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1.
基于多卫星融合资料的南海浪高时空分布特征研究 总被引：3，自引：0，他引：3
为提高对南海波浪场的认识, 采用基于多卫星融合的2009年9月～2011年11月的AVISO(Archiving, Validation and Interpretation of Satellite Oceanographic data)有效浪高格点数据对南海浪高的月变化特征进行分析, 并结合南海的波浪特征和地形特点, 将南海划分为6个海区, 讨论南海浪高的空间分布规律。研究发现南海浪高具有以下2个特征: (1)南海浪高表现为由东向西、由北往南递减: 北部深水区>北部陆架区>南海中部≈北部湾>南部陆架区>泰国湾。(2)浪高的月变化与季风的变化密不可分: 10月～次年3月(冬季风影响期间)>4月和9月(季风转换期)>5月～8月(夏季风影响期间), 1月最大, 5月最小。该研究成果对开展南海海浪的中长期预报、保障南海资源开发和军事安全等有一定的借鉴意义和参考价值。 相似文献
2.
《海洋地质与第四纪地质》2010,(4)
南海表层黏土矿物组合主要包括伊利石、绿泥石、高岭石和蒙皂石,这些矿物在不同地区不同水深有着不同的分布特征,而物源区的不同是导致分布特征存在差异的主要因素。结合在南海西部和北部的工作以及近年来其他学者发表的南海表层黏土矿物资料将其大致分为东南西北4个部分,并确定各自的物源区。台湾和吕宋岛是南海东部表层黏土矿物的主要来源;湄公河、婆罗洲、巽他陆架和印度尼西亚岛弧是南海南部的主要物源区;南海西部表层黏土矿物主要来自红河、湄公河、珠江、台湾、巽他陆架、印度尼西亚岛弧以及婆罗洲;珠江、台湾、长江和吕宋岛则是南海北部的主要来源。 相似文献
3.
南海北部内陆架沉积物主要来源于陆源碎屑,它们通过河流源源不断输入南海,暴雨、洪水构成的片流亦将泥沙滚滚推进海区,波浪和海流对海岸、海峡底壁的侵蚀和磨蚀,也提供了部分物质来源,进入海底的陆源物质在海洋水动力条件作用下进行沉积分异,粗碎屑主要堆积在粤西、海南岛、广西沿岸20米水深以内,局部海区生物繁殖昌盛,形成珊瑚礁平台、有孔虫砂、贝壳砂,在河口,海湾区发育有化学成因的粘土矿物和各类自生矿物,南海现代沉积物厚度不大,是海进时间较短的缘故.沉积物分布受多种因素控制,海平面变化则起着主导作用. 相似文献
4.
东海北部陆架区温、盐度逆转现象的分析 总被引：1，自引：0，他引：1
东海陆架区的温、盐度逆转现象,有关研究已作了一些论述(苏育嵩等,1989;蓝淑芳等,1984; Nakao,1977),指出东海陆架区存在两个温、盐度逆转结构出现频率高的海区：一个位于江苏、浙江近海的狭长海区内;另一个位于东海北部济州岛西南海区,即东海北部底层冷水及其附近海域(蓝淑芳等,1993)。翁学传(1984)、曹欣中等(1982)利用常规调查资料,曾分别对第一高频区的中层冷水和温度逆转现象作了初步分析;丁宗信(1994，1995)利用常规调査资料和CTD资料,对黄海、东海春、夏、秋、冬四季温、盐度垂直分布类型及逆转现象的成因进行了研究。本文根据中国科学院海洋研究所1984年和1985年6月在东海北部陆架区进行的大面水文调査资料(该资料由“科学一号”调査船使用Mark-Ⅲ CTD 探测仪获取),以及国家海洋局1975-1980年在东海取得的标准断面BT观测资料,对东海北部陆架区,特别是上述第二高频区的温、盐度逆转现象和成因作进一步研究。
由于该海区的温、盐度逆转现象与水团的配置及交汇密切相关,所以首先讨论该海区的水团。 相似文献
5.
