Skip to main content

IMIS

A new integrated search interface will become available in the next phase of marineinfo.org.
For the time being, please use IMIS to search available data

 

[ report an error in this record ]basket (1): add | show Print this page

one publication added to basket [258306]
Estimating the Underwater Diffuse Attenuation Coefficient with a Low-Cost Instrument: The KdUINO DIY Buoy
Bardaji, R.; Sánchez, A.-M.; Simon, C.; Wernand, M.R.; Piera, J. (2016). Estimating the Underwater Diffuse Attenuation Coefficient with a Low-Cost Instrument: The KdUINO DIY Buoy. Sensors 16(3): 373. dx.doi.org/10.3390/s16030373
In: Sensors. MDPI: Basel. e-ISSN 1424-8220, more
Peer reviewed article  

Available in  Authors 

Author keywords
    Arduino; buoy; citizen science; do-it-yourself; KdUINO; light; low-cost sensor; oceanography; diffuse attenuation coefficient

Authors  Top 
  • Bardaji, R.
  • Sánchez, A.-M.
  • Simon, C.
  • Wernand, M.R., more
  • Piera, J.

Abstract
    A critical parameter to assess the environmental status of water bodies is the transparency of the water, as it is strongly affected by different water quality related components (such as the presence of phytoplankton, organic matter and sediment concentrations). One parameter to assess the water transparency is the diffuse attenuation coefficient. However, the number of subsurface irradiance measurements obtained with conventional instrumentation is relatively low, due to instrument costs and the logistic requirements to provide regular and autonomous observations. In recent years, the citizen science concept has increased the number of environmental observations, both in time and space. The recent technological advances in embedded systems and sensors also enable volunteers (citizens) to create their own devices (known as Do-It-Yourself or DIY technologies). In this paper, a DIY instrument to measure irradiance at different depths and automatically calculate the diffuse attenuation Kd coefficient is presented. The instrument, named KdUINO, is based on an encapsulated low-cost photonic sensor and Arduino (an open-hardware platform for the data acquisition). The whole instrument has been successfully operated and the data validated comparing the KdUINO measurements with the commercial instruments. Workshops have been organized with high school students to validate its feasibility.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors