2012年长江口水域溶解有机碳分布特征及其与环境因子的关系

根据2012年2、5、8和11月长江口4个季节航次综合调查资料,分析了长江口及其邻近海域溶解有机碳(DOC)时空分布特征,探讨了DOC分布与盐度、表观耗氧量(AOU)、化学耗氧量(COD)、叶绿素a以及颗粒有机碳(POC)间的关系。结果表明,2012年长江口区DOC的浓度范围在0.53~5.21mg/L之间,均值为1.86mg/L。DOC浓度秋季最高,夏季和冬季次之,春季最低。DOC空间分布整体呈现近岸高、远岸低的格局,高值区分布在口门内和近岸水域,外海区DOC浓度随着离岸距离的增加而逐渐降低。各季节DOC空间分布略有差异。DOC与盐度、COD以及POC的相关关系较强,与AOU和叶绿素a相关性较弱。2012年长江口有机碳以DOC为主,DOC对总有机碳(TOC)的平均贡献率为55.8%,其中冬季贡献最大(59.4%),其次为秋季(59.2%)和春季(55.3%),夏季贡献率最低(49.4%)。     

对虾养殖生态系中有机碳的初步研究本研究由

对于围隔养殖对虾生态系中有机碳的变动进行了研究 ,结果表明 :溶解有机碳 (DOC)含量波动在 5 .2 99～ 13.39mg/ L之间 ,平均为 8.5 3mg/ L± 2 .2 5 mg/ L;颗粒有机碳 (POC)含量波动在0 .6 5～ 6 .6 3mg/ L之间 ,平均为 3.2 5 mg/ L± 1.76 mg/ L;总有机碳 (TOC)含量波动在 6 .92～ 2 0 .0 2mg/ L之间 ,平均为 11.78mg/ L± 3.82 mg/ L ;其中 DOC∶ POC∶ TOC为 0 .72∶ 0 .2 8∶ 1。各种有机碳组分的含量明显高于自然海水中各种有机碳的含量 ;各种有机碳组分的含量在养殖期间总体上呈上升的趋势 ;其变化与 DCOD的变化呈显著线性正相关的关系。     

南黄海溶解有机碳的生物地球化学特征分析

依据1997-2003年每年1次的南黄海调查得到的溶解有机碳(DOC)数据,重点分析了2002年秋末冬初季节南黄海DOC的分布特征及其生物地球化学控制机制。结果表明,2002年秋末冬初南黄海表层海水DOC质量浓度为1.62~2.42 mg/L,平均值为2.02 mg/L,高于大洋的平均值,具有典型近海特征;南黄海DOC分布呈现北部高,南部低,在量值上,A断面>B断面>C断面,且有显著近岸高、远离海岸中部海区低的特点。近岸高值区主要受陆源输入影响,包括径流输入和人类活动两个方面,陆源输入相对生物生产过程更为重要;中部低值区主要受控于来自东海低DOC海流的冲淡作用。垂直方向上DOC质量浓度变化不大,这明显与南黄海海水混合较好有关。7 a中南黄海DOC质量浓度总体上呈略微下降趋势,北部海域表现尤为明显,南黄海生物生产量的下降及近年来南黄海整体环境质量的提高是引起DOC下降的主要原因。     

长江口及邻近海域夏季溶解无机碳体系及其响应机制初探

根据2009年8月“908”项目长江口补充调查总碱度(TAlk)、溶解无机碳(DIC)、pH值、溶解氧(DO)和叶绿素a(Chla)等数据的分析结果显示,长江口及邻近东海海域夏季溶解无机碳(DIC)含量分布范围在1 647.1～2 236.9 μmol/dm3之间,平均值为2 031.2 μmol/dm3;空间分布为由...     

双台子河口水体有机碳分布特征研究

于2011年5月和8月通过研究双台子河口水体溶解有机碳(DOC)、颗粒有机碳(POC)和化学耗氧量(COD)的分布特征,阐述双台子河口水体有机碳的河口过程及其影响因素,并探讨总有机碳(TOC)和COD表征河口有机污染的区域性和季节性特征。研究表明:2011年5月双台子河口DOC、POC和COD含量范围分别为4.04~5.06mg/L(平均4.60mg/L)、2.93~10.85mg/L(平均7.01mg/L)和5.65~14.07mg/L(平均9.04mg/L);8月分别为10.87~46.04mg/L(平均26.75mg/L)、0.88~17.27mg/L(平均4.16mg/L)和2.42~67.62mg/L(平均17.85mg/L)。DOC、POC和COD的含量由河到海总体呈现逐渐降低的趋势,双台子河口不同区段DOC、POC和COD的时空分布,及其主要和次要影响因素具有一定的差别。有机碳来源和海水的稀释作用是影响双台子河口有机碳分布的主要因素,现场生物生产和悬浮颗粒物影响较小。双台子河口水体中TOC和COD呈现线性不显著正相关关系,二者关系的季节差异显著。     

南海北部海水中氨基酸的分布及其对溶解有机物降解行为的指示研究

于2015年6月对南海北部海区5个断面共26个站位海水中溶解态氨基酸（THAA）、溶解有机碳（DOC）和叶绿素a（Chl a）的浓度进行了科学调查。结果表明:夏季南海北部海水中THAA的浓度范围为0.40~1.95 μmol/L,平均值为（0.80±0.40） μmol/L,THAA的水平分布总体上体现出近岸高、远海低的特点,表明陆源输入对南海北部海域表层THAA分布有重要影响。THAA在断面上的垂直分布呈现出由近岸至远岸、由表层至底层逐渐降低的趋势。THAA浓度与两种D型氨基酸（D-谷氨酸:D-Glu和D-丙氨酸:D-Ala）含量之间存在显著负相关性,与天门冬氨酸/β-丙氨酸（Asp/β-Ala）和谷氨酸/γ-氨基丁酸（Glu/γ-Aba）比值之间存在显著正相关性,表明细菌的消耗是影响南海海水中THAA浓度的重要因素。D-Ala作为细菌肽聚糖中相对稳定的氨基酸,根据其占DOC的含量估算南海海水中的细菌源有机碳对DOC的贡献率为（29.32±14.32）%,其水平分布显示出近岸低、远岸高的特点;而其垂直分布则呈现出从表层至底层逐渐增加的趋势。THAA占DOC百分比（THAA-C%）的变化范围为1.02%~5.49%,平均值为（2.97±1.38）%。THAA-C%、活性因子和降解因子的高值均出现在珠江口外围区域。随着海水深度增加3种降解因子的数值均显著降低,这表明底层海水中有机物比表层海水中的有机物降解程度更大。     

南极半岛近岸海域生物化学要素分布特征及影响因素

基于中国第30次南极科学考察在南极半岛(60°~63°S)近岸海域获取的调查资料,分析了该海域生物化学要素中溶解有机碳(DOC)、总氮(TN)和总磷(TP)分布特征并讨论地形和水团对其的影响。结果表明:2014年夏季南极半岛近岸海域水体DOC浓度变化范围为40.5~78.1μmol/L,平均浓度为66.3μmol/L;TN浓度变化范围为4.2~29.5μmol/L,平均浓度为14.9μmol/L;TP浓度变化范围为0.8~2.9μmol/L,平均浓度为2.0μmol/L。表层DOC呈现研究海域西北部D1断面和东南部D5断面浓度较高,中部DOC浓度较低;表层TN与TP浓度高值区出现在研究海域西部D1断面北部以及南部,中部和东部浓度较低;DOC,TN和TP浓度的垂直分布与海底地形和水团交汇密切相关,水团运动受阻于地形致使生物化学要素在垂直方向再分布。DOC,TN和TP空间分布反映了南极半岛近岸海域生物化学要素复杂的流通,将为合理开发和利用南极资源及环境影响评价提供科学依据。     

海底地下水排放对典型红树林蓝碳收支的影响

海底地下水排放(Submarine Groundwater Discharge,SGD)是陆海相互作用的重要表现形式之一,其携带的物质对近岸海域生源要素的收支有重要影响。本文利用222Rn示踪技术估算了我国典型红树林海湾—广西珍珠湾在2019年枯季(1月)SGD携带的碳通量。调查发现,地下水中222Rn活度、溶解无机碳(DIC)和溶解有机碳(DOC)的平均浓度均高于河水和湾内表层海水。利用222Rn质量平衡模型估算得到珍珠湾SGD速率为(0.36±0.36) m/d,SGD输入到珍珠湾的DIC和DOC通量分别为(2.41±2.63)×107 mol/d和(1.96±2.20)×106 mol/d。珍珠湾溶解碳的源汇收支表明,SGD携带的DIC和DOC分别占珍珠湾总DIC和总DOC来源的91%和89%。因此,SGD携带的DIC和DOC是珍珠湾DIC和DOC的主要来源,是海岸带蓝碳收支和生物地球化学循环过程中的重要组成。     

