• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

河川 pCO 生物地球化学特征的动态变化,以及亚热带河流系统中 δC 推断的碳源。

Dynamic of riverine pCO biogeochemical characteristics, and carbon sources inferred from δC in a subtropical river system.

机构信息

Key Laboratory of Reservoir Aquatic Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China.

Key Laboratory of Reservoir Aquatic Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China.

出版信息

Sci Total Environ. 2022 May 15;821:153296. doi: 10.1016/j.scitotenv.2022.153296. Epub 2022 Jan 21.

DOI:10.1016/j.scitotenv.2022.153296
PMID:35074366
Abstract

Rivers significantly contribute to the global carbon budget, but data limitations and uncertainty are hampered by CO quantification in the global rivers. Thus, this study estimated riverine pCO by employing the pH-alkalinity-temperature method, and dissolved inorganic (DIC), dissolved organic (DOC), particulate organic (POC) carbon, and their isotopes (δC) with Chlorophyll-a (Chl a) were measured in river water samples from 26 sampling sites for characterization and source identification in the Yangtze River system. The estimated pCO varies from (120 ppm) to (3400 ppm) with an average (1085 ppm) across the Yangtze River and pCO is almost three times oversaturated than the ambient air (380 ppm). The downstream sites pronounced elevated pCO than the upstream sites. The relationship of δC and pCO indicated that pCO control is seasonally independent. The significant correlations between DOC, POC, and pCO revealed that organic carbon influenced pCO in the river. The seasonal fluctuations of pCO were observed with an average of (762.23 ppm) and (1407.35 ppm) in winter and summer, respectively. δC showed that the metabolic process has a negligible influence on DIC, δC and pCO. δC values increased from -8.95‰ to -4.91‰ during summer, whereas winter increased from -19.76‰ to -1.97‰ suggesting that DIC derived from carbonate weathering, dissolution of atmospheric and soil CO. The δC (-30.43‰ to -24.05‰) and δC (-29.87‰ to -23.37‰) values confirmed that organic carbon mainly derived from the degradation of organic materials in soil. δC revealed that anthropogenic sewage discharge slightly modified DIC composition. Overall, this study provides new insight into recent seasonal fluctuations of the pCO, DOC, POC, DIC, δC, and their inputs. Thus, these variations and inputs of carbon transported by the Yangtze River could have a significant influence not only on the biogeochemical cycle and ecosystem process but also on the global carbon budget.

摘要

河流对全球碳预算有重大贡献,但由于全球河流 CO2 定量存在数据限制和不确定性,因此受到阻碍。因此,本研究采用 pH-碱度-温度法估算河流水体中的 pCO2,并测量了长江水系 26 个采样点的河水样品中的溶解无机碳(DIC)、溶解有机碳(DOC)、颗粒有机碳(POC)及其同位素(δC)和叶绿素-a(Chl a),以进行特征描述和来源识别。估算的 pCO2 范围为(120ppm)至(3400ppm),平均为(1085ppm),长江流域 pCO2 几乎是环境空气(380ppm)的三倍过饱和。下游站点的 pCO2 明显高于上游站点。δC 和 pCO2 的关系表明,pCO2 控制是季节性独立的。DOC、POC 和 pCO2 之间的显著相关性表明,有机碳影响河流中的 pCO2。观察到 pCO2 的季节性波动,冬季平均为(762.23ppm)和夏季平均为(1407.35ppm)。δC 表明,代谢过程对 DIC、δC 和 pCO2 的影响可以忽略不计。δC 值从夏季的-8.95‰增加到-4.91‰,而冬季从-19.76‰增加到-1.97‰,表明 DIC 来自碳酸盐风化、大气和土壤 CO2 的溶解。δC(-30.43‰至-24.05‰)和δC(-29.87‰至-23.37‰)值证实,有机碳主要来自土壤中有机物质的降解。δC 表明,人为污水排放略微改变了 DIC 的组成。总体而言,本研究为近期 pCO2、DOC、POC、DIC、δC 及其输入的季节性波动提供了新的见解。因此,长江输送的这些碳的变化和输入可能不仅对生物地球化学循环和生态系统过程有重大影响,而且对全球碳预算也有重大影响。

相似文献

1
Dynamic of riverine pCO biogeochemical characteristics, and carbon sources inferred from δC in a subtropical river system.河川 pCO 生物地球化学特征的动态变化,以及亚热带河流系统中 δC 推断的碳源。
Sci Total Environ. 2022 May 15;821:153296. doi: 10.1016/j.scitotenv.2022.153296. Epub 2022 Jan 21.
2
[Effects of Land Use on Riverine Dissolved Inorganic Carbon (DIC) and C in a Karst River Basin, Southwestern China].[土地利用对中国西南喀斯特流域河流溶解无机碳(DIC)及碳的影响]
Huan Jing Ke Xue. 2022 Feb 8;43(2):752-761. doi: 10.13227/j.hjkx.202106198.
3
[Source and spatio-temporal variation characteristics of dissolved inorganic carbon in Wanfenghu Reservoir, China].[中国万峰湖水库溶解无机碳的来源及时空变化特征]
Ying Yong Sheng Tai Xue Bao. 2020 Jun;31(6):1783-1790. doi: 10.13287/j.1001-9332.202006.028.
4
Reservoir CO evasion flux and controlling factors of carbon species traced by δC at different regulating phases of a hydro-power dam.水库 CO 逸出通量及碳形态 δC 在水力发电大坝不同调控阶段的控制因素。
Sci Total Environ. 2020 Jan 1;698:134184. doi: 10.1016/j.scitotenv.2019.134184. Epub 2019 Aug 29.
5
[Concentration and Carbon Isotope Composition of DOC and DIC in the Miyun Reservoir Watershed in Summer].[夏季密云水库流域溶解性有机碳和溶解性无机碳的浓度及碳同位素组成]
Huan Jing Ke Xue. 2020 Nov 8;41(11):4905-4913. doi: 10.13227/j.hjkx.202002185.
6
First assessment of water and carbon cycles in two tropical coastal rivers of south-west India: an isotopic approach.首次对印度西南部两条热带沿海河流的水碳循环进行评估:同位素方法。
Rapid Commun Mass Spectrom. 2013 Aug 15;27(15):1681-9. doi: 10.1002/rcm.6616.
7
Carbon concentrations and their stable isotopic signatures in the upper Han River, China.中国汉江上覆水体中碳浓度及其稳定同位素特征。
Environ Sci Pollut Res Int. 2019 May;26(14):14116-14127. doi: 10.1007/s11356-019-04568-6. Epub 2019 Mar 11.
8
Multiple controls on carbon dynamics in mixed karst and non-karst mountainous rivers, Southwest China, revealed by carbon isotopes (δC and ΔC).西南岩溶与非岩溶山地河流碳动态的多重控制:碳同位素(δC 和 ΔC)的揭示。
Sci Total Environ. 2021 Oct 15;791:148347. doi: 10.1016/j.scitotenv.2021.148347. Epub 2021 Jun 8.
9
Constraining the sources and cycling of dissolved inorganic carbon in an alpine river, eastern Qinghai-Tibet Plateau.青藏高原东部一条高山河流中溶解无机碳的来源与循环限制
Sci Total Environ. 2023 Nov 25;901:166262. doi: 10.1016/j.scitotenv.2023.166262. Epub 2023 Aug 18.
10
Riverine carbon dioxide evasion along a high-relief watercourse derived from seasonal dynamics of the water-atmosphere gas exchange.沿高海拔河道的河流二氧化碳逸出量源自水-气交换的季节性动态。
Sci Total Environ. 2019 Mar 20;657:1311-1322. doi: 10.1016/j.scitotenv.2018.12.158. Epub 2018 Dec 11.