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Li G, Zhang S, Shi X, Zhao S, Zhan L, Pan X, Zhang F, Yu H, Sun Y, Arvola L, Huotari J. Significant spatiotemporal pattern of nitrous oxide emission and its influencing factors from a shallow eutropic lake in Inner Mongolia, China. J Environ Sci (China) 2025; 149:488-499. [PMID: 39181661 DOI: 10.1016/j.jes.2024.01.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 01/10/2024] [Accepted: 01/12/2024] [Indexed: 08/27/2024]
Abstract
Eutrophic shallow lakes are generally considered as a contributor to the emission of nitrous oxide (N2O), while regional and global estimates have remained imprecise. This due to a lack of data and insufficient understanding of the multiple contributing factors. This study characterized the spatiotemporal variability in N2O concentrations and N2O diffusive fluxes and the contributing factors in Lake Wuliangsuhai, a typical shallow eutrophic and seasonally frozen lake in Inner Mongolia with cold and arid climate. Dissolved N2O concentrations of the lake exhibited a range of 4.5 to 101.2 nmol/L, displaying significant spatiotemporal variations. The lowest and highest concentrations were measured in summer and winter, respectively. The spatial distribution of N2O flux was consistent with that of N2O concentrations. Additionally, the hotspots of N2O emissions were detected within close to the main inflow of lake. The wide spatial and temporal variation in N2O emissions indicate the complexity and its relative importance of factors influencing emissions. N2O emissions in different lake zones and seasons were regulated by diverse factors. Factors influencing the spatial and temporal distribution of N2O concentrations and fluxes were identified as WT, WD, DO, Chl-a, SD and COD. Interestingly, the same factor demonstrated opposing effects on N2O emission in various seasons or zones. This research improves our understanding of N2O emissions in shallow eutrophic lakes in cold and arid areas.
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Affiliation(s)
- Guohua Li
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Sheng Zhang
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China; Inner Mongolia Water Resource Protection and Utilization Key Laboratory, Hohhot 010018, China.
| | - Xiaohong Shi
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China; Inner Mongolia Water Resource Protection and Utilization Key Laboratory, Hohhot 010018, China; State Gauge and Research Station of Wetland Ecosystem, Wuliangsuhai Lake, Bayan Nur 014404, China.
| | - Shengnan Zhao
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China; Inner Mongolia Water Resource Protection and Utilization Key Laboratory, Hohhot 010018, China
| | - Liyang Zhan
- Key Laboratory of Global Change and Marine-Atmospheric Chemistry, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
| | - Xueru Pan
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Fan Zhang
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Haifeng Yu
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Yue Sun
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Lauri Arvola
- Faculty of Biological and Environmental Sciences, Ecosystems and Environment Research Programme, Lammi Biological Station, University of Helsinki, Lammi FI-16900, Finland
| | - Jussi Huotari
- Faculty of Biological and Environmental Sciences, Ecosystems and Environment Research Programme, Lammi Biological Station, University of Helsinki, Lammi FI-16900, Finland; Masinotek Oy, Ensimmäinen Savu 2, Vantaa FI-01510, Finland
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Xie S, Xia T, Li H, Chen Y, Zhang W. Variability in N 2O emission controls among different ponds within a hilly watershed. WATER RESEARCH 2024; 267:122467. [PMID: 39316960 DOI: 10.1016/j.watres.2024.122467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 09/15/2024] [Accepted: 09/16/2024] [Indexed: 09/26/2024]
Abstract
While it is well established that small water bodies like ponds play a disproportionately large role in contributing to N2O emissions, few studies have focused on lowland ponds in hilly watersheds. Here, we explored the characteristics of N2O concentrations and emissions from various typical ponds (village, tea, forested, and aquaculture ponds) in a hilly watershed and examined the specific controls influencing N2O production. Our findings revealed that tea ponds exhibited the highest N2O flux (8.42 ± 8.23 μmol m-2 d-1), which was 2.8 to 3.3 times greater than other types of ponds. Remarkable seasonal variations were observed in tea and forested ponds due to the seasonality of nutrient-enriched runoff, whereas such variations were less pronounced in village and aquaculture ponds. Key factors such as nitrogen levels, temperature, and dissolved oxygen (DO) emerged as the primary controls of N2O concentrations in ponds, heavily influenced by land use and human activities in their drainage areas. Specifically, N2O production in tea and aquaculture ponds was driven by N inputs from fertilization and feed, respectively, while DO levels governed the process in village and forested ponds, influenced by abundant algae and forest vegetation. This study emphasizes that environmental factors predominantly drive N2O production in ponds within hilly watersheds, but land use in the pond drainages acts as an indirect yet crucial influence. This highlights the need for future research to develop targeted emission reduction strategies based on land use to effectively mitigate N2O emissions, promising a path toward more sustainable and climate-friendly watershed management.
