Mining your water quality data can be golden

Transcription

1 Mining yur water quality data can be glden Jhn Civardi, PE Vice President Mtt MacDnald Matthew Miller Directr, Treatment Aqua Pennsylvania Mtt MacDnald PA Sectin Annual Cnference May 9, 2018

2 T Much and T Little Data Nt everything that can be cunted cunts, and nt everything that cunts can be cunted. Crllary fr envirnmental mnitring Nt everything that can be measured is wrth measuring, and nt everything wrth measuring is measurable. 2

3 Data Analysis Truth Statement: When yu change the way yu lk at things the things yu lk at change Crllary fr water systems As we gather and analyze ur plant and distributin system water quality data system peratins may imprve. Water strage tanks sanitary survey Service line prfiles fr lead 3

4 Presentatin Outline Benefits f an Enhanced Distributin System Water Quality Mnitring Prgram Partnership fr Safe Water Relatinship t the earlier presentatin n smart infrastructure Relatinship t distributin system crrsin Relatinship f lead and cpper Aqua PA case study 4

5 Benefits f an Enhanced Distributin System Water Quality Mnitring Prgram A Mnitring Prgram may address: Internal crrsin f water mains that culd impact main breaks Maintaining an adequate chlrine residual in all parts f the distributin system Disclred water Disinfectin by-prducts Lead and cpper 5

6 Partnership fr Safe Water (PSW) Partnership fr Safe Water missin: T imprve the quality f drinking water delivered t custmers f cmmunity water systems by ptimizing peratins. 6

7 Partnership fr Safe Water (PSW) Disinfectant Residual (>95% f meas.) Free Chlrine: 0.20 and 4.0 mg/l Ttal Chlrine: 0.50 and 4.0 mg/l Chlrine Dixide: 0.20 and 0.80 mg/l N cnsecutive residual measurements utside target cncentratins at ptimized rutine sample lcatins Disinfectin by-prducts within regulatry requirements 7

8 PSW Relatinships Flushing Custmer Cmplaints Disinfectin: Mains, Repairs Water Age DBP Cmpliance Disinfectant Residual Strage Nitrificatin Internal Crrsin Cntrl Micr Cmpliance /Sampling Security Emergency Mgmt Pst Precipitatin Inrg Accum

9 Smart Infrastructure Statistical analysis Shewart cntrl charting Surce water mnitring Leveraging SCADA t prvide intelligence 9

10 Distributin System Crrsin Irn Crrsin Scale Develpment & Prperties Micrbial Activity Irn Release Water Quality Hydraulics

11 Lead Cncentratin (ppb) Lead and Cpper In-Huse Lead Service Line Main Ttal Lead Filtered Lead Irn Release Sample #

12 Lead and Cpper (cntinued) Distributin system data Lead and cpper rule sampling des nt tell entire stry 12

13 Optimizatin Statement Understanding distributin system data Large system & wealth f distributin system data valuable infrmatin may be unutilized Data review practices tend t be fragmented amng prgrams and management areas Cmprehensive review by utility staff is difficult New state regulatins expected t redefine disinfectant residual requirements 13

14 Case Study 1. Prblem statement / bjective 2. System verview Aqua PA s Main Divisin dist. system 3. Data mining Infrmatin cllected 4. Observatins and pssible explanatins fr disinfectin residual lss 7. Findings and system imprvements made t date 6. Develp data visualizatin tls / establish review prcesses 5. Data gaps, preliminary recmmendatins and initiatives 14

15 Main System Case Study Matthew Miller

16 System verview Large distributin netwrk f Aqua PA s Main Divisin: 16

17 System verview Large distributin netwrk f Aqua PA s Main Divisin: Serving apprximately 300,000 cnnectins Surface water treatment plants Miles f pipes Water strage tanks Pressure znes 27 Active Wells 17

18 Objective: Data management apprach Synthesize available data Develp easily accessible and cmprehensible infrmatin tls Generally imprve distributin system understanding Facilitate best practices fr chlramine residual maintenance 18

19 Data mining Infrmatin cllected: Histrical Water quality data Plant labratry data Sampling results frm reginal surveys Chlramine stability study results Facilities, prductin, and distributin system hydraulic mdeling infrmatin SCADA data fr strage tanks and wells: Tank levels Well flws Online Cl 2 GIS tls and data 19 19

20 Data mining Infrmatin cllected: Distributin system mnitring site shws a seasnal pattern f chlrine residual lss 20

21 Data mining Infrmatin cllected: Percent f samples with free chlrine levels greater than a given value 21

22 Data mining Infrmatin cllected: Simultaneus existence f free and cmbined chlrine at a sampling site may indicate blending and/r chlramine decmpsitin reactins in prgress 22

