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    Verification and calibration of tipping-bucket rain gauges used in the state of São Paulo for intense rain situations

    xmlui.dri2xhtml.METS-1.0.item-type
    Trabalho apresentado em evento
    Date
    2007
    Author
    Reda, André Luiz de Lima
    Lobo, Gré de Araújo
    Ortiz, Jayme Pinto
    Uehara, Daniel Massashi
    Metadata
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    Abstract
    The importance of rain data for several purposes, including planning and design in Civil and Environmental Engineering, Architecture, Agriculture, Aeronautics, Tourism and other human activities, has risen as land occupation grows and natural resources become rarer. An increasing number of different models of rain gauges is available in the market, particularly some used in São Paulo State both for the purposes of regular data assembling for the State Hydrological Data Basis and real time monitoring for the protection of population and urban infra-structure. Many of these devices, particularly in the second category, adopt a tipping-bucket design - well accepted as those more suitable for automatic and telemetric monitoring. The importance of reliability on the precision of such gauges has been emphasized in the literature, particularly when measuring intense rain, through practical demonstration in a controlled, laboratory environment. Depending on each gauge design, problems related to: device cleaning; regular checking; fluid dynamical effects during the filling and the emptying phases of the bucket and the duration of each of these two phases have brought different authors to recommend calibration for the correct interpretation of intense rain measurements - with special attention to these points - and, eventually, changes or simple improvement in design. This paper proposes practical calibration rules demonstrated to considerably increase rain data reliability. Such rules are based on laboratory experiments with two different types of rain gauges performed at Mauá Institute of Technology - School of Engineering, in São Caetano do Sul, São Paulo State, Brazil. The results reinforce the need for defining similar procedures for all types of similar gauges.
    1. Errors em rainfall sampling
    2. Rain gage calibration
    3. Rain measuring
    4. Tipping-bucket gage
    5. Calibration
    6. Design
    7. Errors
    8. Fluids
    9. Gage blocks
    10. Meteorological instruments
    11. Monitoring
    12. Population statistics
    13. Rain gages
    14. Visualization
    15. Data reliability
    16. Dynamical effects
    17. Human activities
    18. Hydrological data
    19. Infra-structure
    20. Laboratory environment
    21. Laboratory experiments
    22. Planning and design
    23. Rain gage calibration
    24. Rain gauges
    25. Rain measurement
    26. Real time monitoring
    27. School of engineering
    28. Tipping-bucket gage
    29. Rain
    URI
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-78650432418&partnerID=40&md5=a780efddf03c0143fa6836b2221d4f73
    https://repositorio.maua.br/handle/MAUA/990
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