调查海区的表层水可划分为四个变性水团,即南海北部沿岸水(NSCW)、南海太平洋表层水(SPSW)、泰国湾—巽他陆架一带表层水(SSSW)和南海中央表层水(CSSW).其中SPSW和SSSW属季节性水团,NSCW和CSSW终年存在。这些变性水团的消长变化与南海的季风密切相关.CSSW以南海中部为活动中心,在西南季风和东北季风的作用下,分别向南海北部和南部移动.SPSW和SSSW仅分别在冬半年和夏半年出现于调查海区的北部和西南部.NSCW的消长变化不但受到广东沿海江河径流量的制约,而且在东北季风潮期间还受到东海沿岸水的强烈影响。 相似文献
6.
南海混合层深度的季节和年际变化特征 总被引：1，自引：0，他引：1
利用1871-2008年SODA资料和月平均的Levitus资料计算了南海混合层深度(MLD)的季节及年际变化特征.资料分析表明:季风通过流场调整对南海MLD的时空分布特征有显著的影响.南海MLD的距平变化总体上呈上升趋势,南海南部MLD的距平变化趋势和北部的有显著差异,特别在1955年后北部整体呈下降趋势而南部呈上升趋势,二者的显著周期北部为2-3年,南部与整个区域平均的基本相似有2-6年的显著周期.SOI指数对滞后的南海各个区域有较好的相关性.EOF分析表明第一模态整体呈单极型最大变率分布在南海南部,由南往北逐渐减小显著周期2-3年变化为主;第二模态呈偶极子型,显著周期以2-5年变化为主.回归分析表明南海南部深水区域呈现增深的趋势,而吕宋海峡至南海北部陆架区呈变浅趋势,滑动t检验表明南海MLD有6个显著的突变年份. 相似文献
7.
利用卫星遥感资料对南海北部陆架海洋表层温度锋的分析 总被引：4，自引：0，他引：4
利用7年(1993～1999)月平均的SST卫星遥感资料，分析了南海北部陆架区域海洋表层温度锋在一年中的逐月变化特征，表明南海北部陆架海洋表层温度锋存在明显的季节内变化。结合风场的卫星遥感资料，分析了东北季风对南海北部陆架温度锋的影响，表明东北季风风速的增加有利于温度锋强度的增强。通过对黑潮南海流套入侵较强的1999年2月与流套入侵较弱的1998年2月的SST卫星遥感资料的对比分析，考察了黑潮南海流套的入侵对南海北部陆架温度锋的影响，结果表明黑潮流套的较强入侵能够增加陆架温度锋的强度，对温度锋的走向也会产生一定的影响。 相似文献
8.
利用2015年6月南海北部现场观测的水文数据,结合卫星高度计资料,分析了2015年6月13日—28日南海北部陆坡在气旋涡-反气旋涡的双涡结构影响下的水文和环流特征。结果表明,2015年6月南海北部陆坡调查海区表层50 m以浅盐度存在NE—SW向低盐区,表层盐度最小值低于32,这表明南海北部陆坡存在跨陆架海水输送。在观测期间,南海北部陆坡调查海区受气旋涡和反气旋涡双涡结构影响,使得南海北部陆坡表层100 m以浅存在跨陆坡流,流速最大值出现在两涡交汇区域。此外,通过潜标连续海流资料,发现南海北部陆坡环流呈现了“深入浅出”(100 m以深层为向岸的入侵、以浅层为离岸的出流)的“两层结构”。 相似文献
9.
东海北部冷涡区温盐度和海流观测的分析 总被引：1，自引：0，他引：1
济州岛西南的东海北部海区是东海陆架区的重要渔场之一;南去的黄海沿岸流、黄海冷水,北去的黄海暖流和台湾暖流等在这里相汇,夏季上层还有长江冲淡水的影响。该区地处浅海陆架区,受潮汐和气候的影响很大,水文要素不仅有季节变化和多年变化,且有明显的短周期变化。因此,该海区的海流、水文状 相似文献
10.
