_ recoverable_ micrograms # per liter # 61652 Malaoxon_ water_ filtered_ recoverable_ micrograms per liter # 61660 O-Ethyl-O-methyl-S-propylphosphorothioate_ water_ filtered_ # recoverable_ micrograms per liter # 61663 Paraoxon_ water_ filtered_ recoverable_ micrograms per liter # 61664 Methyl paraoxon_ water_ filtered_ recoverable_ micrograms per liter # 61665 4-(Hydroxymethyl) pendimethalin_ water_ filtered_ recoverable_ # micrograms per liter # 61666 Phorate oxygen analog_ water_ filtered_ recoverable_ micrograms # per liter # 61668 Phosmet oxygen analog_ water_ filtered_ recoverable_ micrograms # per liter # 61669 Tebupirimphos oxygen analog_ water_ filtered_ recoverable_ # micrograms per liter # 61674 Terbufos oxygen analog sulfone_ water_ filtered_ recoverable_ # micrograms per liter # 61951 Dimethenamid ethanesulfonic acid_ water_ filtered_ recoverable_ # micrograms per liter # 61952 Flufenacet ethanesulfonic acid_ water_ filtered_ recoverable_ # micrograms per liter # 62166 Fipronil_ water_ filtered_ recoverable_ micrograms per liter # 62167 Fipronil sulfide_ water_ filtered_ recoverable_ micrograms per # liter # 62168 Fipronil sulfone_ water_ filtered_ recoverable_ micrograms # per liter # 62169 Desulfinylfipronil amide_ water_ filtered_ recoverable_ # micrograms per liter # 62170 Desulfinyl fipronil_ water_ filtered_ recoverable_ micrograms # per liter # 62482 Dimethenamid oxanilic acid_ water_ filtered_ recoverable_ # micrograms per liter # 62483 Flufenacet oxanilic acid_ water_ filtered_ recoverable_ # micrograms per liter # 62766 Propachlor ethanesulfonic acid_ water_ filtered (0.7 micron # glass fiber filter)_ recoverable_ micrograms per liter # 62767 Propachlor oxanilic acid_ water_ filtered (0.7 micron glass # fiber filter)_ recoverable_ micrograms per liter # 62847 Acetochlor sulfynilacetic acid_ water_ filtered_ micrograms # per liter # 62848 Alachlor sulfynilacetic acid_ water_ filtered_ micrograms per liter # 79842 Methyl cis-3-(2_2-dichlorovinyl)-2_2-dimethylcyclopropane-1- # carboxylate_ water_ filtered_ recoverable_ micrograms per liter # 79843 Methyl trans-3-(2_2-dichlorovinyl)-2_2-dimethylcyclopropane-1- # carboxylate_ water_ filtered_ recoverable_ micrograms per liter # 79844 e-Dimethomorph_ water_ filtered_ recoverable_ micrograms per liter # 79845 z-Dimethomorph_ water_ filtered_ recoverable_ micrograms per liter # 79846 cis-Propiconazole_ water_ filtered_ recoverable_ micrograms per # liter # 79847 trans-Propiconazole_ water_ filtered_ recoverable_ micrograms # per liter # 82346 Ethion_ water_ filtered_ recoverable_ micrograms per liter # 82662 Dimethoate_ water_ filtered (0.7 micron glass fiber filter)_ # recoverable_ micrograms per liter # 99223 Diazinon-d10_ surrogate_ Schedule 2002/9002_ water_ unfiltered_ # percent recovery # 99224 alpha-HCH-d6_ surrogate_ Schedule 2002/9002_ water_ unfiltered_ # percent recovery # 99839 Sample volume_ Schedules 2002 and 9002_ milliliters # 99972 Sample volume_ Schedule 2003_ milliliters # 99994 Diazinon-d10_ surrogate_ Schedule 2003_ water_ filtered_ # percent recovery # 99995 alpha-HCH-d6_ surrogate_ Schedule 2003_ water_ filtered_ # percent recovery # # Metadata_Reference_Information: # Metadata_Date: 06/02/2004 # Metadata_Contact: Terri Arnold, tlarnold@usgs.gov # # END_OF_METADATA