The Library
Data for : Integrated probe system for measuring soil carbon dioxide concentrations
Tools
Tools
Tools
Hassan, Sammy S., Mushinski, Ryan M., Amede, Tilahun, Covington, James and Bending, Gary D. (2023) Data for : Integrated probe system for measuring soil carbon dioxide concentrations. [Dataset]
![[img]](https://wrap.warwick.ac.uk/style/images/fileicons/other.png) |
Other (Deployment 1 Raw Data)
Deployment 1.xlsx - Other Available under License Creative Commons: Attribution 3.0 Intergovernmental Organisation (IGO). Download (1766Kb) |
|
Other (Deployment 2 Raw Data)
Deployment 2.xlsx - Other Available under License Creative Commons Attribution 4.0. Download (3411Kb) |
|
Other (Deployment 3 Raw Data)
Deployment 3.xlsx - Other Available under License Creative Commons Attribution 4.0. Download (3119Kb) |
Official URL: http://wrap.warwick.ac.uk/173893
Abstract
This article outlines the design and implementation of an internet-of-things (IoT) platform for the monitoring of soil carbon dioxide (CO2) concentrations. As atmospheric CO2 continues to rise, accurate accounting of major carbon sources, such as soil, is essential to inform land management and government policy. Thus, a batch of IoT-connected CO2 sensor probes were developed for soil measurement. These sensors were designed to capture spatial distribution of CO2 concen-trations across a site and communicate to a central gateway using LoRa. CO2 concentration and other environmental parameters, including temperature, humidity and volatile organic com-pound concentration, were logged locally and communicated to the user through a mobile (GSM) connection to a hosted website. Following three field deployments in summer and autumn, we observed clear depth and diurnal variation of soil CO2 concentration within woodland systems. We determined that the unit had the capacity to log data continuously for a maximum of 14 days. These low-cost systems have great potential for better accounting of soil CO2 sources over tem-poral and spatial gradients and possibly flux estimations. Future testing will focus on divergent landscapes and soil conditions.
| Item Type: | Dataset | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QH Natural history S Agriculture > S Agriculture (General) S Agriculture > SD Forestry T Technology > TA Engineering (General). Civil engineering (General) T Technology > TD Environmental technology. Sanitary engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering |
|||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) |
|||||||||
| Type of Data: | Soil Measurement Data | |||||||||
| Library of Congress Subject Headings (LCSH): | Soils -- Measurement, Soils -- Carbon content, Wireless sensor networks, Environmental monitoring, Internet of things | |||||||||
| Publisher: | University of Warwick, Department of Engineering | |||||||||
| Official Date: | 20 February 2023 | |||||||||
| Dates: |
|
|||||||||
| Status: | Not Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Media of Output (format): | .xlsx | |||||||||
| Access rights to Published version: | Open Access (Creative Commons) | |||||||||
| RIOXX Funder/Project Grant: |
|
|||||||||
| Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
