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Environmental drivers of nitrous oxide emission factor for a coastal reservoir and its catchment areas in southeastern China

Ping Yang, Liangjuan Luo, Kam Tang Orcid Logo, Derrick Y.F. Lai, Chuan Tong, Yan Hong, Linhai Zhang

Environmental Pollution, Volume: 294, Start page: 118568

Swansea University Author: Kam Tang Orcid Logo

  • Accepted Manuscript under embargo until: 24th November 2022

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...

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Published in: Environmental Pollution
ISSN: 0269-7491
Published: Elsevier BV 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa58721
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spelling 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 College of Science 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 Under embargo Under embargo 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
author_id_str_mv 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
format Journal article
container_title Environmental Pollution
container_volume 294
container_start_page 118568
publishDate 2022
institution Swansea University
issn 0269-7491
doi_str_mv 10.1016/j.envpol.2021.118568
publisher Elsevier BV
college_str College of Science
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hierarchy_top_id collegeofscience
hierarchy_top_title College of Science
hierarchy_parent_id collegeofscience
hierarchy_parent_title College of Science
department_str Biosciences{{{_:::_}}}College of Science{{{_:::_}}}Biosciences
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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 2022-02-01T04:36:46Z
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