GIS Critical Pipe Analysis. Presented by: Marikka Williams, MSc, GISP

Transcription

1 GIS Critical Pipe Analysis Presented by: Marikka Williams, MSc, GISP

2 Organization Overview GHD Inc Engineering Consulting Markham, Ontario ~300 (local) ~7000 (global) Esri users since 1995

3 Project Description GIS based critical pipe analysis Leverage existing GIS data and resources Risk Protect Maintain Rehabilitate Replace Define water pipe criticality Collaboratively establish a risk framework Develop a geo-processing model Evaluate and summarize results Support informed decision-making for prioritization Proactive approach to preventative maintenance

4 Collaborative Approach City of Markham - Waterworks Operations and Maintenance Infrastructure Project Engineering System Engineering Information Management Systems GHD - Industry Specialists Risk Assessment Water Operations Hydraulic Modeling GIS services

5 Defining Critical Pipes Service Level Objectives Community expectations Social Impact Sensitive social infrastructure Infrastructure Impact Major links Service Delivery Impact Hydraulic Criticality Environmental Impact Degradation of protected areas

6 Risk Framework Risk Framework Risk = L V R C Likelihood Potential threats to the system Vulnerability Potential weaknesses Resilience Ability to withstand failure Consequence Potential Impact of failure

7 Potential Threats Pipe Attributes Design Construction Third Party Damage Human Operations Unstable Environment Natural Disaster

8 Non-Spatial Vulnerabilities Age Material Manufacturer Contractor Support Mechanisms Lining or Bedding Cathodic Protection Depth SOPs

9 Spatial Vulnerabilities Hydraulic Criticality Contamination Source Points Water Resources Transportation Corridors Underground Utilities Unstable Environments Soil Composition Environmental Protection Area Sensitive Populations

10 Location Based Consequence Health and Safety Service Demand Quality of Service Reputation Financial Impact 3rd Party Claims/Litigation/Fines Environment

11 Location Based Resilience Hydraulic Criticality Assessing existence of alternative pathways Evaluating if pipe is critical to delivery of water service Detectability Assessing character of the landscape Evaluating detectability of pipe in relation to landscape Resilience Ability to deliver water service with minimal disruption

12 Decision Mapping Collaborative Workshops GIS Defining Threats Defining Likelihood Defining Consequence Defining Resilience Defining Vulnerability Translating to GIS Mapping the Outcome Internal Probability of Threat Occurring Social Impact Hydraulic Spatial Location Spatial Queries Results Summary External Environment Impact Detectability Pipe Attribution Attribute Queries Infrastructure Impact Model Development

13 Decision Mapping GIS Water Pipe Segment Water Pipe Age Critical Customers Road Railway Watercourses Parks Distribution Fuel Storage Landfills Floodplain Soil Type Land Use Pipe Material Protected Areas Hydraulic Model Consumption Historical Break VT24 VT01 VT02 VT03 VT04 VT05 VT06 VT07 VT08 VT09 VT10 VT12 VT13 VT14 VT15 VT16 VT17 VT18 VT19 VT20 VT21 VT22 VT23 VT11 LT01 LT02 LT03 LT04 LT05 LT06 LT07 LT08 LT09 LT10 LT12 LT13 LT14 LT15 LT16 LT17 LT18 LT19 LT20 LT21 LT22 LT23 LT24 LT11 CNSQ HC ENV KC CC INF RES HYD DET RS24 RS01 RS02 RS03 RS04 RS05 RS06 RS07 RS08 RS09 RS10 RS12 RS13 RS14 RS15 RS16 RS17 RS18 RS19 RS20 RS21 RS22 RS23 RS11 T24 T01 T02 T03 T04 T05 T06 T07 T08 T09 T10 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T11 Water Pipe Risk

14 Translating Decisions Descriptor Vulnerability Criteria Weigh t Rare Polyvinyl Chloride (PVC); Asbestos Concrete(AC) 10% Unlikely Relined (structurally lined) Ductile Iron (DI) pipe; Concrete Pressure Pipe (CPP) 25% Possible Ductile Iron (DI); Installed after 1992* 50% Likely Ductile Iron (DI); Installed before 1992* 75% Very Likely Workshop Output Cast Iron (CI); unprotected, unlined pipe *Ductile iron after 1992 has cathodic protection 100% Model Structure Model Parameters

15 Model Outputs

16 Model Outputs

17 Model Outputs Risk Category Segment Count Length (km) Maximum Risk Score Top 100 Consumers Critical Customers Key Infrastructure Hydraulic Criticality Extreme High Medium Low 7,

18 Model Outputs

19 System Environment Standard system hardware architecture GIS Modeling - ESRI ArcGIS ModelBuilder Hydraulic Modeling - Innovyze InfoWater Data Source City of Markham

20 Benefits Model decision processes with ModelBuilder Run complex spatial and attribute queries with GIS tools Perform calculations in GIS environment Iterate decision processes of 24 threats for 7,518 pipes Record, repeat and improve as system evolves Connect service level objectives to strategy Optimization of preventative maintenance Support decision-making processes Increased productivity

21 Lesson Learned What I would do differently Re-evaluate timeline Review draft results in interactive workshop Refine definitions following draft review Positive recommendations Think outside the box and inside model space Build multi-disciplinary teams Maximize the analytical capability of GIS Respond to business need with innovative solutions

22 Future Plans Increase understanding of business processes Relate business process to geographical context Leverage existing GIS data Develop new GIS data layers to facilitate analyses Collaborate to innovate GIS based solutions Improve business process with analytical power of GIS

23 Q & A THANK YOU Marikka.Williams@ghd.com