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3 edition of Development of a prototype spatial information processing system for hydrologic research found in the catalog.

Development of a prototype spatial information processing system for hydrologic research

Development of a prototype spatial information processing system for hydrologic research

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  • 8 Currently reading

Published by National Aeronautics and Space Administration, National Technical Information Service, distributor in [Washington, DC, Springfield, Va.? .
Written in English

    Subjects:
  • Hydrology -- Research.,
  • Information storage and retrieval systems.

  • Edition Notes

    StatementJayanta K. Sircar.
    SeriesNASA-CR -- 190579., NASA contractor report -- NASA CR-190579.
    ContributionsUnited States. National Aeronautics and Space Administration.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL17786173M

    James Frew, Larry Carver, Christoph Fischer, Michael Goodchild, Mary Larsgaard, Terence Smith, and Qi Zheng () The Alexandria Rapid Prototype: building a digital library for spatial information. Proceedings, ESRI User Conference, Palm . Forest Service Research and Development: Strategic Vision for the Experimental Forests and Ranges Network. Number Name Station Region Land ownership/ managment State or territory Year established Acres. 66 Chipola EF SRS None Southern Research Station Florida 67 Coweeta Hydrologic Lab SRS 8 Nantahala-Pisgah NF North Carolina 5,


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Development of a prototype spatial information processing system for hydrologic research Download PDF EPUB FB2

Get this from a library. Development of a prototype spatial information processing system for hydrologic research. [Jayanta K Sircar; United States.

Using distributed hydrological models to evaluate the effectiveness of reducing non-point source pollution by applying best management practices (BMPs) is an important support to decision making for watershed management.

However, complex interfaces and time-consuming simulations of the models have largely hindered the applications of these models. We Cited by: In this paper, we present the High Throughput Computing Spatial Information Processing (HIT-SIP) System (Prototype), which is developed in Institute.

Abstract This paper presents a prototype software system for visualization and analysis of hydrologic data that provides interoperability between the Consortium of Universities for the Advancement.

2 CURRENT R&D PLANS IN NMD To date, the National Mapping Division has clearly concentrated on system- development aspects of an R&D program.

These development activities are designed to facilitate its role as a major federal information supplier, both in more efficient internal operation and in response to needs of the user commu- nities.

5 A Roadmap for Spatial Data Infrastructure Implementation. A well-designed spatial data infrastructure (SDI) for the U.S. Geological Survey (USGS) that is based on best practices and focused on the agency’s mission will have a high probability of success provided there is adequate planning and execution.

Planning and execution will need to entail both a broad. Penn State Integrated Hydrologic Model (PIHM) (Qu and Duffy,Kumar, ) is a physics-based, fully coupled, distributed hydrologic model that uses finite volume method (FVM) based discretization of the governing physical conservation equations and constitutive relationships on each control volume FVM based formulation in PIHM guarantees mass balance Cited by: SW Transmits report "Development and testing of highway storm-sewer flow measurement and recording system." SW Announces the development of the Ultrasonic Ranger by the Instrument Development Laboratory and recommends its use where stage gaging is difficult and accuracy requirements are lower.

Such information is essential for regional hydrologic analyses, water-budget analyses, hydrologic research and trends analysis, water-quality assessments, and ecological analyses.

This sections outlines the rationale and design for a national program of. Water Quality Monitoring System Design HYDROLOGIC INFORMATION SYSTEM (HIS) OVERVIEW Hydrology and the Water Cycle The water cycle, or hydrologic cycle, is the circulation of water through the atmosphere, land, ground, riverine network and oceans (Figure 1).

Moisture in the atmosphere condenses, fallingFile Size: 3MB. Project Methods We work directly with local government collaborators on a combination of applied research and development projects to demonstrate the applicability of geospatial information technologies.

Typically, we begin with a needs assessment - an evaluation of the issues and available technical and social resources.

We then adapt and extend commercial off-the-shelf. Spatial Analysis including Spatial Statistics: Several collections of tools in ArcGIS Pro and ArcMap include scores of new functions for space-time pattern analysis and mining (including space-time cube visualization and analysis of changes in temporal trends at a location), raster segmentation and processing, working with 3D and LAS (LiDAR.

