scholarly journals Italian Radon mOnitoring Network (IRON): A permanent network for near real-time monitoring of soil radon emission in Italy

2018 ◽  
Vol 61 (Vol 61 (2018)) ◽  
Author(s):  
Valentina Cannelli ◽  
Antonio Piersanti ◽  
Gianfranco Galli ◽  
Daniele Melini
Keyword(s):  
Real Time ◽  
Monitoring Network ◽  
Real Time Monitoring ◽  
Soil Radon ◽  
Radon Emission ◽  
Radon Monitoring

scholarly journals The aquatic real-time monitoring network; in-situ optical sensors for monitoring the nation's water quality

Fact Sheet ◽  
2011 ◽  
pp. 1-2 ◽  
Author(s):  
Brian A. Pellerin ◽  
Brian A. Bergamaschi ◽  
Peter S. Murdoch ◽  
Bryan D. Downing ◽  
John Franco Saraceno ◽  
...  
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Optical Sensors ◽  
Monitoring Network ◽  
Real Time Monitoring

scholarly journals Implementation of a Radon Monitoring Network in a Seismic Area

Atmosphere ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1041
Author(s):  
Victorin-Emilian Toader ◽  
Andrei Mihai ◽  
Iren-Adelina Moldovan ◽  
Constantin Ionescu ◽  
Alexandru Marmureanu ◽  
...  
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Sampling Rate ◽  
Region Of Interest ◽  
Monitoring Network ◽  
Geological Structure ◽  
Reference Level ◽  
Seismic Area ◽  
Radon Monitoring

Large-scale radon monitoring is carried out due to the fact that it is directly responsible for public health. European Directive 2013/59/EURATOM has been transposed into the legislation of several countries and provides for the need for long-term monitoring of radon in homes and workplaces by setting the average annual reference level at 300 Bq/m3. At the same time, radon is a precursor factor, its emission being correlated with seismic and volcanic activity. In this case, the protection of the population is ensured by a forecast similar to a meteorological one. The NIEP (National Institute for Earth Physics) is developing a multidisciplinary real-time monitoring network in the most dangerous seismic area in Romania, Vrancea. This is located at the bend of the Carpathian Mountains and is characterized by deep earthquakes (over 80 km), with destructive effects over large distances. Implementing a multidisciplinary monitoring network that includes radon, involves finding the locations and equipment that will give the best results. There is no generic solution for achieving this, because the geological structure depends on the monitoring area, and in most cases the equipment does not offer the ability to transmit data in real time. The positioning of the monitoring stations was based on fault maps of the Vrancea area. Depending on the results, some of the locations were changed in pursuit of a correlation with zonal seismicity. Through repeated tests, we established the optimal sampling rate for minimizing errors, maintaining measurement accuracy, and ensuring the detection of anomalies in real time. The radon 222Rn was determined by the number of counts and ROI1 (region of interest) values, depending on the particularities of the equipment. Finally, we managed to establish a real-time radon monitoring network which transmits data to geophysical platforms and makes correlations with the seismicity in the Vrancea area. The equipment, designed to store data for long periods of time then manually download it with manufacturers’ applications, now works in real time, after we implemented software designed specifically for this purpose.

Fault detection in a real-time monitoring network for water quality in the lagoon of Venice (Italy)

2004 ◽  
Vol 50 (11) ◽  
pp. 51-58 ◽  
Author(s):  
S. Ciavatta ◽  
R. Pastres ◽  
Z. Lin ◽  
M.B. Beck ◽  
C. Badetti ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Control ◽  
Data Quality ◽  
Real Time ◽  
Monitoring Network ◽  
Recursive Estimation ◽  
Data Quality Control ◽  
Real Time Monitoring ◽  
Lagoon Of Venice ◽  
On Line

In the context of monitoring water quality in natural ecosystems in real time, on-line data quality control is a very important issue for effective system surveillance and for optimizing maintenance of the monitoring network. This paper presents some applications of recursive state-parameter estimation algorithms to real-time detection of signal drift in high-frequency observations. Two continuous-discrete recursive estimation schemes, namely the Extended Kalman Filter and the Recursive Prediction Error algorithm, were applied to assuring the quality of the dissolved oxygen (DO) time series, as obtained from the Lagoon of Venice (Italy) during August 2002, through the real-time monitoring network of the Magistrato alle Acque (the Venice Water Authority). Results demonstrate the effectiveness of the methodology in early detection of a probable drift in the DO signal. Comparison of these results with those obtained from the application of a related recursive scheme (a Dynamic Linear Regression procedure) suggests the strong benefits of approaching the problem of on-line data quality control with several (not merely a single) independent such estimation methods.

Design of Temperature Monitoring Network Based on CC1110 Wireless Microcontroller

2011 ◽  
Vol 308-310 ◽  
pp. 1679-1682
Author(s):  
Fang Wang ◽  
Gui Tang ◽  
Jie Zhu
Keyword(s):  
Real Time ◽  
Temperature Sensor ◽  
Monitoring Network ◽  
Temperature Monitoring ◽  
Real Time Monitoring ◽  
The Real ◽  
Communication Module ◽  
Network Program ◽  
Special Circumstances ◽  
Wireless Node

In order to realize the special circumstances of the real-time monitoring of temperature parameters, this paper presents a wireless temperature monitoring network program based on integrated temperature sensor of CC1110 chip. Wireless node using TI's wireless communication module CC1110, using integrated temperature sensor of CC1110 chip for temperature acquisition, through appropriate software control and display, to achieve the real-time monitoring of the temperature parameters on the special circumstances.

Estimation of phytoplanktonic production and system respiration from data collected by a real-time monitoring network in the Lagoon of Venice

2008 ◽  
Vol 212 (1-2) ◽  
pp. 28-36 ◽  
Author(s):  
Stefano Ciavatta ◽  
Roberto Pastres ◽  
Christian Badetti ◽  
Giorgio Ferrari ◽  
M.B. Beck
Keyword(s):  
Real Time ◽  
Monitoring Network ◽  
Real Time Monitoring ◽  
Lagoon Of Venice

1618: Real-Time Monitoring of Nitric Oxide and Blood Flow During Ischemia-Reperfusion in the Rat Testis

2006 ◽  
Vol 175 (4S) ◽  
pp. 521-521
Author(s):  
Motoaki Saito ◽  
Tomoharu Kono ◽  
Yukako Kinoshita ◽  
Itaru Satoh ◽  
Keisuke Satoh
Keyword(s):  
Nitric Oxide ◽  
Blood Flow ◽  
Real Time ◽  
Ischemia Reperfusion ◽  
Real Time Monitoring ◽  
Rat Testis
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