The NJ 1 system is based on the Dover Township, NJ Distribution system and was originally used by Maslia et al. in 2000 as part of an epidemiological study. The system has a total demand of 7.7 MGD, eight tanks, 12 pumps, and 483 miles of pipe. It is classified as distribution sparse-grid by Hwang & Lansey (2017) and looped by Hoagland et al. (2015).https://uknowledge.uky.edu/wdst_us/1004/thumbnail.jp

Maslia, Morris

University of Kentucky

SYSTEM ID: NJ1NARRATIVE DESCRIPTIONThe NJ1 system is based on the Dover Township, NJ water distribution system. Thesystem has an average demand of 7.7 MGD. The network was developed as part of anepidemiological study in the area by Maslia et al. (2000). A general schematic of thesystem is shown below. The system has eight tanks, twelve pumps, and 483 miles ofpipe.NETWORK SCHEMATIC:Water Distribution System DatabasePage 1HISTORY OF THE NETWORK FILEThe NJ1 system was originally used by Maslia et al. (2000) as part of an article “UsingWater-Distribution System Modeling to Assist Epidemiologic Investigations” which waspublished in 2000 in the Journal of Water Resources Planning & Management. Itreported on a study between 1979 and 1996 and explored the risk factors ofenvironmental exposure for leukemia and nervous system cancers.ORIGINAL REFERENCE:Maslia, M.L., Sautner, J.B., Aral, M.M., Reyes, J.J., Abraham, J.E. and Williams, R.C.,2000. Using water-distribution system modeling to assist epidemiologicinvestigations. Journal of Water Resources Planning and Management, 126(4),pp.180-198.ABSTRACT: An epidemiologic study of childhood leukemia and central nervous systemcancers that occurred in the period 1979 through 1996 in Dover Township, N.J., is beingconducted. Because groundwater contamination has been documented historically inpublic- and private-supply wells, there is the possibility of exposure through thispathway. The Dover Township area has been primarily served by a public water supplythat relies solely on groundwater; therefore, a protocol has been developed for using awater-distribution model such as EPANET as a tool to assist the exposure assessmentcomponent of epidemiologic investigation. The model is being used to investigate thequestion of human exposure to groundwater contaminants. Because of theunavailability of historical data, the model was calibrated to the present-day (1998)water-distribution system characteristics. Pressure data were gathered simultaneouslyat 25 hydrants throughout the distribution system using continuous recording pressuredata loggers during 48 h tests in March and August 1998. Data for storage tank waterlevels, system demand, and pump and well status (on/off) were also obtained. Fielddata gathering procedures, calibration results, and water-quality simulation using anaturally occurring element (barium), as well as an analysis indicating the percent ofwater originating from points of entry to the water-distribution system for 1998conditions, are presented.ADDITIONAL CITATIONS:The original publication of Maslia et al. (2000) and by inference the NJ1 system hasbeen cited by 52 additional authors. These may be accessed by moving your cursorover the following link while simultaneously depressing the CTRL key on your keyboard:52 Citations.Water Distribution System DatabasePage 2AVAILABLE INFORMATIONPhysical attributes YesSchematic diagram YesNetwork geometry data YesGIS data file NoBackground map NoElevation data YesPipe data YesPipe material YesPipe age YesPipe pressure class NoNominal or actual diameters NominalPump data YesUseful horsepower NoPump operating curves YesTank data YesElevation data YesStage storage curves NoWater quality information NoValve data NAPRV/FCV dataIsolation valve dataHydrant dataDemand data YesTotal system demand NoNodal demand data YesTemporal data demands YesSystem leakage NoHydraulic data NoHydraulically calibrated modelField hydraulic calibration dataWater quality data NoDisinfection methodChlorine residual dataBooster station dataFluoride/Chloride field dataWater quality calibrated modelOperational data YesSCADA datasetsOperational rulesWater Distribution System DatabasePage 3SYSTEM CLASSIFICATION:PIPE/LOOP HISTOGRAM:Hoagland et al. (2015) designed a network classification algorithm for use in classifyingwater distribution systems as either “branched,” “looped,” or “gridded” based on theobserved frequency of network loops with different numbers of distinct pipe segments.The frequency distribution for the NJ1 system is provided below.  Using this information,Hoagland et al., classified this system as being a LOOPED system.# Total Pipes: 16090# Branch Pipes: 4677Ratio (Branch Pipes / Total Pipes): 0.29Water Distribution System DatabasePage 4Figure 3.4. Classification Algorithm (Hoagland et al., 2015)Hoagland, Steven & Schal, Stacey & Ormsbee, Lindell & Bryson, Lindsey. (2015).Classification of Water Distribution Systems for Research Applications. 696-702.10.1061/9780784479162.064.NETWORK STRUCTURE METRICS:Building on the work of Hoagland et al., (2015), Hwang & Lansey (2017) created anexpanded classification system that allows for further classification of a system as beingeither a transmission or distribution branched, looped, gridded, or hybrid system. Theiralgorithm streamlines the classification system by removing unnecessary nodes that donot contribute to the structure of the system while still retaining their use as intermediatepoints for demand data entry.  A full description of the algorithm can be found in thecited reference.Water Distribution System DatabasePage 5Application of the Hwang and Lansey classification algorithm to the system yields thefollowing statics and associated classification:Parameter ValueEdges 16078Pipes 16066Nodes 14999Average Diameter 8.1Reduced Nodes 10708Reduced Edges 11787Branched Edges 4291Branched Index 0.3Meshed Connectedness 0.1Reduced Meshed Connectedness 0.16Link Density 0Average Node Degree 2.2Hwang & Lansey Classification Distribution Sparse-GridFigure 7. Water Distribution System Classification Flowchart (Hwang & Lansey, 2017)Hwang H. & Lansey, K. (2015) “Water distribution system classification using systemcharacteristics and graph theory metrics.” Journal of water resource planning andmanagement 143(12) https://doi.org/10.1061/(ASCE)WR.1943-5452.0000850Water Distribution System DatabasePage 6DETAILED DATA SUMMARIESPHYSICAL ASSETS:Asset Type: # of AssetsMaster Meters 0Tanks 8Pumps 12Water Sources 0NETWORK CHARACTERISTICS:# Total Pipes: 16090# Junctions 14991# Reservoirs 0# Tanks 8# Regulating Valves 0# Isolation Values Unknown# Hydrants UnknownElevation Data YESPIPE DATA:Diameter (in) Length (ft)2 61,2934 76,7416 807,9958 938,21410 10,20612 622,17116 32,842PUMP DATA:Pump Horsepower NOPump Curves: YESWater Distribution System DatabasePage 7DATA FILE ATTRIBUTES:ATTRIBUTE UNITSPipe Length & Diameter X Feet & inchesPipe AgeNode Elevation X FeetNode Demand X GPMValvesHydrantsTank Levels X FeetTank VolumePRVsWTPWTP CapacityPump DataWater Distribution System DatabasePage 8

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