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Affiliation(s)
- Shuyi Xie
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tianyu Xia
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Hengpeng Li
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Yongjuan Chen
- College of Civil and Architecture Engineering, Chuzhou University, Chuzhou 239000, China.
| | - Wangshou Zhang
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
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3
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Yan X, Thieu V, Garnier J. Seasonal variation in greenhouse gas concentrations and diffusive fluxes in three river-reservoir systems in the Seine Basin (France). ENVIRONMENTAL RESEARCH 2024; 257:119399. [PMID: 38866312 DOI: 10.1016/j.envres.2024.119399] [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: 01/17/2024] [Revised: 05/31/2024] [Accepted: 06/09/2024] [Indexed: 06/14/2024]
Abstract
River and reservoir ecosystems have been considered as hot spots for GHG (greenhouse gas) emissions while their specific hydrological and biogeochemical processes affect GHG concentrations; however, few studies integrated river-reservoir systems to identify the dominant drivers of GHG concentrations and flux changes associated with these systems. In the present study, we examined the seasonal variations in GHG concentrations in the surface water of three river-reservoir systems in the Seine Basin. The levels and seasonal variations of GHG concentrations exhibited distinct patterns among reservoirs, upstream, and downstream rivers. The concentrations of CH4 (methane) in the reservoirs were notably higher than those observed in both upstream and downstream rivers and showed higher values in summer and autumn, which contrasted with CO2 (carbon dioxide) concentrations, while N2O (nitrous oxide) concentrations did not show an obvious seasonal pattern. A high mole ratio of CH4/CO2 was found in these reservoirs, with a value of 0.03 and was more than 30 and 10 times higher than that in the upstream and downstream rivers, respectively. The three river-reservoir systems were oversaturated with GHG during the study period, with the average diffusive fluxes (expressed as CO2eq: CO2 equivalent) of 810 ± 1098 mg CO2eq m-2 d-1, 9920 ± 2413 mg CO2eq m-2 d-1, and 7065 ± 2704 mg CO2eq m-2 d-1 in the reservoirs, upstream and downstream rivers, respectively. CO2 and CH4-CO2 were respectively the dominant contributors to GHG diffusive fluxes in river and reservoir sections, while N2O contributed negligibly to GHG diffusive fluxes in the three river-reservoir systems. Our results showed that GHG concentrations and gas transfer coefficient have varying importance in driving GHG diffusive fluxes among different sections of the river-reservoir systems. In addition, our results also show the combined effect of reservoirs and upstream rivers on the water quality variables and hydrological characteristics of downstream rivers, highlighting the future need for additional investigations of GHG processes in the river-reservoir systems.
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Affiliation(s)
- Xingcheng Yan
- Center for Eco-Environment Research, Nanjing Hydraulic Research Institute, Nanjing 210029, China; Sorbonne Université, CNRS, UMR 7619 METIS, 4 place Jussieu, 75005, Paris, France.
| | - Vincent Thieu
- Sorbonne Université, CNRS, UMR 7619 METIS, 4 place Jussieu, 75005, Paris, France
| | - Josette Garnier
- Sorbonne Université, CNRS, UMR 7619 METIS, 4 place Jussieu, 75005, Paris, France.
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Cui G, Li XD, Li S, Ding S, Li Q, Yang M, Lv H, Wang Y. Varying water column stability controls the denitrification process in a subtropical reservoir, Southwest China. J Environ Sci (China) 2022; 111:208-219. [PMID: 34949350 DOI: 10.1016/j.jes.2021.02.034] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 02/21/2021] [Accepted: 02/21/2021] [Indexed: 06/14/2023]
Abstract
Reservoirs are regarded as hotspots of nitrogen transformation and potential sources of nitrous oxide (N2O). However, it remains unclear how the hydrological conditions due to dam construction control the processes of nitrogen transformation in reservoir waters. To address this issue, we examined the spatial-temporal characteristics of nitrate concentrations, δ15N-NO3-, δ18O-NO3-, δ18O-H2O, relative water column stability (RWCS), and related environmental factors in a subtropical eutrophic reservoir (Hongfeng Reservoir, HFR), Southwest China. We found that denitrification was the most important nitrogen transformation process in the HFR and that higher denitrification intensity was associated with increased RWCS in summer, which suggested hydrological control of the denitrification process. In contrast, low RWCS conditions favored the nitrification process in the HFR in winter. Additionally, dissolved oxygen (DO; p < 0.05) and nitrate concentrations (p < 0.01) had significant impacts on the denitrification rate. We also found that the spatiotemporal RWCS variations were a prerequisite for regulating DO/nitrate stratification and the coupling/decoupling of nitrification-denitrification at the local and global scales. This study would advances our knowledge of the impacts of RWCS and thermal stratification on nitrogen transformation processes in reservoirs.
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Affiliation(s)
- Gaoyang Cui
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Environment and Planning, Henan University, Kaifeng 475004, China; Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Xiao-Dong Li
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China; Tianjin Key Laboratory of Earth's Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin 300072, China.
| | - Siqi Li
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Shiyuan Ding
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Qinkai Li
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Mengdi Yang
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Hong Lv
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Yiyao Wang
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
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5
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Yang P, Lu M, Tang KW, Yang H, Lai DYF, Tong C, Chun KP, Zhang L, Tang C. Coastal reservoirs as a source of nitrous oxide: Spatio-temporal patterns and assessment strategy. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 790:147878. [PMID: 34090167 DOI: 10.1016/j.scitotenv.2021.147878] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 05/14/2021] [Accepted: 05/14/2021] [Indexed: 06/12/2023]
Abstract
Coastal reservoirs are widely regarded as a viable solution to the water scarcity problem faced by coastal cities with growing populations. As a result of the accumulation of anthropogenic wastes and the alteration of hydroecological processes, these reservoirs may also become the emission hotspots of nitrous oxide (N2O). Hitherto, accurate global assessment of N2O emission suffers from the scarcity and low spatio-temporal resolution of field data, especially from small coastal reservoirs with high spatial heterogeneity and multiple water sources. In this study, we measured the surface water N2O concentrations and emissions at a high spatial resolution across three seasons in a subtropical coastal reservoir in southeastern China, which was hydrochemically highly heterogeneous because of the combined influence of river runoff, aquacultural discharge, industrial discharge and municipal sewage. Both N2O concentration and emission exhibited strong spatio-temporal variations, which were correlated with nitrogen loading from the river and wastewater discharge. The mean N2O concentration and emission were found to be significantly higher in the summer than in spring and autumn. The results of redundancy analysis showed that NH4+-N explained the greatest variance in N2O emission, which implied that nitrification was the main microbial pathway for N2O production in spite of the potentially increasing importance of denitrification of NO3--N in the summer. The mean N2O emission across the whole reservoir was 107 μg m-2 h-1, which was more than an order of magnitude higher than that from global lakes and reservoirs. Based on our results of Monte Carlo simulations, a minimum of 15 sampling points per km2 would be needed to produce representative and reliable N2O estimates in such a spatially heterogeneous aquatic system. Overall, coastal reservoirs could play an increasingly important role in future climate change via their N2O emission to the atmosphere as water demand and anthropogenic pressure continue to rise.
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Affiliation(s)
- Ping Yang
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Miaohui Lu
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Kam W Tang
- Department of Biosciences, Swansea University, Swansea SA2 8PP, UK
| | - Hong Yang
- College of Environmental Science and Engineering, Fujian Normal University, Fuzhou 350007, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing 210044, China; Department of Geography and Environmental Science, University of Reading, Reading RG6 6AB, UK
| | - Derrick Y F Lai
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China
| | - Chuan Tong
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China.
