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Grapevine Creek-SY100301Technical Support Document for Bacteria TMDLs Segment 0822A— Cottonwood Branch Segment 0822B— Grapevine Creek Cottonwood Br. at Story Road Grapevine Crk. at Freeport Parkway Prepared by: Jimmy Millican David Pendergrass Larry Hauck Texas Institute for Applied Environmental Research Tarleton State University Stephenville, Texas TR0904 March 2010 Technical Support Document for Bacteria TMDLs Segment 0822A— Cottonwood Branch Segment 0822B— Grapevine Creek Prepared for: TMDL Program Texas Commission on Environmental Quality Austin, Texas Prepared by: Jimmy Millican David Pendergrass Larry Hauck Texas Institute for Applied Environmental Research Tarleton State University Stephenville, Texas TR0904 March 2010 Technical Support Document for Bacteria TMDLs Table of Contents TABLE OF CONTENTS SECTION 1 INTRODUCTION .......................................................... -1 ............................1 1.1 Background and Water Quality Standards ............................................. ............................1 -1 1.2 Report Purpose and Organization ........................................................ 1-2 ............................... SECTION 2 HISTORICAL DATA REVIEW AND WATERSHED PROPERTIES ......... 2-1 2.1 Definition of Study Area ..................................................................... ............................... 2 -1 2.2 Monitoring Station Descriptions ......................................................... ............................... 2 -3 2.2.1 Monitoring Stations on Segment 0822A — Cottonwood Branch ... ............................... 2 -3 2.2.2 Monitoring Stations on Segment 0822B — Grapevine Creek ........ ............................... 2 -5 2.3 Cottonwood Branch and Grapevine Creek Historical Bacterial Data . ............................... 2 -6 2.3.1 Data Acquisition ............................................................................ ............................... 2 -6 2.3.2 Analysis of Bacteria Data .............................................................. ............................... 2 -6 2.4 Watershed Hydrology and Climate ..................................................... ............................... 2 -7 2.5 Land Use / Land Cover ........................................................................ ............................... 2 -8 2.6 Source Analysis ................................................................................... ............................... 2 -9 2.6.1 Permitted Sources ............................................................................ ...........................2 -12 2.6.1.1 Wastewater Treatment Facility Discharges .......................... ............................... 2 -12 2.6.1.2 Sanitary Sewer Overflows ........................................................ ...........................2 -12 2.6.1.3 Regulated Storm Water ............................................................. ...........................2 -13 2.6.1.4 Dry Weather Discharges/Illicit Discharges .......................... ............................... 2 -13 2.6.2 Non - permitted Sources .................................................................... ...........................2 -14 2.6.2.1 Domestic Pets ............................................................................ ...........................2 -16 2.6.2.2 Wildlife and Unmanaged Animal Contributions .................. ............................... 2 -16 SECTION 3 BACTERIA TOOL DEVELOPMENT ............................ ............................3 -1 3.1 Tool Selection ......................................................................................... ............................3 -1 H m ................................................ ............................... suo4ninNED ' XIM JO )a"Lu=S v6t, Z i -tl ................................... ............................... uouulnduxoD nl% uuOTS panl9Pl20ZI -uOm £'6'b i T -t, .......................................... ............................... uoArindwoD JOWAk uuo1S paInPlfa2i Z'6't, .................................................... ................... ..............suouvinduzOD'PmOJD aimn3 1'6't, ............................................... ............................... suoilninoluD 'ICIW L Iluli luatussossV 6't' 01-t,-*****-----, ... a nin3 £'1'8'fi 6-t,****"* ...... ............... uOiIn:)011y Puo'I Z. 1.8-t 6-t****""*********'*'******"*"****"", ******** ... uoiiuooiiv puo-I alsul,& I- 1-8-t .......................................................................... ............................... uoiliuigoa 'Iaw i, i -8't .................................................................. ............................... suoinootV po niiod 8'� I t, .............sisxluuV uoilonp -d pnO'I L't t,-t •••• . pro-I luulnllod pun sanmD uopeinCl puo-I joj sauzii3a -I moi3 9'i, .................................................................................. ............................... /,IDJLs Jo uii?zn YET S'ti Z_ .......................................................................:....:.... ............................... sisXinUV afn}lurl t't Z_tl ...................................................................... ..................................................... il 'euosn s £'t i_ ................. ...........................n�nQ r1o� •9 OulJOITOW inoiJoIsTH moj slinsD -d lu3Tuss3ssV Z't, T_t ........................................................................ ............................... uoiWoigijuapl luiodpug T't VV .............. ....................... ........... . ........... 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APPENDIX B EQUATIONS FOR CALCULATING TMDL ALLOCATIONS FOR CHANGED CONTACT RECREATION STANDARD .............. ............................... B -1 SECTION 1 INTRODUCTION ........................................................... ..............................1 1.1 Background and Water Quality Standards ............................................. ............................... 1 1.2 Report Purpose and Organization ........................................................... ............................... 2 SECTION 2 HISTORICAL DATA REVIEW AND WATERSHED PROPERTIES ............ 1 2.1 Definition of Study Area ............................... ............................... 2.2 Monitoring Station Descriptions ......................................................... ............................... 1 2.2.1 Monitoring Stations on Segment 0822A — Cottonwood Branch ............................. 3 2.2.2. Monitoring Stations on Segment 0822B — Grapevine Creek ..... ............... .. .. .............. 5 2.3 Cottonwood Branch and Grapevine Creek Historical Bacterial Data .... ............................... 6 2.3.1 Data Acquisition ............................................................................... ............................... 6 2.3.2 Analysis of Bacteria Data ................................................................. ............................... 6 2.4 Watershed Hydrology and Climate ........................................................ ............................... 7 2.5 Land Use / Land Cover ........................................................................... ............................... 8 2.6 Source Analysis ..................................................................................... ............................... 9 2.6.1 Permitted Sources ........................................................................... ............................... 12 2.6.1.1 Wastewater Treatment Facility Discharges ........................ ............................... 12 2.6.1.2 Sanitary Sewer Overflows ..................................................... ............................... 12 2.6.1.3 Regulated Storm Water ......................................................... ............................... 13 2.6.1.4 Dry Weather Discharges /Illicit Discharges ............................. ............................... 13 2.6.2 Non - permitted Sources ................................................................... ............................... 14 2.6.2.1 Domestic Pets ........................................................................... ............................... 16 2.6.2.2 Wildlife and Unmanaged Animal Contributions ..................... ............................... 16 SECTION 3 BACTERIA TOOL DEVELOPMENT ............................. ..............................1 3.1 Tool Selection ......................................................................................... ............................... 1 3. 1.1 Bacteria Tool Selection .................................................................... ............................... 2 3.2 Methodology for Flow Duration & Load Duration Curve Development .............................. 3 3.3 Development of Load Duration Curves .................................................. ............................... 3 3.3.1 Step 1: Determine Hydrologic Period .............................................. ............................... 3 3.3.2 Step 2: Determine Desired Stream Locations .................................. ............................... 4 3.3.3 Step 3: Develop Daily Streamflow Records .................................... ............................... 4 3.3.4 Step 4: Development of Flow Duration Curves ( FDC) .................... ............................... 5 3.3.5 Steps 5 and 6: Load Duration Curves and Bacteria Data ................. ............................... 7 SECTION 4 TMDL ALLOCATION ANALYSIS ................................. ..............................1 4.1 Endpoint Identification .............. 4.2 Assessment Results from Historical Monitoring E. coli Data .......... ............................... 1 4.3 Seasonality ............................................................................................. ............................... 2 4.4 Linkage Analysis .................................................. ............................... .. ............. 2 .................. 4.5 Margin of Safety ................................................................................... ............................... 3 iii Al 6-£" ZO VZZ80 fiV `gouulg p00nmuoU00 4991LI uoijuls aoj aAjno uoiiuinp puoll 9 -£ amOi3 6-£ " "' I Cl—VZZ80 fiV `uouuzg poonmuOPOD `L91 L i uoiluis aoI aAmo uoiWinp puo-I S-£ ain2i3 8-£ " IC VZZ80 fiV `gouuzg poonmuOUOD `OZ£OZ uoiiuls ioI aAjno uoiltunp puo-j t,-£ amBt3 L-£ * ** "' IO UZZ80 fiV `)iaa.zD auinaduiD uiuiim suoijuis ioj aA.zno uoiiuinp emolA £-£ 3mBi3 9-£ " "" ZO VZZ80 fiV `gouag poonmuo:RoD ulgllm suoiTuis aoI aAmo uoiiemp MOIJ Z-£ aanOTA 9-£ " "" i0 VZZ8 fiV `uouuzg poonmuo:aoo uITIM suoijuls aoI aAino uoiiemp nmol j I-£ am!�i3 S i -Z.................................................................................... ............................... 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However, TCEQ recognizes that the chance of falsely classifying a station or assessment unit as impaired (Type I Error) under the single sample criterion is relatively high for the historically utilized method. TCEQ for the last several years has applied the binomial method in their water quality assessments in order to maintain a Type I error probability below 20% (TCEQ, 2008a). New criteria have been proposed that divide contact recreation standards into primary contact recreation use, secondary contact recreation I, and secondary contact recreation II. The proposed criteria are as follows: Primary Contact: geometric mean criterion of 206 MPN /100 mL Secondary Contact I: geometric mean criterion of 630 MPN /100 mL Secondary Contact Il: geometric mean criterion of 1030 MPN /100 mL This report will address these criteria along with the existing contact recreation use criteria of 126 MPN /100 mL. The single sample criterion will not be addressed for purposes of pollutant load allocation in this report. 1.2 Report Purpose and Organization TCEQ's most recent assessment of ambient bacteria data led to the conclusion that all or portions of Cottonwood Branch (Segment 0822A) and Grapevine Creek (Segment 0822B) do not support their contact recreation uses (TCEQ, 2008b). Subsequently, TCEQ contracted with the Texas Institute for Applied Environmental Research (TIAER) at Tarleton State University as the lead performing entity to: (1) acquire data and information necessary to support modeling and assessment activities, and (2) assist the TCEQ in preparing the information to develop TMDLs for the two creeks. The purpose of this report is to provide technical documentation and supporting information for developing the bacteria TMDLs for Segments 0822A and 0822B. This report contains: information on historical data, watershed properties and characteristics, summary of historical bacteria data that confirm the State of Texas Section 303(d) listings of impairment due to presence of indicator bacteria (E. coli), development of load duration curves, and 3, application of the load duration curve approach for the pollutant load allocation process. 