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Environmental drivers of nitrous oxide emission factor for a coastal reservoir and its catchment areas in southeastern China
Environmental Pollution, Volume: 294, Start page: 118568
Swansea University Author:
Kam Tang
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©2021 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND)
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DOI (Published version): 10.1016/j.envpol.2021.118568
Abstract
Asia is projected to be a major contributor to nitrous oxide (N2O) emission in the coming decades, but assessment of N2O budget and distribution has been hampered by low data resolution and poorly constrained emission factor (EF). Urbanized coastal reservoirs receive high nitrogen loads from diverse...
Published in: | Environmental Pollution |
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ISSN: | 0269-7491 |
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Elsevier BV
2022
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URI: | https://cronfa.swan.ac.uk/Record/cronfa58721 |
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2021-12-07T12:02:14.2685902 v2 58721 2021-11-22 Environmental drivers of nitrous oxide emission factor for a coastal reservoir and its catchment areas in southeastern China 69af43a3b9da24aef65c5d3a44956fe3 0000-0001-9427-9564 Kam Tang Kam Tang true false 2021-11-22 SBI Asia is projected to be a major contributor to nitrous oxide (N2O) emission in the coming decades, but assessment of N2O budget and distribution has been hampered by low data resolution and poorly constrained emission factor (EF). Urbanized coastal reservoirs receive high nitrogen loads from diverse sources across a heterogeneous landscape, and using a fixed EF may lead to large errors in N2O assessment. We conducted high spatial resolution sampling of dissolved N2O, nitrate-nitrogen (NO3––N) and related hydrographical parameters in Wenwusha Reservoir and its catchment areas (river, drainage channels, and aquaculture ponds) in southeastern China in November 2018, March 2019 and June 2019. The empirically derived EF (calculated as N2O-N:NO3--N) for the reservoir showed 10-fold spatial variations, ranging from 0.8×10-3 to 8.8×10-3. The average EF varied significantly among the four water types in the following descending order: aquaculture ponds > river > drainage channels > reservoir. Across all water types, EF of the summer month was 1.8–3.5 and 1.7–2.8 fold higher on average than that of autumn and spring, respectively. EF was higher in the summer likely due to elevated water temperature. Overall, the EF deviated considerably from the Intergovernmental Panel on Climate Change (IPCC) default value such that using the latter would result in over- or under-estimation of N2O emissions, sometimes by up to 42%. A new regression algorithm for EF based on water temperature, dissolved organic carbon and nitrate-nitrogen had a high and significant explanatory power (r2 = 0.82; p < 0.001), representing an improvement over the IPCC default EF for assessing N2O emission from coastal reservoirs and similar environments. Journal Article Environmental Pollution 294 118568 Elsevier BV 0269-7491 N2O; Greenhouse gas; IPCC; Spatio-temporal variation; Nitrate-nitrogen; Inland waters 1 2 2022 2022-02-01 10.1016/j.envpol.2021.118568 COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University Not Required 2021-12-07T12:02:14.2685902 2021-11-22T08:08:15.4412841 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Ping Yang 1 Liangjuan Luo 2 Kam Tang 0000-0001-9427-9564 3 Derrick Y.F. Lai 4 Chuan Tong 5 Yan Hong 6 Linhai Zhang 7 58721__21693__b9306f893ab347698079e1200dbedf4e.pdf EnvPoll_accepted.pdf 2021-11-25T15:58:32.6710706 Output 3457677 application/pdf Accepted Manuscript true 2022-11-24T00:00:00.0000000 ©2021 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true eng https://creativecommons.org/licenses/by-nc-nd/4.0/ |
title |
Environmental drivers of nitrous oxide emission factor for a coastal reservoir and its catchment areas in southeastern China |
spellingShingle |
Environmental drivers of nitrous oxide emission factor for a coastal reservoir and its catchment areas in southeastern China Kam Tang |
title_short |
Environmental drivers of nitrous oxide emission factor for a coastal reservoir and its catchment areas in southeastern China |
title_full |
Environmental drivers of nitrous oxide emission factor for a coastal reservoir and its catchment areas in southeastern China |
title_fullStr |
Environmental drivers of nitrous oxide emission factor for a coastal reservoir and its catchment areas in southeastern China |
title_full_unstemmed |
Environmental drivers of nitrous oxide emission factor for a coastal reservoir and its catchment areas in southeastern China |
title_sort |
Environmental drivers of nitrous oxide emission factor for a coastal reservoir and its catchment areas in southeastern China |
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69af43a3b9da24aef65c5d3a44956fe3 |
author_id_fullname_str_mv |
69af43a3b9da24aef65c5d3a44956fe3_***_Kam Tang |
author |
Kam Tang |
author2 |
Ping Yang Liangjuan Luo Kam Tang Derrick Y.F. Lai Chuan Tong Yan Hong Linhai Zhang |
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Environmental Pollution |
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294 |
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118568 |
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10.1016/j.envpol.2021.118568 |
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Elsevier BV |
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description |
Asia is projected to be a major contributor to nitrous oxide (N2O) emission in the coming decades, but assessment of N2O budget and distribution has been hampered by low data resolution and poorly constrained emission factor (EF). Urbanized coastal reservoirs receive high nitrogen loads from diverse sources across a heterogeneous landscape, and using a fixed EF may lead to large errors in N2O assessment. We conducted high spatial resolution sampling of dissolved N2O, nitrate-nitrogen (NO3––N) and related hydrographical parameters in Wenwusha Reservoir and its catchment areas (river, drainage channels, and aquaculture ponds) in southeastern China in November 2018, March 2019 and June 2019. The empirically derived EF (calculated as N2O-N:NO3--N) for the reservoir showed 10-fold spatial variations, ranging from 0.8×10-3 to 8.8×10-3. The average EF varied significantly among the four water types in the following descending order: aquaculture ponds > river > drainage channels > reservoir. Across all water types, EF of the summer month was 1.8–3.5 and 1.7–2.8 fold higher on average than that of autumn and spring, respectively. EF was higher in the summer likely due to elevated water temperature. Overall, the EF deviated considerably from the Intergovernmental Panel on Climate Change (IPCC) default value such that using the latter would result in over- or under-estimation of N2O emissions, sometimes by up to 42%. A new regression algorithm for EF based on water temperature, dissolved organic carbon and nitrate-nitrogen had a high and significant explanatory power (r2 = 0.82; p < 0.001), representing an improvement over the IPCC default EF for assessing N2O emission from coastal reservoirs and similar environments. |
published_date |
2022-02-01T04:15:28Z |
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1763754040428068864 |
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11.021648 |