Bridge-Mounted River Stage Sensors (BMRSS)
Open Access
- 21 November 2016
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 4, 8948-8966
Abstract
We have developed a robust sensor for mounting on bridges over rivers and streams. These bridge-mounted river stage sensors (BMRSS) make periodic measurements of the distance from the sensor to the water level below. Properly interpreted, these measurements provide river-stage information, data of great importance to society and crucial to effective flood forecasting. The traditional approach to river stage measurement is the installation of pipes in rivers, digging stilling wells, and the construction of attendant brick-and-mortar infrastructure. The cost of this approach limits the deployment to larger rivers. In most instances, river-stage data from smaller tributaries are few, even though such data can greatly enhance the quality of flood-forecasting models' outputs. In contrast, BMRSS units are an order of magnitude less expensive and allow for widespread deployment. BMRSS units incorporate an ultrasonic distance-measuring module, a solar panel/battery/charge controller, and a GPS receiver. In recent years, the Internet access through commercial cellular networks has become ubiquitous, even in most rural areas. BMRSS units incorporate cell modems and transmit data through the Internet to servers at the Iowa Flood Center. Here, the data are ingested into relational databases and made available to flood forecasting models and information systems. We have deployed and operated more than 220 BMRSS units across Iowa, many for several years continuously.Keywords
Funding Information
- Iowa Flood Center at the University of Iowa, Iowa City, IA, USA
This publication has 10 references indexed in Scilit:
- Towards an integrated Flood Information System: Centralized data access, analysis, and visualizationEnvironmental Modelling & Software, 2013
- Extreme Flood Response: The June 2008 Flooding in IowaJournal of Hydrometeorology, 2013
- Rainfall‐Runoff Modelling2012
- Environmental sensor network data packaging and transmission via cellular networks2011
- Using Cellular Network Signal Strength to Monitor Vegetation CharacteristicsIEEE Geoscience and Remote Sensing Letters, 2010
- Diurnal fluctuations in shallow groundwater levels and streamflow rates and their interpretation – A reviewJournal of Hydrology, 2010
- A Watershed Year2010
- Floods of May and June 2008 in Iowa2010
- Dynamic maximum power point tracking of photovoltaic arrays using ripple correlation controlIEEE Transactions on Power Electronics, 2006
- GSM, GPRS and EDGE Performance2003