中国环境科学
 
 
中国环境科学  2022, Vol. 42 Issue (1): 425-433    DOI:
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巢湖二氧化碳排放特征及其潜在影响因素
李宇阳1,2, 朱俊羽1, 俞晓琴1, 陈慧敏1, 郭燕妮1, 周永强1,3, 周蕾1,3
1. 中国科学院南京地理与湖泊研究所, 江苏 南京 210008;
2. 南昌大学资源环境与化工学院, 鄱阳湖环境与资源利用教育部重点实验室, 江西 南昌 330031;
3. 中国科学院大学, 北京 100049
Emission of carbon dioxide from Lake Chaohu and the potential influencing factors
LI Yu-yang1,2, ZHU Jun-yu1, YU Xiao-qin1, CHEN Hui-min1, GUO Yan-ni1, ZHOU Yong-qiang1,3, ZHOU Lei1,3
1. Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
2. Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, School of Resources Environmental & Chemical Engineering, Nanchang University, Nanchang 330031, China;
3. University of Chinese Academy of Sciences, Beijing 100049, China

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摘要 为探讨浅水湖泊CO2排放的时空格局及与CDOM来源组成潜在关联机制, 于1月(枯水期)、4月(平水期)、7月(丰水期)不同水文情景下富营养浅水巢湖进行野外观测, 采用扩散系数—顶空瓶法观测表层水体CO2浓度(cCO2)和通量(FCO2), 并探讨CO2排放的潜在驱动因素, 尤其是对CDOM来源组成的响应机制.结果表明, 巢湖全湖区cCO2均值表现为丰水期((51.9±71.8)μmol/L)>平水期((48.9±29.0)μmol/L)>枯水期((35.2±15.6)μmol/L), 对应FCO2均值丰水期((219.3±275.5)mg/(m2·d))与平水期((219.9±157.8)mg/(m2·d))无显著差异, 枯水期通量最低((-98.8 ±20.1) mg/(m2·d)).丰水期cCO2FCO2空间上均表现为西部>中部>东部湖区, 这与丰水季节巢湖西部十五里河与南淝河等主要入湖河口区外源有机质大量输入在此堆积并快速降解息息相关.DO与cCO2(P<0.05)、FCO2(P<0.001)在西部湖区均呈显著负相关; 全湖DOC、Chl-a浓度与cCO2(P<0.01)、FCO2(P<0.001)均呈显著正相关.平行因子分析得出了四个荧光组分, 其中陆源性腐殖质组分C1、C4与cCO2(P<0.01)、FCO2(P<0.001)均呈显著正相关; 全湖范围内类色氨酸组分C2及类酪氨酸组分C3与cCO2FCO2均无显著相关.上述结果意味着水体营养水平对巢湖CO2产生有显著的促进作用, 而CDOM的来源和组成, 尤其是陆源类腐殖酸输入与积累在一定程度上也加剧CO2的排放.
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李宇阳
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关键词 巢湖二氧化碳(CO2)通量有色可溶性有机物(CDOM)平行因子分析(PARAFAC)    
Abstract:Water samples from Lake Chaohu were collected in January (dry), April (wet-to-dry transition), and July (wet) to explore the variability of CO2 emissions from the shallow lake and the corresponding linkage with the sources and optical composition of CDOM. We coupled diffusion coefficient and mass balance approaches to trace the variability of dissolved CO2 concentration (cCO2) and CO2 efflux (FCO2) from Lake Chaohu, and further explore the potential drivers, especially the potential linkage between CO2 emissions and the optical composition of CDOM. Our results showed that the mean cCO2 of the whole lake area in Chaohu was higher in the wet season ((51.9±71.8)μmol/L) than in the wet-to-dry transition season ((48.9±29.0)μmol/L), and further higher than in the dry season ((35.2±15.6)μmol/L). We observed a slight sink of CO2 in the lake in the dry season ((-98.8±20.1)mg/(m2·d)), and there was no significant difference between the mean FCO2 in the wet season ((219.3±275.5)mg/(m2·d)) and the wet-to-dry transition season ((219.9±157.8)mg/(m2·d)). We found higher mean cCO2 and FCO2 in the western than in the central and further higher than in the eastern area of Lake Chaohu. In the western area of Lake Chaohu, dissolved oxygen (DO) was negatively correlated with cCO2(P<0.05) and FCO2(P<0.001); and we further found that both cCO2 and FCO2 increased with increasing dissolved organic carbon (DOC) (P<0.01) and chlorophyll-a(Chl-a) (P<0.001). Parallel factor analysis coupled with excitation-emission matrices revealed four fluorescent components, and both cCO2 and FCO2 increased with increasing humic-rich components C1 (P<0.01) and C4 (P<0.001). No significant correlation was found between cCO2, FCO2 and tryptophan-like C2, or beteween cCO2, FCO2 and tyrosine-like C3. Our results suggested that elevated trophic level potentially drive the emission of CO2 from Lake Chaohu, and the source and composition of CDOM, especially the input of terrestrial humic-rich substances, potentially favors the emission of CO2 from the lake.
Key wordsLake Chaohu    carbon dioxide (CO2)    flux    chromophoric dissolved organic matter (CDOM)    parallel factor analysis (PARAFAC)   
收稿日期: 2021-05-27     
PACS: X143  
  X171  
基金资助:国家自然科学基金资助项目(41807362);中国科学院青年创新促进会会员(2021312);江苏省自然科学基金资助项目(BK20181104);中国科学院南京地理与湖泊研究所青年科学家小组(E1SL002)
通讯作者: 周蕾, 助理研究员, zhoulei16@mails.ucas.ac.cn     E-mail: zhoulei16@mails.ucas.ac.cn
作者简介: 李宇阳(1997-), 男, 安徽淮南人, 南昌大学硕士研究生, 主要从事有色可溶性有机物循环与水污染治理.发表论文2篇
引用本文:   
李宇阳, 朱俊羽, 俞晓琴, 陈慧敏, 郭燕妮, 周永强, 周蕾. 巢湖二氧化碳排放特征及其潜在影响因素[J]. 中国环境科学, 2022, 42(1): 425-433. LI Yu-yang, ZHU Jun-yu, YU Xiao-qin, CHEN Hui-min, GUO Yan-ni, ZHOU Yong-qiang, ZHOU Lei. Emission of carbon dioxide from Lake Chaohu and the potential influencing factors. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(1): 425-433.
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