1
|
Ma S, Yang M, Wang F, Luo C, Xu P, Ma J, Chen X. Autochthonous organic matter input in reservoirs: Limited methane oxidation in sediments fails to suppress methane emission. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 945:174122. [PMID: 38901585 DOI: 10.1016/j.scitotenv.2024.174122] [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: 10/11/2023] [Revised: 12/04/2023] [Accepted: 06/16/2024] [Indexed: 06/22/2024]
Abstract
The interception of rivers leads to the accumulation of substantial organic matter in reservoirs, exerting a significant influence on greenhouse gas emissions. The diverse imported organic matter, coupled with sedimentary heterogeneity and intricate microbial processes, gives rise to seasonal variations in methane emissions from reservoirs. In this study, sediment cores were supplemented with terrestrial or autochthonous carbon to emulate reservoir carbon input across different seasons, thereby investigating methane emission potential and associated microbial mechanisms within the sediment cores. Results demonstrated that autochthonous organic matter enhanced sediment organic content, thereby providing more substrates for the methanogenic process and fostering the proliferation of methanogens (with a relative abundance of 47.17 % to 60.66 %). Notably, the dominant genera of Methanosaeta, Methanosarcina, and Candidatus Methanomethylicus were boost on the surface layer of sediment. Concurrently, the introduction of autochthonous organic carbon spurred an increase in methane-oxidizing microbe, reaching up to 5.59 %, with Methylobacter and Candidatus Methanoperedens as the predominant species, which led to a downward migration of the functional microbial group in the sediment. Under the priming impact of autochthonous carbon, however, the methane oxidation probably doesn't consume the substantial methane produced in sediment. Consequently, the sediment functions as a hotspot for methane release into the overlying water, highlighting the necessity to include summer as critical periods for integrated assessments, particularly during algae bloom.
Collapse
Affiliation(s)
- Shuwen Ma
- School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, Shanghai 200444, China
| | - Meilin Yang
- School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, Shanghai 200444, China
| | - Fushun Wang
- School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, Shanghai 200444, China
| | - Chai Luo
- School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, Shanghai 200444, China
| | - Peifan Xu
- School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, Shanghai 200444, China
| | - Jing Ma
- School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, Shanghai 200444, China
| | - Xueping Chen
- School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, Shanghai 200444, China.
| |
Collapse
|
2
|
Yue Z, Chen Y, Wu Z, Cheng X, Bao Z, Deng X, Shen H, Liu J, Xie P, Chen J. Thermal stratification controls taste and odour compounds by regulating the phytoplankton community in a large subtropical water source reservoir (Xin'anjiang Reservoir). JOURNAL OF HAZARDOUS MATERIALS 2024; 466:133539. [PMID: 38271873 DOI: 10.1016/j.jhazmat.2024.133539] [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: 10/24/2023] [Revised: 01/05/2024] [Accepted: 01/13/2024] [Indexed: 01/27/2024]
Abstract
2-Methylisoborneol (2-MIB) and geosmin are compounds released by algae that significantly degrade reservoir water quality, posing a threat to both the safety of drinking water and the quality of aquatic products sourced from these environments. However, few studies have explored how enhanced thermal stratification affects the occurrence and regulation of odorants in large drinking water reservoirs. Through systematic monitoring and investigation of Xin'anjiang Reservoir, we found that enhanced thermal stratification promotes filamentous cyanobacteria, particularly Leptolyngbya sp., as the primary contributor to 2-MIB production within the 1-10 m layer of the water column. The highest 2-MIB concentration, 92.5 ng/L, was recorded in the riverine region, which was 2.54 and 14.52 times higher than that in the transitional and central parts of the reservoir, respectively. Temperature indirectly impacted algal growth and odorant production by modulating TN/TP ratios. Geosmin concentration responded rapidly to relatively low TN/TP ratios (< 25). Our findings suggest that phosphorus control in estuaries should be enhanced during thermal stratification period. In summary, our study provides valuable insights to inform pragmatic water intake strategies and the distribution and release of odorants caused by thermal stratification. This is particularly relevant in the context of future global warming and extremely high temperatures during the warm season.
