Water quality regulations are always expanding especially in the field of water quality monitoring; however, threats to our water distribution systems still remain. Components of water distribution systems are susceptible to intentional and accidental contamination; therefore, they represent highly vulnerable aspects of our vital infrastructure.
An analysis was performed on a city in California with a population of 30,000 to 40,000 residents. The analysis is performed to determine the optimal locations of monitoring stations throughout the water distribution system. The method presented by Liu and colleagues (Liu et al, 2012) selects the optimal monitoring locations for the virtual California city using the Demand Coverage Index (DCI) method. In order to study small scale systems which are typically more vulnerable to tampering, the method attempts to use the virtual city to show the effectiveness of the DCI method and how it can be implemented on smaller water distribution systems (WDS).
The analysis results lay out a number of monitoring stations that should be used to prevent a large scale contamination event from occurring. The number of monitoring stations will vary depending on funding for water infrastructure and coverage requirements. The results represent an outline for improving the effectiveness of the monitoring capabilities in the WDS. The monitoring stations increase the resilience of the WDS from potential terrorist sabotage and mitigate potential outbreaks due to microorganisms, pipeline leaks, or hazardous chemicals entering the WDS.
","abstract_html":"<p>Water quality regulations are always expanding especially in the field of water quality monitoring; however, threats to our water distribution systems still remain. Components of water distribution systems are susceptible to intentional and accidental contamination; therefore, they represent highly vulnerable aspects of our vital infrastructure.</p> <p>An analysis was performed on a city in California with a population of 30,000 to 40,000 residents. The analysis is performed to determine the optimal locations of monitoring stations throughout the water distribution system. The method presented by Liu and colleagues (Liu et al, 2012) selects the optimal monitoring locations for the virtual California city using the Demand Coverage Index (DCI) method. In order to study small scale systems which are typically more vulnerable to tampering, the method attempts to use the virtual city to show the effectiveness of the DCI method and how it can be implemented on smaller water distribution systems (WDS).</p> <p>The analysis results lay out a number of monitoring stations that should be used to prevent a large scale contamination event from occurring. The number of monitoring stations will vary depending on funding for water infrastructure and coverage requirements. The results represent an outline for improving the effectiveness of the monitoring capabilities in the WDS. The monitoring stations increase the resilience of the WDS from potential terrorist sabotage and mitigate potential outbreaks due to microorganisms, pipeline leaks, or hazardous chemicals entering the WDS.</p>","abstract_has_math":false,"creators":["Brake, Jeffrey Scott"],"institution":null,"degree_name":"MS in Civil and Environmental Engineering","degree_level":null,"degree_discipline":"Civil and Environmental Engineering","degree_department":null,"school":null,"contributors":["Shikha Rahman"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-06-01T07:00:00Z","date_published":"2015-06-01T07:00:00Z","updated_at":"2026-07-24T01:31:35Z","subjects":["demand coverage index monitoring stations optimal","Civil Engineering","Environmental Engineering","Hydraulic Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["10.15368/theses.2015.78"],"render_values":[{"text":"10.15368/theses.2015.78","href":"https://doi.org/10.15368/theses.2015.78","code":true}]}]},"links":{"outbound_url":"https://digitalcommons.calpoly.edu/theses/1421","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Shikha Rahman"]},{"key":"dc:creator","label":"Author","values":["Brake, Jeffrey Scott"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2016-06-11T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Civil and Environmental Engineering"]},{"key":"thesis:degree_name","label":"Degree Name","values":["MS in Civil and Environmental Engineering"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["demand coverage index monitoring stations optimal","Civil Engineering","Environmental Engineering","Hydraulic Engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalcommons.calpoly.edu/theses/1421","10.15368/theses.2015.78"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Water quality regulations are always expanding especially in the field of water quality monitoring; however, threats to our water distribution systems still remain. Components of water distribution systems are susceptible to intentional and accidental contamination; therefore, they represent highly vulnerable aspects of our vital infrastructure.
An analysis was performed on a city in California with a population of 30,000 to 40,000 residents. The analysis is performed to determine the optimal locations of monitoring stations throughout the water distribution system. The method presented by Liu and colleagues (Liu et al, 2012) selects the optimal monitoring locations for the virtual California city using the Demand Coverage Index (DCI) method. In order to study small scale systems which are typically more vulnerable to tampering, the method attempts to use the virtual city to show the effectiveness of the DCI method and how it can be implemented on smaller water distribution systems (WDS).
The analysis results lay out a number of monitoring stations that should be used to prevent a large scale contamination event from occurring. The number of monitoring stations will vary depending on funding for water infrastructure and coverage requirements. The results represent an outline for improving the effectiveness of the monitoring capabilities in the WDS. The monitoring stations increase the resilience of the WDS from potential terrorist sabotage and mitigate potential outbreaks due to microorganisms, pipeline leaks, or hazardous chemicals entering the WDS.
"]},{"key":"dc:title","label":"Title","values":["Locating Optimal Water Quality Monitoring Locations Using Demand Coverage Index Method"]}]}],"canonical_facts":{"dc:contributor":["Shikha Rahman"],"dc:creator":["Brake, Jeffrey Scott"],"dc:date.available":["2016-06-11T07:00:00Z"],"dc:description.abstract":["Water quality regulations are always expanding especially in the field of water quality monitoring; however, threats to our water distribution systems still remain. Components of water distribution systems are susceptible to intentional and accidental contamination; therefore, they represent highly vulnerable aspects of our vital infrastructure.
An analysis was performed on a city in California with a population of 30,000 to 40,000 residents. The analysis is performed to determine the optimal locations of monitoring stations throughout the water distribution system. The method presented by Liu and colleagues (Liu et al, 2012) selects the optimal monitoring locations for the virtual California city using the Demand Coverage Index (DCI) method. In order to study small scale systems which are typically more vulnerable to tampering, the method attempts to use the virtual city to show the effectiveness of the DCI method and how it can be implemented on smaller water distribution systems (WDS).
The analysis results lay out a number of monitoring stations that should be used to prevent a large scale contamination event from occurring. The number of monitoring stations will vary depending on funding for water infrastructure and coverage requirements. The results represent an outline for improving the effectiveness of the monitoring capabilities in the WDS. The monitoring stations increase the resilience of the WDS from potential terrorist sabotage and mitigate potential outbreaks due to microorganisms, pipeline leaks, or hazardous chemicals entering the WDS.
"],"dc:identifier":["https://digitalcommons.calpoly.edu/theses/1421","10.15368/theses.2015.78"],"dc:subject":["demand coverage index monitoring stations optimal","Civil Engineering","Environmental Engineering","Hydraulic Engineering"],"dc:title":["Locating Optimal Water Quality Monitoring Locations Using Demand Coverage Index Method"],"thesis:degree_discipline":["Civil and Environmental Engineering"],"thesis:degree_name":["MS in Civil and Environmental Engineering"]},"updated_at":"2026-07-24T01:31:35Z"}