象山湾大气中CH<sub>4</sub>和CO<sub>2</sub>时空分布及其同位素组成特征

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (3240 KB) HTML (0 KB)
输出: BibTeX | EndNote (RIS)

摘要海湾区域的温室气体排放对于全球变暖具有重要影响，因此本研究选取中国东部典型海湾-象山湾作为研究对象，通过对CH₄和CO₂的浓度与同位素的时空变化特征分析来揭示海岸带对全球气候变化的影响.象山湾海域低层大气中CH₄浓度变化范围为（1.72~2.17）×10^-6，平均浓度为1.82×10^-6；δ¹³C_CH₄的变化范围为-60.69‰~-41.10‰，平均值为-50.261‰；CO₂浓度变化范围为（410.3~640.3）×10^-6，平均浓度为433.294×10^-6；δ¹³C_CO₂的变化范围为-16.79‰~-2.33‰，平均值为-6.83‰.CH₄含量整体上呈湾内大于湾外、从陆地向海方向逐渐减少的趋势，表明近浅海区域是大气甲烷的源；而CO₂含量变化湾内整体呈现偏低的趋势，证明是CO₂的汇.CH₄和CO₂的浓度变化受人为因素影响较大，建筑用地和林地、耕地区域温室气体明显偏高；相反，光滩和水产养殖区域温室气体的浓度较低.同时CH₄和CO₂的浓度昼夜变化基本一致，均呈现夜间大于白天的趋势，且同位素组成与其浓度呈负相关.CH₄和CO₂的浓度昼夜变化受温度、潮汐作用、大气源汇强度等影响显著.

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	李雪
	段晓勇
	印萍
	高飞
	曹珂
	田元
	李梅娜
	刘晓凤
	吕胜华

关键词 ：象山湾, 甲烷, 二氧化碳, 浓度, 同位素

Abstract：Understanding the greenhouse gas emissions in the global Gulf region is of great significance for coping with global warming. Therefore, the Xiangshan Bay, a typical gulf, was selected to reveal the impact of coastal zone on global climate change, through analyzing the concentration changes of CH₄ and CO₂ and their relationship with meteorological elements in the bay. The data showed that the CH₄ concentrations in Xiangshan Bay area ranged from 1.72×10^-6to 2.17×10^-6, with an average concentration of 1.82×10^-6. The δ¹³C_CH₄ values range from -60.69‰ to -41.10‰, with an average value of -50.261‰. The concentrations of CO₂ range from 410.3×10^-6 to 640.883×10^-6, with an average concentration of 433.294×10^-6. The δ¹³C_CO₂ values range from -16.79‰ to -2.33‰, with an average value of -6.83‰. On the whole, the content of CH₄ in the bay was greater than that outside the bay, and gradually decreased from land to sea, indicating that the near shallow sea area was the source of atmospheric methane. The overall trend of CO₂ content variation in the bay was low, which indicates that it is the sink of CO₂. Combined with land use types, the changes of CH₄ and CO₂ concentrations were greatly affected by anthropic factors, and greenhouse gases were significantly higher in building land, forest land and cultivated land. In contrast, the concentrations of greenhouse gases were lower in the plain and aquaculture areas. At the same time, the diurnal variation of CH₄ and CO₂ concentrations was basically the same, showing a tendency of greater during daytime than that of at night, and the isotopic composition was negatively correlated with their concentrations. In terms of time distribution, the concentration of CH₄ and CO₂ is significantly affected by temperature, humidity, wind speed, tidal action, the strength of large air source and sink, and the pressure difference at the water-air interface.

Key words： Xiangshan Bay methane carbon dioxide concentration isotope

收稿日期: 2023-03-07

PACS:

X51

基金资助:国家重点科技发展计划（2022YFE0209300）；国家自然科学基金资助项目（42176091）；国家地质调查项目（DD20221775）

通讯作者: 段晓勇,副研究员,dxiaoyong@mail.cgs.gov.cn E-mail: dxiaoyong@mail.cgs.gov.cn

作者简介: 李雪(1996-),黑龙江牡丹江人,中国地质大学(武汉)博士研究生,主要研究方向海洋地质学.342099072@qq.com.

