A Review of Quantifying <i>p</i>CO<sub>2</sub> in Inland Waters with a Global Perspective: Challenges and Prospects of Implementing Remote Sensing Technology
The traditional field-based measurements of carbon dioxide (<i>p</i>CO<sub>2</sub>) for inland waters are a snapshot of the conditions on a particular site, which might not adequately represent the <i>p</i>CO<sub>2</sub> variation of the entire lake. H...
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| Format: | Article |
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MDPI AG
2021-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/23/4916 |
| _version_ | 1797507193256280064 |
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| author | Zhidan Wen Yingxin Shang Lili Lyu Sijia Li Hui Tao Kaishan Song |
| author_facet | Zhidan Wen Yingxin Shang Lili Lyu Sijia Li Hui Tao Kaishan Song |
| author_sort | Zhidan Wen |
| collection | DOAJ |
| description | The traditional field-based measurements of carbon dioxide (<i>p</i>CO<sub>2</sub>) for inland waters are a snapshot of the conditions on a particular site, which might not adequately represent the <i>p</i>CO<sub>2</sub> variation of the entire lake. However, these field measurements can be used in the <i>p</i>CO<sub>2</sub> remote sensing modeling and verification. By focusing on inland waters (including lakes, reservoirs, rivers, and streams), this paper reviews the temporal and spatial variability of <i>p</i>CO<sub>2</sub> based on published data. The results indicate the significant daily and seasonal variations in <i>p</i>CO<sub>2</sub> in lakes. Rivers and streams contain higher <i>p</i>CO<sub>2</sub> than lakes and reservoirs in the same climatic zone, and tropical waters typically exhibit higher <i>p</i>CO<sub>2</sub> than temperate, boreal, and arctic waters. Due to the temporal and spatial variations of <i>p</i>CO<sub>2</sub>, it can differ in different inland water types in the same space-time. The estimation of CO<sub>2</sub> fluxes in global inland waters showed large uncertainties with a range of 1.40–3.28 Pg C y<sup>−1</sup>. This paper also reviews existing remote sensing models/algorithms used for estimating <i>p</i>CO<sub>2</sub> in sea and coastal waters and presents some perspectives and challenges of <i>p</i>CO<sub>2</sub> estimation in inland waters using remote sensing for future studies. To overcome the uncertainties of <i>p</i>CO<sub>2</sub> and CO<sub>2</sub> emissions from inland waters at the global scale, more reliable and universal <i>p</i>CO<sub>2</sub> remote sensing models/algorithms will be needed for mapping the long-term and large-scale <i>p</i>CO<sub>2</sub> variations for inland waters. The development of inverse models based on dissolved biogeochemical processes and the machine learning algorithm based on measurement data might be more applicable over longer periods and across larger spatial scales. In addition, it should be noted that the remote sensing-retrieved <i>p</i>CO<sub>2</sub>/the CO<sub>2</sub> concentration values are the instantaneous values at the satellite transit time. A major technical challenge is in the methodology to transform the retrieved <i>p</i>CO<sub>2</sub> values on time scales from instant to days/months, which will need further investigations. Understanding the interrelated control and influence processes closely related to <i>p</i>CO<sub>2</sub> in the inland waters (including the biological activities, physical mixing, a thermodynamic process, and the air–water gas exchange) is the key to achieving remote sensing models/algorithms of <i>p</i>CO<sub>2</sub> in inland waters. This review should be useful for a general understanding of the role of inland waters in the global carbon cycle. |
| first_indexed | 2024-03-10T04:45:08Z |
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| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T04:45:08Z |
| publishDate | 2021-12-01 |
