Shared data model to support environment sensor network data in hydrologic models

M. Kumar, Christopher J. Duffy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the advancement of wireless communication and miniaturization of digital electronics, long term observation of remote hydrologic systems using adaptive sensor networks at high spatio-temporal resolutions and across multiple scales, has become a reality. However, for large spatial scales embedded multi-sensor networks with fine temporal sampling rates, the amount and distribution of data generated by these networks becomes unmanageably large. While the sensor network installation itself is generally supported by basic data management software, in the hydrologic sciences there is little support available to directly incorporate the data generated into the hydrologic model. We contend that a seamless transfer of the observed data to the model can be achieved by developing a shared data model which will standardize storage and management of data both at the sensor base station and the hydrologic model. This will lead to enhanced data transfer integrity and will also result in direct input of the sensor network data to the model in realtime without having to go through intermediate pre-processing steps which are error prone. Here we present the shared Data Model structure along with its design considerations in terms of data types, identification of data-classes, relationships and constraints.

Original languageEnglish (US)
Title of host publicationProc. iEMSs 4th Biennial Meeting - Int. Congress on Environmental Modelling and Software
Subtitle of host publicationIntegrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008
Pages75-82
Number of pages8
StatePublished - Dec 1 2008
Event4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008 - Barcelona, Catalonia, Spain
Duration: Jul 7 2008Jul 10 2008

Publication series

NameProc. iEMSs 4th Biennial Meeting - Int. Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008
Volume1

Other

Other4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008
CountrySpain
CityBarcelona, Catalonia
Period7/7/087/10/08

All Science Journal Classification (ASJC) codes

  • Software
  • Environmental Engineering
  • Decision Sciences (miscellaneous)

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  • Cite this

    Kumar, M., & Duffy, C. J. (2008). Shared data model to support environment sensor network data in hydrologic models. In Proc. iEMSs 4th Biennial Meeting - Int. Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008 (pp. 75-82). (Proc. iEMSs 4th Biennial Meeting - Int. Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008; Vol. 1).