珠江口和琼东南盆地天然气水合物形成和稳定分布的地球化学边界条件及其分布区 总被引：22，自引：0，他引：22
通过对南海北部陆缘珠江口和琼东南盆地气田的天然气形成水合物的地球化学计算模拟及地质地球化学条件分析，对珠江口和琼东南盆地天然气形成水合物的地球化学边界条件及分布区进行了研究。认识到南海北部陆缘琼东南和珠江口盆地内的断裂构造是天然气向海底渗漏的通道，为天然气水合物在海底的形成提供了物源；盆地内巨厚的第四纪富有机质沉积也为天然气水合物形成提供了充足的细菌成因生物气源。在海底温度2－16℃范围内，琼东南盆地气田10种天然气和珠江口盆地气田18种天然气形成水合物的压力有比较大的范围，随温度增高，天然气水合物形成的压力增高；盆地间和各天然气样品之间形成水合物的压力均是不一致的。在南海海水平均盐度3．4％条件下，结合海底温度与水深变化资料，珠江口和琼东南盆地天然气水合物形成和稳定分布的海区是不同的，珠江口盆地小于230m水深的海区没有天然气水合物的形成，在230－760m水深的海区可能有天然气水合物的存在，天然气水合物的稳定分布区应该在大于860m水深的深水区；在琼东南盆地水深小于320m的海区不可能有天然气水合物的形成，在320－650m水深的海区可能有天然气水合物的存在，大于650m水深的海区是天然气水合物的稳定分布区。 相似文献
11.
产卵场保护区建立是养护渔业资源和渔业可持续发展的重要方式,为验证大陈洋产卵场保护区建立的效果,以大陈洋产卵场保护区为研究区域,基于层次分析法(analytic hierarchy process),以2018年春(4月)、秋(11月)两季渔业资源和环境调查数据为依据,从产卵场保护区的环境和生态(一级指标)角度考虑,建立以污染物、水质、群落结构、资源密度等7个二级指标和26个三级指标的评价体系,通过综合健康评价指数(comprehensive health indicator,Ic,h),表征大陈洋产卵场保护区健康状况,并利用2021年春(4月)、秋(11月)两季渔业资源调查数据与保护区建立初期渔业资源情况进行对比。结果显示:2018年大陈洋产卵场保护区春季和秋季Ic,h分别为0.514和0.511,均处于亚健康状态。虽然保护区内环境状况优良,但保护区内生物多样性低,资源密度和资源补充群体数量不足,这表明大陈洋产卵场保护区渔业资源情况不容乐观。经过一段时间的恢复,保护区内渔业资源情况略有所好转,说明保护区的设立有一定的效果。综合健康评价体系在一定程度上客观地反映了大陈洋产卵场保护区健康状... 相似文献
12.
Gonzalo Álvarez Eduardo Uribe Rosario Díaz Mauricio Braun Carmen Mariño Juan Blanco 《Journal of Sea Research》2011,65(4):427-434
Potential spawning habitat is defined as the area where environmental conditions are suitable for spawning to occur. Spawning adult data from the first quarter (January–March) of the International Bottom Trawl Survey have been used to study the inter-annual variability of the potential spawning habitat of North Sea plaice from 1980 to 2007. Generalised additive models (GAM) were used to create a model that related five environmental variables (depth, bottom temperature and salinity, seabed stress and sediment type) to presence–absence and abundance of spawning adults. Then, the habitat model was applied each year from 1970 to 2007 to predict inter-annual variability of the potential spawning habitat. Predicted responses obtained by GAM for each year were mapped using kriging. A hierarchical classification associated with a correspondence analysis was performed to cluster spawning suitable areas and to determine how they evolved across years. The potential spawning habitat was consistent with historical spawning ground locations described in the literature from eggs surveys. It was also found that the potential spawning habitat varied across years. Suitable areas were located in the southern part of the North Sea and along the eastern coast of England and Scotland in the eighties; they expanded further north from the nineties. Annual survey distributions did not show such northward expansion and remained located in the southern North Sea. This suggests that this species' actual spatial distribution remains stable against changing environmental conditions, and that the potential spawning habitat is not fully occupied. Changes in environmental conditions appear to remain within plaice environmental ranges, meaning that other factors may control the spatial distribution of plaice spawning habitat. 相似文献
13.