| | - Kwok Pan Chun
- Department of Geography, Hong Kong Baptist University, Hong Kong, China
| | - Linhai Zhang
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Chen Tang
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
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6
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Guo X, Liu J, Liu D, Yang Z, Xiao S, Lorke A. Density currents reduce nitrous oxide emissions in a tributary bay of Three Gorges Reservoir. WATER RESEARCH 2021; 190:116750. [PMID: 33373947 DOI: 10.1016/j.watres.2020.116750] [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: 10/01/2020] [Revised: 12/09/2020] [Accepted: 12/13/2020] [Indexed: 06/12/2023]
Abstract
Reservoirs are a significant source of the potent greenhouse gas nitrous oxide (N2O), but there are few data on N2O in the world's largest reservoirs and limited understanding of the factors controlling their emission rates. Here we analyzed high-resolution measurements of dissolved N2O concentrations and fluxes in a typical tributary bay of Three Gorges Reservoir. The surface water was oversaturated in N2O during both low and high water level (8.6 -16.4 nmol/L, 107% - 180% saturation) and N2O fluxes varied nearly tenfold (0.2 and 1.6 μmol/(m2 h)). Dissolved N2O concentrations were characterized by pronounced vertical gradients, which were controlled by bidirectional density currents. The river water with high concentrations entered the bay as an underflow along the riverbed, the upper part of the water column was formed by intrusive backwater of Three Gorges Reservoir having significantly lower N2O concentrations. In consequence, the N2O emission potential of the impoundment was reduced compared to pre-impoundment conditions. These results reveal the importance of hydraulic conditions on N2O emission from large reservoirs and suggest that flow regulation can be a potential tool for mitigating greenhouse gas emissions from manmade impoundments.
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Affiliation(s)
- Xiaojuan Guo
- Hubei Field Observation and Scientific Research Stations for Water Ecosystem in Three Gorges Reservoir, China Three Gorges University, Yichang, China
| | - Jia Liu
- Hubei Field Observation and Scientific Research Stations for Water Ecosystem in Three Gorges Reservoir, China Three Gorges University, Yichang, China
| | - Defu Liu
- Hubei Field Observation and Scientific Research Stations for Water Ecosystem in Three Gorges Reservoir, China Three Gorges University, Yichang, China
| | - Zhengjian Yang
- Hubei Field Observation and Scientific Research Stations for Water Ecosystem in Three Gorges Reservoir, China Three Gorges University, Yichang, China.
| | - Shangbin Xiao
- Hubei Field Observation and Scientific Research Stations for Water Ecosystem in Three Gorges Reservoir, China Three Gorges University, Yichang, China.
| | - Andreas Lorke
- Hubei Field Observation and Scientific Research Stations for Water Ecosystem in Three Gorges Reservoir, China Three Gorges University, Yichang, China; Institute for Environmental Sciences, University of Koblenz-Landau, Landau, Germany
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Yang P, Yang H, Sardans J, Tong C, Zhao G, Peñuelas J, Li L, Zhang Y, Tan L, Chun KP, Lai DYF. Large Spatial Variations in Diffusive CH 4 Fluxes from a Subtropical Coastal Reservoir Affected by Sewage Discharge in Southeast China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020; 54:14192-14203. [PMID: 33118825 DOI: 10.1021/acs.est.0c03431] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Coastal reservoirs are potentially CH4 emission hotspots owing to their biogeochemical role as the sinks of anthropogenic carbon and nutrients. Yet, the fine-scale spatial variations in CH4 concentrations and fluxes in coastal reservoirs remain poorly understood, hampering an accurate determination of reservoir CH4 budgets. In this study, we examined the spatial variability of diffusive CH4 fluxes and their drivers at a subtropical coastal reservoir in southeast China using high spatial resolution measurements of dissolved CH4 concentrations and physicochemical properties of the surface water. Overall, this reservoir acted as a consistent source of atmospheric CH4, with a mean diffusive flux of 16.1 μmol m-2 h-1. The diffusive CH4 flux at the reservoir demonstrated considerable spatial variations, with the coefficients of variation ranging between 199 and 426% over the three seasons. The shallow water zone (comprising 23% of the reservoir area) had a disproportionately high contribution (56%) to the whole-reservoir diffusive CH4 emissions. Moreover, the mean CH4 flux in the sewage-affected sectors was significantly higher than that in the nonsewage-affected sectors. The results of bootstrap analysis further showed that increasing the sample size from 10 to 100 significantly reduced the relative standard deviation of mean diffusive CH4 flux from 73.7 to 3.4%. Our findings highlighted the role of sewage in governing the spatial variations in reservoir CH4 emissions and the importance of high spatial resolution data to improve the reliability of flux estimates for assessing the contribution of reservoirs to the regional and global CH4 budgets.
