Research on water level gauge image identification based on intelligent remote viewing

The occurrence of excessive fluid sloshing during an earthquake can damage structures used to store fluids and can induce secondary disasters, such as environmental destruction and human casualties, due to discharge of the stored fluids. Thus, to prevent such disasters, it is important to accurately predict the sloshing behavior of liquid storage tanks. Tubular level gauges, which visually show the fluid level of a liquid storage tank, are easy to install and economical compared to other water level gauges. They directly show the fluid level and can be applied for various fluids because they can be constructed with various materials according to the fluid characteristics and the intended use. Therefore, in this study, the shaking table test was conducted to verify the validity of the method for measuring the water level response of the tubular level gauge installed on a liquid storage tank using image signals. In addition, image enhancement methods were applied to distinguish between the float installed in the tubular level gauge and the gray level of the background.

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Can GNSS-R Detect Abrupt Water Level Changes?

Remote Sensing ◽

10.3390/rs12213614 ◽

2020 ◽

Vol 12 (21) ◽

pp. 3614

Author(s):

Sajad Tabibi ◽

Olivier Francis

Keyword(s):

Water Level ◽

Vertical Velocity ◽

Energy Demand ◽

Water Surface ◽

Spatial Scales ◽

Satellite System ◽

Water Levels ◽

Level Gauge ◽

Surface Reflection ◽

Microwave Radar

Global navigation satellite system reflectometry (GNSS-R) uses signals of opportunity in a bi-static configuration of L-band microwave radar to retrieve environmental variables such as water level. The line-of-sight signal and its coherent surface reflection signal are not separate observables in geodetic GNSS-R. The temporally constructive and destructive oscillations in the recorded signal-to-noise ratio (SNR) observations can be used to retrieve water-surface levels at intermediate spatial scales that are proportional to the height of the GNSS antenna above the water surface. In this contribution, SNR observations are used to retrieve water levels at the Vianden Pumped Storage Plant (VPSP) in Luxembourg, where the water-surface level abruptly changes up to 17 m every 4-8 h to generate a peak current when the energy demand increases. The GNSS-R water level retrievals are corrected for the vertical velocity and acceleration of the water surface. The vertical velocity and acceleration corrections are important corrections that mitigate systematic errors in the estimated water level, especially for VPSP with such large water-surface changes. The root mean square error (RMSE) between the 10-min multi-GNSS water level time series and water level gauge records is 7.0 cm for a one-year period, with a 0.999 correlation coefficient. Our results demonstrate that GNSS-R can be used as a new complementary approach to study hurricanes or storm surges that cause abnormal rises of water levels.

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Design and experience with the BICOTH-type reactor water level gauge for the Dodewaard nuclear power plant

IEEE Transactions on Nuclear Science ◽

10.1109/23.34642 ◽

1989 ◽

Vol 36 (1) ◽

pp. 1251-1255 ◽

Cited By ~ 1

Author(s):

K. Ara ◽

M. Katagiri ◽

K.P. Termaat ◽

P. Mostert ◽

T. Johnston ◽

...

Keyword(s):

Power Plant ◽

Nuclear Power Plant ◽

Water Level ◽

Nuclear Power ◽

Level Gauge ◽

Reactor Water ◽

Type Reactor

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Space-geodetic and water level gauge constraints on continental uplift and tilting over North America: regional convergence of the ICE-6G_C (VM5a/VM6) models

Geophysical Journal International ◽

10.1093/gji/ggx156 ◽

2017 ◽

Vol 210 (2) ◽

pp. 1115-1142 ◽

Cited By ~ 23

Author(s):

Keven Roy ◽

W.R. Peltier

Keyword(s):

North America ◽

Water Level ◽

Level Gauge ◽

Regional Convergence

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Improving real-time operational streamflow simulations using discharge data to update state variables of a distributed hydrological model

Hydrology Research ◽

10.2166/nh.2021.162 ◽

2021 ◽

Author(s):

Francesco Silvestro ◽

Giulia Ercolani ◽

Simone Gabellani ◽

Pietro Giordano ◽

Marco Falzacappa

Keyword(s):

Water Level ◽

Real Time ◽

Large Scale ◽

Root Zone ◽

Time Window ◽

Distributed Model ◽

Level Gauge ◽

State Variables ◽

Model Errors ◽

Discharge Data

Abstract Reducing errors in streamflow simulations is one of the main issues for a reliable forecast system aimed to manage floods and water resources. Data assimilation is a powerful tool to reduce model errors. Unfortunately, its use in operational chains with distributed and physically based models is a challenging issue since many methodologies require computational times that are hardly compatible with operational needs. The implemented methodology corrects modelled water level in channels and root-zone soil moisture using real-time water level gauge stations. Model's variables are corrected locally, then the updates are propagated upstream with a simple approach that accounts for sub-basins’ contributions. The overfitting issue, which arises when updating a spatially distributed model with sparse streamflow data, is hence here addressed in the context of a large-scale operational implementation working in real time thanks to the simplicity of the strategy. To test the method, a hindcast of daily simulations covering 18 months was performed on the Italian Tevere basin, and the modelling results with and without assimilation were compared. The setup was that currently in place in the operational framework in both cases. The analysis evidences a clear overall benefit of applying the proposed method even out of the assimilation time window.

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Early warning flood detector adopting camera by Sobel Canny edge detection algorithm method

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v22.i3.pp1796-1802 ◽

2021 ◽

Vol 22 (3) ◽

pp. 1796

Author(s):

Satryo B. Utomo ◽

Januar Fery Irawan ◽

Rizqi Renafasih Alinra

Keyword(s):

Image Processing ◽

Edge Detection ◽

Water Level ◽

Real Time ◽

Early Warning ◽

Detection System ◽

Water Levels ◽

Level Gauge ◽

Canny Edge Detection ◽

Canny Edge

Early warning of floods is an essential part of disaster management. Various automatic detectors have been developed in flood mitigation, including cameras. But reliability and accuracy have not been improved. Besides, the use of monitoring devices has been employed to monitor water levels in various water building facilities. The early warning flood detector was carried out with a sensor camera using an orange ball that floats near the water level gauge in a bounding box. This approach uses the integration of computer vision and image processing, namely digital image processing techniques, with Sobel Canny edge detection (SCED) algorithms to detect quickly and accurately water levels in real-time. After the water level is measured, a flood detection process is carried out based on the specified water level. According to the results of experiments in the laboratory, it has been shown that the proposed approach can detect objects accurately and fast in real-time. Besides, from the water level detection experiment, good results were obtained. Therefore, the object detection system and water level can be used as an efficient and accurate early detection system for flood disasters.

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