引用本文:

李雪, 段晓勇, 印萍, 高飞, 曹珂, 田元, 李梅娜, 刘晓凤, 吕胜华. 象山湾大气中CH₄和CO₂时空分布及其同位素组成特征[J]. 中国环境科学, 2023, 43(10): 5062-5069. LI Xue, DUAN Xiao-yong, YIN Ping, GAO Fei, CAO Ke, TIAN Yuan, LI Mei-na, LIU Xiao-feng, Lü Sheng-hua. Spatial and temporal variation and isotopic composition of CH₄ and CO₂ in Xiangshan Bay. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(10): 5062-5069.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2023/V43/I10/5062

[1]	IPCC.IPCC AR6[R]. 2021(August).
[2]	高兴艾,朱凌云,闫世明,等.典型高碳排放城市临汾温室气体时空分布特征及影响因素[J]. 干旱气象, 2022,40(2):256-265. Gao Xingai, Zhu Lingyun, Yan Shiming, et al. Spatio-temporal distribution characteristics of greenhouse gases and their influence factors in Linfen with typical high-carbon emission[J]. Journal of Arid Meteorology, 2022,40(2):256-265.
[3]	Delsontro T, Beaulieu J Downing J A. Greenhouse gas emissions from lakes and impoundments:Upscaling in the face of global change. Limnology and Oceanography Letters, 2018,3(64-75).
[4]	Keppler F, Hamilton J T G, Brabm, et al. 2006. Methane emissions from terrestrial plants under aerobic conditions[J]. Nature, 439:187-191.
[5]	Shen Yongping. Updating assessment results of global cryospheric change from spm of IPCC wgi fifth assessment report[J]. Journal of Glaciology and Geocryology, 2013,35(5):1065-1067.
[6]	Weber T, Wiseman N A, Kock A. Global ocean methane emissions dominated by shallow coastal waters.[J]. Nat. Commun., 2019,10:4584.
[7]	汪青,刘敏,侯立军,等.崇明东滩湿地CO2、CH4和N2O排放的时空差异[J]. 地理研究, 2010,29(5):935-946. Wang Qing, Liu Min, Hou Lijun, et al. Characteristics and influencing factors of CO2, CH4 and N2O emissions from Chongming eastern tidal flat wetland[J]. Geographical Research, 2010,29(5):935-946.
[8]	李燕丽,邢振雨,穆超,等.移动监测法测量厦门春秋季近地面CO2的时空分布[J]. 环境科学, 2014,35(55):1671-1679. Li Yanli, Xing Zhenyu, Mu Chao, et al. Spatial and Temporal Variations of Near Surface Atmospheric CO2 with Mobile Measurements in Fall and Spring in Xiamen, China[J]. Environmental Science, 2014,35(55):1671-1679.
[9]	杨舒然.中国区域尺度大气CO2与CH4及其碳同位素空间变化研究[D]. 昆明:云南大学, 2021. Yang Shuran. Spatial variations of atmospheric CO2 and CH4 concentrations and their carbon isotopes in China[D]. Kunming:Yunnan University, 2021.
[10]	陈立红,朱根海,丰卫华,等.象山港春季浮游植物与重金属分布特征及评价[C]//中国环境科学学会学术年会, 2014. Chen Lihong, Zhu Genhai, Feng Weihua. Distribution characteristics and evaluation of phytoplankton and heavy metals in Xiangshan Harbor in spring[C]//Annual Conference of China Environmental Science, 2014.
[11]	骆鑫,曾江宁,徐晓群,等.象山港浮游动物的分布特征及其中长期变化[J]. 海洋通报, 2018,37(1):74-87. Luo Xin, Zeng Jiangning, Xu Xiaoqun, et al. Distribution of zooplankton in the Xiangshan Bay and its changes during longer period[J]. Marine Science Bulletin, 2018,37(1):74-87.
[12]	徐皓,冯佰香,李加林,等.象山港潮滩沉积物有机质分布特征及物源影响分析[J]. 海洋与湖沼, 2021,52(1):97-105. Xu Hao, Feng BaiXiang, Li Jialin, et al. Source and distribution of organic matters in tidal flat of Xiangshan Bay.[J]. Oceanologia Et Limnologia Sinica, 2021,52(1):97-105.