1 -2 I-Z 'pno21 WIS 11lioN jo turwisumop saliuz s•0 of ureaalsdn aouanlluoo XI!UliL Nao j wIF1 3111 uzoij `laaao 3111 jo uoupod uznaaisumop aqI sr 10 VZZ80 fIV • :srlV OMI Olut papinip si VZZ80 IUOW!33S •(srlV JOJ I -Z aani?i j aas) liodaa sigl ui pasn aau suoiliuigap fIV luaoaa Isow a11Z •sasodind luowssassn joj ()gDs Xq pasn uaau 3lgduj2o32 Isajjuws 3111 si gotgnn `(flV) Iiun Iu3wssassu Xq palzodaa si IuouxumIlu `Iuaauai? ui `lu3wi ?3s Xuu pun `aulnollzud ui `gZZ80 puu VZZ80 siu3w2z)S joj slsil (p)£0£ 3111 ulgl!A1 •(saaou tb69`L) n11 £LO`£ Jo naan pa11sz31nm Ouluinuzai u ui Ouillnsw 3jurl 11PoN3o nazu oftminrp 3111 apnloxa oI paugap ag ITinn pa11sralnnn 3TaazD auinadutrJ a11i Ijodaz s1111jo iapureuzaz a11l aoj `,(liniluanbasuoD '(600Z `I ngTua)aQ `OgD L `lj;DtuuxnW uqo f `uotluoiunuauzoo Inuosj;Dd) pudu siu3X moj L, 2ui.un33o XIluaid,(l sasualaa 111?A `3130JD aurnaduTg olur sllids io sasualai Xlaiva 33lurl 11poN Iu11l Vodw33uls Xuudwoo j3mod `oslV •sasu3j3j fuu ui puu jioniasaa oqj jo Xpoq uiuuz 3111111oq ui Wool Xlquirenui MI S13Aa1 tpoo .j `saulil U01JU313p asuazout X11P O puu MOOT. anaals Wools X13niI03jJ3 ,an `julnoilzud ui `331n -I TJON puu `Iu.zau32 UT `saionz3S3J Ilu asnuoag •MoUtmails puu Buipuol mJ313nq glop jo aniloadsaad 3111 worj p3gsj3lLm 3133aD auinadvjj) 311l jo uolpod iiutingijluoo X11mmiva ao 2uiingijluo3-uou n su paaapisuoo 3JU uaan 35MILzp sli puu aionaaS3J 33F"I 14VOM 311.E '(i -Z amid) 'p^ig jn11jjVovW Iu II£OZ uoiluls 6FIDL jo Lutz)jlsdn uz -00£ XTaluumoiddu 3133JD autnadujD olut f ujngial pauiuuun UV Uin sutuJp puu saalauz aauloa11 001'Z XTaluuzixoaddu jo fliondvo Auzols n su11 `lunld i3mod u aoj jioniasaa 2uil000 u `qurl gpoN •IaodatV Iuuolluunlul AkACI puu 113ddoD jo �J!D `Buinzl JO XI!D `aUtnaduaD JO )�4iD a11l jo suaau luuoiloipsianf 3111 ui11llm sail uazu Anuivap 31awD auinaduiD 311 L '(OIOZ `ogDl `• I91XI) 31idulnl 11sng 32ioaD luapisaad Jo Isann (ZZ80 IUMIODS) JDAI XI!Uljl 3Ia0,4 uilg a11l ql!m aouanlluoo sil of uzuajisumop `XlunoD IuuuuZ ui IaodjiV M3Q Jo apis gVOU 3111 uO Xum3llud TuuoiluUJ31ul Jo Is3m saalumpu3q sIi woaj S311LU 01 (laluuzixojddu SMOU (gZZ80 JUMU23S) 133JD auinadujD -(I -Z amBi3) laoiD faaagN3VH 1111m oouonUuoo all of pirmisna soptu 9 XTaluuiixojddu spualxa pun VOCIJIV luuoiluujoluI (M3Q) glaom pod- sLIlua jo puo glnos Dql Iv `(191 X.L) 31!duin L gsng 32JOOD luapisaad JOJ puOZ ai?uluOZJ 3111 sl g3lgm `auurl mOTA X311-BA In BuIvuls su (g800Z OgDl) IuauzssassV Xlilnna aaium agD L 8002 3111 ut paugap si 31owo oq L -XlunoD srura `OUinzl jo 44!D a11l jo uazu 1nuOtiotpsirnf 3111 ulgl!m st (VZZ80 Iuaux23s) gouuag pooMuOIIOD • I -Z wniii j uo u3ju p3goln11 ssoao 3111 Xq paluoipui su (AIAmAO f4iT OM IuauxluazZ aalnnnaisnm IBUOT23 -d IuJIU30 (V dj) 4!JO111nV aanig XI!Uljl 3111 Jo uWu uzals,is U01133i103 paJannas puu njum3jsum 3111 UITIM XIZ)JIIUa ail sp3gsa3lum 111Og •(sWou t,96`Z) u11 00Z` 13o um, 32uutuap u suq Llouuzg poonnuOIIOD 31!gm `sazou 96Z`6 JO (u11) 3auloa11 Z9L`£ JO RM' 32uuinap u ql!m sJaaco Oml 3111 Jo a3SJn1 3111 si 316WD 3Uin3dlojD -(I -Z wn2i3) x3ldoil3w glzom 1jo3- sullu(I 311l jo uoiliod Iuzlu33 111zou 3111 Ul paluool s3133zo uugan MI 133JD 3Uin3dLjD pun ilouvig poonnuolloD eaaV xpnls Jo uoljlugaQ I -Z S311b3dONd 03HSM31VM CINV M3VA3N VIVCI IVOINOISIH Z N 01133 S sap.iado rd pays raivM pun aaazaag vpva jvouolslH s7QNL vt ialovg iof luaurnooa l.roddns Ivotuyoal 5 N i N O .i 0 a L w �0 y U 0 ti U .S U 1 �14t %► �s-'" 1 0 -00 l N r la 94 ID M i i r1 t m 4p ¢ ro Q� ` CO N w o m O Y c O `o O � � M R M O � Lo N CV C v w `^ « ?m tLL U O bA .rr W 4, 4. o � v � v � � rtn" � � O 3 � � o Q U "W% �o r-, N N N £-Z •ssnfi? 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IuoiaoIsiu atlj ju p31031103 ujup goo 'Y Oq L -(I I £OZ) XiJuaoaa aaout pappu uotTnJs paitll n gllm `(6£6L I Put I £SL 0 N33JD auinadujq uo paaoliuow Xlluotzolsitl uaaq anuq suoiluls om L -3I3aiD fatagNouH uo wup Iluws n utoa3 aajunnNouq Xq paouanUui autnoaq 891 L I uoiInls u3gm (OZ£OZ) pappu uoiIuIs qU!J u ql!m (6 S £8 i puu 891 L I `L91 L I `99ILI `991 L i ) gouuag poonnuolloD ui paldums uaaq XIlnoiaolsiq anuq suotluTs BuiaoItuouz agD L aniJ suoi;dtaasa(l not ;u ;S Nutao;iuoW Z -Z •3133.13 auinadnaf) ao IO gZZ80 sn aaljnaaatl of pauajaa aq Ipm pun IZV auo Xluo jo sisisuoo UZZ80 juawBos •3uu7 nnatA XallnA TB pua utnaalsdn atlj of pro-I /aojS uljoNjo utnaaisunnop s3puz S-0 utoaj 63133ao atll jo uoiltod utuaalsdn atlj si ZO VZZ80 f1V • soy.iado rd pays ra)vAl puv Mazaag V)va Ivotdo;stH s7QWL vz.ra;ang dof luatunooQ l ioddng Ivoruyodl Technical Support Document for Bacteria TMDLs Historical Data Review and Watershed Properties Four stations are located in AU 0822A_01 (Figure 2 -3): Station 18359 P, u,..,. , w . „ »t „.„"° Figure 2 -3 Water quality monitoring stations located within AU 0822A_01 • Station 18359 is located 433 m upstream of North MacArthur Boulevard in Irving at a concrete culvert. Cottonwood Branch at this location is pooled due to a small dam and is within the North Lake College campus. • Station 17167 is located at North MacArthur Boulevard in Irving. This station is located on the golf course of the Cottonwood Valley Country Club. The previously described historical TCEQ station 18359 is located approximately 400 meters upstream of this station. The close proximity of these stations allowed for the data collected from both to be combined for this study and will hereafter be referred to as data from station 17167. • Station 20320 is located at State Highway 114 in Irving and represents the most downstream station on AU 0822A 01 that can be sampled without experiencing backwater effects originating in Hackberry Creek. The creek at this location is essentially a narrow concrete lined channel. • Station 17168 is located at State Highway Spur 348 (Northwest Highway) in Irving. Upstream of Spur 348 the channel is concrete line whereas downstream it more natural. Backwater effects are often experienced at this station location as a result of a dam constructed on Hackberry Creek. These backwater effects necessitated that sampling occur at the more 2 -4 s -Z •gscuq pun saaal Xq paaapaoq Xjajuipowwi sAuuq ulim molloq IannA u Ouinnu sn p3zta3j3uaug3 si u01Inool SIT Jn JOWD auinaduil) '10 gZZ80 fIV uo uoijuls ureaalsumop isoui au} si pun XjunoD snlluQ ui IladdoD pun iiuinal uaanxlaq pannalnog angljVorW uljoN ju paluool si I I £OZ uoiWIS . •s3ssua2 pauinjuinuz Xq painuivaop s3lunq igllm uoiIu1323n Juai?aauia jo slunom, aluaapow Ouinntl sn paztaajouauLIo si UOTIVIs sill] In 3I33aD autnadvjD -XlunoD suilucl ut S£9-HI JO uivaalsdn w S£S `$uinal ut •pnlg Juaii321 Iu �IaaaD autnadvjD uo pajuooi st 6£6LI uOITUTS • •sossmi? 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The data represented the routine ambient E. coli and other water quality data collected in the project area under the TCEQ Surface Water Quality Monitoring Program by the TCEQ Field Operations Division and City of Irving as a Texas Clean Rivers Program partner. The water quality data included in SWQMIS are typically compared to water quality criteria to assess use attainment and were provided to TIAER for the specific purposes of this project. Routine ambient data from December 2001 through July 2004 were available for Segment 0822A and data from November 2001 through October 2004 were available for Segment 0822B at the time the data analysis in this report was performed. The other major source of ambient E. coli data was collected by TIAER at selected stream stations within Cottonwood Branch and Grapevine Creek to provide information to assist in TMDL development. TIAER's bacteria monitoring consisted of base -flow and wet - weather sampling for 12 events during the period January - August 2008. The timing of the TIAER data collection events