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Wang C, Xv Y, Wu Z, Li X, Li S. Denitrification regulates spatiotemporal pattern of N 2O emission in an interconnected urban river-lake network. WATER RESEARCH 2024; 251:121144. [PMID: 38277822 DOI: 10.1016/j.watres.2024.121144] [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: 03/20/2023] [Revised: 01/08/2024] [Accepted: 01/14/2024] [Indexed: 01/28/2024]
Abstract
Urban rivers are hotspots of N2O production and emission. Interconnected river-lake networks are constructed to improve the water quality and hydrodynamic conditions of urban rivers in many cities of China. However, the impact of the river-lake connectivity project on N2O production and emission remains unclear. This study investigated dissolved N2O and emission of the river-lake network in Wuhan City, China from March 2021 to December 2021. The results showed that river-lake connection greatly decreased riverine Nitrogen (N) concentration and increased dissolved oxygen (DO) concentration compare to traditional urban rivers. N2O emissions from the urban river interconnected with lakes (LUR: 67.3 ± 92.6 μmol/m2/d) were much lower than those from the traditional urban rivers (UR: 467.3 ± 1075.7 μmol/m2/d) and agricultural rivers (AR: 20.4 ± 15.3μmol/m2/d). Regression tree analysis suggested that the N2O concentrations were extremely high when hypoxia exists (DO < 1.6 mg/L), and TDN was the primary factor regulating N2O concentrations when hypoxia does not occur. Thus, we ascribe the low N2O emission in the LUR and AR to the lower N contents and higher DO concentrations. The microbial process of N2O production and consumption were quantitatively estimated by isotopic models. The mean proportion of denitrification derived N2O (fbD) was 63.5 %, 55.6 %, 42.3 % and 42.7 % in the UR, LUR, lakes and AR, suggested denitrification dominated N2O production in the urban rivers, but nitrification dominated N2O production in the lakes and AR. The positive correlation between logN2O and fbD suggested that denitrification is the key process to regulate the N2O production and emission. The abundance of denitrification genes (nirS and nirK) was much higher than that of nitrification genes (amoA and amoB), also evidenced that denitrification was the main N2O source. Therefore, river-lake interconnected projects changed the nutrients level and hypoxic condition, leading to the inhibition of denitrification and nitrification, and ultimately resulting in a decrease of N2O production and emission. These results advance the knowledge on the microbial processes that regulate N2O emissions in inland waters and illustrate the integrated management of water quality and N2O emission.
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Affiliation(s)
- Chunlin Wang
- Institute of Changjiang Water Environment and Ecological Security, School of Environmental Ecology and Biological Engineering, Key Laboratory for Green Chemical Process of Ministry of Education, Engineering Research Center of Phosphorus Resources Development and Utilization of Ministry of Education, Hubei Key Laboratory of Novel Reactor and Green Chemical Technology, Wuhan Institute of Technology, 206 Guanggu 1st Road, Wuhan 430205, China
| | - Yuhan Xv
- Institute of Changjiang Water Environment and Ecological Security, School of Environmental Ecology and Biological Engineering, Key Laboratory for Green Chemical Process of Ministry of Education, Engineering Research Center of Phosphorus Resources Development and Utilization of Ministry of Education, Hubei Key Laboratory of Novel Reactor and Green Chemical Technology, Wuhan Institute of Technology, 206 Guanggu 1st Road, Wuhan 430205, China
| | - Zefeng Wu
- Institute of Changjiang Water Environment and Ecological Security, School of Environmental Ecology and Biological Engineering, Key Laboratory for Green Chemical Process of Ministry of Education, Engineering Research Center of Phosphorus Resources Development and Utilization of Ministry of Education, Hubei Key Laboratory of Novel Reactor and Green Chemical Technology, Wuhan Institute of Technology, 206 Guanggu 1st Road, Wuhan 430205, China
| | - Xing Li
- Institute of Changjiang Water Environment and Ecological Security, School of Environmental Ecology and Biological Engineering, Key Laboratory for Green Chemical Process of Ministry of Education, Engineering Research Center of Phosphorus Resources Development and Utilization of Ministry of Education, Hubei Key Laboratory of Novel Reactor and Green Chemical Technology, Wuhan Institute of Technology, 206 Guanggu 1st Road, Wuhan 430205, China.
| | - Siyue Li
- Institute of Changjiang Water Environment and Ecological Security, School of Environmental Ecology and Biological Engineering, Key Laboratory for Green Chemical Process of Ministry of Education, Engineering Research Center of Phosphorus Resources Development and Utilization of Ministry of Education, Hubei Key Laboratory of Novel Reactor and Green Chemical Technology, Wuhan Institute of Technology, 206 Guanggu 1st Road, Wuhan 430205, China.
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Jin Y, Jin K, Chen X, Guan H, Hu T, Zhao H, Li Z, Xu S. Spatiotemporal variability and environmental effects of greenhouse gases, nutrients, and dissolved carbons in an ice-covered reservoir. ENVIRONMENTAL RESEARCH 2023; 239:117375. [PMID: 37839530 DOI: 10.1016/j.envres.2023.117375] [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: 08/08/2023] [Revised: 10/09/2023] [Accepted: 10/10/2023] [Indexed: 10/17/2023]
Abstract
Ice cover restructures the distribution of substances in ice and underlying water and poses non-negligible environmental effects. This study aimed to clarify the spatiotemporal variability and environmental effects of methane (CH4), nitrous oxide (N2O), total nitrogen (TN), total phosphorus (TP), dissolved organic carbon (DOC), and dissolved inorganic carbon (DIC) in ice and water columns during different ice-covered periods. We surveyed the ice-growth, ice-stability, and ice-melt periods in an ice-covered reservoir located in Northeast China. The results showed that underlying water (CH4: 1218.9 ± 2678.9 nmol L-1 and N2O: 19.3 ± 7.3 nmol L-1) and ice (CH4: 535.2 ± 2373.1 nmol L-1 and N2O: 9.9 ± 1.5 nmol L-1) were sources of atmospheric greenhouse gases. N2O concentrations were the highest in the bottom water of the reservoir while CH4 accumulated the most below the ice in the riverine zone. These can be attributed to differences in the solubilities and relative molecular masses of the two gases. Higher concentrations of N2O, TN, TP, DOC, and DIC were recorded in the underlying water than those in the ice due to the preferential redistribution of these substances in the aqueous phase during ice formation. Additionally, we distinguished between bubble and no-bubble areas in the riverine zone and found that the higher CH4 concentrations in the underlying water than those in the ice were due to CH4 bubbles. In addition, we reviewed various substances in ice-water systems and found that the substances in ice-water systems can be divided into solute exclusion and particle entrapment, which are attributed to differences between dissolved and particulate states. These findings are important for a comprehensive understanding of substances dynamics during ice-covered periods.
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Affiliation(s)
- Ye Jin
- School of Hydraulic Engineering, Dalian University of Technology, No.2 Linggong Road, Ganjingzi District, Dalian, Liaoning Province, 116024, China.
| | - Kang Jin
- School of Hydraulic Engineering, Dalian University of Technology, No.2 Linggong Road, Ganjingzi District, Dalian, Liaoning Province, 116024, China.
| | - Xiaoqiang Chen
- School of Hydraulic Engineering, Dalian University of Technology, No.2 Linggong Road, Ganjingzi District, Dalian, Liaoning Province, 116024, China.
| | - Haopeng Guan
- School of Hydraulic Engineering, Dalian University of Technology, No.2 Linggong Road, Ganjingzi District, Dalian, Liaoning Province, 116024, China.
| | - Tianchao Hu
- School of Hydraulic Engineering, Dalian University of Technology, No.2 Linggong Road, Ganjingzi District, Dalian, Liaoning Province, 116024, China.
| | - Huade Zhao
- College of Ecology and Environment, Hainan University, School of Marine Science and Engineering, No.58 Renmin Road, Haikou, Hainan Province, 570228, China.
| | - Zhijun Li
- School of Hydraulic Engineering, Dalian University of Technology, No.2 Linggong Road, Ganjingzi District, Dalian, Liaoning Province, 116024, China; State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, 116024, China.
| | - Shiguo Xu
- School of Hydraulic Engineering, Dalian University of Technology, No.2 Linggong Road, Ganjingzi District, Dalian, Liaoning Province, 116024, China.
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Li X, He Y, Wang X, Chen H, Liu T, Que Y, Yuan X, Wu S, Zhou T. Watershed urbanization dominated the spatiotemporal pattern of riverine methane emissions: Evidence from montanic streams that drain different landscapes in Southwest China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 873:162343. [PMID: 36813197 DOI: 10.1016/j.scitotenv.2023.162343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 02/15/2023] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
Methane (CH4) emissions from streams are an important component of the global carbon budget of freshwater ecosystems, but these emissions are highly variable and uncertain at the temporal and spatial scales associated with watershed urbanization. In this study, we conducted investigations of dissolved CH4 concentrations and fluxes and related environmental parameters at high spatiotemporal resolution in three montanic streams that drain different landscapes in Southwest China. We found that the average CH4 concentrations and fluxes in the highly urbanized stream (2049 ± 2164 nmol L-1 and 11.95 ± 11.75 mmol·m-2·d-1) were much higher than those in the suburban stream (1021 ± 1183 nmol L-1 and 3.29 ± 3.66 mmol·m-2·d-1) and were approximately 12.3 and 27.8 times those in the rural stream, respectively. It provides powerful evidence that watershed urbanization strongly enhances riverine CH4 emission potential. Temporal patterns of CH4 concentrations and fluxes and their controls were not consistent among the three streams. Seasonal CH4 concentrations in the urbanized streams had negative exponential relationships with monthly precipitation and demonstrated greater sensitivity to rainfall dilution than to the temperature priming effect. Additionally, the CH4 concentrations in the urban and semiurban streams showed strong, but opposite, longitudinal patterns, which were closely related to urban distribution patterns and the HAILS (human activity intensity of the land surface) within the watersheds. High carbon and nitrogen loads from sewage discharge in urban areas and the spatial arrangement of the sewage drainage contributed to the different spatial patterns of the CH4 emissions in different urbanized streams. Moreover, CH4 concentrations in the rural stream were mainly controlled by pH and inorganic nitrogen (NH4+ and NO3-), while urban and semiurban streams were dominated by total organic carbon and nitrogen. We highlighted that rapid urban expansion in montanic small catchments will substantially enhance riverine CH4 concentrations and fluxes and dominate their spatiotemporal pattern and regulatory mechanisms. Future work should consider the spatiotemporal patterns of such urban-disturbed riverine CH4 emissions and focus on the relationship between urban activities with aquatic carbon emissions.
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Affiliation(s)
- Xianxiang Li
- Chongqing Key Laboratory of Wetland Science Research of the Upper Reaches of the Yangtze River, Chongqing 401331, China; Chongqing Observation and Research Station of Earth Surface Ecological Processes in Three Gorges Reservoir Area, Chongqing 405400, China; School of Geography and Tourism, Chongqing Normal University, Chongqing 400047, China
| | - Yixin He
- Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization, Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China; Zoige Peatland and Global Change Research Station, Chinese Academy of Sciences, Hongyuan 624400, China
| | - Xiaofeng Wang
- Chongqing Key Laboratory of Wetland Science Research of the Upper Reaches of the Yangtze River, Chongqing 401331, China; Chongqing Observation and Research Station of Earth Surface Ecological Processes in Three Gorges Reservoir Area, Chongqing 405400, China; School of Geography and Tourism, Chongqing Normal University, Chongqing 400047, China.
