CREATING USACE SPATIAL DATA STANDARDS-COMPLIANT GEODATABASES FOR STORAGE AND RETRIEVAL OF SPATIALLY REFERENCED DREDGE MATERIAL ANALYTICAL RESULTS
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1 CREATING USACE SPATIAL DATA STANDARDS-COMPLIANT GEODATABASES FOR STORAGE AND RETRIEVAL OF SPATIALLY REFERENCED DREDGE MATERIAL ANALYTICAL RESULTS Christine Smith 1, Nadia Lombardero 2, and Philip M. Wolf 3 ABSTRACT Section 103 of the Marine Protection, Research and Sanctuaries Act of 1972 (MPRSA) regulates the transportation and placement of dredged material in designated offshore disposal sites. In accordance with MPRSA, a permit must be issued by the U.S. Army Corps of Engineers (USACE) with concurrence from the U.S. Environmental Protection Agency (EPA) prior to transport and disposal of dredged material. The permit requires sediment and water quality sampling and analysis to determine the suitability of the dredged material for placement in an offshore disposal site. Representative sediment samples are analyzed for chemical, physical, and toxicological parameters. These parameters are determined prior to sampling and depend on historical conditions and location. Laboratory results are often contained in large spreadsheets and submitted with a technical report as part of the permitting process. To optimize coordination between agencies, contractors, and other participating entities, the resulting data are required to be migrated to a USACE Spatial Data Standards for Facilities, Infrastructure, and Environment (SDSFIE) - compliant Geodatabase. The SDSFIE serves as the U.S. Department of Defense (DoD) spatial data standard and provides the schema for a comprehensive spatial data warehouse. The SDSFIE s relational database structure enables powerful querying, cataloging, and reporting and will serve as a useful tool for future permitting. The data can be readily accessed, populated, and compared with new data (spatial and tabular), as well as existing data not yet associated with such projects. This paper discusses the general process of bringing the data into compliance, from sample collection to permit application submittal. Keywords: Dredging, GIS, SDSFIE. INTRODUCTION Extensive analysis of dredged material yield large quantities of data which are subsequently reviewed by contractors and agencies as part of the disposal permitting process. Agency coordination and data sharing are essential to the permitting process (Figure 1). Historically, these data were tied to spatial coordinates in sample name only and did not necessarily follow any standardized format. Today, all federal submittals are required to adhere to the SDSFIE. Laboratory test results and GPS data collected by the sampling team are combined into a geodatabase containing the sample station coordinates and analytical results. Development of the SDSFIE (formerly called the Tri-Service Spatial Data Standards or TSSDS) began in 1993 and arose from the DoD digitization of base comprehensive planning and facilities management, as well as Civil Works activities. As the transition from manual to digital methods for mapping, planning, and other management activities progressed, each DoD branch of service developed its own set of procedures using a variety of digital systems. The SDSFIE are intended to provide standardization and coordination within the DoD for these types of GIS applications. The majority of SDSFIE GIS implementations use industry standard Windows-based GIS software 1 GIS Analyst 2, ANAMAR Environmental Consulting, Inc., 2106 NW 67th Place Ste 5, Gainesville, FL 32653, USA, T: (352) , F: (352) , csmith@anamarinc.com 2 President, ANAMAR Environmental Consulting, Inc., 2106 NW 67 th Place Ste 5, Gainesville, FL 32653, USA, T: (352) , F: (352) , nlombardero@anamarinc.com 3 U.S. Army Corps of Engineers - Charleston District, 69-A Hagood Avenue, Charleston, SC T: (843) , Philip.M.Wolf@sac.usace.army.mil 399
2 packages (e.g., ESRI ArcGIS, Intergraph GeoMedia, AutoDesk Map, Intergraph MGE, and Bentley GeoGraphics) (ERDC 2005). Figure 1. Diagram of SDSFIE data sharing relationships. The SDSFIE were developed to coordinate and standardize DoD spatial data. This structure allows for an enterprise-level relational database management system (RDBMS) to house the data, enabling wide usage between departments, agencies, and branches of service. Its GIS structure allows for quick storage and retrieval of large datasets which can be simultaneously mapped and queried. In addition, the RDBMS structure allows for the relation of tabular data from other projects, enabling cross-review analysis of results while maintaining database performance. Dredged material test results in the SDSFIE can be mapped and analyzed at various scales, along with previous results, neighboring data, and/or overlain with other GIS datasets (bathymetry, nautical charts, aerial imagery) for efficient decision-making and data sharing. SDSFIE-compliant geodatabases are created using a suite of tools available for download, which the user can use to automatically generate geodatabases containing a spatial data layer and an associated Access database with full GIS and database capability. The user can search from a predetermined list of entity sets, classes, and types, as well as relatable tables and domains which can then be