scholarly journals Babbling brook to thunderous torrent: Using sound to monitor river stage

2021 ◽  
Author(s):  
Wm. Alexander Osborne ◽  
Rebecca A. Hodge ◽  
Gordon D. Love ◽  
Peter Hawkin ◽  
Ruth E. Hawkin
Keyword(s):  
River Stage

DEPENDENCY ON NETWORK STRUCTURE AND INFORMATION DENSITY OF DEEP LEARNING BASED RIVER STAGE PREDICTION

2018 ◽  
Vol 74 (5) ◽  
pp. I_169-I_174
Author(s):  
Daisuke TOKUDA ◽  
Eunho KOO ◽  
Hyungjun KIM
Keyword(s):  
Deep Learning ◽  
Network Structure ◽  
River Stage ◽  
Information Density

Influence of River Stage on Shoreline Electrofishing Catches in the Upper Mississippi River

1985 ◽  
Vol 114 (6) ◽  
pp. 857-860 ◽  
Author(s):  
Rodney B. Pierce ◽  
Daniel W. Coble ◽  
Scott D. Corley
Keyword(s):  
Mississippi River ◽  
Upper Mississippi River ◽  
River Stage

Forecasting River Stage with Artificial Neural Networks

2006 ◽  
pp. 353-373
Author(s):  
Pauline Kneale ◽  
Linda See
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
River Stage ◽  
Artificial Neural

scholarly journals Assessing the Influences of a Flood Diversion Project on Mitigating River Stage, Inundation Extent and Economic Loss

Water ◽  
2015 ◽  
Vol 7 (12) ◽  
pp. 1731-1750 ◽  
Author(s):  
Wei-Bo Chen ◽  
Wen-Cheng Liu ◽  
Huei-Shuin Fu ◽  
Jiun-Huei Jang
Keyword(s):  
Economic Loss ◽  
River Stage ◽  
Inundation Extent ◽  
Flood Diversion

Modeling River Stage-Discharge Relationships Using Different Neural Network Computing Techniques

2009 ◽  
Vol 37 (2) ◽  
pp. 160-169 ◽  
Author(s):  
Özgür Kisi ◽  
Murat Çobaner
Keyword(s):  
Neural Network ◽  
Network Computing ◽  
River Stage ◽  
Neural Network Computing

Assessing Surface water- alluvial aquifer water exchange using a multitracer approach and modelling

2021 ◽  
Author(s):  
Jérôme Texier ◽  
Julio Gonçalves ◽  
Thomas Stieglitz ◽  
Christine Vallet-Coulomb
Keyword(s):  
Water Exchange ◽  
Alluvial Aquifer ◽  
Western Boundary ◽  
Measured Temperature ◽  
River Stage ◽  
Level Measurement ◽  
Transit Times ◽  
Pumping Wells ◽  
Boundary Model ◽  
Stable Isotopes Of Water

<p>Alluvial aquifers are generally highly productive in terms of groundwater and are therefore particularly exploited. The study site is a drinking water production facility located on the alluvial plain of the Rhône river, France. This site consists of several pumping wells and observation piezometers organized along the riverbank. The site is continuously supplying water to neighboring agglomerations with intermittent pumping. In this situation, the pumping produces a piezometric depression allowing leading to a water exchange from the river to the aquifer which is a common feature in the case of alluvial aquifer exploitation along a riverside.</p><p>The four pumping wells and five piezometers were equipped with continuous automatic temperature and water level measurement probes, the river stage is monitored as well. These data are used to determine the exchange (direction and magnitude) between the aquifer and the river. Although pumping is intermittent, it does not allow a sufficient recovering of the natural piezometric level, i.e. the aquifer is permanently below the river stage.</p><p>In addition to the automatic probes, additional data acquisition campaigns were carried out. During these campaigns different tracers were used such as conductivity, stable isotopes of water and radon activity. Together with the continuously measured temperature, these various tracers were used to identify hydrodynamic variables and parameters, such as Darcy’s velocity, dispersivity, transit times. A MODFLOW model was developed, integrating the site geometry and hydrodynamic context, with the Rhone River at the western boundary and the Ouveze river at the eastern boundary. Model calibration was performed using the study site piezometric records and the optimization package PEST. The flow was reproduced at the site for two situations, a natural situation without groundwater pumping, and the exploitation situation with the groundwater withdrawals. Finally, the tracer’s data were integrated into the model to reproduce the transport of different tracers, in order to quantify the exchanges and the water fractions coming from the different hydraulic boundaries.</p>