[13]	冯辉强,周晓燕.象山港海域环境超标因子研究探讨[J]. 海洋开发与管理, 2008,(7):84-87. Feng Huiqiang, Zhou Xiaoyan. Research and discussion on environmental over standard factors in Xiangshan Port sea area[J]. Ocean Development and Management, 2008,(7):84-87.
[14]	张丽旭,赵敏,蔡燕红.象山港海域N、P和COD(Mn)的变化趋势及其与富营养化的关系[J]. 海洋环境科学, 2011,30(1):81-85. Zhang Lixu, Zhao Min, Cai Yanhong. Variation trends of N, P and COD(Mn) in Xiangshan Harbor and the relationship between them with eutrophication[J]. Marine Environmental Science, 2011,30(1):81-85.
[15]	黄秀清,齐平,秦渭华,等.象山港海洋生态环境评价方法研究[J]. 海洋学报, 2015,37(8):63-75. Huang Xiuqing, Qi Ping, Qin Weihua,et al. Research on the evaluation method of marine ecological environment in Xiangshan Bay[J]. Haiyang Xuebao, 2015,37(8):63-75.
[16]	叶林安,费岳军,王琼,等.象山港周边主要入海污染物特征研究[J]. 海洋通报, 2022,41(2):215-223. Ye Linan, Fei Yuejun, Wang Qiong, et al. Research on characteristics of main pollutants entering the sea around Xiangshan Bay[J]. Marine Science Bulletin, 2022,41(2):215-223.
[17]	谭红建,蔡榕硕,颜秀花.基于CMIP5预估21世纪中国近海海洋环境变化[J]. 应用海洋学学报, 2018,37(2):151-160. Tan Hongjian, Cai Rongshuo, Yan Xiuhua. Projecting changes of marine environment in coastal China Seas over 21st century based on CMIP5Models[J]. Journal of Applied Oceanography, 2018,37(2):151-160.
[18]	李燕丽,穆超,邓君俊.厦门秋季近郊近地面CO2浓度变化特征研究[J]. 环境科学, 2013,34(5). Li Yanli, Mu Chao, Deng Junjun, et al. Near Surface Atmospheric CO2 Variations in Autumn at Suburban Xiamen, China[J]. Environmental Science, 2013,34(5).
[19]	Wang X, Du L. Carbon emission performance of China's power industry:regional disparity and spatial analysis[J]. Journal of Industrial Ecology, 2016,21(5):21.
[20]	周旭东.城市淡水湿地二氧化碳和甲烷排放规律及影响因素探究[D]. 南京:南京信息工程大学, 2022. Zhou Xudong. Study on carbon dioxide and methane emission rules and influencing factors in urban freshwater wetlands[D]. Nanjing:Nanjing University of Information Science and Technology, 2022.
[21]	Lay J-J, Miyahara T, Noike T. Methane release rate and methanogenic bacterial populations in lake sediments[J]. Water Research, 2014, 30(4):901-908.
[22]	朱玫,田洪海,李金龙,等.大气甲烷的源和汇[J]. 环境保护科学, 1996,(2):5-9,26,78. Zhu Mei, Tian Honghai, Li Jinlong, et al. Sources and sinks of atmospheric methane[J]. Environmental protection science, 1996,(2):5-9,26,78.
[23]	Schrier-Uijl A P, Veraart A J, Leffelaar P A et, al. Release of CO2 and CH4 from lakes and drainage ditches in temperate wetlands[J]. Biogeochemistry, 2011,102(1):265-279.
[24]	Yang Ping, Tang Kam W, Tong Chuan. Changes in sediment methanogenic archaea community structure and methane production potential following conversion of coastal marsh to aquaculture ponds[J]. Environmental Pollution, 2022,305:119276.
[25]	Craig H, Chou C C, Welhan J A, et al. The isotopic composition of methane in Polar ice cores[J]. Science, 1988,242(4885):1535-1539.
[26]	杨洋,董晓波,麦榕,等.河北省中南部对流层CH4时空分布特征的飞机探测研究[J]. 中国环境科学, 2019,39(11):4604-4610. Yang Yang, Dong Xiaobo, Mai Rong, et al. Temporal and spatial distribution of tropospheric CH4 based on aircraft observation in central and southern Hebei Province[J]. China Environmental Science, 2019,39(11):4604-4610.
[27]	李晨鸣.基于移动监测数据的空气质量道路环境影响因素分析[D]. 武汉:武汉大学, 2017. Li Chenming. Analysis of factors affecting environmental air quality around road based on mobile monitoring data[D]. Wuhan:Wuhan University, 2017.
[28]	何新星,王跃思,刘广仁,等.北京大气CH4、CO2、TOC日变化规律及垂直分布的自动连续观测[J]. 中国环境监测, 2005,21(3)62-66. He Xinxing, Wang Yuesi, Liu Renguang, et al. Auto measurement of the diurnal variation and uprightness distributing of atmospheric CH4, CO2, TOC in Beijing[J]. Environmental Monitoring in China, 2005, 21(3)62-66.
[29]	Holgerson M A, Raymond P A. Large contribution to inland water CO2 and CH4 emissions from very small ponds[J]. Nature Geoscience, 2016,9(3),222-226.
[30]	廖红芳,郑忠明,REGAN Nicholaus,等.象山港大黄鱼Pseudosciaena crocea网箱养殖区沉积物-水界面营养盐通量研究[J]. 海洋学研究, 2016,34(1):84-92. Liao Hongfang, Zheng Zhongming, Regan Nicholaus, et al. Study on nutrient fluxes of sediment-water interface in cage culture zone of large yellow croaker Pseudosciaena crocea in Xiangshan Bay[J]. Journal of Marine Sciences, 2016,34(1):84-92.
[31]	Fang S X, Zhou L X Tans P P, et al. In situ measurement of atmospheric CO2 at the four WMO/GAW stations in China[J]. Atmospheric Chemistry and Physics, 2014,14(5):2541-2554.
[32]	Dai S, Bi X, Chan L Y, et al. Chemical and stable carbon isotopic composition of PM2.5from on-road vehicle emissions in the PRD region and implications for vehicle emission control policy. Atmospheric Chemistry and Physics[J], 2015,15:3097-3108.
[33]	张世勍.基于地面监测和卫星遥感的中国大气甲烷浓度时空分布及其对人为排放的响应[D]. 上海:华东师范大学, 2022. Zhang Shiqing. A study of atmospheric CH4 concentration spatio-temporal variation and its response to anthropogenic emissions in China based on the ground-based and satellite observations[D]. Shanghai:East China Normal University, 2022.
[34]	杨倩,官莉,陶法,等.中国5个大气本底站观测的CH4浓度变化规律[J]. 环境科学与技术, 2018,41(6):1-7. Yang Qian, Guan Li, Tao Fa,et al. Changes of CH4 concentrations obtained by ground-based observations at five atmospheric background stations in China[J]. Environmental Science & Technology, 2018,41(6):1-7.
[35]	李若男,王君,刘远泽,等.基于车载CO2/CH4移动观测的城市站点空间代表性和热点识别研究[J/OL]. 中国环境科学:1-15[2023-02-17]. Li Ruonan, Wang Jun, Liu Yuanze, et al. Spatial representativeness of urban observation sites and hotspot identification based on CO2/CH4 vehicle-carried mobile observations[J]. China Environmental Science, 2023,43(5):2106-2118.
[36]	程寅瑞.闽江河口短叶茳芏与互花米草潮汐沼泽甲烷排放日变化的模拟研究[D]. 福州:福建师范大学, 2019. Cheng Yanrui. Modelling the diurnal variations of methane emissions from the Cyperus malaccensis and Spartina alterniflora tidal marshes in the Minjiang River Estuary[D]. Fujian:Fujian Normal University, 2019.
