基于2020年上半年我国东部近海站点观测资料和葵花-8卫星反演海雾产品对我国自主研发的GRAPES-TYM模式进行了海雾预报性能评估。点、面检验结果表明:模式48 h和72 h TS分别为0.40和0.36,黄海海雾预报性能最优,34°~37°N海域内...基于2020年上半年我国东部近海站点观测资料和葵花-8卫星反演海雾产品对我国自主研发的GRAPES-TYM模式进行了海雾预报性能评估。点、面检验结果表明:模式48 h和72 h TS分别为0.40和0.36,黄海海雾预报性能最优,34°~37°N海域内大部分站点TS高于0.50。黄海海雾落区预报检验显示均压场形势下预报最准确,平均临界成功指数为0.35;气旋后部海雾多空报。2 m相对湿度预报偏差具有局地性特征,相对湿度低估的站海雾预报击中率、TS相对低,反之亦然。另外,模式对成雾相关气象要素预报误差相对小且对成雾有利时海雾预报基本正确;模式预报风向较实际风向偏东南,易出现冷偏差和湿偏差,虚假的有利温湿条件导致海雾空报。展开更多
海洋是地球上最大的活性碳库.有机碳作为海洋固碳的主要形态,其沉积和埋藏在全球碳循环中扮演着重要的角色.本文利用采自渤海、黄海和东海海域的5796个站的沉积有机碳含量及相关地球化学和沉积学参数,编制了系列图件,总结阐述了中国东...海洋是地球上最大的活性碳库.有机碳作为海洋固碳的主要形态,其沉积和埋藏在全球碳循环中扮演着重要的角色.本文利用采自渤海、黄海和东海海域的5796个站的沉积有机碳含量及相关地球化学和沉积学参数,编制了系列图件,总结阐述了中国东部近海沉积有机碳分布和埋藏规律;基于获得的现代沉积物收支数据,系统估算了渤海、黄海和东海有机碳埋藏通量;在此基础上综合评估了中国东部近海沉积碳汇效应强度,基本摸清了渤海、黄海和东海沉积有机碳“家底”.研究结果表明,渤海、黄海和东海沉积有机碳含量介于0.00%~2.12%之间,平均含量为0.47%±0.26%.有机碳含量主要受细粒沉积物组分控制,泥质区有机碳含量平均值比非泥质区高39%.渤海、黄海和东海现代沉积有机碳主要埋藏在七大泥质区,其沉积有机碳埋藏通量合计约为8.20Mt C a^(–1).其中,生源有机碳埋藏通量为6.92Mt C a^(–1),与我国东部九大水系流域硅酸盐风化强度相当.在自然状态下,中国东部近海沉积物中每年固定的有机碳相当于25.37Mt大气CO_(2),具有非常可观的碳汇效应.渤海、黄海和东海陆源有机碳的分布和埋藏主要受大河输入和海区复杂水动力环境的影响,但筑坝等人类活动已显著改变了近海泥质区有机碳的埋藏.展开更多
Sea surface temperature （SST） variation in the Subei coastal waters, East China, which is important for the ecological environment of the Yellow Sea where Enteromorphaprolifera blooms frequently, is affected by the ...Sea surface temperature （SST） variation in the Subei coastal waters, East China, which is important for the ecological environment of the Yellow Sea where Enteromorphaprolifera blooms frequently, is affected by the East Asian winter monsoon （EAWM）, El Nifio-Southem Oscillation （ENSO）, and Pacific Decadal Oscillation （PDO）. In this study, correlations between climatic events and SST anomalies （SSTA） around the Subei （North Jiangsu Province, East China） Coast from 1981-2012 are analyzed, using empirical orthogonal function （EOF） and correlation analyses. First, a key region was determined by EOF analysis to represent the Subei coastal waters. Then, coherency analyses were performed on this key region. According to the correlation analysis, the EAWM index has a positive correlation with the spring and summer SSTA of the key region. Furthermore, the Nifio3.4 index is negatively correlated with the spring and summer SSTA of the key region 1 year ahead, and the PDO has significant negative coherency with spring SSTA and negative coherency with summer SSTA in the key region 1 year ahead. Overall, PDO exhibits the most significant impact on SSTA of the key region. In the key region, all these factors are correlated more significantly with SSTA in spring than in summer. This suggests that outbreaks ofEnteromorpha prolifera in the Yellow Sea are affected by global climatic changes, especially the PDO.展开更多