were defined by objectives of capturing certain streamflow regimes (e.g., high and low flows) and therefore represent biased data collection not used for assessment purposes. Collectively the data obtained from both routine ambient and TMDL development bacteria monitoring provide a data set containing a substantial amount of E. coli data at several locations along Cottonwood Branch and Grapevine Creek and will be referred to herein as the "historical data set." The data set containing only routine ambient E. coli concentrations, with E. coli data collected under biased conditions removed, will be referred to as the "assessment data set." 2.3.2 Analysis of Bacteria Data The assessment bacteria data set as obtained from the TCEQ SWQMIS spans a date range of November 2001 through October 2004. These routine monitoring data were used to assess the water quality according to TCEQ procedures (TCEQ 2008a). For Cottonwood Branch the assessment data set contained data for stations 17167, 17168, and 18359 in AU 0822A_01 and data for stations 17165 and 17166 in AU 0822A02. Stations 17531 and 17939 within AU 082213_01 had routine monitoring E. coli data for Grapevine Creek (Table 2 -1). Data obtained from stations 18359 and 17168 within AU 0822A 01 indicated that E. coli concentrations were below the geometric mean and single sample criteria while data from station 17167 exceeded both criteria. However, the combined dataset from the three stations within AU 0822A_01 indicated support of the contact recreation use for both criteria. Data obtained from stations 17165 and 17166 in AU 0822A_02 indicated that both stations failed to support the contact recreation use based on both the geometric mean and single sample criteria. Assessment of the data obtained from station 17531 within AU 0822B 01 indicated that E. coli concentrations were in support of the contact recreation use, while data from downstream station 17939 indicated non - support of the contact recreation use. Assessment of the combined dataset from these two stations indicated non - support of the contact recreation use based on both the geometric mean and single sample criteria. It should be noted that the geometric mean criterion will be the basis for pollutant load allocations and required percent reductions within the two 2 -6 L-Z `SMN) a3gw3AON 31ul oT piui ui Ouiaan000 Tsoaj Tsaid all pup goauW pjw ui Ouiaan000 Tsoaj Tsul auT Tim `sXpp 6bZ Tnogu aoj sTspl XIluaauaii poiaad aaaj -Tsoaj aqi •(p600Z `SAW XITuanbaaj san000 aauluann pliui Xaunuu f ui uana TugT os `panel Taogs aau an000 Xllpuoisu000 TugT ploo auiaalxa Jo spoiaad •3anjundw3l ui sdoap uappns Xq paiuudw000u aau uaTjo pup `gluow goua sauzil aaagl Tnogu an000 sluoij ploo ujagizou Tnq `pliui aau saaTuiM •(p600Z `SAW TOM W 3 .08 spaaoxa Xlaaua aanTuaadw;)j Wool auT `.zanannoq 'j 0001 anoqu uo7jo aap goigm `aauiiuns jo saanjundw3j Tsoq &tl aqT Xuudui000u Xllpaau32 sai)Is area '(p600Z `(SAW aoiAaaS aagTpam TuoiTuN) ai?uua aanTuaadwol Imuuu ap!m p ui EuiTlnsaa `snjulm pl!w pup saauivans Tog Xq poziaaTopapgo aTuuailo Ipoidoilgns u spq `XpnTs sigl aoj sNaaao 0ml aqT Sululu03 gotgm suxal lualuaD gTaoN aleui113 pup ,0olo.Ip,9H paps -IM'M b'Z --- I it, Z9 l Z R£8'17< i Z 17C £ ___ Idol 10 UZZ80 o� SeileQ / 9£9 -I3o wealsdn w 66L Z8 81 8£8`b< 8b ZZ 6£6Li _ 10 £IZ:Z80 S£S 'P ^IS Iuai?ag a2ppgjoweailsdn IZI SZ £ 61 t,`Z< I z I£SLi IO EIZZ80 WON P139-11d --- 98L £L Sb Ob8`17< 61 Z9 - -- Idol ZO VZZ80 oDSL'IIeQ /,P2 AJOIS •ICI I18 LL £Z Ob8`tl< 66 0£ 991Li ZO VZZ80 'off SeileQ •p2I 179L 69 ZZ 8£8`�< 61 Z£ 991Li — ZO dZZ80 / awlllag 'N --- Lb %Si 8 009`Z I> bS - -- Idol i 0 VZZ80 'oD Sullea / (XmH lsamul OM) it, %01 £ LL6 U i£ 891 L i i 0-VZZ80 8b£ -indS o� SjjVoB / bSi %LS b OOb`Z< £ L L91Li i0 VZZ80 ,X angladoey�i 'ICI •65 Sunua / p ^IS ingllV,3v i'N L£ %9 i 009`Z Z 91 69£81 _ 10 VZZ80 3o weaalsdn w ££b aauepaaax3 saaue •3uo3 •auo3 uoi;eoo� ueay� % eldweS - paaax3 !103 -3 �loa -3 sa�dweS uoi;e;S l�ufl ai�;awoaE) a�6uiS eldweS painseeW poinseeW ;o •oN ;uawssassy 816uiS •xew •uiw ('Im 001/1\IdLk) slon6ile Zm 001 .iad .iagmnu algego id Isom ui uaniN suoile iluaauoa eila ;aeg •b00Z sago ;ap g2no.iq; 1002 aagmanoN moa; palaalloa (TO 13ZZ80) 3laaa3 al"adw!) pue (ZO VZZ80 pue TO VZZ80) gaueag pooetuol;oa .ioj e;ep yon g Nuiao;iuom aullnoa 3o ,f iemmnS T-Z alge.L •suoiTpinoluo uoilmpaa pup ssaooad uoilpoollu agT ui pasn aq Tou Ipm uoiaaTiao aldims 312uis aq L •spagsnjum XpnTs satpdadaid pays ralvAl puv mamag viva /voldoiszH s7QN j vzaajavg rof luaurnjoa j ioddng /vatuyaal Technical Support Document for Bacteria TMDLs Historical Data Review and Watershed Properties 2009a). Annual average precipitation is approximately 35.5 inches (902 mm) based on recorded measurements at DFW International Airport from 1994 through 2008 (NWS, 2009b). Because of the absence of any streamflow gages on these two creeks, the hydrologic conditions (e.g., perennial, intermittent, ephemeral) of Cottonwood Branch and Grapevine Creek can not be absolutely determined, although limited information and data do provide valuable insights into this issue. Observational records from TCEQ sampling events for upstream sites in Cottonwood Branch indicate no flow on several occasions; however, at least very low flow was always present during monthly sampling events conducted by TIAER during January — August of 2008, including dry summer periods. In Grapevine Creek similar contradictions are present between TCEQ historical sampling data and more recent 2008 TIAER sampling data. Flow was always present during TIAER's sampling on Grapevine Creek although it was only a negligible trickle in the upstream sites during dry periods. The thick channel vegetation in Grapevine Creek at Airfield Drive (see Figure 2 -4, station 17531) can make it difficult to discern whether or not flow is present, which may be a factor in the difference in observations. Mr. Tim Wentrcek, a representative of DFW Airport, attested that he had never seen the creek dry, although flow was extremely low during periods of low precipitation (personal communication, 2008). He attributed the perennial flow to a deeply cut channel, suspecting that seeps from the channel wall contributed at least some water to the creek. Mr. Wentrcek also observed groundwater infiltration into the DFW Airport stormwater conduits, buried 6 -8 in below ground, which also contributes flow to Grapevine Creek. Though available information are not totally conclusive, perennial flows in Cottonwood Branch and Grapevine Creek can be largely inferred from anecdotal information and field observations in sampling records. 