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Qiu Y, Felix JD, Murgulet D, Wetz M, Abdulla H. Isotopic compositions of organic and inorganic nitrogen reveal processing and source dynamics at septic influenced and undeveloped estuary sites. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 925:171749. [PMID: 38494009 DOI: 10.1016/j.scitotenv.2024.171749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 02/21/2024] [Accepted: 03/14/2024] [Indexed: 03/19/2024]
Abstract
Historically, dissolved organic nitrogen (DON) has not been characterized in the nitrogen profiles of most estuaries despite its significant contribution to total nitrogen and projected increase in loading. The characterization of dissolved inorganic nitrogen (DIN) and DON processing from groundwater to surface water also remains unconstrained. This study attempts to fill in these knowledge gaps by quantifying the DON pool and potential sources in a semiarid, low inflow estuary (Baffin Bay, Texas) using stable isotope techniques. High NO3- and DON concentrations, and high δ15N-NH4+ (+55.0 ± 56.7 ‰), δ15N-NO3- (+23.9 ± 8.6 ‰) and δ15N-DON (+22.3 ± 6.5 ‰) were observed in groundwaters of a septic-influenced estuarine area, indicating coupled septic contamination and nitrification/denitrification. In contrast, groundwater of an undeveloped area provided evidence of inundation by bay water through high NH4+ concentrations and δ15N-NH4+ (+8.4 ± 3.0 ‰) resembling estuary porewater. NH4+ was the dominant nitrogen species in porewater of both areas and δ15N-NH4+ indicated production via organic nitrogen mineralization and dissimilatory nitrate reduction to ammonium. Surface water had similar nitrogen profiles (DON constituted ∼98 % of dissolved nitrogen pool) and potential source contributions, despite distinct nitrogen processing and profiles found in each water table. This was attributed to low nitrogen removal rates and prolonged mixing associated with long residence time. This study emphasizes the importance of DON in a low-inflow estuary and the isotopic approach to comprehensively examine both inorganic and organic N processing and sources serving as a guide to investigate N cycling in high DON estuaries globally.
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Affiliation(s)
- Yixi Qiu
- Center for Water Supply Studies, Department of Physical and Environmental Science, Texas A&M University-Corpus Christi, Corpus Christi, TX 78412, USA; Department of Integrative Biology, Michigan State University, East Lansing, MI 48824, USA.
| | - J David Felix
- Center for Water Supply Studies, Department of Physical and Environmental Science, Texas A&M University-Corpus Christi, Corpus Christi, TX 78412, USA
| | - Dorina Murgulet
- Center for Water Supply Studies, Department of Physical and Environmental Science, Texas A&M University-Corpus Christi, Corpus Christi, TX 78412, USA
| | - Michael Wetz
- Harte Research Institute for Gulf of Mexico Studies, Texas A&M University-Corpus Christi, Corpus Christi, TX 78412, USA
| | - Hussain Abdulla
- Center for Water Supply Studies, Department of Physical and Environmental Science, Texas A&M University-Corpus Christi, Corpus Christi, TX 78412, USA
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Yan Z, Xin Y, Zhong X, Yi Y, Li P, Wang Y, Zhou Y, He Y, He C, Shi Q, Xu W, He D. Evolution of dissolved organic nitrogen chemistry during transportation to the marginal sea: Insights from nitrogen isotope and molecular composition analyses. WATER RESEARCH 2024; 249:120942. [PMID: 38043348 DOI: 10.1016/j.watres.2023.120942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 11/25/2023] [Accepted: 11/28/2023] [Indexed: 12/05/2023]
Abstract
Estuaries are hotspots where terrestrially originated dissolved organic matter (DOM) is modified in molecular composition before entering marine environments. However, very few research has considered nitrogen (N) modifications of DOM molecules in estuaries, limiting our understanding of dissolved organic nitrogen (DON) cycling and the associated carbon cycling in estuaries. This study integrated optical, stable isotopes (δ15N and δ13C) and molecular composition (FT-ICR MS) to characterize the transformation of DOM in the Yangtze River Estuary. Both concentration of dissolved organic carbon (DOC) and DON decreased with increasing salinity, while their δ13C and δ15N increased with the increasing salinity. A significant positive correlation was found between δ15N and δ13C during the transportation of DOM to marginal seas, indicating that the behavior of both DOC and DON are primarily controlled by the mixing of freshwater and the seawater in the YRE. During the mixing process, the DON addition was observed using the conservative mixing curves. In the view of molecular composition, DOM molecules became more aromatic as the number of N atoms increased. Spearman correlations reveal that DOM molecules with fewer N atoms exhibited a higher enrichment in protein-like components, while those with more N atoms were more enriched in humic-like components. In addition, the δ15N and δ13C tended to increase as the N content of DOM decreased. Therefore, DON molecules with fewer N atoms were likely to be transformed into those with more N atoms based on the isotopic fractionation theory. This study establishes a linkage between the molecular composition and the δ15N of DOM, and discovers the N transformation pattern within DOM molecules during the transportation to marginal seas.