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Affiliation(s)
- Ping Yang
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, China
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Hong Yang
- College of Environmental Science and Engineering, Fujian Normal University, Fuzhou 350007, China
- Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
- Department of Geography and Environmental Science, University of Reading, Reading RG6 6AB U.K
| | - Jordi Sardans
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Catalonia 08193, Spain
- CREAF, Cerdanyola del Vallès, Catalonia 08193, Spain
| | - Chuan Tong
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, China
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Guanghui Zhao
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Josep Peñuelas
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Catalonia 08193, Spain
- CREAF, Cerdanyola del Vallès, Catalonia 08193, Spain
| | - Ling Li
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Yifei Zhang
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Lishan Tan
- School of Geographical Sciences, East China Normal University, Shanghai 200241, China
| | - Kwok Pan Chun
- Department of Geography, Hong Kong Baptist University, Hong Kong, China
| | - Derrick Y F Lai
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China
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Miao Y, Huang J, Duan H, Meng H, Wang Z, Qi T, Wu QL. Spatial and seasonal variability of nitrous oxide in a large freshwater lake in the lower reaches of the Yangtze River, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 721:137716. [PMID: 32171141 DOI: 10.1016/j.scitotenv.2020.137716] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 02/26/2020] [Accepted: 03/02/2020] [Indexed: 06/10/2023]
Abstract
Aquatic ecosystems are recognized as a source of N2O in accordance with the flux estimations of rivers and estuaries; however, limited research has been conducted on large lakes. In this study, we report the annual N2O dynamics of a large eutrophic freshwater lake located in the subtropical zone of East China. The dissolved N2O concentrations in Lake Chaohu were observed to be between 8.5 and 92.3 nmol L-1 with emission rates between 0.3 and 53.6 μmol m-2 d-1, exhibiting considerable spatiotemporal variability. The average seasonal N2O concentrations were obtained, with the highest value of 23.4 nmol L-1 found in winter and the lowest value of 12.7 nmol L-1 found in summer. In contrast to the N2O concentrations observed, the highest N2O emission rates occurred during summer, while the lowest emission rates occurred in autumn. The emissions of N2O were substantially high in the western part of the lake, which suffers from serious eutrophication. In addition, the hotspots of N2O emissions have been found around the inflowing mouth of the Nanfei River, which transports large amounts of nutrients into the lake. The results suggest that anthropogenically enhanced nutrient inputs may have a significant role in the production and emission of N2O. However, the negative relationship between the surface water temperature and the N2O concentration suggests that, N2O fluxes might be influenced by other inconspicuous mechanisms. In the future the nitrogen dynamics of water and sediment in the lake should be collated to reveal mechanisms controlling N2O emissions. In summary, Lake Chaohu acts as a source of N2O with its most eutrophic part contributing 54.9% of the total N2O emissions of the whole lake.
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Affiliation(s)
- Yuqing Miao
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China; School of Geography and Tourism, Anhui Normal University, Wuhu 241002, PR China; Anhui Province Key Laboratory of Earth Surface Processes and Regional Response in the Yangtze-Huaihe River Basin, Wuhu 241002, PR China
| | - Jing Huang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, 19 Xinjiekouwai Street, Haidian District, Beijing 100875, PR China
| | - Hongtao Duan
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China
| | - Henan Meng
- Institute of Geographical Sciences, Hebei Academy of Sciences, Shijiazhuang 050011, PR China
| | - Zuo Wang
- School of Geography and Tourism, Anhui Normal University, Wuhu 241002, PR China
| | - Tianci Qi
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China
| | - Qinglong L Wu
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China; Sino-Danish Centre for Education and Research, University of Chinese Academy of Sciences, Beijing, PR China.