| | - Huai Chen
- Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization, Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China; Zoige Peatland and Global Change Research Station, Chinese Academy of Sciences, Hongyuan 624400, China
| | - Tingting Liu
- Chongqing Key Laboratory of Wetland Science Research of the Upper Reaches of the Yangtze River, Chongqing 401331, China; East China Normal University, Shanghai 200241, China
| | - Yizi Que
- Chongqing Key Laboratory of Wetland Science Research of the Upper Reaches of the Yangtze River, Chongqing 401331, China; Chongqing Observation and Research Station of Earth Surface Ecological Processes in Three Gorges Reservoir Area, Chongqing 405400, China; School of Geography and Tourism, Chongqing Normal University, Chongqing 400047, China
| | - Xingzhong Yuan
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400030, China
| | - Shengnan Wu
- Chongqing Observation and Research Station of Earth Surface Ecological Processes in Three Gorges Reservoir Area, Chongqing 405400, China; East China Normal University, Shanghai 200241, China
| | - Ting Zhou
- Chongqing Key Laboratory of Wetland Science Research of the Upper Reaches of the Yangtze River, Chongqing 401331, China; Chongqing Observation and Research Station of Earth Surface Ecological Processes in Three Gorges Reservoir Area, Chongqing 405400, China; School of Geography and Tourism, Chongqing Normal University, Chongqing 400047, China
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Taniwaki RH, Cunha DGF, Bento CB, Martinelli LA, Stanley EH, Filoso S, Ferreira MDS, França MV, Ribeiro Júnior JW, Schiesari LC, do Carmo JB. Methane concentrations and fluxes in agricultural and preserved tropical headwater streams. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 844:157238. [PMID: 35810907 DOI: 10.1016/j.scitotenv.2022.157238] [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: 05/04/2022] [Revised: 06/30/2022] [Accepted: 07/04/2022] [Indexed: 06/15/2023]
Abstract
Tropical streams have been intensively impacted by agricultural activities. Among the most important agricultural activities in Brazil, sugarcane production represents a large impact for economic development and for environmental conditions. Permeating sugarcane fields, several headwater streams can be affected by sugarcane cultivation, in special, aquatic biogeochemical cycles because of the deforestation, fertilization, crop residues and higher temperatures in the tropics. In this study, we analyzed the effects of sugarcane cultivation on methane fluxes and concentrations, assuming that carbon cycles are influenced by agricultural activities in headwater streams. Our study aimed to (1) measure methane fluxes and concentrations in tropical streams located in Southeastern Brazil, (2) Analyze whether seasonal cycles influence methane fluxes and concentrations, (3) Evaluate the influence of sugarcane cultivation on methane fluxes and (4) Analyze the association between water chemistry in the methane concentrations in tropical streams. We found mean fluxes of CH4 of 0.280 mmol m-2 d-1, with higher fluxes during the summer and in streams draining preserved catchments. The average CH4 concentrations were 0.695 μmol L-1, with higher values during the summer and in streams draining preserved catchments. Methane concentrations in the studied streams was influenced by dissolved oxygen (negatively), dissolved organic carbon (negatively), water velocity (positively) and conductivity (negatively). Methane concentrations were significantly higher than concentrations found in Temperate Grasslands, Savannas & Shrublands and similar to concentrations found in other tropical biomes (excluding Tropical & Subtropical Moist Broadleaf Forests which receives large amounts of organic inputs). We conclude that sugarcane influence methane concentrations and fluxes in tropical streams by reducing the organic matter availability provided by the native vegetation in soil and water.