Potential spawning habitat is defined as the area where environmental conditions are suitable for spawning to occur. Spawning adult data from the first quarter (January–March) of the International Bottom Trawl Survey have been used to study the inter-annual variability of the potential spawning habitat of North Sea plaice from 1980 to 2007. Generalised additive models (GAM) were used to create a model that related five environmental variables (depth, bottom temperature and salinity, seabed stress and sediment type) to presence–absence and abundance of spawning adults. Then, the habitat model was applied each year from 1970 to 2007 to predict inter-annual variability of the potential spawning habitat. Predicted responses obtained by GAM for each year were mapped using kriging. A hierarchical classification associated with a correspondence analysis was performed to cluster spawning suitable areas and to determine how they evolved across years. The potential spawning habitat was consistent with historical spawning ground locations described in the literature from eggs surveys. It was also found that the potential spawning habitat varied across years. Suitable areas were located in the southern part of the North Sea and along the eastern coast of England and Scotland in the eighties; they expanded further north from the nineties. Annual survey distributions did not show such northward expansion and remained located in the southern North Sea. This suggests that this species' actual spatial distribution remains stable against changing environmental conditions, and that the potential spawning habitat is not fully occupied. Changes in environmental conditions appear to remain within plaice environmental ranges, meaning that other factors may control the spatial distribution of plaice spawning habitat. 相似文献
14.
Yong-Deuk Lee Jung Hwa Choi Seong Yong Moon Sun Kil Lee Woo-Seok Gwak 《Ocean Science Journal》2017,52(4):581-586
The purpose of this study is to research the characteristics of spawning grounds of Clupea pallasii found at 1 spawning ground located in the coast of Yeongun-ri, Tongyeong, Gyeongnam, and 3 stations in Jinhae Bay. Diving observation was performed from January to June, 2014 at the coast of Yeongun-ri, and from February to June, 2016 at Jinhae Bay after total 4 stations (A: Gusan-myeon, B: Haengamdong, C: Hacheong-myeon, D: Jam-do) were constituted. During observation period, 1 spawning ground was found in Tongyeong area in January. In Jinhae Bay spawning grounds were found at 3 stations (A, B, D) out of 4 stations in February. Regarding the surrounding environment of spawning ground found at Yeongunri, Tongyeong, various kinds of seaweeds were distributed up to 1–5 m depth, and many branch type red algae were distributed. In case of Jinhae Bay, seaweeds were widely distributed from shallow water to 5 m depth. In addition, the scope that eggs were attached was considerably wide compared to Tongyeong area, and they were found at all the 3 spots, so C. pallasii is thought to use Jinhae Bay for its spawning ground widely. Eggs were attached from the surface to 3–4 m, and like Tongyeong area, eggs were attached to mostly branch type of red algae. The results of this study suggest that the spawning season of the C. pallasii in coast waters off Gyeongnam is until mid-February. 相似文献
15.