Detrital minerals of 137 offshore and 22 river sediment samples collected from Qingdao coastal areas have been analyzed. Four mineral assemblage provinces can be classified by Q-mode cluster analysis. Factor analysis ...Detrital minerals of 137 offshore and 22 river sediment samples collected from Qingdao coastal areas have been analyzed. Four mineral assemblage provinces can be classified by Q-mode cluster analysis. Factor analysis identifies two major factors that account for the total variability in most common minerals: 1) based on the relationship of quartz, hornblende, actinolite, micas, and authigenic pyrite, 41.55% of the variability is related to sediment sources; 2) based on the relationship of epidote, garnet, sphere, and ilmenite, 23.21% can be related to strong hydrodynamic conditions that control transport and sedimentation. By comparing mineral compositions of river waters in the study area, the following four mineral provenances can be identified. The Qingdao-Laoshan nearshore area has a quartz-feldspar-epidote-hornblende-limenite-limonite-sphene assemblage, which is largely attributed to relict sediment and coastal erosion. The Jimo-Haiyang nearshore area has a quartz-feldspar-hornblende-epidote-limonite-mica-actinolite assemblage, derived largely from the Wulong River and Rushan River, and is also affected by the Huanghe River, while the Qianliyan Island area in the deeper offshore area separated by a mud belt has a similar assemblage. The Haiyang-Rushan nearshore area has a quartz-feldspar-hornblende-epidote-micas-limonite assemblage, indicating multiple sources from the Rushan River, the Wulong River, the Huanghe River, and coastal erosion. The central area, located in an eddy center, has a mica-authigenic pyrite-hornblende-quartz-feldspar assemblage, indicating multiple sources dominated by Huanghe River distal sediments.展开更多
文摘基于2020年上半年我国东部近海站点观测资料和葵花-8卫星反演海雾产品对我国自主研发的GRAPES-TYM模式进行了海雾预报性能评估。点、面检验结果表明:模式48 h和72 h TS分别为0.40和0.36,黄海海雾预报性能最优,34°~37°N海域内大部分站点TS高于0.50。黄海海雾落区预报检验显示均压场形势下预报最准确,平均临界成功指数为0.35;气旋后部海雾多空报。2 m相对湿度预报偏差具有局地性特征,相对湿度低估的站海雾预报击中率、TS相对低,反之亦然。另外,模式对成雾相关气象要素预报误差相对小且对成雾有利时海雾预报基本正确;模式预报风向较实际风向偏东南,易出现冷偏差和湿偏差,虚假的有利温湿条件导致海雾空报。
文摘海洋是地球上最大的活性碳库.有机碳作为海洋固碳的主要形态,其沉积和埋藏在全球碳循环中扮演着重要的角色.本文利用采自渤海、黄海和东海海域的5796个站的沉积有机碳含量及相关地球化学和沉积学参数,编制了系列图件,总结阐述了中国东部近海沉积有机碳分布和埋藏规律;基于获得的现代沉积物收支数据,系统估算了渤海、黄海和东海有机碳埋藏通量;在此基础上综合评估了中国东部近海沉积碳汇效应强度,基本摸清了渤海、黄海和东海沉积有机碳“家底”.研究结果表明,渤海、黄海和东海沉积有机碳含量介于0.00%~2.12%之间,平均含量为0.47%±0.26%.有机碳含量主要受细粒沉积物组分控制,泥质区有机碳含量平均值比非泥质区高39%.渤海、黄海和东海现代沉积有机碳主要埋藏在七大泥质区,其沉积有机碳埋藏通量合计约为8.20Mt C a^(–1).其中,生源有机碳埋藏通量为6.92Mt C a^(–1),与我国东部九大水系流域硅酸盐风化强度相当.在自然状态下,中国东部近海沉积物中每年固定的有机碳相当于25.37Mt大气CO_(2),具有非常可观的碳汇效应.渤海、黄海和东海陆源有机碳的分布和埋藏主要受大河输入和海区复杂水动力环境的影响,但筑坝等人类活动已显著改变了近海泥质区有机碳的埋藏.