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Affiliation(s)
- Ricardo Hideo Taniwaki
- Center for Engineering, Modelling and Applied Social Sciences, Federal University of ABC, Santo Andre, SP, Brazil; Center for Limnology, University of Wisconsin-Madison, Madison, WI, USA.
| | - Davi Gasparini Fernandes Cunha
- Departamento de Hidráulica e Saneamento, Escola de Engenharia de São Carlos, Universidade de São Paulo, São Carlos, SP, Brazil
| | - Camila Bolfarini Bento
- Graduate Program in Biotechnology and Environmental Monitoring, Federal University of São Carlos, Sorocaba, SP, Brazil
| | - Luiz Antonio Martinelli
- Isotopic Ecology Laboratory, Center of Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, SP, Brazil
| | - Emily H Stanley
- Center for Limnology, University of Wisconsin-Madison, Madison, WI, USA
| | - Solange Filoso
- Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, MD, USA
| | - Murilo de Souza Ferreira
- Departamento de Hidráulica e Saneamento, Escola de Engenharia de São Carlos, Universidade de São Paulo, São Carlos, SP, Brazil
| | - Marcus Vinícius França
- Center for Engineering, Modelling and Applied Social Sciences, Federal University of ABC, Santo Andre, SP, Brazil
| | - José Wagner Ribeiro Júnior
- Instituto de Biociências, Universidade Estadual Paulista (Unesp), Rio Claro, São Paulo 13506-900, Brazil
| | - Luis César Schiesari
- Escola de Artes, Ciências e Humanidades, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Janaína Braga do Carmo
- Graduate Program in Biotechnology and Environmental Monitoring, Federal University of São Carlos, Sorocaba, SP, Brazil
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Wang R, Zhang H, Zhang W, Zheng X, Butterbach-Bahl K, Li S, Han S. An urban polluted river as a significant hotspot for water-atmosphere exchange of CH 4 and N 2O. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 264:114770. [PMID: 32559861 DOI: 10.1016/j.envpol.2020.114770] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 04/12/2020] [Accepted: 05/06/2020] [Indexed: 06/11/2023]
Abstract
Polluted urban river systems might be a strong source of atmospheric methane (CH4) and nitrous oxide (N2O), but so far only a few urban river systems have been quantified with regard to their source strength for greenhouse gases (GHGs). In this study, we measured loads of dissolved inorganic nitrogen and organic carbon, dissolved oxygen (DO) concentrations, and fluxes of CH4 and N2O from an urban river in Beijing, China during the course of an entire year. Fluxes calculated using the floating chamber approach or via the diffusion method with measurements of river water GHG concentrations showed comparable temporal variations. However, the flux magnitude based on the diffusion method was found to strongly depend on the underlying parameterization of the gas transfer velocity. In view of the large differences while applying different methodologies to estimate surface water GHG fluxes further studies are still needed to prove and eventually quantify the systematic errors which are likely caused by either the chamber technique or the approaches of individual diffusion models. For both the floating chamber and the diffusion-based flux estimates, strong seasonal variations in CH4 and N2O fluxes from the river surface were observed, with fluxes ranging from 3 to 8374 μg C m-2 h-1 for CH4 and 1-3986 μg N m-2 h-1 for N2O. The CH4 fluxes were strongly negatively correlated with the DO concentration (P < 0.01). The highest N2O fluxes were observed at times with low CH4 fluxes (i.e., in spring and autumn). Annual CH4 and N2O fluxes totaled 19.3-79.4 and 17.4-44.8 kg C (N) ha-1 yr-1, respectively. These high fluxes are in agreement with estimates from the few other studies carried out for urban river systems to date and indicate that urban polluted river systems are a significant regional source of atmospheric GHGs.
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Affiliation(s)
- Rui Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP-CAS), Beijing, 100029, PR China
| | - Han Zhang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP-CAS), Beijing, 100029, PR China; School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, PR China
| | - Wei Zhang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP-CAS), Beijing, 100029, PR China.
| | - Xunhua Zheng
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP-CAS), Beijing, 100029, PR China; College of Earth and Planetary Science, University of Chinese Academy of Sciences, Beijing, 100049, PR China
| | - Klaus Butterbach-Bahl
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP-CAS), Beijing, 100029, PR China; Institute of Meteorology and Climate Research, Atmospheric Environmental Research, Karlsruhe Institute of Technology, Garmisch-Partenkirchen, 82467, Germany
| | - Siqi Li
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP-CAS), Beijing, 100029, PR China
| | - Shenghui Han
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP-CAS), Beijing, 100029, PR China
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