Detecting contamination sources in liquid distribution systems

A non-transitory computer readable medium embodying computer executable instructions which when executed by a computer cause the computer to facilitate:

• receiving, at a sampling location recommendation module, conventional and complementary information regarding a liquid distribution system, wherein the complementary information includes at least one of a social media post or a consumer report;
• processing the complementary information and a map of the liquid distribution system in the sampling location recommendation module, using computational and artificial intelligence algorithms, to generate a list of locations for sampling the liquid distribution system;
• displaying the list of locations;
• receiving a geo-tagged test record indicative of a sampled contaminant concentration value of at least one location of the list of locations;
• processing the geo-tagged test record, at a contamination source mapping module, by locating the sampled contaminant concentration value on the map of the liquid distribution system by parsing sample coordinates from the geo-tagged test record, identifying sampled sections of the liquid distribution system based on a shortest path from a section nearest the sample coordinates, and using hydraulic modeling of the liquid distribution system and statistical methods to estimate a location and a risk of a contamination source in the liquid distribution system;
• and
• displaying the estimated location and risk of the contamination source by modifying a map of the liquid distribution system.

An apparatus comprising:

• a memory embodying computer executable instructions;
• and
• at least one processor, coupled to the memory, and operative by the computer executable instructions to facilitate:
• receiving, at a sampling location recommendation module, conventional and complementary information regarding a liquid distribution system, wherein the complementary information includes at least one of a social media post or a consumer report;
• processing the complementary information and a map of the liquid distribution system in the sampling location recommendation module, using computational and artificial intelligence algorithms, to generate a list of locations for sampling the liquid distribution system;
• displaying the list of locations;
• receiving a geo-tagged test record indicative of a sampled contaminant concentration value of at least one location of the list of locations;
• processing the geo-tagged test record, at a contamination source mapping module, by locating the sampled contaminant concentration value on the map of the liquid distribution system by parsing sample coordinates from the geo-tagged test record, identifying sampled sections of the liquid distribution system based on a shortest path from a section nearest the sample coordinates, and using hydraulic modeling of the liquid distribution system and statistical methods to estimate a location and a risk of a contamination source in the liquid distribution system;
• and
• displaying the estimated location and risk of the contamination source by modifying a map of the liquid distribution system.