Center for Embedded Network Sensing
Water Quality Sensing and Sampling
- Author(s): Robert Gilbert
- Richard F. Ambrose
- William J. Kaiser
- et al.
Algal blooms and other negative stream conditions result from dynamic, interrelated factors. Understanding complex biotic and abiotic interactions often require multi-scale, high-resolution measurements. Stream conditions can change rapidly. Conventional low-resolution field sampling may miss important system dynamics. Using the NIMS node technology, we will be able to extract much higher resolution stream data. The nodes will be able to sense and sample a variety of water quality parameters, both abiotic and biotic. The node technology will enable better understanding of the process with which anthropogenic inputs flow through watersheds and change stream ecology. Greater familiarity of these processes will enable better management techniques.