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Drainage information analysis and mapping system.
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    Final report.
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  • Abstract:
    The primary objective of this research is to develop a Drainage Information Analysis and Mapping System (DIAMS), with online inspection

    data submission, which will comply with the necessary requirements, mandated by both the Governmental Accounting Standards Board (GASB-34)

    and the federal storm water regulations. The DIAMS project will serve as a vehicle for evaluating underground drainage infrastructure assets which

    includes locating and cataloging pipes, storm-water devices (e.g., manufactured treatment devices), outfalls, and other structures, (e.g., manholes

    and catch basins), as well as, collecting inspection and rehabilitation/replacement/repair data. The DIAMS has an electronic documentation system

    that performs quality checks on the submitted inspection data and stores the approved data in a comprehensive information management system

    for updating, analysis, classification and mapping. The DIAMS utilizes a two layer front and back end management tool comprised of MS Access

    for data submission and SQL database for data storage that is accessed through a graphical user interface (GUI). The GUI is structured into four

    modules: Data Uploading, Asset Identification, System Administration, and Financial Analysis. The Data Uploading module includes the

    conversion of user input field data into comprehensive information format, review of input data, quality assurance and quality control checking, and

    appending the data to the system database. Users can locate assets needing immediate repair by road/milepost based upon their condition state.

    The Asset Identification module stores all the receiving storm water data such as the quality/quantity of water and discharge to watersheds, while

    also being able to develop general property reports. The module also gives users an assessed condition state, which allows them to select the best

    treatment technique. The System Administration module allows individual flexibility through editing keywords. The Financial Analysis module

    analyzes the selected data and provides optimal recommendations to inspect, rehabilitate, replace, repair or do nothing at both project and network

    levels. Financial analyses are derived from a sequential process including defining networks, confirming input data sets, and optimizing for budget

    allocation preferences. At the project level this is achieved by comparing inspection and/or rehabilitation/replacement/repair costs via an updatable

    user cost, currently based on the 2011 NJDOT Engineer’s Estimate – Maintenance Drainage Repair Contract, with risks and costs associated with

    failure. At the network level, the associated costs are optimized to meet annual maintenance budget allocations by prioritizing assets needing

    inspection and rehabilitation/replacement/repair. When all input data have been appended into the module, DIAMS can generate financial

    summaries and work orders.

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