Innovative method for gathering river stage data using only the sound of the water

2021 ◽  
Author(s):  
William Alexander Osborne ◽  
Rebecca Hodge ◽  
Gordon Love ◽  
Peter Hawkin ◽  
Ruth Hawkin
Keyword(s):  
Winter Season ◽  
Cost Effective ◽  
Storm Events ◽  
River Bank ◽  
Power Efficient ◽  
River Flooding ◽  
River Stage ◽  
North East ◽  
The North ◽  
Environment Agency

<p>Splosh, gurgle, burble are all terms that can be used to describe how a river sounds as we stand on the bank. We have developed a new approach that uses the passive sound generated by a river, to gauge the current stage of the river, and generate (sono)hydrographs from the safety of the river bank. Our approach offers a cost-effective, power-efficient and flexible means to install flood monitors. We have developed a method of how to take the sound from around a river and translate it into a useful gauging tool without the need to listen to individual recordings. Using an internet of things approach we have developed a system of sound monitors that can be placed anywhere in the vicinity of a river. We aim to target the lesser studied parts of a river catchment, the headwaters, which are often data scarce environments. These environments are an opportunity to identify the real time responses of sub-catchments. The ultimate goal of our research is to enable community level flood monitoring, in areas that may be susceptible to river flooding, but are not yet actively gauged.</p><p> </p><p>We hypothesise that the sound generated by a river is a direct response to the obstacles found within the channel and the turbulence they cause. Sound is generated by the increase of energy available in the channel, being transformed into sound energy through turbulence generating structures, i.e. boulders. Data gathered over a winter season from several rivers in the North East of England, during Storm Ciara and Dennis, has shown sound to be a reliable method for determining rapid changes in river stage and is comparable to what the official Environment Agency gauges measured. Through an innovative approach, we have begun to understand the limits on sound data and the calibration of sound to the channel properties. Utilising a 7.5 m wide flume at a white water course we have recreated controlled environments and simulated different discharges and their effect on sound.</p><p> </p><p>Overall, we have found that sound is an opportunity to be taken to measure river stage in areas that are seldom studied. We have identified that sound works during extreme conditions, and being placed on the banks of the channel our monitors have a lower risk of being damaged during storm events and are easy and safe to install. We present the first means of using sound from a river to actively gauge a river and the full workflow from collection, analysis and dissemination of results.</p>

Analysis of groundwater and river stage fluctuations and their relationship with water use and climate variation effects on Alto Grande watershed, Northeastern Brazil

2020 ◽  
Vol 103 ◽  
pp. 102723 ◽  
Author(s):  
Eduardo A.G. Marques ◽  
Gerson C. Silva Junior ◽  
Glauco Z.S. Eger ◽  
Archange M. Ilambwetsi ◽  
Pousa Raphael ◽  
...  
Keyword(s):  
Water Use ◽  
Climate Variation ◽  
Northeastern Brazil ◽  
River Stage

River stage prediction based on a distributed support vector regression

2008 ◽  
Vol 358 (1-2) ◽  
pp. 96-111 ◽  
Author(s):  
C.L. Wu ◽  
K.W. Chau ◽  
Y.S. Li
Keyword(s):  
Support Vector Regression ◽  
Support Vector ◽  
River Stage
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