The paper describes steps in the development of a prototype web-based DSS platform that integrates the data and information needed to support short- and long-term watershed actions.

GIS (Geographic Information System) commonly used GIS terminology abbreviations E thru H. LAND INFO Worldwide Mapping Colorado. Research Documents: RD-1, A Cumulus Convection Model Applied to Thunderstorm Rainfall in Arid Regions; Dec RD-2, An Investigation of the Determinants of Reservoir Recreation Use and Demand: The Effect of Water Surface Elevation; Nov RD-4, An Assessment of Remote Sensing Applications in Hydrologic Engineering; Sep RD-5, Guidelines for Calculating.

Project Methods The RGIS Approach: The last decade has seen an explosion of computer-based technologies for the creation, management and distribution of information about natural resources, property records, infrastructure, transportation and other land use arenas.

These geospatial technologies include geographic information systems (GIS), remote sensing, image. @article{osti_, title = {Framework Development Supporting the Safety Portal}, author = {Prescott, Steven Ralph and Kvarfordt, Kellie Jean and Vang, Leng and Smith, Curtis Lee}, abstractNote = {In a collaborating scientific research arena it is important to have an environment where analysts have access to a shared repository of information, documents, and software Author: Steven Ralph Prescott, Kellie Jean Kvarfordt, Leng Vang, Curtis Lee Smith.

EPA//R/ September QUALITY ASSURANCE AND QUALITY CONTROL IN THE DEVELOPMENT AND APPLICATION OF GROUND-WATER MODELS by Paul K.M. van der Heijde International Ground Water Modeling Center Institute for Ground-Water Research and Education Colorado School of Mines Golden, Colorado and Osman A.

Elnawawy. Human water use data may still be the most unreliable source of information needed to model the hydrologic cycle [National Research Council, ].

Challenges and opportunities are associated with the need for both data and monitoring of the social aspects of water resource systems [Braden et al., ].

Fortunately, the current emphasis on Big Cited by: Smithsonian Science Information Exchange, Inc., in Summary of International Energy Research and Development Activities –, PLASMA PHYSICS RESEARCH (PART III) R.

NO DWELL, Univ. of British Columbia, Vancouver, British Columbia, Canada. Research project summary: Non-linear wave mixing: 1. Waves of accurately specified geometry are excited in. Abstract: A prototype raster geographic information system (GIS) coupled with a decision support submodel for agricultural nitrogen nonpoint source pollution analysis is presented herein.

This analysis is an extension of the one-dimensional approach used to simulate and analyze farm production systems and their impact on the environment. Existing Data 24 Added Value Uses of Accuracy Assessment Data 25 Non-Probability Sampling 25 Policy Aspects of Probability Versus Non-Probability Sampling 26 Statistical Computing 27 Practical Realities of Sampling Design 28 Principle 1 28 Principle 2 28 Principle 3 28 Principle 4 29 Discussion 29 Summary.

@article{osti_, title = {Investigation into the computerized data bases of the Employment and Training Administration. Regional Management Information System Project (RMIS) report on second-year activities, }, author = {Postle, W and Heckman, B}, abstractNote = {The research and development project discussed was aimed at creating the necessary computer.

Commonly used GIS (Geographic Information System) terminology abbreviations A - D. LAND INFO Worldwide Mapping Satellite Imagery Solutions & Digital Map Data.

Ramesh S. Teegavarapu, Jose D. Salas, Jery R. Stedinger, Introduction chapter, in ASCE Book on Statistical Analysis of Hydrologic Variables: Methods and Applications, Link to the publication Ramesh S.

Teegavarapu, Spatial and Temporal Estimation and Analysis of Precipitation, Handbook of Applied Hydrology, McGraw Hill, Published. Department of Energy: Development of an oscillating vane concept as an innovative wind energy conversion system / (Golden, Colo.: Solar Energy Research Institute ; Springfield, VA: Available from National Technical Information Service, ), also by Richard L Bielawa, United Technologies Research Center, and Solar Energy Research Institute.

