scholarly journals Distributed LoRa based CO2 monitoring network - A standalone open source system for contagion prevention by controlled ventilation

HardwareX ◽  
2022 ◽  
pp. e00261
Author(s):  
Yannic Toschke ◽  
Janet Lusmoeller ◽  
Lars Otte ◽  
Johann Schmidt ◽  
Svenja Meyer ◽  
...  
Keyword(s):  
Open Source ◽  
Monitoring Network ◽  
Controlled Ventilation ◽  
Co2 Monitoring

scholarly journals Developing a Hydrologic Monitoring Network in Data‐Scarce Regions Using Open‐Source Arduino Dataloggers

ael ◽  
2016 ◽  
Vol 1 (1) ◽  
pp. 160011 ◽  
Author(s):  
Silja V. Hund ◽  
Mark S. Johnson ◽  
Tom Keddie
Keyword(s):  
Open Source ◽  
Monitoring Network ◽  
Hydrologic Monitoring

scholarly journals CO2 MONITORING FOR DEMAND CONTROLLED VENTILATION IN COMMERCIAL BUILDINGS

2010 ◽  
Author(s):  
William J. Fisk ◽  
Douglas P. Sullivan ◽  
David Faulkner ◽  
Ekaterina Eliseeva
Keyword(s):  
Commercial Buildings ◽  
Controlled Ventilation ◽  
Co2 Monitoring ◽  
Demand Controlled Ventilation

Assessing the effectiveness of an urban CO2 monitoring network through the COVID-19 lockdown natural experiment

2021 ◽  
Author(s):  
Jinghui Lian ◽  
Thomas Lauvaux ◽  
Hervé Utard ◽  
Grégoire Broquet ◽  
François-Marie Bréon ◽  
...  
Keyword(s):  
Real Time ◽  
Co2 Emissions ◽  
Transport Model ◽  
Monitoring Network ◽  
Co2 Concentration ◽  
Mitigation Measures ◽  
Potential Contribution ◽  
Activity Data ◽  
Co2 Monitoring ◽  
The City

<p>Quantitative monitoring of CO2 sources and sinks over cities is needed to support the urban adaptation and mitigation measures, but it is a challenging task. The Paris metropolitan area is a highly built-up and densely populated region in France. The two national COVID-19 forced confinements that are 1) effective on March 17th, with a duration of 55 days until May 11th, 2) effective on October 30th, with a duration of 46 days until December 15th provide an opportunity to assess the behaviour and robustness of the dedicated atmospheric inversion system for estimating the city-scale CO2 emissions.</p><p>In this study, the atmospheric Bayesian inversion approach that couples six in-situ continuous CO2 monitoring stations with the WRF-Chem transport model at 1-km horizontal resolutions has been used to quantify the impacts of lockdown on CO<sub>2</sub> emissions for the Paris megacity. The prior emission estimate was from the Origins inventory, a near-real-time dataset of fossil fuel CO2 emissions by sector (transportation, residential, tertiary, industry and sink) at 1km² and hourly resolution recently developed by Origins.earth. Estimates of CO2 emissions were retrieved from the inversion by assimilating CO2 concentration gradients between upwind-downwind stations using a refined configuration of the existing Parisian inversion system developed by Bréon et al. (2015) and Staufer et al. (2016). A set of experiments was performed to assess the sensitivity of the posterior CO2 estimates to the changes in different inversion setups, including the selection of observations, prior flux uncertainties and error correlations. We also analyzed the potential contribution of the expanding CO2 monitoring network, in particular the two newly built urban stations in the city center since 2014, to the inverse modeling systems.</p><p>The optimized CO2 estimates show decreases of around 42% and 25% in anthropogenic CO2 emissions during the first and second lockdowns respectively when compared with the same period in past two years. Both lockdown emission reduction estimates from the inversion are consistent with recent estimates from activity data (resp. 37% and 19%), suggesting that our near-real time monitoring system is able to detect and quantify short-term variations at the whole-city level.</p>

scholarly journals SAFE Acoustics: An open‐source, real‐time eco‐acoustic monitoring network in the tropical rainforests of Borneo

2020 ◽  
Vol 11 (10) ◽  
pp. 1182-1185
Author(s):  
Sarab S. Sethi ◽  
Robert M. Ewers ◽  
Nick S. Jones ◽  
Aaron Signorelli ◽  
Lorenzo Picinali ◽  
...  
Keyword(s):  
Open Source ◽  
Real Time ◽  
Monitoring Network ◽  
Acoustic Monitoring ◽  
Tropical Rainforests

Author response for "SAFE Acoustics: an open‐source, real‐time eco‐acoustic monitoring network in the tropical rainforests of Borneo"

2020 ◽  
Author(s):  
Sarab S. Sethi ◽  
Robert M. Ewers ◽  
Nick S. Jones ◽  
Aaron Signorelli ◽  
Lorenzo Picinali ◽  
...  
Keyword(s):  
Open Source ◽  
Real Time ◽  
Monitoring Network ◽  
Acoustic Monitoring ◽  
Author Response ◽  
Tropical Rainforests

Designing surface CO2 monitoring network to constrain the Indian land fluxes

2019 ◽  
Vol 218 ◽  
pp. 117003 ◽  
Author(s):  
K. Nalini ◽  
S. Sijikumar ◽  
Vinu Valsala ◽  
Yogesh K. Tiwari ◽  
Radhika Ramachandran
Keyword(s):  
Monitoring Network ◽  
Indian Land ◽  
Co2 Monitoring
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