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| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-1ec9ce490ba64b6db5bcfce7e39c40f42023-11-23T02:58:24ZengMDPI AGRemote Sensing2072-42922021-12-011323491610.3390/rs13234916A Review of Quantifying <i>p</i>CO<sub>2</sub> in Inland Waters with a Global Perspective: Challenges and Prospects of Implementing Remote Sensing TechnologyZhidan Wen0Yingxin Shang1Lili Lyu2Sijia Li3Hui Tao4Kaishan Song5Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaThe traditional field-based measurements of carbon dioxide (<i>p</i>CO<sub>2</sub>) for inland waters are a snapshot of the conditions on a particular site, which might not adequately represent the <i>p</i>CO<sub>2</sub> variation of the entire lake. However, these field measurements can be used in the <i>p</i>CO<sub>2</sub> remote sensing modeling and verification. By focusing on inland waters (including lakes, reservoirs, rivers, and streams), this paper reviews the temporal and spatial variability of <i>p</i>CO<sub>2</sub> based on published data. The results indicate the significant daily and seasonal variations in <i>p</i>CO<sub>2</sub> in lakes. Rivers and streams contain higher <i>p</i>CO<sub>2</sub> than lakes and reservoirs in the same climatic zone, and tropical waters typically exhibit higher <i>p</i>CO<sub>2</sub> than temperate, boreal, and arctic waters. Due to the temporal and spatial variations of <i>p</i>CO<sub>2</sub>, it can differ in different inland water types in the same space-time. The estimation of CO<sub>2</sub> fluxes in global inland waters showed large uncertainties with a range of 1.40–3.28 Pg C y<sup>−1</sup>. This paper also reviews existing remote sensing models/algorithms used for estimating <i>p</i>CO<sub>2</sub> in sea and coastal waters and presents some perspectives and challenges of <i>p</i>CO<sub>2</sub> estimation in inland waters using remote sensing for future studies. To overcome the uncertainties of <i>p</i>CO<sub>2</sub> and CO<sub>2</sub> emissions from inland waters at the global scale, more reliable and universal <i>p</i>CO<sub>2</sub> remote sensing models/algorithms will be needed for mapping the long-term and large-scale <i>p</i>CO<sub>2</sub> variations for inland waters. The development of inverse models based on dissolved biogeochemical processes and the machine learning algorithm based on measurement data might be more applicable over longer periods and across larger spatial scales. In addition, it should be noted that the remote sensing-retrieved <i>p</i>CO<sub>2</sub>/the CO<sub>2</sub> concentration values are the instantaneous values at the satellite transit time. A major technical challenge is in the methodology to transform the retrieved <i>p</i>CO<sub>2</sub> values on time scales from instant to days/months, which will need further investigations. Understanding the interrelated control and influence processes closely related to <i>p</i>CO<sub>2</sub> in the inland waters (including the biological activities, physical mixing, a thermodynamic process, and the air–water gas exchange) is the key to achieving remote sensing models/algorithms of <i>p</i>CO<sub>2</sub> in inland waters. This review should be useful for a general understanding of the role of inland waters in the global carbon cycle.https://www.mdpi.com/2072-4292/13/23/4916<i>p</i>CO<sub>2</sub>remote sensingsatellitesinland watersCO<sub>2</sub> flux |
| spellingShingle | Zhidan Wen Yingxin Shang Lili Lyu Sijia Li Hui Tao Kaishan Song A Review of Quantifying <i>p</i>CO<sub>2</sub> in Inland Waters with a Global Perspective: Challenges and Prospects of Implementing Remote Sensing Technology Remote Sensing <i>p</i>CO<sub>2</sub> remote sensing satellites inland waters CO<sub>2</sub> flux |
| title | A Review of Quantifying <i>p</i>CO<sub>2</sub> in Inland Waters with a Global Perspective: Challenges and Prospects of Implementing Remote Sensing Technology |
| title_full | A Review of Quantifying <i>p</i>CO<sub>2</sub> in Inland Waters with a Global Perspective: Challenges and Prospects of Implementing Remote Sensing Technology |
| title_fullStr | A Review of Quantifying <i>p</i>CO<sub>2</sub> in Inland Waters with a Global Perspective: Challenges and Prospects of Implementing Remote Sensing Technology |
| title_full_unstemmed | A Review of Quantifying <i>p</i>CO<sub>2</sub> in Inland Waters with a Global Perspective: Challenges and Prospects of Implementing Remote Sensing Technology |
| title_short | A Review of Quantifying <i>p</i>CO<sub>2</sub> in Inland Waters with a Global Perspective: Challenges and Prospects of Implementing Remote Sensing Technology |
| title_sort | review of quantifying i p i co sub 2 sub in inland waters with a global perspective challenges and prospects of implementing remote sensing technology |
| topic | <i>p</i>CO<sub>2</sub> remote sensing satellites inland waters CO<sub>2</sub> flux |
| url | https://www.mdpi.com/2072-4292/13/23/4916 |
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