23 Data mining Infrmatin cllected: Reprt Card water quality data # samples with ttal chlrine less than 0.2 mg/l # samples with free chlrine less than 0.2 mg/l # samples with nitrite detected (>0.05 mg/l) 23

24 Data mining Infrmatin cllected: Reprt Card (multiple lcatins): # f lcatins with lw chlrine (entire year) DBP Data - # f samples ver limit 24

25 Data mining Types f data cllected: GIS Map Ttal Chlrine Sample value range indicated by clr 25

26 Data mining Infrmatin cllected: GIS Data by lcatin Histric chlrine residual 26

27 Data mining Infrmatin cllected: GIS Data by lcatin TTHM results 27

28 Data mining Infrmatin cllected: GIS Data by lcatin HAA5 results 28

29 Data gaps, preliminary recmmendatins, and initiatives Better understand surce paths and pssible blending znes in the DS. Reslve tank sampling challenges and identify upstream/dwnstream cntrl sites. Identify and priritize prblem areas fr further analysis and/r peratins. 29

30 Data gaps, preliminary recmmendatins, and initiatives Perfrm mre systematic nitrite sampling. The reprting limit fr nitrificatin mnitring data shuld be 10x lwer than fr nitrite/nitrate cmpliance. Operate with finished water ph 7.5 r higher fr chlramine stability. 30

31 Data gaps, preliminary recmmendatins, and initiatives Ensure gd mixing fr mnchlramine frmatin. Limit finished water free ammnia t 0.1 mg/l N (Cl2:N rati 4.5-5). Cautin: D NOT raise finished water ttal chlrine targets in an effrt t cmbat nitrificatin prblems until AFTER nitrificatin is cntrlled. 31

32 Data gaps, preliminary recmmendatins, and initiatives Cnvert wells t cmbined chlrine and better islate free chlrine znes. Bsting with free chlrine t tie up free ammnia at tank influents may be a useful tl fr tank management. 32

33 DBPs Cl 2 Cl 2 Cl 2 Cl 2 Cl 2 33

34 Develp data visualizatin tls and establish review prcess rutines Bx and whisker plts describe whle data distributins t facilitate cmparing their features between lcatins r time perids fr a single parameter Heat map plts reduce water quality data fr each lcatin within a chsen time perid int a clr-cded tile, prviding an verall schematic map f system cnditins ver space and time that shws prgressins, ht spts, and data gaps Autmated tank sampling data interpretatin used fr tanks with cmmn inlet/utlet. Analysis f tank elevatin recrds and sample cllectin times was autmated t assign a Tank (tank in drain mde) r Distributin (tank in fill mde) tag t each sample t imprve the data value. 34

35 Develp visualizatin tls Annual heat map plts fr 2015 and 2016 shw weekly ttal chlrine results in ne regin befre and after chlrine dixide additin at the treatment plant was implemented. 35

36 Develp visualizatin tls Annual heat map plts fr 2015 and 2016 shw weekly ttal chlrine results in ne regin befre and after chlrine dixide additin at the treatment plant was implemented. 36

37 Develp data visualizatin tls and establish review prcess rutines Histric time series Cl 2 residual trend plts synthesize and update histric data trends and are anntated with critical lcatin attributes fr rapid infrmatin retrieval. The files are linked t site pints in the GIS. Histric time series multiparameter trend plts shw data that ften allws the user t quickly discriminate amng supply surce influences accrding t ph and anin levels (fluride, sulfate, chlride, nitrate). Annual nitrificatin multiparameter time series trend plts (chlrine, free ammnia, nitrite, ATP, and HPC) are updated weekly and facilitate bservatin f related trends amng chlrine, ammnia, nitrite and bilgical signals that are critical fr early nitrificatin detectin. 37

38 Develp visualizatin tls Nitrificatin multiparameter time series trend plt helps in early nitrificatin detectin 38

39 Develp visualizatin tls Histric multiparameter trend plt allws quick identificatin f surce water 39

40 Develp visualizatin tls Histric multiparameter trend plt allws quick identificatin f surce water 40

41 Findings and system imprvements made t date: Systemic adjustments such as raising the entry pint chlramine residual and ph, and lwering entry pint free ammnia, have imprved verall chlramine residual health. Additinal imprvements t distributin system chlramine residual health have resulted frm targeted respnses in prblem areas (e.g., eliminating blending, imprving tank mixing, and flushing hydrants). Graphical data presentatins accessible in the GIS and refreshed autmatically help staff better understand the verall picture f the distributin system. Synthesizing infrmatin frm many surces, these tls help infrm peratinal decisins and supprt further system ptimizatin. 41

42 Acknwledgements Aqua Pennsylvania Charles Hertz Carlyn Hathaway Frank Grablutz Mtt MacDnald Mike Pickel Jasn Marie Oblensky Cnsulting Alexa Oblensky 42