南沙渚碧礁生态系有机碳的分布及周日变化特征

1999 年 4 月对我国南沙群岛渚碧礁海水中溶解有机碳的分布及礁坪区颗粒有机碳 (POC) 和溶解有机碳 (DOC) 的周日变化特征进行了观测。结果表明,渚碧礁表层海水 DOC 变化范围为 1.43~3.62 mg/L,平均为 2.16 mg/L,含量分布大致表现为礁坪区>潟湖>礁外。潟湖 DOC 的垂直分布大致表现为表层高于底层,可能与表层浮游植物的光合作用有关。礁坪区 POC 及 DOC 都呈现显著的周日变化特征,POC 呈现夜晚高,白天低的特点,浮游植物的昼夜垂直移动可能是产生该现象的主要原因。DOC 的周日变化则主要受浮游动物昼夜垂直移动及细菌等生物活动的影响。     

长江口盐度梯度下不同形态碳的分布、来源与混合行为

河口碳的生物地球化学过程是全球碳循环的重要组成。通过测定溶解无机碳（DIC）及其稳定同位素丰度（δ13C_DIC）,溶解有机碳（DOC）,有色溶解有机物（CDOM）,颗粒有机碳（POC）及其稳定同位素丰度（δ13C_POC）与元素比值（N/C）及相关指标,研究了2014年7月长江口盐度梯度下不同形态碳的分布、来源和混合行为。结果表明,DIC浓度、DOC浓度、POC含量分别为1 583.2~1 739.6 μmol/L,128.4~369.4 μmol/L和51.2~530.8 μmol/L,这些不同形态碳及CDOM的荧光组分的分布模式相似,均是从口内到口外,整体呈现先增大后减小的趋势,并与盐度呈现非保守混合行为。添加作用主要发生在在口门处最大浑浊带附近。与含量相反,从口内到口外,δ13C_DIC和δ13C_POC均呈现逐渐减小再增大的趋势,在口门附近达到最低值,分别为-9.7‰和-26.7‰。在口门附近不同形态碳含量上升及δ13C_DIC、δ13C_POC的降低可能主要与沉积物再悬浮及微生物作用有关。基于蒙特卡洛模拟的三端元混合模型的结果显示,河口内外POC来源变化明显,口内POC以陆源有机碳贡献为主,平均为62.3%,口外海源贡献逐渐增加。CDOM相关参数结果表明长江口CDOM主要来自陆源输入,海源及人类活动等也对其产生影响。     

夏季黄海不同水团溶解有机物分布特征

依据2017年8—9月对黄海海域溶解有机物(DOM)的调查,探讨了夏季黄海海水中溶解有机碳(DOC)和有色溶解有机物(CDOM)的空间分布特征。在表层海水中,受陆源影响较大的近岸海域CDOM含量相对较高,北黄海冷水团区域由于水产养殖的饵料引起DOC浓度升高,且该部分DOC以无色为主。DOC浓度随深度逐渐降低,而CDOM逐渐升高,该特征在冷水团区域更为显著,因此DOC和CDOM在冷水团区域的表底差异远大于浅水区的非冷水团区域。陆源输入和初级生产是引起表层DOC升高的主要原因,而光漂白则引起CDOM降低,同时光漂白还导致表层水体中CDOM分子量和芳香性低于底层。底层溶解氧饱和度在冷水团为80%～93%,均表现为弱不饱和状态。层化不仅阻碍了O₂向底层水体输送,还抑制了DOC和CDOM的垂向混合,这是引起冷水团区域表底层DOC和CDOM差异较大的主要原因。     

2013年夏季黄、渤海颗粒有机碳分布及来源分析

本文根据2013年夏季黄、渤海海域航次获得的颗粒有机碳(particulate organic carbon, POC)、叶绿素a(chlorophyll a, Chl a)和总悬浮颗粒物(total suspended particles, TSP)数据,结合同步获得的水文环境参数,综合探讨该区夏季POC时空分布特征,以及在不同温盐深水团中POC的主要影响因素。结果表明:在整个研究区POC的浓度范围为102.3～1850.0 μg/L,平均值为(383.7±269.6) μg/L,分布呈现出近岸高、远海低、表层低、底层高的特征。苏北外浅滩海域和北黄海东北区域的10 m层和底层为POC高值区,苏北外海域受到陆源输入、沿岸流混合作用和浮游植物光合作用的影响,POC上下混合均匀且浓度高;南黄海中部因受黄海环流的影响,水体中浮游植物生产力水平低,POC浓度较低。在垂直分布上,近岸海域受陆源输入和再悬浮影响POC浓度高,上下混合均匀;在南黄海和北黄海中部受到黄海环流和黄海冷水团的控制,浮游植物生产力水平低,POC浓度低。对不同温盐水团中POC的影响因素分析发现,在高温低盐水团中,POC受浮游植物初级生产和陆源输入的共同影响;在温盐适中区真光层海水中,浮游植物的初级生产是POC的主要来源;底层的冷水团区,POC主要来源为上层海水中颗粒物的沉降和底层再悬浮作用。     

Seasonal Investigations of Dissolved Organic Carbon Dynamics in the Tamar Estuary, U.K.