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Xu H, Lu G, Xue C. Effects of Sulfamethoxazole and 2-Ethylhexyl-4-Methoxycinnamate on the Dissimilatory Nitrate Reduction Processes and N 2O Release in Sediments in the Yarlung Zangbo River. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17061822. [PMID: 32168922 PMCID: PMC7143930 DOI: 10.3390/ijerph17061822] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 03/08/2020] [Accepted: 03/09/2020] [Indexed: 12/16/2022]
Abstract
The nitrogen pollution of rivers as a global environmental problem has received great attentions in recent years. The occurrence of emerging pollutants in high-altitude rivers will inevitably affect the dissimilatory nitrate reduction processes. In this study, sediment slurry experiments combined with 15N tracer techniques were conducted to investigate the influence of pharmaceutical and personal care products (alone and in combination) on denitrification and the anaerobic ammonium oxidation (anammox) process and the resulting N2O release in the sediments of the Yarlung Zangbo River. The results showed that the denitrification rates were inhibited by sulfamethoxazole (SMX) treatments (1-100 μg L-1) and the anammox rates decreased as the SMX concentrations increased, which may be due to the inhibitory effect of this antibiotic on nitrate reducing microbes. 2-Ethylhexyl-4-methoxycinnamate (EHMC) impacted nitrogen transformation mainly though the inhibition of the anammox processes. SMX and EHMC showed a superposition effect on the denitrification processes. The expression levels of the denitrifying functional genes nirS and nosZ were decreased and N2O release was stimulated due to the presence of SMX and/or EHMC in the sediments. To the best of our knowledge, this study is the first to report the effects of EHMC and its mixtures on the dissimilatory nitrate reduction processes and N2O releases in river sediments. Our results indicated that the widespread occurrence of emerging pollutants in high-altitude rivers may disturb the nitrogen transformation processes and increase the pressure of global warming.
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Affiliation(s)
- Huiping Xu
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China;
| | - Guanghua Lu
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China;
- Water Conservancy Project & Civil Engineering College, Tibet Agriculture & Animal Husbandry University, Linzhi 860000, China;
- Correspondence: ; Tel.: +86-25-8378-7894
| | - Chenwang Xue
- Water Conservancy Project & Civil Engineering College, Tibet Agriculture & Animal Husbandry University, Linzhi 860000, China;
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10
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Liang X, Xing T, Li J, Wang B, Wang F, He C, Hou L, Li S. Control of the Hydraulic Load on Nitrous Oxide Emissions from Cascade Reservoirs. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2019; 53:11745-11754. [PMID: 31525908 DOI: 10.1021/acs.est.9b03438] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Nitrous oxide (N2O) emissions show large variability among dam reservoirs, which makes it difficult to estimate N2O contributions to global greenhouse gases (GHGs). Because river damming alters hydraulic residence time and water depth, the hydraulic load (i.e., the ratio of the mean water depth to the residence time) was hypothesized to control N2O emissions from dam reservoirs. To test this hypothesis, we investigated N2O fluxes and related parameters in the cascade reservoirs along the Wujiang River in Southwest China. The N2O fluxes showed obvious temporal and spatial variations, ranging from -7.86 to 337.22 μmol m-2 d-1, with an average of 12.76 μmol m-2 d-1. Nitrification was the main pathway of N2O production in these reservoirs, and seasonal dissolved oxygen (DO) stratification played an important role in regulating the N2O production. The reservoir N2O flux had a significant negative logarithmic relationship with the hydraulic load, suggesting its control of the N2O emission. This was because the hydraulic load was a prerequisite for regulating the nitrification-denitrification and the DO stratification in the dam reservoirs. This empirical relationship will help to estimate the contribution of reservoir N2O emissions to global GHGs.