基金Supported by the National Basic Research Program of China(973 Program)(No.2010CB950403)the Strategic Priority Research Program of Chinese Academy of Sciences(No.XDA11020301)+1 种基金the National Natural Science Foundation of China(No.41176018)the Special Fund for Marine Research in the Public Interest(No.201005006)
文摘Sea surface temperature （SST） variation in the Subei coastal waters, East China, which is important for the ecological environment of the Yellow Sea where Enteromorphaprolifera blooms frequently, is affected by the East Asian winter monsoon （EAWM）, El Nifio-Southem Oscillation （ENSO）, and Pacific Decadal Oscillation （PDO）. In this study, correlations between climatic events and SST anomalies （SSTA） around the Subei （North Jiangsu Province, East China） Coast from 1981-2012 are analyzed, using empirical orthogonal function （EOF） and correlation analyses. First, a key region was determined by EOF analysis to represent the Subei coastal waters. Then, coherency analyses were performed on this key region. According to the correlation analysis, the EAWM index has a positive correlation with the spring and summer SSTA of the key region. Furthermore, the Nifio3.4 index is negatively correlated with the spring and summer SSTA of the key region 1 year ahead, and the PDO has significant negative coherency with spring SSTA and negative coherency with summer SSTA in the key region 1 year ahead. Overall, PDO exhibits the most significant impact on SSTA of the key region. In the key region, all these factors are correlated more significantly with SSTA in spring than in summer. This suggests that outbreaks ofEnteromorpha prolifera in the Yellow Sea are affected by global climatic changes, especially the PDO.
基金the National Natural Science Foundation of China (Nos. 41376079, 41406081 and 41506107)Marine Geology Survey Project (Nos. GZH200900501 and GZH201100203)the Basic Fund of Ministry of Science Foundation of China (No. 2013FY112200)
文摘Detrital minerals of 137 offshore and 22 river sediment samples collected from Qingdao coastal areas have been analyzed. Four mineral assemblage provinces can be classified by Q-mode cluster analysis. Factor analysis identifies two major factors that account for the total variability in most common minerals: 1) based on the relationship of quartz, hornblende, actinolite, micas, and authigenic pyrite, 41.55% of the variability is related to sediment sources; 2) based on the relationship of epidote, garnet, sphere, and ilmenite, 23.21% can be related to strong hydrodynamic conditions that control transport and sedimentation. By comparing mineral compositions of river waters in the study area, the following four mineral provenances can be identified. The Qingdao-Laoshan nearshore area has a quartz-feldspar-epidote-hornblende-limenite-limonite-sphene assemblage, which is largely attributed to relict sediment and coastal erosion. The Jimo-Haiyang nearshore area has a quartz-feldspar-hornblende-epidote-limonite-mica-actinolite assemblage, derived largely from the Wulong River and Rushan River, and is also affected by the Huanghe River, while the Qianliyan Island area in the deeper offshore area separated by a mud belt has a similar assemblage. The Haiyang-Rushan nearshore area has a quartz-feldspar-hornblende-epidote-micas-limonite assemblage, indicating multiple sources from the Rushan River, the Wulong River, the Huanghe River, and coastal erosion. The central area, located in an eddy center, has a mica-authigenic pyrite-hornblende-quartz-feldspar assemblage, indicating multiple sources dominated by Huanghe River distal sediments.