populated with the source data. In this case, sampling locations are used to populate the spatial datasets, and results of sediment analysis used to populate the Access database. SDSFIE DESCRIPTION The SDSFIE were developed as a set of graphic and non-graphic standards for GIS and Facility Management (FM) implementations at Air Force, Navy, and Marine Corps installations; USACE Civil Works activities; and other government organizations. The SDSFIE provides a standardized grouping of geospatial features (objects depicted graphically on a map at their real-world coordinates). Each geospatial feature has an associated attribute table containing pertinent data about the feature (ERDC 2005). The SDSFIE has evolved into the standard GIS data model for the DoD and is widely used in other federal, state, and local government organizations, as well as in private industry and utilities globally (ERDC 2005). This is due in part to its non-proprietary status and its cross-platform and software compatibility. The SDSFIE can be operated on the Unix and Windows platforms and can run with most major GIS and CADD packages. Its architecture is suited to model the physical world and infrastructure through an exhaustive and evolving list of features and attributes. The SDSFIE tool suite is available online ( and consists of the Browser, Geodatabase Builder, and Filter tools. The Browser allows users to search the SDSFIE hierarchy or data model for features and tables for data loading. Figure 2 depicts this data model. Figure 3 shows the Browser graphical user interface. The Geodatabase Builder is then used to generate a geodatabase a spatial data layer with an associated Microsoft Access database containing the layer s attribute data. The geodatabase can then be used in individual projects and/or loaded into an enterprise RDBMS. The Filter tool creates a subset of SDSFIE entities to choose from, while excluding non- 400
3 relevant entities, tables, and domains from the list of available choices. This subset is tailored to the user s needs (e.g., sediment sampling). Figure 2. SDSFIE data model organization (SDSFIE 2007). Figure 3. SDSFIE Browser user interface. 401
4 SEDIMENT TESTING Section 103 of the MPRSA, Public Law , specifies that all proposed operations involving the transportation and dumping of dredged material into ocean waters must be evaluated to determine the potential environmental impact of such activities (EPA and USACE 1991). USACE and USEPA share the federal responsibility for regulating the discharge of dredged material into waters of the United States (Lombardero et al. 2006). The level of testing required for ocean disposal of dredged material is project-specific. Prior to sampling, a tieredsystem approach is used to determine testing parameters through consultation with coordinating agencies and contractors. Historical conditions and geographic location contribute to the level of testing that is ultimately mandated. These testing parameters include, but are not limited to, metals, organotins, polychlorinated biphenyl (PCB) congeners, PCB aroclors, polynuclear aromatic hydrocarbons (PAHs), dioxins/furans, physical properties, and tissue bioaccumulation potential. Sampling stations are located within the dredge prism and are selected to sufficiently characterize the entire project area. For maintenance dredging, sampling is conducted in areas where bathymetry studies reveal that shoaling has occurred. Since these shoals will yield the majority of the dredged material, sampling will generally be more concentrated in these areas. In addition, a reference sample is collected offshore for comparison purposes. Sediment samples are delivered to multiple laboratories for extensive analysis. Detailed records are kept regarding the condition of the delivered samples, testing environment, detection limits, methodologies, instrument calibration, and analytical results. A comprehensive spreadsheet is then generated containing the entire resulting dataset. GEODATABASE CREATION Figure 4 depicts the general workflow of SDSFIE geodatabase generation. GPS data collected at the sampling stations and the spreadsheet containing analytical results are the fundamental elements used to build the SDSFIEcompliant geodatabase. The data are sorted by sampling station then migrated using the SDSFIE tool suite to generate the geodatabase. The geodatabase will contain the feature class (spatial data layer) and tables (associated attributes, including lab results and sampling information). Figure 4. Diagram of SDSFIE data generation workflow. The SDSFIE Toolbox provides capabilities spanning multiple facets including model browsing, database creation, data migration, metadata creation, and compliancy evaluation. The SDSFIE describes an 8-step procedure of data migration to bring data into compliance (SDSFIE 2007): 1. Identify Data. Analyze existing data and determine what will be loaded. 402
5 2. Search with the SDSFIE Browser. Use the Browser to identify which entity types match the source data. 3. Correlate Existing Data. Correlate existing data to SDSFIE features. 4. Develop a Filter. Use a filter to limit search to relevant features only. 5. Establish a Spatial Reference. Designate coordinate system, spatial domain, and precision. 6. Create an SDSFIE Geodatabase. Use the Geodatabase Builder to connect and read an existing database for loading or create a new geodatabase. 7. Migrate Data. Use the Data Loader to migrate spatial and attribute data into the SDSFIE. 8. Check for Compliance and Create Metadata. The SDSFIE Checker connects to an existing geodatabase (personal or SDE) and reads its contents to determine the compliance of the geodatabase with the SDSFIE. (SDSFIE 2007). It the geodatabase is found to be compliant, metadata is created. In the case of sediment sampling, these steps would be initiated upon receipt of lab data results. Step 1 consists of sorting the spreadsheet by sampling station and creating.dbf files of necessary records and creating a shapefile of sampling locations. Step 2 requires the Browser to determine which features and tables most closely match the source data. For sediment testing, an appropriate feature for spatial data loading is found under the entity set environmental_hazards, entity class env_haz_characterization, entity type field_sample_collection_location_point. Attribute data are spread over two tables: env_field_sample_occurrence and env_fld_samp_analytical_result. Both are found under the environmental_hazards entity set. In Step 3, the lab data database files and GPS shapefile are compared with the features and tables derived in Step 2. Corresponding field names are matched between source data and SDSFIE data fields. It may save time to rename fields in the source data to SDSFIE names to expedite the loading process, since the Data Loader will then automatically recognize these fields and match them appropriately. This is useful as the SDSFIE field names are not always intuitive. For example, the SDSFIE field name for qualifier code is vq_conf_d. It is therefore beneficial to rename these fields prior to loading. Step 4 is optional. Filters can help to narrow a search for appropriate tables and fields. However, for loading sediment analytical results, the user will generally use the same features and tables for each project. Step 5 involves spatial reference information for the dataset. This may be project-specific and stated in the projectspecific Scope of Work. If a specific spatial reference is not requested, use the spatial reference most appropriate for the project s location. To save time, the geodatabase can also adopt the spatial reference and extent of the GPS shapefile that is loaded. The actual SDSFIE geodatabase is created in Step 6 using the Geodatabase Builder. At this point, the user has already selected which features and tables will contain the GPS and lab analytical data with the Browser. The Builder is the simplest way to create an enterprise level or personal geodatabase containing SDSFIE-compliant entities and tables. In Step 7, the newly created geodatabase is populated using the Data Loader. The Loader expedites and facilitates SDSFIE populating. The application takes into consideration geometry, projection, field/attribute, value, and constant constraints necessary for SDSFIE compliancy. Finally, in Step 8 the SDSFIE Checker connects to an existing geodatabase (personal or SDE) and reads its contents to determine compliance of the geodatabase to the SDSFIE. Verifying the level of SDSFIE compliance of a geodatabase can be done either using a Web-based geodatabase checker, or the SDSFIE Geodatabase Builder/Checker. If the data are found to be compliant, metadata files are created to describe the geodatabase contents. Once the SDSFIE Geodatabase is created, it can be used to store, map, and spatially analyze the data. Figures 5 and 6 illustrate an SDSFIE geodatabase in use during an ArcGIS session, displaying a mapped sampling location overlaying a nautical chart and the tabular data associated with the sample. In Figure 6, analytical results are shown for specific analytes tested for in the sediment collected at the site shown in Figure
6 Figure 5. SDSFIE-compliant data in use with ArcGIS. Figure 6. ArcGIS attribute table showing example SDSFIE-compliant fields. CONCLUSIONS The SDSFIE is a method of structuring spatial and tabular data to model the real world. As such, it is necessary to maintain a dynamic outlook as changes and developments occur in the environment, facilities, and infrastructure. SDSFIE use within the dredging community is expected to increase as a result of USACE compliance requirements for permitting. To facilitate compliance, coordination, and standardization, the SDSFIE provides for input and recommendations from users. User input will be essential to improving and evolving the data model as changes in dredge material testing occur. 404
7 REFERENCES Lombardero, N., Smith, C.T., and Steen, C.M. (2006). Updates in environmental permitting requirements for disposal of dredged material. WEDA Proceedings of the Eighteenth World Dredging Congress (WODCON XVIII), May 27-June 1, 2007, Lake Buena Vista, Florida. SDSFIE (2007). Understanding the SDSFIE. Training literature. U.S. Army Engineer Research and Development Center (2005). Spatial Data Standards for Facilities, Infrastructure, and Environment: History of Development and Benefits. USEPA/USACE (2001). Evaluation of Dredged Material Proposed for Ocean Disposal Testing Manual. (The Green Book). EPA 503/ Office of Water, Washington, D.C. (4504F)
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