A data management and publication workflow for a large-scale, heterogeneous sensor network

被引:0
作者
Amber Spackman Jones
Jeffery S. Horsburgh
Stephanie L. Reeder
Maurier Ramírez
Juan Caraballo
机构
[1] Utah State University,Utah Water Research Laboratory
[2] Utah State University,Department of Civil and Environmental Engineering and Utah Water Research Laboratory
来源
Environmental Monitoring and Assessment | 2015年 / 187卷
关键词
Cyberinfrastructure; Sensor; Quality control; Data management; Hydrology; Data models; Observatory;
D O I
暂无
中图分类号
学科分类号
摘要
It is common for hydrology researchers to collect data using in situ sensors at high frequencies, for extended durations, and with spatial distributions that produce data volumes requiring infrastructure for data storage, management, and sharing. The availability and utility of these data in addressing scientific questions related to water availability, water quality, and natural disasters relies on effective cyberinfrastructure that facilitates transformation of raw sensor data into usable data products. It also depends on the ability of researchers to share and access the data in useable formats. In this paper, we describe a data management and publication workflow and software tools for research groups and sites conducting long-term monitoring using in situ sensors. Functionality includes the ability to track monitoring equipment inventory and events related to field maintenance. Linking this information to the observational data is imperative in ensuring the quality of sensor-based data products. We present these tools in the context of a case study for the innovative Urban Transitions and Aridregion Hydrosustainability (iUTAH) sensor network. The iUTAH monitoring network includes sensors at aquatic and terrestrial sites for continuous monitoring of common meteorological variables, snow accumulation and melt, soil moisture, surface water flow, and surface water quality. We present the overall workflow we have developed for effectively transferring data from field monitoring sites to ultimate end-users and describe the software tools we have deployed for storing, managing, and sharing the sensor data. These tools are all open source and available for others to use.
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  • [1] Ames DP(2012)HydroDesktop: web services-based software for hydrologic data discovery, download, visualization, and analysis Environmental Modelling & Software 37 146-156
  • [2] Horsburgh JS(2013)Quantity is nothing without quality Bioscience 63 574-585
  • [3] Cao Y(2006)New opportunities in ecological sensing using wireless sensor networks Frontiers in Ecology and the Environment 4 402-407
  • [4] Kadlec J(2013)HydroServer Lite as an open source solution for archiving and sharing environmental data for independent university labs Ecological Informatics 18 171-177
  • [5] Whiteaker T(2013)Towards an integrated flood information system: centralized data access, analysis, and visualization Environmental Modelling and Software 50 77-84
  • [6] Valentine D(2005)Post-field data quality control, chapter 9 in. handbook of micrometeorology Atmospheric and Oceanographic Sciences Library 29 181-208
  • [7] Campbell JL(2006)Environmental sensor networks: a revolution in the earth system science? Earth-Science Reviews 78 177-191
  • [8] Rustad LE(2008)A relational model for environmental and water resources data Water Resources Research 44 W05406-888
  • [9] Porter JH(2009)An integrated system for publishing environmental observations data Environmental Modeling and Software 24 879-73
  • [10] Taylor JR(2011)Components of an integrated environmental observatory information system Computers & Geosciences 52 62-44