Collapse
Affiliation(s)
- Zhiying Yue
- Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology of China, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 10049, China
| | - Yuru Chen
- Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology of China, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; College of Fisheries and Life Science, Dalian Ocean University, Dalian 116023, China
| | - Zhixu Wu
- Hangzhou Bureau of Ecology and Environment Chun'An Branch, Hangzhou 311700, China
| | - Xinliang Cheng
- Hangzhou Bureau of Ecology and Environment Chun'An Branch, Hangzhou 311700, China
| | - Zhen Bao
- Hangzhou Ecological Environment Monitoring Center of Zhejiang, Hangzhou 311700, China
| | - Xuwei Deng
- Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology of China, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 10049, China.
| | - Hong Shen
- Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology of China, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 10049, China
| | - Jiarui Liu
- Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology of China, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 10049, China
| | - Ping Xie
- Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology of China, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 10049, China; Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming 650091, China
| | - Jun Chen
- Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology of China, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 10049, China.
| |
Collapse
|
3
|
Ma S, Yang M, Chen X, Wang F, Xia Y, Xu P, Ma J, Luo C, Zhou C, Xu T, Zhu Y. Microbial methanogenesis in aerobic water: A key driver of surface methane enrichment in a deep reservoir. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 355:120481. [PMID: 38447515 DOI: 10.1016/j.jenvman.2024.120481] [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: 12/05/2023] [Revised: 02/07/2024] [Accepted: 02/20/2024] [Indexed: 03/08/2024]
Abstract
Significant amounts of the greenhouse gas methane (CH4) are released into the atmosphere worldwide via freshwater sources. The surface methane maximum (SMM), where methane is supersaturated in surface water, has been observed in aquatic systems and contributes significantly to emissions. However, little is known about the temporal and spatial variability of SMM or the mechanisms underlying its development in artificial reservoirs. Here, the community composition of methanogens as major methane producers in the water column and the mcrA gene was investigated, and the cause of surface methane supersaturation was analyzed. In accordance with the findings, elevated methane concentration of SMM in the transition zone, with an annually methane emission flux 2.47 times higher than the reservoir average on a large and deep reservoir. In the transition zone, methanogens with mcrA gene abundances ranging from 0.5 × 103-1.45 × 104 copies/L were found. Methanobacterium, Methanoseata and Methanosarcina were the three dominate methanogens, using both acetic acid and H2/CO2 pathways. In summary, this study contributes to our comprehension of CH4 fluxes and their role in the atmospheric methane budget. Moreover, it offers biological proof of methane generation, which could aid in understanding the role of microbial methanogenesis in aerobic water.
Collapse
Affiliation(s)
- Shuwen Ma
- School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, Shanghai, 200444, China
| | - Meilin Yang
- School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, Shanghai, 200444, China
| | - Xueping Chen
- School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, Shanghai, 200444, China.
| | - Fushun Wang
- School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, Shanghai, 200444, China
| | - Yue Xia
- School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, Shanghai, 200444, China
| | - Peifan Xu
- School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, Shanghai, 200444, China
| | - Jing Ma
- School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, Shanghai, 200444, China
| | - Chai Luo
- School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, Shanghai, 200444, China
| | - Canran Zhou
- School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, Shanghai, 200444, China
| | - Tian Xu
- School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, Shanghai, 200444, China
| | - Yongguan Zhu
- State Key Lab of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China; Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
| |
Collapse
|
4
|
Zhao H, Zhou Y, Wu H, Kutser T, Han Y, Ma R, Yao Z, Zhao H, Xu P, Jiang C, Gu Q, Ma S, Wu L, Chen Y, Sheng H, Wan X, Chen W, Chen X, Bai J, Wu L, Liu Q, Sun W, Yang S, Hu M, Liu C, Liu D. Potential of Mie-Fluorescence-Raman Lidar to Profile Chlorophyll a Concentration in Inland Waters. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:14226-14236. [PMID: 37713595 DOI: 10.1021/acs.est.3c04212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/17/2023]
Abstract
Vertical distribution of phytoplankton is crucial for assessing the trophic status and primary production in inland waters. However, there is sparse information about phytoplankton vertical distribution due to the lack of sufficient measurements. Here, we report, to the best of our knowledge, the first Mie-fluorescence-Raman lidar (MFRL) measurements of continuous chlorophyll a (Chl-a) profiles as well as their parametrization in inland water. The lidar-measured Chl-a during several experiments showed good agreement with the in situ data. A case study verified that MFRL had the potential to profile the Chl-a concentration. The results revealed that the maintenance of subsurface chlorophyll maxima (SCM) was influenced by light and nutrient inputs. Furthermore, inspired by the observations from MFRL, an SCM model built upon surface Chl-a concentration and euphotic layer depth was proposed with root mean square relative difference of 16.5% compared to MFRL observations, providing the possibility to map 3D Chl-a distribution in aquatic ecosystems by integrated active-passive remote sensing technology. Profiling and modeling Chl-a concentration with MFRL are expected to be of paramount importance for monitoring inland water ecosystems and environments.
