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Since the International Polar Year from 2007 to 2009, however, large-scale, international polar monitoring networks such as POLENET and AGAP have brought dozens of year-round GPS and seismic stations to the continent.
This conforms with the approaches of other ecosystem monitoring networks such as Critical Zone Observatories, the U.S. National Ecological Observatory Network Analysiss and Experimentation on Ecosystems, Europe; Chinese Ecosystem Research Network International Long Term Ecological Researchh network and the United States Long Term Ecological Research Network.
Therefore, in jurisdictions with fairly dense monitoring networks such as the United States, it may be appropriate to assess exposure with KC using nearby ground-level measurements.
In these cases, ambient air-quality monitoring networks, such as the Air Quality System (AQS) operated by the U.S. Environmental Protection Agency EPAA), constitute important and useful environmental data sources concerning the acute and chronic effects of ambient pollutants (U.S. EPA 2002).
In the United States, for instance, several monitoring networks (such as the National Healthcare Safety Network, the National Antimicrobial Resistance Monitoring System, and the Emerging Infections Program) focus on different settings or different pathogens; aggregating their data provides useful insights for enhancing the management of infectious diseases as a whole.
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For instance, in the analysis of spatial connections in a streamflow monitoring network (such as the one shown in Fig. 1), a common measure used is the spatial correlation between nodes, and node pairs that have spatial correlation values exceeding a certain threshold value (T) may be assigned links (e.g., Sivakumar and Woldemeskel 2014).
Such monitoring networks are rare in less wealthy regions of the world (Cohen et al. 2005).
These meet new efforts at community monitoring and accountability evident through networks such as Equinet (Additional file 4) and the Community of Practitioners on Accountability and Social Action in Health (COPASAH; Additional file 5).
Also, the monitoring network is optimized such that sampling points are removed from less polluted areas and selected in areas with higher pollutant concentrations.
It is based on programming open-source tools (such as Nagios and RT) and intelligently integrating them to monitor network devices such as switches and routers.
Thereby, sensor devices can perform accurate monitoring although connected via constrained wireless networks such as IEEE 802.15.4 [4].
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