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Affiliation(s)
- Xia Liang
- State Key Laboratory of Estuarine and Coastal Research , East China Normal University , Shanghai 200244 , China
- School of Environmental and Chemical Engineering , Shanghai University , Shanghai 200444 , China
| | - Tao Xing
- School of Environmental and Chemical Engineering , Shanghai University , Shanghai 200444 , China
| | - Junxiong Li
- School of Environmental and Chemical Engineering , Shanghai University , Shanghai 200444 , China
| | - Baoli Wang
- Institute of Surface-Earth System Science , Tianjin University , Tianjin 300072 , China
| | - Fushun Wang
- School of Environmental and Chemical Engineering , Shanghai University , Shanghai 200444 , China
| | - Chiquan He
- School of Environmental and Chemical Engineering , Shanghai University , Shanghai 200444 , China
| | - Lijun Hou
- State Key Laboratory of Estuarine and Coastal Research , East China Normal University , Shanghai 200244 , China
| | - Siliang Li
- Institute of Surface-Earth System Science , Tianjin University , Tianjin 300072 , China
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11
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Yang L. Contrasting methane emissions from upstream and downstream rivers and their associated subtropical reservoir in eastern China. Sci Rep 2019; 9:8072. [PMID: 31147573 PMCID: PMC6542851 DOI: 10.1038/s41598-019-44470-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 05/15/2019] [Indexed: 11/09/2022] Open
Abstract
Subtropical reservoirs are an important source of atmospheric methane (CH4). This study investigated the spatiotemporal variability of bubble and diffusive CH4 emissions from a subtropical reservoir, including its upstream and downstream rivers, in eastern China. There was no obvious seasonal variation in CH4 emissions from the main reservoir, which increased slightly from the first half year to the next half year. In the upstream river, CH4 emissions were low from February to June and fluctuated widely from July to January due to bubble activity. In the downstream river, CH4 emissions were lowest in February, which was possibly influenced by the low streamflow rate from the reservoir (275 m3 s-1) and a short period of mixing. There was spatial variability in CH4 emissions, where fluxes were highest from the upstream river (3.65 ± 3.24 mg CH4 m-2 h-1) and lowest from the main reservoir (0.082 ± 0.061 mg CH4 m-2 h-1), and emissions from the downstream river were 0.49 ± 0.20 mg CH4 m-2 h-1. Inflow rivers are hot spots in bubble CH4 emissions that should be examined using field-sampling strategies. This study will improve the accuracy of current and future estimations of CH4 emissions from hydroelectric systems and will help guide mitigation strategies for greenhouse gas emissions.
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Affiliation(s)
- Le Yang
- Zhejiang Academy of Forestry, Hangzhou, 310023, China.
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12
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Okuku EO, Bouillon S, Tole M, Borges AV. Diffusive emissions of methane and nitrous oxide from a cascade of tropical hydropower reservoirs in Kenya. ACTA ACUST UNITED AC 2019. [DOI: 10.1111/lre.12264] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Eric O. Okuku
- Department of Earth and Environmental Sciences Katholieke Universiteit Leuven Leuven Belgium
- Kenya Marine and Fisheries Research Institute Mombasa Kenya
| | - Steven Bouillon
- Department of Earth and Environmental Sciences Katholieke Universiteit Leuven Leuven Belgium
| | - Mwakio Tole
- School of Agriculture and Environmental Sciences, Department of Environmental Sciences Pwani University Kilifi Kenya
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13
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Cheng F, Zhang HM, Zhang GL, Liu SM, Song GD, Du GX. Distribution and emission of N 2O in the largest river-reservoir system along the Yellow River. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 666:1209-1219. [PMID: 30970486 DOI: 10.1016/j.scitotenv.2019.02.277] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 02/17/2019] [Accepted: 02/17/2019] [Indexed: 06/09/2023]
Abstract
Rivers and reservoirs are affected by human activities and are sources of the greenhouse gas nitrous oxide (N2O). Concentrations of N2O in the middle and lower reaches of the Yellow River and Xiaolangdi Reservoir, China, were measured in June and December 2017. Fluxes were estimated by boundary layer method to explore their controlling factors, especially the impact of damming and reservoir operation. In the middle and lower reaches of the Yellow River, N2O concentrations in surface waters were 26.65 ± 14.67 nmol L-1 in summer and 21.16 ± 5.35 nmol L-1 in winter. In comparison, the concentrations of N2O in the reservoir were 32.94 ± 17.32 nmol L-1 in summer and 23.73 ± 5.60 nmol L-1 in winter. The longitudinal distribution of N2O along the river exhibited different patterns with surface N2O decreasing downstream towards the dam in summer but increasing in winter. Vertical profiles of N2O concentrations in the reservoir showed an increase with depth in summer but were almost vertically uniform in winter. In winter, N2O that had accumulated in the bottom water in summer was transported to the surface by vertical mixing and released into the atmosphere. Dissolved oxygen (DO), water temperature, and in situ biological production were the main factors affecting the distribution of N2O. The mean emissions rates of N2O from the surface waters were 13.7 ± 8.8 μmol m-2 d-1 in summer and 13.2 ± 7.6 μmol m-2 d-1 in winter. Approximately 1.31 × 106 mol N2O was released from the reservoir surface in 2017, which represents 0.12% of the annual N2O emissions from global reservoirs. The construction of dams increased N2O emission from the lower reaches of the river by 4.53 × 105 mol and 1.22 × 105 mol due to the discharge of the bottom water and the water and sediment regulation, respectively. This study demonstrates that the construction of dams and reservoir operation practices have made the Xiaolangdi Reservoir a key area for N2O emissions.