2.5 Land Use / Land Cover The land use /land cover data for Cottonwood Branch and Grapevine Creek were obtained from the North Central Texas Council of Governments (NCTCOG) GIS Data Clearinghouse website (NCTCOG, 2009a) and represents land use /land cover estimates for 2005. The land use/ land cover is represented by the following categories and definitions: • Commercial/industrial — Commercial/ industrial includes land occupied by commercial businesses, industrial complexes, government institutions, and/or transportation areas such as airports, airport runways, highways, and parking lots. • Residential — Residential is property that contains single - family and multi - family housing units. • Undeveloped — Undeveloped includes land that is either vacant or under construction and may include expanded parking areas. • Infrastructure — Infrastructure includes roadways and utility structures. • Parks — Parks includes open areas with maintained turf for the purpose of outdoor recreation such as traditional parks and golf courses. 2 -8 6-Z 'SF[Qdl aul zapun ltuuod fq palulnOw lou air SlIviouai? saomos aul pur `jjouru 11jutui Xq s. 3 vm xm in of paTjjpo Xllunsn si puu suotlrool oldillnut utoaj solpudii.to uotlnllod atll fuiuVaui `omlru ui aaanos lutoduou /,IlpotdXj are saoanos palrin2at -uoN -sailio jo (stSW) sutals'is aannas uuols alrredas tudtotuntu pup `uotlonzlsuoo `sat.tisnpui utoaj sa2.trtl3stp .talum uuols puu s32.tptlostp (A 1,rnm) Xi!ltouj luautlpaal jolunnmum atp saomos palrinOaa jo soldurexg •(SHadN) utalsXS uotluulwllg olbugosi(I luulnttod IpuotTpN aul pUL' (SHQd.L) utalsXS uopvuturtlg ai?.regosiCl luulnttod srxaZ aul tapun sliuuad anuq palrin23a oip luql saomos uotlnIlod -pa)v1n2a.1-uou puu pajvjn2a.1 :sat.to2alp3 Xiumud oml olut papinip oq uuo uotlnllod piaalouq aolumput jo saomos Irilualod sisSluuV aaanoS 9'Z 00'001 £LO`£ slulo.L 8Z'0 8 aaWm Z8' 1 9S s31ard SL'U M, tuiluapisa -1 tl0'SZ OLL Iuiajsnput/luiozauzuzoD 89'SZ 68L padolanapun £V££ LZO`l amlonalsvijul Iulo.L (uq) uoil i.iasa(l jo % uaav paqualum (10 gZZ80 fIV) 3iaa.13 au"nadua f) aql io3 favmmns aanoa/asn puu-I £ -Z alqul 00'001 £ZL slulo.L 19'0 t, JOWA LF9 Stl s31zrd Z I'6I 8 £ 1 aanlongsrajul £S' 1Z 991 jvi.rlsnpul/lriotaututoD 99' I Z 991 padolanapun 10' t £ tlZZ iprluapisag IuloZ (uq) uoil t.lasa(l jo % ua.av - pagsaalum ZO VZZ80 fIV paaiudmi lgauuag pooetuolloa aql io3 farm tuns iaAoa/asn puu-1 Z -Z alqul '(£-Z aigpZ `.9 -Z a OIA) zanoo purl aul 3o %Z asijdutoo sauoi?alpo asn puul Ouiureutat ails '(%t 1) tuiluapisaa pup `(o/ %SZ) tuijlsnpui /Iriotaututoo ( %9Z) padolanapun ( %££) ainlontlsrtjui apnloui patlsaNUM 10-UZZ80 fiv aul ui sasn puul lupututoCl -(sal!w atrnbs Z inoqu) uq £LO`£ st 313aaD aUinaduzf) Ouissuduzooua paap pags.talum OgJL •aanoo purl atll Jo %L osiadwoo sauo0aluo asn puul Ouiuitw3i aq L -(Z -Z 31guL `S -Z aangiA) ( %61) aanlonjlsutjui puu :( %ZZ) iri.tlsnpuylrioaaututoo `( %ZZ) padolanapun `( %I £) ipiluopisa.t apnloui patlsjaltm ZO VZZ80 fIV aul ui sasn purl lurututoCl -(sabot aiunbs £ lnogp) utl £ZL sl dour -19 poonmuolloD Jo ZO VZZ80 fIV Ouissudwooua uoju 32rutujp oql -aalum uado jo spaau llu sopnlout iolpM — .ialuA*, satpiadodd paijuapvAl puv ntaMag vpvQ pvoz.ropstH s7aNj vz.rapovg dof puotanoo(I p roddng Ivorugiaj o� 0 m i q v .y 0 I N h 0 .i o� U L U i 0 U ' Belt Line Rd w v c CL U N N N E N > Y (p N ciao g e n� it � �•• r , OI q � • N I _ ..m N OI N N I ti� o Macarthur Blvd f r: v O � v C � O m I N L bA O N ua a N I^^ 1� m A C t9 ■s O 'S M1 C fD fDn fs fD m er ft N I AmHd let PH oui-I I109 tr % I z t .Vul m C D 0 m m o ro a .. m m c o o n m n c � a - c _ N rn N y #' t O O sy � ti O M n Z 5 0 �b p a. i �I 'b co z N � w N P8 uolua4 .A w rn 4' 111i anyyeoeyv 1-t O LA fp LA � ti O M n Z 5 0 �b p a. i �I 'b co z Technical Support Document for Bacteria TMDLs Historical Data Review and Watershed Properties 2.6.1 Permitted Sources Permitted sources are regulated by permit under the TPDES and the NPDES. WWTF outfalls and storm water discharges from industries, construction, and municipal separate storm sewer systems or MS4s represent the potential permitted sources in the impaired assessment units of Cottonwood Branch and Grapevine Creek. 2.6.1.1 Wastewater Treatment Facility Discharges Currently there are no authorized domestic or industrial WWTF dischargers located within the watershed of Cottonwood Branch. DFW Airport has an individual storm water permit (WQ0001441) that includes one outfall (059) that discharges to Grapevine Creek. The permit is targeted at the control of runoff following aircraft de -icing operations. The discharge is considered intermittent and variable (subject to precipitation and runoff), and no flow limit is specified in the permit. In addition, the Airport is also covered under the TPDES Phase II General Storm Water Permit. Given the circumstances of the permit, this outfall will be treated as part of the TPDES - permitted storm water discharge load (discussed below). The entire watersheds of both impaired assessment units are located within the wastewater and sewered collection system area served by the Trinity River Authority (TRA) Central Regional WWTF (Figure 2 -1). 2.6.1.2 Sanitary Sewer Overflows Sanitary sewer overflows (SSO) are unauthorized discharges that must be addressed by the responsible party; either the TPDES/NPDES permittee or the owner of the collection system that is connected to a permitted system. SSOs in dry weather most often result from blockages in the sewer collection pipes caused by tree roots, grease and other debris. Inflow and infiltration (1/I) are typical causes of SSOs under conditions of high flow in the WWTF system. Blockages in the line may exacerbate the I/1 problem. Other causes, such as a collapsed sewer line, may occur under any condition. Determination of the importance of SSOs as a source of bacteria loadings is typically difficult to assess. A damaged sewer line in the vicinity of station 17166 in Cottonwood Branch (Figure 2 -1), which has been repaired, is suspected of being a major source of high E. coli values determined for samples collected at this station in 2008 during TMDL bacteria data collection. Determination of the overall importance of SSOs as a source of bacteria loadings is typically difficult to assess. The TCEQ- maintained database of SSO data reported by responsible entities in the Dallas -Fort Worth Metroplex was reviewed for the period September 2003 — February 2009. The database contains entries that appear to be within the Cottonwood Branch and Grapevine Creek watershed, though most of these entries are the result of relatively minor line blockages. Based on available information it is concluded that SSOs are not a widespread source of bacteria to the two creeks; however, they may at times be a significant source in localized portions of either creek. 