A high temperature catalytic oxidation (HTCO) technique was used to measure dissolved organic carbon (DOC) during seasonal surveys of the Tamar Estuary, U.K. At the time of the programme, the field of DOC analysis had been plagued by numerous analytical difficulties. However, using thorough calibration of the analytical systems and the systematic analysis of an internal reference material, a valuable estuarine DOC data set was produced. The range of DOC concentrations observed (478–110 μM C) is consistent with the published data for riverine and coastal sea waters respectively. The Tamar Estuary is a freshwater DOC-dominated system, with strong correlation between lateral DOC distribution and salinity. However, mixing behaviour was not strictly conservative. During tidal cycle studies at a fixed station, DOC concentrations appeared to be uncoupled from salinity, and were inversely related to turbidity. It is concluded that tidally-induced resuspension of bottom sediments provided the dominant control mechanism for DOC concentration. The Tamar Estuary shows contrasting behaviour to the larger, more heavily impacted, Severn Estuary. Hence it is likely that the behaviour of DOC in estuaries cannot be classified as typical per se, but is a function of the natural and anthropogenic characteristics of the catchment and hydrology.     

Distributions and seasonal variations of dissolved carbohydrates in the Jiaozhou Bay,China

Surface seawater samples were collected in the Jiaozhou Bay, a typical semi-closed basin located at the western part of the Shandong Peninsula, China, during four cruises. Concentrations of monosaccharides (MCHO), polysaccharides (PCHO) and total dissolved carbohydrates (TCHO) were measured with the 2,4,6-tripyridyl-s-triazine spectroscopic method. Concentrations of TCHO varied from 10.8 to 276.1 μM C for all samples and the ratios of TCHO to dissolved organic carbon (DOC) ranged from 1.1 to 67.9% with an average of 10.1%. This result indicated that dissolved carbohydrates were an important constituent of DOC in the surface seawater of the Jiaozhou Bay. In all samples, the concentrations of MCHO ranged from 2.9 to 65.9 μM C, comprising 46.1 ± 16.6% of TCHO on average, while PCHO ranged from 0.3 to 210.2 μM C, comprising 53.9 ± 16.6% of TCHO on average. As a major part of dissolved carbohydrates, the concentrations of PCHO were higher than those of MCHO. MCHO and PCHO accumulated in January and July, with minimum average concentration in April. The seasonal variation in the ratios of TCHO to DOC was related to water temperature, with high values in January and low values in July and October. The concentrations of dissolved carbohydrates displayed a decreasing trend from the coastal to the central areas. Negative correlations between concentrations of TCHO and salinity in July suggested that riverine input around the Jiaozhou Bay had an important effect on the concentrations of dissolved carbohydrates in surface seawater. The pattern of distributions of MCHO and PCHO reported in this study added to the global picture of dissolved carbohydrates distribution.     

Chemical properties of colored dissolved organic matter in the sea-surface microlayer and subsurface water of Jiaozhou Bay, China in autumn and winter

The distribution and chemical properties of chromophoric dissolved organic matter (CDOM) in the Jiaozhou Bay, China were examined during four cruises in 2010-2011. The influence of freshwater and industrial and municipal sewage along the eastern coast of the bay was clearly evident as CDOM levels (defined as a 305 ), and dissolved organic carbon (DOC) concentrations were well correlated with salinity during all the cruises. Moreover, DOC concentrations were significantly correlated with chlorophyll a concentrations in the surface microlayer as well as in the subsurface water. The concentrations of DOC and CDOM displayed a gradually decreasing trend from the northwestern and eastern coast to the central bay, and the values and gradients of their concentrations on the eastern coast were generally higher than those on the western coast. In addition, CDOM and DOC levels were generally higher in the surface microlayer than in the subsurface water. In comparison with DOC, CDOM exhibited a greater extent of enrichment in the microlayer in each cruise, with average enrichment factor (E F ) values of 1.38 and 1.84, respectively. Four fluorescent components were identified from the surface microlayer and subsurface water samples and could be distinguished as peak A, peak T, peak B and peak M. For all the cruises, peak A levels were higher in the surface microlayer than in the subsurface water. This pattern of variation might be attributed to the terrestrial input.