Longitudinal
profiling of water quality via the deployment of sensors
from watercraft has advanced the understanding of spatial patterns
in large rivers and lakes; however, a similar approach in low- to
mid-order streams is lacking. To fill this gap, we developed an unmanned
surface vehicle (USV)-water quality measurement platform (the “AquaBOT”).
The components of the AquaBOT included a nitrate sensor, multiparameter
sonde (temperature, conductivity, turbidity, dissolved oxygen, chlorophyll),
quantum sensor, and global positioning system (GPS) mounted to a small
pontoon-style USV. The AquaBOT was tested in four streams and rivers
in Iowa and Tennessee. All measured water quality parameters varied
longitudinally, and greater ranges were generally observed along the
low-order, agriculturally influenced streams in Iowa. Nitrate, in
particular, was spatially heterogeneous. For example, during one run
in early June, concentrations ranged from 10.5 to 12.5 mg N L–1 along a 2.3 km reach and hotspots were observed directly
downstream of some tile drains. The spatial resolution of AquaBOT
data collected in June was 10× higher than grab sampling data,
and measurements were collected in less time and at a comparable cost.
The AquaBOT can complement existing measurement approaches and will
lead to advancements in understanding the processes driving water
quality along the stream-to-river continuum.