2 -12 £I-Z :opnloui (£OOZ DDdMlgN) 9a1h11vdtolunN .ro, f'yoogpuvH V :lvnunN uo.yvuruttpy pub uol;oa;aQ a2.lvyostQ 1!0-11113111 ui pagiluapi saBaugostp liailli jo saldtuuxg •suoiingiiluoo loaiipui .io loarip jatllia su p3zuo23luo aq uno saoiugosip 1131111 '(£OOZ DDdAc JatN) «sailinilon iiuiltl0g -3ig uio.g Buillnsaa saiijntlosip puu liuuad SgQdN uu of luuns.md sa2autl3sip ldaoxa `.ralunn uuols jo Xlazilua pasodutoo lou si luul .tanmas uuols aluzudos Iudiotunut u of 32Jutlosip Xun„ sn st�SW II asngd JOJ 0000t02It I 'oIN liuiiad lunu3D Sg(Idl ui paugap si «a2mg3stp lioilli„ uuol c)ql •suoilipuoo aaglnam lane puu �p tlloq .iapun sa2zutlosip liailli puu sllujlno palltuuad uuozj suinaals c)ql .ialua uno aalnnn tuaols tuog spool uilaloug sa2.ingasiQ IiatllUsa2.ingasiQ .iaglnaAl faQ b'1'9 -Z IO UZZ80 fIV Joi Buipuol tSW aul jo Lind su paliewl oq Illm liodjiV AAja .ioj ltuuod talum uiiols Iunpinipui aill ui 690 Iiu3ln0 `Xisnoinazd palou sV '(L-Z 3inBi3) sliuuad tSW jo uaiu palulnOw aql uitllinn si patlsaal -em sli Jo %8'ti8 (10 UZZ80 fIV) �laaaD auinaduil) .ioj puu `sliuuad tSw .13pun palulnBaz si (ZO VZZ80) tlouuig poonnuolloD Jo [1V paatndwi aql jo pags.talum aailua 3ql •(I, -Z 31gj) liuu.zad I asutld u annq iliaoglnV XvmIlol suxa,I ujJoN puu 2utnJI Jo XliD `sullBa Jo �4!D aul `patlsJalunn aatllia ui sailpuo palluu.uad tSW aul jp -uajV paziuugzrl snsu3D OOOZ aul puu sliuiil Xlio aql jo snafu 2uiddulaano JO uotloasJalui aul su paugap si naiu luumpipsu f aul sliuuad II asugd aoj puu sltuiil f,lio aul Xq paugap si uwu Inuoiloipsi.mf aul sltuiiad I asutld .io3 •,ililua palnlnBaa aul jo soi.uupunoq lnuoiloipsiznf aul uigl!m uaju Xpnls aul jo uoi7pod lugj si sliuuad tSW II puu I osuild Xq paaanoo 3133JD auinadLjD puu gouuag poonmuolloD jo uodiai oitldvi2o32 oqL i?uidaa3l3snoq poo2/uoilu3najd uoilnilod Q puu `.lozluoo jjouni uoilonilsuoo -lsod Q `loiluoo jjouna alis uoilotulsuoo Q :uoiluuiuiila pun uoiloalop a5ant4ostp liaiiiI `luauuanlonui/aoiludioipud oilgnd Q `tlmoilno puu uoiluonpa oilgnd Q :swnsuaut Ioiluoo umuuuiuu xis joj (s IWU) saoilonad luatuaiiuuutu lsaq jo uoiluogioads winbw sdWAkS oql '(,IWAkS) uiuJOoid luauuai?uunW .ialunnuuaolS n Ouiluautaldun puu 2uidolanap ,iq «alquoilonid lualxa umunxutu„ aul of aalnnmuuols ui sluulnllod jo s32intl3sip aonpai of si liuuad tSW u jo asodind 3ql •ltuuad Inaauag u Xq palulniiai azu saililua II asutld •snsuao OOOZ aul Xq paugap su uaiu paziunq.m uu uigl!m paluool 000`001 uutll lu m lw agn 0 �uaaxa ssal suoi i uiu u l o suoilulndod ulim sai}iunuiuioa pazis tunipaut puu ai?.rul ioj sliuuad Iunpinipui aau sliuuiad I asugd ' ,(Iiiiau3 luauuluaal 1 uuals,(s U0113 31103 aalunmolsum u of 103uu03 loo op lug1 `s.13mos uuols puu `s.t3lln2 `sgmo `satloltp su dons `aouu,(anuoo XuP apnloui sltuzaad II puu I asvgd aul tllog •stuals,�s aalumwjols jiatll aoj slituiad uinlgo of seam uugan ui soililua .iatllo umlaao puu soiliiudmiunui winbw salnz II puu I asutld (tSW) aannaS tuzolS alu.undaS IudioiunW SgQdN/SgQdN au L aalnM ivaolS palnin2an £'1'9'Z sa aado rd pagva;vAl puv mmaraay viva /no.ijols2H s-IaNI vtuajovg iof juaumnooa jdoddns jvoiuyoaL Technical Support Document for Bacteria TMDLs Historical Data Review and Watershed Properties Table 2 -4 Phase I and II MS4 permits associated with the TMDL area watersheds. (All Phase II entities are covered under TPDES General Permit No. TXR040000) Impaired Regulated Entity Name NPDES Permit TPDES Permit Assessment Unit Number Number 0822A02 North Texas Tollway TXS000703 WQ0004400 -000 Authority 0822A_02 and City of Irving TXS001301 WQ04691 -000 0822B 01 08221_01 City of Coppell TXR040375 Phase II General Permit 08221_01 City of Dallas TXS000701 WQ0004396 -000 08221_01 DFW International TXR040044 Phase II General Airport* Permit 0822B_01 City of Grapevine TXR040114 Phase 11 General Permit *For purposes of this TMDL, Outfall 059 on the DFW Airport individual storm water permit (WQ0001441) will be included as part of the MS4 - permitted storm water coverage at the airport. Direct illicit discharges: ■ sanitary wastewater piping that is directly connected from a home to the storm sewer; ■ materials (e.g., used motor oil) that have been dumped illegally into a storm drain catch basin; ■ a shop floor drain that is connected to the storm sewer; and ■ a cross - connection between the municipal sewer and storm sewer systems. Indirect illicit discharges: ■ an old and damaged sanitary sewer line that is leaking fluids into a cracked storm sewer line; and a failing septic system that is leaking into a cracked storm sewer line or causing surface discharge into the storm sewer. 2.6.2 Non - permitted Sources Non - permitted source loadings enter the impaired segment through distributed, non- specific locations, and are not regulated. Non - permitted sources of indicator bacteria can emanate from wildlife, various agricultural activities, agricultural animals, land application fields, urban runoff not covered by a permit, failing onsite sewage facilities (OSSFs), and direct deposition from humans and animals. The entire watersheds of Cottonwood Branch and Grapevine Creek are included in centralized wastewater collection and treatment systems of the Trinity River Authority Central Regional WWTF (Figure 2 -1). Nevertheless, according to the North Central Council of Governments, who supplied this information, small portions of the areas included in the 2 -14 ara' a N J N F, 4" 3 N. 4 Z� O C/) � A A p7j (D N C:) C) 7� 7 N W N )iUaQ -A W Ln ON 6 W ((D V .�+ O O 3 O (D N [D Ri a 0 b 0 Z n N Z O O Z n' Q A co 'b z z m' Technical Support Document for Bacteria TMDLs Historical Data Review and Watershed Properties centralized collection and treatment areas could still be serviced by on -site sewage facilities (OSSFs), though the likelihood of many OSSFs in these two watersheds is remote. Because OSSFs are either very small in number or entirely absent in these two watersheds due to the presence of centralized wastewater treatment and sewered collection areas, further consideration of OSSF as significant sources of bacteria is considered unnecessary. 2.6.2.1 Domestic Pets The number of domestic pets in the watersheds of both creeks was estimated based on human population and number of households obtained from the NCTCOG Research and Information Services website ( NCTCOG, 2009b). The information obtained from NCTCOG included population and households projections for population districts that encompassed the watersheds of AUs 0822A_02 and 0822B O1. The district level projections for the year 2005 of population and households were multiplied by the proportion of the district area within the watershed to generate an estimate of the watershed's population and number of households. This estimation assumes that the population/households are uniformly distributed within the area of each population district, which is the best estimate that can be made with the available data. Based on the urban nature of this project and the availability of relevant data, dogs and cats are the only pets considered in calculating loads for domestic pets. Fecal matter from dogs and cats is transported to streams by runoff from urban and suburban areas and can be a potential source of bacteria loading. Table 2 -5 summarizes the estimated number of dogs and cats for the assessment units of the TMDL area watershed. Table 2 -5 also provides an estimate of the fecal coliform loads from domestic dogs and cats. These estimates are based on estimated fecal coliform production rates of 5.4x108 per day for cats and 3.3x109 per day for