Collapse
Affiliation(s)
- Hongkai Zhao
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311200, China
| | - Yudi Zhou
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Hongda Wu
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Tiit Kutser
- Estonian Marine Institute, University of Tartu, Mäealuse 14, Tallinn 10619, Estonia
| | - Yicai Han
- Institute of Environmental Protection Science, Hangzhou 310014, China
| | - Ronghua Ma
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Ziwei Yao
- State Environmental Protection Key Laboratory of Coastal Ecosystem, Dalian 116023, China
| | - Huade Zhao
- State Environmental Protection Key Laboratory of Coastal Ecosystem, Dalian 116023, China
| | - Peituo Xu
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Chengchong Jiang
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Qiuling Gu
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Shizhe Ma
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Lingyun Wu
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Yang Chen
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Haiyan Sheng
- Institute of Environmental Protection Science, Hangzhou 310014, China
| | - Xueping Wan
- Wuxi CAS Photonics Co., Ltd., Wuxi 214135, China
| | - Wentai Chen
- Wuxi CAS Photonics Co., Ltd., Wuxi 214135, China
| | | | - Jian Bai
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Lan Wu
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Qun Liu
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
- International Research Center for Advanced Photonics, Zhejiang University, Jiaxing 314400, China
| | - Wenbo Sun
- Donghai Laboratory, Zhoushan 316021, China
| | - Suhui Yang
- School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
| | - Miao Hu
- College of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Chong Liu
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Dong Liu
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311200, China
- International Research Center for Advanced Photonics, Zhejiang University, Jiaxing 314400, China
- Jiaxing Key Laboratory of Photonic Sensing & Intelligent Imaging, Jiaxing 314000, China
| |
Collapse
|
5
|
Miao H, Zheng W, Chen X, Yu G, Li X, Chu Y, Xu P, Kubur Bokhari A, Wang F. Development of subsurface chlorophyll maximum layer and its contribution to the primary productivity of water column in a large subtropical reservoir. ENVIRONMENTAL RESEARCH 2023; 231:116118. [PMID: 37182826 DOI: 10.1016/j.envres.2023.116118] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 04/25/2023] [Accepted: 05/11/2023] [Indexed: 05/16/2023]
Abstract
The phenomenon of subsurface chlorophyll maximum (SCM) layer emerging at a certain water depth is commonly found in stratified water bodies. Also, it is a crucial contributing region to the primary productivity of the water column. Currently, there is a lack of concern about the occurrence of SCM phenomena in studies targeting inland water bodies such as natural lakes and artificial reservoirs. This led to a significant underestimation of the level of primary productivity in these water bodies and their trophic state. In this study, a subtropical reservoir (the Xinanjiang Reservoir, XAJR) was investigated, to understand the characteristics of SCM layer in deep-large reservoir and its contribution to the primary productivity of the water column. Water sampling were conducted from September 2020 to August 2021, and in September 2022. Buoy station data for this reservoir between 2019 and 2021 were also collected. Based on the detailed observations of the water column profile in riverine area (X1), transitional area (X2), and central area (X3 and X4) of this reservoir, it was found that there was an obvious SCM phenomenon, which was closely related to the characteristics of seasonal thermal stratification. The SCM layer of XAJR appeared at depth around 3-5 m underwater from May to August, and as the thermal stratification strength increased, so did the depth and thickness of the SCM layer. It was estimated that gross primary productivity of euphotic layer of XAJR ranged from 347.9 to 4508.6 mgC·m-2·d-1. The average primary productivity level of the SCM layer reached 1411.7mgC·m-2·d-1, accounting for about 40-90% of the gross primary productivity of euphotic layer. This study contributes to a better understanding of the factors influencing changes in the development of the SCM layer in large reservoirs, as well as its critical role in the inland water carbon cycle.
Collapse
Affiliation(s)
- Haocheng Miao
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, China.
| | - Wenting Zheng
- Hangzhou Ecological and Environment Monitoring Center, Zhejiang Province, Hangzhou, 310012, China.
| | - Xueping Chen
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, China.
| | - Guiying Yu
- Chun'an Ecological and Environment Monitoring Station, Hangzhou, 311799, China.
| | - Xiaoying Li
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, China.
| | - Yongsheng Chu
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, China.
| | - Peifan Xu
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, China.
| | - Abdaseed Kubur Bokhari
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, China.
| | - Fushun Wang
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, China.
| |
Collapse
|