[37]	张林海,等.河口湿地近地面大气CO2浓度日变化和季节变化[J]. 2014,35(3). Zhang Linhai, Tong Chuan, Zeng Congsheng. Diurnal and Seasonal Variations of Surface Atmospheric CO2 Concentration in the River Estuarine Marsh[J]. Environmental Science, 2014,35(3).
[38]	王英舜,史激光.典型草原区生长季大气CO2浓度特征分析[J]. 中国农学通报, 2010,26(13):363-365. Wang Yingshun, Shi Jiguang. The Character of Carbon Dioxide Concentration in Typical Steppe Region of the Growing Season[J]. Chinese Agricultural Science Bulletin, 2010,26(13):363-365.
[39]	李英年,徐世晓,赵亮,等.青海海北高寒湿地近地层大气CO2浓度的变化特征[J]. 干旱区资源与环境, 2007,21(6):108-113. Li Yingnian X U, Shixiao, ZHAO Liang, et al. Changes of Surface Atmospheric CO2 Concentration in Alpine Swamp of Northern Qinghai[J]. Journal of Arid Land Resources and Environment, 2007,21(6):108-113.
[40]	焦振,王传宽,王兴昌.温带落叶阔叶林冠层CO2浓度的时空变异[J]. 植物生态学报, 2011,35(5):512-522. Jiao Zhen, Wang Chuankuan, Wang Xingchang. Spatio-temporal variations of CO2 concentration within the canopy in a temperate deciduous forest, Northeast China[J]. Chinese Journal of Plant Ecology, 2011,35(5):512-522.
[41]	浦静姣,徐宏辉,顾骏强,等.长江三角洲背景地区CO2浓度变化特征研究[J]. 中国环境科学, 2012,32(6):973-979. Pu Jingjiao, Xu Honghui, Gu Junqiang,et al. Study on the concentration variation of CO2 in the background area of Yangtze River Delta.[J]. China Environmental Science, 2012,32(6):973-979.
[42]	West W E, Coloso J J, Jones S E. Effects of algal and terrestrial carbon on methane production rates and methanogen community structure in a temperate lake sediment[J]. Freshwater Biology, 2012, 57(5):949-955.
[43]	Gatland J R, Santos I R, Maher D T, et al. Carbon dioxide and methane emissions from an artificially drained coastal wetland during a flood:Implications for wetland global warming potential[J]. Journal of Geophysical Research Biogeosciences, 2015,119(8):1698-1716.
[44]	欧向军,薛丽芳.瓦里关大气CH4浓度变化及其潜在源区分析[J]. 科技导报, 2000,18(8):27-30. Zhang Fang, Zhou Lingxi, Xu Lin. Temporal variation of atmospheric CH4 and the potential source regions at Waliguan, China. Science China:Earth Sciences, 2013,56:727-736.
[45]	张芳.大气CO2、CH4和CO浓度资料再分析及源汇研究[D]. 北京:中国气象科学研究院, 2011. Zhang Fang. Re-ananlysis and evaluation of atmospheric carbon dioxide, methane and carbon monoxide at Mount Waliguan, China[D]. Beijing:school of the Chinese academy of Science, 2011.
[46]	Zhong Yong, Jin Jun Li, Yan Peng, et al. Long-term variations of major atmospheric com positions observed at the background stations in three key areas of China[J]. Advances in Climate Change Research, 2020,11:370-380.
[47]	赵竹君,陆忠奇,何清,等.阿克达拉大气本底站甲烷浓度特征及影响因素[J]. 中国环境科学, 2022,42(2):519-527. Zhao Zujun, Lu Zhongqi, He Qing, et al. Study on the concentration variation and impact factors of CH4 in Akedala atmospheric background station.[J]. China Environmental Science, 2022,42(2):519-527.