dogs (Schueler, 2000). Pet population estimates were calculated as the estimated number of dogs (0.632) and cats (0.713) per household (AVMA, 2009). The actual contribution and significance of fecal coliform loads from pets reaching Cottonwood Branch and Grapevine Creek is unknown. Table 2 -5 Estimated households and pet populations within impaired assessment units (0822A_02 and 082213_01) Assessment Unit Estimated Number of Households Estimated Dog and Cat Population Estimated Fecal Coliform production (109 organisms) Dogs Cats Dogs Cats 0822A02 5,602 3,540 3,994 11,683 2,157 0822B O1 11,673 7,377 8,323 24,344 4,494 2.6.2.2 Wildlife and Unmanaged Animal Contributions E. coli bacteria are common inhabitants of the intestines of all warm blooded animals, including wildlife such as mammals and birds. In developing bacteria TMDLs, it is important to identify by watershed the potential for bacteria contributions from wildlife. Wildlife are naturally 2 -16 LI-Z •,o2ajna Iwauai? u su saiaads ajtipl!m wozj suoiingialuoa leiaajauq jo 3pnjtu0uw auj ssassL' of llnaljjip si Ji `XjjuanbasuoD •pagsnjum ail} ui saiaads UUTAU PUP ajtipl!m jo uoilnq!jlsip IuilUds puL, suoilulndod almilsa of alq -etieAU UJUp Ju3131jjnsui Xlluauna wv aaaqZ •jjouna Ilu3uina Xq sTuL,3jls �gmnu oiui pagsum aq Kutu 1! 3j3q m `saanjans puul oluo paIisodap osl-e are ajilpl!m uzoj upolauq pmA •Xpoq i3jum u of 2uipuol uiaajauq jo ownos paIujluaauoa u oq una 31sum 33ilplinn jo uotlisodap 133aip a,tl `tauuLgo turwis 3qj of ssaaa, iaacip ujim saaniz pue swL,3jls jo saopt.zzoo umiudu of paruallu sat - todord paysra)vM pun magaad viva jvot.ro;stH s7aNj vtiajovg iof;uatunooa poddnS jvotugoaj Technical Support Document for Bacteria TMDLs Historical Data Review and Watershed Properties 2 -18 I-£ aou `sluoO rICIW L gores of sailouoiddu uoiluoollu anT uiailu alunluna 01 satjtlTquduo ant oipazd ail, anuil jou soop poillaui D(I I ail •aojod )Isu L ailj �q papuauiuiooaa (sD(j-I 2uipnioui ilouoiddu paiail- aaigl) ssaooid luaau32 puu saldimild oqj paldopu gDAkSS L ailj puu j)gD,L ails `LOOZ aunf uI •(LOOZ 11 -dMI) juauidolanap -ICIWI of ilouoiddu p3j3q- 33iilj .iiaiii uiglim poillaui anano uoilump puol ailj jo uoi ImIddu pjsains (gDmSS.L) piuog uotjuniasuoD aa1um puu poS 31% suxaZ Dill puu OgD L Dill Xq pajutoddu s-ICIW L Iupajoug uo ooao3 NSU L Dill `.iailpnA •slapouz oijsiutgoauz Inpomod aioui aill jo asn utualsuoo juilj s- ICIW,I, uinjoug gjyA suoijujtuxii uoiluuiiojui juanbaij Dill saziui?ooaa Xitunuiuioo holuln2w 3qL •uotluoilddu jo asua puu gouoiddu ails jo �4pijdwis Dill of onp Xl!jut itad `,�ITunuivaoo XiolulnSai ailj 2uouiu aouujdaoou puoiq XlantJulaJ punoj suit poillaui DQ-I Dill, •juauumdun oqj of 2uiingijluo3 aq Atu juilj (jutoduou puu jutod) saoinos jo satao231uo puoaq Xpluopt of pasn aq uuo uoiluuuojuT sigL •Oupin000 Xiluotd,Kj Diu sluauutuduii ilotgm aapun suoilipuoo oi2oloipKil ailj jo uoquutuualap ailj zoj snnollu poiljaui anano uoiluanp pool ails spuol Umoils 2utluuiils3 of uoiTippu uI -(£OOZ puulato) ujup uoilviluaouoo juLInllod pamsuaui pun moUuivaals jo uoiingTalsip fou3nb3JJ antlulnuino Dill 2uiziliin Xq spuol olqumollu puu 2uilsix3 jo uoiwtuilsa .ioi smollu poglotu Dall 341 •saoinos puol luuinllod jo suoiWoollP 3ntWuua31Iu olunluna of s3pillquduo Mllotpwd olquuosuai puu uiaisXs ad 4�ojojd ails jo sassaooad luots Kqd puu pnituogo `lu3i0olotg juuiiodiui ailj jo Butpuupsnpun sapTnoid lapoui oijsiuuiloaui ailj `alquigtjuunb XIqujdaoou an sassaoozd BuiuI3AO2 ailj aiailm saouulsuinmo .iapufl •uoiluIluaouoo up3puq puu moUum3iis su dons `salquT.iun UTBIJ33 Jo osuodsai ailj outu npp juili sossaooid poi2oloig puu `luoiuiailo `luotsKgd OutunAOO Jo uoTIujuasa.rda.i .ioj apTnoid luT41 saldiouTrd IuoTjaaoailj uo pasuq Diu `slapoui ssaooid su of pauapi oslu `slopoui otjsiuuil33W anano uoiluinp puol Dill su of pauajaa gmoiddu luopiduia uu puu slopoui aalnduioo oijsiuuiloaui —s jCjW , uTjajouq .ioj pasn Xluouiuioo azu slool oisuq Oml `lMWO uI •(LOOZ `I-dAY ,L) podag oojo3 }Isul rijopug suxaZ ou gill ui aupTn5 puu `10 gZZ80 puu ZO VZZ80 sfIV .ioj ujup oigtoads- pails -ioj -em jo f4!pqultunu Dill `loot iloua jo sluauzaitnbai ujup ailj Xq pauuojut sung XIddu of loot utialouq aluTadoiddu ailj uo uoisioap gill •uTaaii.ro 3111 puu s5utpuol iiuTlsTxa uaannlaq saouajajjTp i?ututuuajap uT IsTssu of patlddu aq Isom loot u luoO still gsTldw000u o L •asn uoTluaaow mjuoo ailj OuTloaloid uijalT.io ointunu juauTliad jo suopulm ui llnsoi jou op spuol Iujol ails Imp dons saoinos at3T41 of spuol `yon •,V `•a•T `mi3jouq futuihssu sanlonuT sasn IuumW13joaa of sluauiatuduii sswppu of ssaoo.id luauidolanap -ICIW I, ai l uotlaalas Ions, I'£ • IO gZZ80 puu `ZO vZZ80 `I O VZZ80 snv ui suoiWuJS Out.ioITuoui Juunalaz aoj padolanap sanmo uopRinp pool puu aouupaaoxa Wool,; ails jo uoiluluasajd -ql!m sapnlouoo uotloas still •somno aouupaaoxa moU pajupossu puu sanano uoiluinp puol Ouldolanap JOJ papTnoid sT XOolopoillaui oqj jo uotldt.iosap u IxaN •poillaui (OQ-I) anano uoiluinp puol ailj su of pauajaa Xluouiuioo `gmorddu pasuq Iuoijiduza uu jo uopoalas ailj putilaq Outuosuaz ailj jo uoTluuuldxa uu gllm utBaq Iltm uoissnosip ail,L •'IaWl oqj jo luauidolanap puu uotjuoidTjuapt ao nos ui isissu of pasn aq Ilim juilj loot utaajouq aql .ioj sTsuq ailj sapTnoid uoiloas sigl 1N3WdOl3n3a IOOl VIN31OV13 £ NO1103S luaurdopaaaQ pool bz ra ;ang s7QWL z yapvg iof juauunooa poddnS Imiuyaal Technical Support Document for Bacteria TMDLs Bacteria Tool Development can it be used to quantify specific source contributions and instream fate and transport processes. The method does, however, provide a means to estimate the difference in bacteria loads and criteria, and can give indications of broad sources of the bacteria, i.e., point source and nonpoint source Streamflow and E. coli data availability were used to assist in the bacteria tool selection process. Hydrologic data in the form of daily streamflow records were not available for Cottonwood Branch or Grapevine Creek; however, an extensive period of hydrologic data was available from a US Geological Survey (USGS) gage on nearby White Rock Creek (Table 3 -1). Streamflow records can be derived for Cottonwood Branch and Grapevine Creek by utilizing streamflow records obtained from the White Rock Creek gage and applying a drainage area ratio to those records, which is a standard technique used to estimate streamflow for ungaged streams. Table 3 -1 USGS streamflow gage at White Rock Creek. Dallas (nnnty_ Tnvae Gage No. Site Description Drainage Area (ha) Daily Streamflow Period of Record (date) 08057200 1 White Rock Creek, Dallas, TX 17,198 Oct. 1960 — Present Collectively the data obtained from both routine ambient and TMDL development bacteria monitoring provide a data set containing a substantial amount of E. coli data at several locations in the watershed (Table 3 -2; Figure 2 -1). Table 3 -2 Summary of combined data set of TCEQ and TIAER Project Team E. coli concentrations TCEQ Station ID S AU RoutineAm�bient Data TMDL Development Data