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Affiliation(s)
- Fang Cheng
- Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education/Institute for Advanced Ocean Study, Ocean University of China, Qingdao 266100, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, PR China
| | - Hong-Mei Zhang
- Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education/Institute for Advanced Ocean Study, Ocean University of China, Qingdao 266100, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, PR China
| | - Gui-Ling Zhang
- Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education/Institute for Advanced Ocean Study, Ocean University of China, Qingdao 266100, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, PR China.
| | - Su-Mei Liu
- Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education/Institute for Advanced Ocean Study, Ocean University of China, Qingdao 266100, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, PR China
| | - Guo-Dong Song
- Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education/Institute for Advanced Ocean Study, Ocean University of China, Qingdao 266100, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, PR China
| | - Guan-Xiang Du
- Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education/Institute for Advanced Ocean Study, Ocean University of China, Qingdao 266100, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, PR China
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14
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Prairie YT, Alm J, Beaulieu J, Barros N, Battin T, Cole J, Del Giorgio P, DelSontro T, Guérin F, Harby A, Harrison J, Mercier-Blais S, Serça D, Sobek S, Vachon D. Greenhouse Gas Emissions from Freshwater Reservoirs: What Does the Atmosphere See? Ecosystems 2018; 21:1058-1071. [PMID: 30607138 PMCID: PMC6309167 DOI: 10.1007/s10021-017-0198-9] [Citation(s) in RCA: 77] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Freshwater reservoirs are a known source of greenhouse gas (GHG) to the atmosphere, but their quantitative significance is still only loosely con- strained. Although part of this uncertainty can be attributed to the difficulties in measuring highly variable fluxes, it is also the result of a lack of a clear accounting methodology, particularly about what constitutes new emissions and potential new sinks. In this paper, we review the main processes involved in the generation of GHG in reservoir systems and propose a simple approach to quantify the reservoir GHG footprint in terms of the net changes in GHG fluxes to the atmosphere induced by damming, that is, 'what the atmosphere sees.' The approach takes into account the pre-impoundment GHG balance of the landscape, the temporal evolution of reservoir GHG emission profile as well as the natural emissions that are displaced to or away from the reservoir site resulting from hydrological and other changes. It also clarifies the portion of the reservoir carbon burial that can potentially be considered an offset to GHG emissions.
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Affiliation(s)
- Yves T Prairie
- UNESCO Chair in Global Environmental Change, Université du Québec à Montréal, Montréal, Québec, Canada
| | - Jukka Alm
- Natural Resources Institute Finland, Helsinki, Uusima, Finland
| | - Jake Beaulieu
- United States Environmental Protection Agency, Cincinnati, Ohio, USA
| | - Nathan Barros
- Federal University of Juiz de Fora, Juiz de Fora, MG, Brazil
| | - Tom Battin
- É cole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Jonathan Cole
- Cary Institute of Ecosystem Studies, Millbrook, New York, USA
| | | | | | - Frédéric Guérin
- Géos- ciences Environnement Toulouse, CNRS, IRD, Université Paul-Sabatier, Toulouse, France
| | - Atle Harby
- SINTEF Energy Research, Trondheim, Norway
| | - John Harrison
- School of the Environment, Washington State University, Vancouver, Washington, USA
| | - Sara Mercier-Blais
- UNESCO Chair in Global Environmental Change, Université du Québec à Montréal, Montréal, Québec, Canada
| | - Dominique Serça
- Laboratoire d'Aérologie, Ob- servatoire Midi-Pyrénées, Toulouse, France
| | - Sebastian Sobek
- Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden
| | - Dominic Vachon
- Institute F.-A. Forel, Department of Sciences, University of Geneva, Geneva, Switzerland
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