The prototype monitoring system was deployed at Boston Water and Sewer Commission (BWSC) in Decemberand it has been successfully collecting and charting near-real time hydraulic and water quality data as well as data from combined sewer outflows (CSO).

John P. Wilson has numerous Spatial Analysis publications for the general public spanning back from For more information please call () Wildland Fire and Fuels Research and Development Strategic Plan: Meeting the Needs of the Present, Anticipating the Needs of the Future Strategic Goal 1 Advance the biological, physical, social, economic, and ecological sciences The knowledge and tools needed for landscape and national planning.

• processing/analysis of terabyte-scale remote-sensing datasets on parallel supercomputer Program Manager, Microsoft Corporation, Redmond, WA, • devise, prototype and user-test Excel user interface features to improve product ease-of-use • design, prototype and user-test introductory on-line tutorials.

Two types of clients are considered in the system: PC, and all-in-one VR. Finally, we evaluated the performances of the prototype system and the key algorithms.

The results showed that in a low-latency local area network (LAN) environment, the prototype system can smoothly support 90 concurrent users consisting of PC and all-in-one VR clients.

The Hydrologic Information System consists of (1) standard signatures for hydrologic data delivery web services, (2) a standard database schema for hydrologic observations, (3) ontologies for relating water quality parameters collected and maintained.

The third session saw presentations of relevant space-based solutions for risk and disaster management support and emergency response, including on-going and planned initiatives, case studies and best practices, available geospatial data for disaster studies and capacity building opportunities.

The papers in this chapter provide an overview of the topic with a focus on case. The Georgia Watershed Information System (GWIS) is a comprehensive online system to manage, access, visualize and analyze large amounts of water quality data and information. GWIS will provide a platform for integration of state-wide efforts in environmental information collection, collation, storage, retrieval and dissemination to all concerned.

The system might be of interest to other hydrologists and can be seen as a prototype that a community‐based facility could improve upon (e.g., see discussion of hydrologic suite of instrumentation by Loescher et al.). We discuss several design, implementation, and operational issues that are unique to MLSPIV and impact the accuracy of the Cited by: I recently updated the Distributive Flow Lines (DFL) tool, simplifying the interface and making it compatible with Pro.

If you want to use the tool in ArcMap, the previous version of the DFL and the previous blog are still available. The previous blog also contains a little background on distributive flow maps and some details about the internal workings of the tool.

Contract for $, from U.S. Army Corps of Engineers, Engineering Research and Development Center. To Gary Smith and Mark Leipnik, CO-P.I.’s for Land Management System and Geo-spatial Data Repository Development and Evaluation at Fort Hood, Texas.

U.S. Army Corps of Engineers, Engineering Research and Development Center. Water Information Research and Development Alliance: Science Symposium Proceedings.

Melbourne. August Pp. Clark M, Kavetski D, Fenicia F, McMillan H. The quest for physically realistic streamflow forecasting models. Water Information Research and Development Alliance: Science Symposium Proceedings. The hydrologic research community has invested extensive resources into the development and application of increasingly complex models and related configurations (optimization, data assimilation, etc).

which is a component of the NWS’ Advanced Weather Information and Processing System (AWIPS). Still in the exploratory phase of the project. Jantzen, T.L., and D.R.

Maidment, Implementation of a State Hydrologic Information System, CRWR Online ReportCenter for Research in Water Resources, University of Texas at Austin, May Hersh, E.S., and D.R.

Maidment, Assessment of Hydrologic Alteration Software, CRWR Online ReportCenter for Research in Water Resources. This title provides a broad overview of the different types of models used in advanced spatial analysis.

The models concern spatial organization, location factors and spatial interaction patterns from both static and dynamic perspectives.geodatabase development effort in support of hydrologic modeling and water rights acquisitions in the Walker River Basin.

This effort involves spatial data development and analysis support for the Decision Support Tool (DST) currently being developed by modelers at the University of Nevada, Reno (UNR). PI on a database and web applicationFile Size: 72KB.Research projects at Rhodes iiD focus on building connections.

We encourage crosspollination of ideas across disciplines, and to develop new forms of collaboration that will advance research and education across the full spectrum of disciplines at Duke. The topics below show areas of research focus at Rhodes iiD.

See all of our research.