Total Number of Data Values 17167* 0822A_01 04Dec01 — 02Dec03 09Jan08 — 07Aug08 35 20320§ 0822A 01 04Dec01 — 19Oct04 09Jan08 — 07Aug08 43 17165 0822A_02 04Dec01 — 19Oct04 09Jan08 — 07Aug08 44 17166 0822A_02 21 Aug02 — 15Jun04 09Jan08 — 07Aug08 42 17531 08228_01 05Nov01 — 23Jun04 09Jan08 — 07Aug08 24 17939 0822B_01 03Sep02 — 18Oct04 09Jan08 — 07Aug08 34 20311 082213_0 1 No Historical Data 09Jan08 — 07Aug08 12 * The data for station 17167 also includes the E. coli data collected at station 18359 § The data for station 20320 also includes the E. coli data collected at station 17168 3.1.1 Bacteria Tool Selection Based on availability of an adequate amount of E. coli data for stations in Cottonwood Branch and Grapevine Creek, the nearby hydrologic record for White Rock Creek and the absence of detailed site - specific information on fate and transport of bacteria in Cottonwood 3 -2 £- £ puu silluoui Sip uzoij uoiluiren alquumni u uiuluoo of uoiluznp luaiotdjns jo si potiod juox -SI V •uxlul. opun sum vojja siul mull agl lu ulup yoo •_V alguliunu IF Jo salup uoiloalioo all sapnloui pouad =X -SI siul puu uolluls iloua lu sanmo uoiltlinp motlujua.zis aul dolanap of paloaias sum 80OZ `L lsni?nV il0no qj £661 18 lsnBnV woj moilureazis Xpup Jo pzooaz MX-91 u `azoJaaaq L •paloalloo ajam ulup goo •g agl uailm pound auul 3111 ol paltuiil lou ing `i?uipnloui pagsiolum agl utiilim paouaizadxa suoilipuoo luaoaz Jo aniluluasoidw aq oslu `zanamoq `pinoils poloalas paooaa jo pouad agl fuimp moij gill •swat, uotlulidioaad moi of ilotil uiojj r4iliguiaun 312010jPXq puu smoiluzuaals mol puu u2iu jo sauiaalxa ajnlduo of japio ui olgissod su ulup gonna su apnloui pinoils sanmo uoilump mo11 dolanap of pzooaz jo pound aul `XIluuzildp -13oiD auinadrJD puu Llouuig poomuolloD jo luul of asn puul jo Xlizuliuzis aul puu Xliuzixoad uo pasuq uasogo sum OOZL9080 AUi? 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Stations 17165 and 17166 were located within the impaired portion of Cottonwood Branch (0822A_02) and stations 17531, 17939, and 20311 were located within the impaired portion of Grapevine Creek (0822B_01). Stations 17167 and 20320 were located in the non - impaired portion of Cottonwood Branch (0822A_01) and were included as additional information, though bacteria TMDL development is not required for this assessment unit. 3.3.3 Step 3: Develop Daily Streamflow Records Once the hydrologic period of record and station locations were selected, the next step was to compile the 15 -year daily streamflow record for each station. The method to develop the necessary streamflow record for each selected station involved a drainage -area ratio (DAR) approach. With this basic approach, each daily streamflow value at the nearest representative USGS gage is multiplied by a factor to estimate the flow at another station based upon the relative drainage area of each station. The factor is determined by calculating the ratio of the drainage area above the sampling station to the drainage area above USGS gage 08057200 on White Rock Creek. The drainage area for USGS gage station 08057200 and the sampling stations in 0822A_02, 0822A_01, and 0822B_01 are presented in Table 3 -3. The drainage areas were developed using the Geographic Information System (GIS) interface called AVSWAT -X (Di Luzio et al., 2004). Table 3 -3 Drainage area ratios (DAR) for USGS 08057200 at White Rock Creek, Dallas, TX, and sampling stations from AUs 0822A_01, 0822A 02 and 0822B 01 Assessment Unit Station Station Drainage Area (km2) USGS 08057200 at White Rock Creek Drainage Area (km2) DAR 0822A_02 17165 2.40 172 0.014 0822A02 17166 5.12 172 0.030 0822A_01 17167 9.67 172 0.056 0822A_01 20320 11.9 172 0.069 0822B_01 17531 6.09 172 0.035 0822B_01 17939 9.73 172 0.057 0822B_01 20311 34.9 172 0.203 3 -4 s -£ molluivaajs o uus oT41 uo posuq si DQ3 iloua osnuoog 'ZO VZZ80 f1V paziudiui 3gljo ureailsumop moll aTll Suip ugw uoijV UIOJUT apinoid of sum jiun juauissossu siT41 uiTim sanrno uoilnznp molj Suilonilsuoo jo asod.ind 3qj `pajiuduii jou si IO VZZ80 f1V ollq A '(£-£ aini?i j `IO gZZ80) jowD auinadvjD uo suoiluis aoj puu `(Z-£ pun I-£ saanOi3 `ZO VZZ80 pun IO VZZ80) Tlouujg poomuonoD uo sliun luauissassu T41oq uiTllim suoiluis aoj padolanap aaam sDa j •suoilipuoo poog .io mog gBiq jo spoind OuT.mp .in000 %0 2uigouoaddu sanlun aliTim suoilipuoo jgBnoip zo moll mol Buiznp in000 %001 reau sanlun aouupaaoxg •sixn -X 3qj uo anlun mold pajutoossu aill anogu 10 ju sum moll jugj scup jo juaoaad aill luasazdaz sixn -x z)ql ouolu sanlun aouupaaoxg •(sixn -x) anion aouupaaoxa sIi IsuiuOu (sixn -X) onlun mog Tloua OUIPOid (£ '001 fq iluiXIdillnui uaill puu I snid sluiod ujup jo ioqumu lulol oqj Xq �juui qnn fuipinip Xq popaaoxa sum mog Tloua sXvp jo luoond all OuilulnoluD (Z Isamol of IS3q q Tuoij ujup moll Xliup otli Ou13lur -d ( I Xq pajuzauoO aiam sanjno uoiluanp moll oilL wiluis goua aoi DQ3 u dolanap of pasn aiam (sTUo) pu000s .iad si3loTu oigno jo shun ui uiup mog Xliup 3qj, ()([j) j) sa unD uoi;u inQ moi3 3o ;uauidolanaQ :t, dalS t,'£'£ • I.6't, uOlT33S ui IiuPp -l3Tu3a!3 ui passnosip si luouoduioo TlvmoA ajnlnj siTil dolanap of p3folduia XBolopoillaui gill •suoijuInduioo uoiluoollu pool luulnllod all uiTl}im luauoduioo Tlvmo O aanlnj aTll sjuasaadaz juill anlun Xliup Tloua of mold liuuis u Ouippu panlonuT 13suJup MOIJUM3I1S oqj 5uidol3n3p ui dais luuig ails •uIup ai?auilosip NMI J.LANAk iuu012a21 Tlouuag pXol3 oqj Ouilou.ilgns inoTllim gouoaddu 2IVQ ailj ui pasn sum pa033.i mouluuaajs p320 133JD looN aliTltA ail, 3ioj3joq L *32ju losip A.I mm 3qj Outpuilgns uioij palinsaz jugj piooa.i 133JD 31oo -d 31iilm all ui mogwuwls Jo aouasqu 3qj molts of alqujdaoouun sum 1! jugj papnlouoo sum 1! `moll lumuaiad poouai.iadxa �laaiD auinadu.iq puu Tlouu.Tg poomuolloD jo sz3jumpu3q 3111 uana lnTll `ulup pajiLuii uo pasuq 1T3glu £•Z uoijoaS ui papnlouoo sum ji asnuoag •(gldap njumpunoji? 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The streamflows and associated E. coli concentrations at each of the stations are provided in Appendix A. Based on antecedent rainfall, each measurement was considered as being collected under dry or wet weather conditions. E. coli data from sampling events that occurred within 24 hours following a rainfall event was designated as a wet weather sampling event. Data obtained from wet weather sampling occurred during all flow regimes and often exceeded the geometric mean criterion. Data points indicated as wet weather that occurred under lower flow conditions (right side of Figures 3 -4 — 3 -10) typically represent E. coli data collected after a small rainfall runoff event when conditions up to the event were very dry. E. coli data plotted as occurring under high flow and not indicated to be collected under wet weather conditions are potentially an artifact of using the White Rock Creek streamflow data to create the FDCs and LDCs. 1.E +1' 1.E +1 2 a 1.E +11 Z IL u 1.E +10 Uj 1. E +09 1. 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