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Affiliation(s)
- Zhenwei Yan
- Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Hong Kong, China; Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Institute for Advanced Ocean Study, Ocean University of China, Qingdao, Shandong, China
| | - Yu Xin
- Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Institute for Advanced Ocean Study, Ocean University of China, Qingdao, Shandong, China.
| | - Xiaosong Zhong
- Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Institute for Advanced Ocean Study, Ocean University of China, Qingdao, Shandong, China; Research Center for Marine Ecology, First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China
| | - Yuanbi Yi
- Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Penghui Li
- School of Marine Sciences, Sun Yat-Sen University, Zhuhai, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Zhuhai, China
| | - Yuntao Wang
- State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
| | - Yuping Zhou
- School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, China
| | - Yuhe He
- State Key Laboratory of Marine Pollution, City University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Chen He
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing, China
| | - Quan Shi
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing, China
| | - Wenqi Xu
- Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Institute for Advanced Ocean Study, Ocean University of China, Qingdao, Shandong, China
| | - Ding He
- Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Hong Kong, China; State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China; State Key Laboratory of Marine Pollution, City University of Hong Kong, Hong Kong, Hong Kong SAR, China.
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Dong J, Zhao X, Liu C, Huang Z, Qadeer A, Zhu Y, Wang H, Zheng B. Multi-isotope tracing nitrate dynamics and sources during thermal stratification in a deep reservoir. CHEMOSPHERE 2022; 307:135816. [PMID: 35948094 DOI: 10.1016/j.chemosphere.2022.135816] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 07/11/2022] [Accepted: 07/20/2022] [Indexed: 06/15/2023]
Abstract
Excessive nitrate (NO3-) input to reservoirs is a global concern. However, the dynamics and sources of NO3- under thermal stratification in deep reservoirs were rarely explored. In this study, multi-stable isotopes (δ15N/δ18O-NO3-, δ15N-particulate nitrogen (PN), δ15N-dissolved total nitrogen (DTN), and δ2H/δ18O-H2O) and a Bayesian mixing model were applied to reveal the biogeochemical processes and sources of NO3- in a deep reservoir with obvious nitrogen pollution. The results showed that the reservoir was thermally stratified in July while vertically mixed in October. The distribution of δ2H-H2O suggested that riverine nitrogen migrated to the epilimnion and metalimnion during stratification in the reservoir. In the epilimnion and metalimnion, the significant reduction in NO3- concentration was related to the enhancement of assimilation by thermal stratification. Meanwhile, the positive linear correlations between δ18O-NO3- and δ18O-H2O suggested that in-reservoir nitrification occurred, with its depth confined above the hypolimnion. In the hypolimnion, denitrification processes were absent due to the aerobic environment. Overall, NO3- dynamics were mainly controlled by nitrogen inflow, in-reservoir nitrification, and assimilation during thermal stratification. The results of the Bayesian mixing model showed that manure and sewage, and soil nitrogen were the dominant NO3- sources of the reservoir. This study provides new insights and data to help manage and restore deep waters worldwide in tackling a similar situation of nitrogen contamination.
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Affiliation(s)
- Jing Dong
- State Key Laboratory of Environmental Criteria and Risk Assessment, National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; School of Environment, Tsinghua University, Beijing, 100084, China
| | - Xingru Zhao
- State Key Laboratory of Environmental Criteria and Risk Assessment, National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
| | - Chengyou Liu
- State Key Laboratory of Environmental Criteria and Risk Assessment, National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Zhifeng Huang
- State Key Laboratory of Environmental Criteria and Risk Assessment, National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Abdul Qadeer
- State Key Laboratory of Environmental Criteria and Risk Assessment, National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Yumeng Zhu
- Sichuan Academy of Environmental Sciences, Chengdu, 610041, China
| | - Hui Wang
- School of Environment, Tsinghua University, Beijing, 100084, China
| | - Binghui Zheng
- State Key Laboratory of Environmental Criteria and Risk Assessment, National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
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