《African Journal of Marine Science》2013,35(2):487-499
The spawning habitats of anchovy Engraulis encrasicolus and sardine Sardinops sagax in the southern Benguela upwelling ecosystem were characterised by comparing their egg abundances with environmental variables measured concomitantly during two different survey programmes: the South African Sardine and Anchovy Recruitment Programme (SARP), which comprised monthly surveys conducted during the austral summers of 1993/94 and 1994/95; and annual pelagic spawner biomass surveys conducted in early summer (November/December) from 1984 to 1999. Eggs were collected using a CalVET net. Physical variables measured included sea surface temperature (SST), surface salinity, water depth, mixed-layer depth, and current and wind speeds; biological variables measured included phytoplankton biomass, and zooplankton biomass and production. Spawning habitat was identified by construction of quotient curves derived from egg abundance data and individual environmental variables, and relationships between these variables were determined using multivariate co-inertia analysis. SARP data showed that anchovy spawning was associated with cool water and moderate wind and current speeds, whereas sardine spawning was related to warmer water and more turbulent and unstable conditions (i.e. high wind speeds and strong currents) than for anchovy. SARP data also showed significant differences in selection of spawning habitat of the two species for all environmental variables. The relationship between anchovy egg abundance and salinity was strongly positive, but strongly negative with water depth, phytoplankton biomass and zooplankton production. Sardine egg abundance was strongly positively related to current speed. The spawner biomass survey data demonstrated that the spawning habitat of anchovy was characterised by warm water and high salinity, whereas sardine spawning was associated with cool water and low salinity. The survey data showed significant differences in spawning habitat selection by anchovy and sardine for SST, salinity and zooplankton biomass, but not for the other environmental variables. There was a positive relationship between anchovy egg abundance and SST, salinity and mixed-layer depth, and a negative relationship with water depth, phytoplankton biomass and zooplankton production. For sardine there was a strong positive relationship between egg abundance and current speed and wind speed. Differences in the results between the two survey programmes could be attributable to differences in their spatio-temporal coverage. Spawning habitats of anchovy and sardine appear to be substantially different, with anchovy being more specific than sardine in their preference of various environmental conditions. 相似文献
16.
基于个体模型的东海鲐鱼渔场形成机制研究 总被引：4，自引：2，他引：2
鲐鱼Scomber japonicus资源丰富,在我国近海渔业中占有重要地位。其渔场的形成受海洋环境的制约,本文确定鲐鱼运动和物理环境之间的响应关系,建立起了基于个体的东海鲐鱼生长洄游模型。结果显示,鲐鱼集群分布与捕捞生产渔场基本吻合,鲐鱼聚集主要受台湾暖流、大陆沿岸水、黑潮影响,往往集群在一定温度范围内并在冷暖交汇区温盐梯度大偏暖水一侧。在台湾暖流和沿岸水交汇的锋面附近、台湾暖流暖水舌前端、黑潮与中国大陆沿岸水形成的潮境区域均有大量的鲐鱼聚集,并形成渔场。产卵位置的变动使偏西产卵位置的鲐鱼由于受台湾暖流影响较大,鲐鱼会呈长带状大量聚集在台湾暖流和沿岸水的锋面附近,并使在台湾暖流暖水舌前端的聚集数量增多,而偏东的产卵的鲐鱼受黑潮影响较大,聚集分布范围较大,会使黑潮形成的锋面附近聚集数量增多,而使台湾暖水舌的前端的聚集量减少。正常产卵位置在生存率方面是最佳产卵位置。研究表明鲐鱼所处空间位置不同,会影响其集群的位置,用数值模型验证了物理环境会对鲐鱼的洄游和渔场的形成产生影响。 相似文献
17.
Xiangyu Long Rong Wan Zengguang Li Yiping Ren Pengbo Song Yongjun Tian Binduo Xu Ying Xue 《海洋学报(英文版)》2021,40(8):133-144
In recent years, Konosirus punctatus has accounted for a large portion in catch composition and become important economic species in the South Yellow Sea. However, the distribution of K. punctatus early life stages is still poorly understood. In this study, generalized additive models with Tweedie distribution were used to analyze the relationships between K. punctatus ichthyoplankton and environmental factors(longitude and latitude, sea surface temperature(SST), sea surface salinity(SSS) and depth), and predict distribution K. punctatus spawning ground and nursing ground, based on samplings collected in 6 months during 2014–2017. The results showed that K. punctatus' spawning ground were mainly distributed in central and north study area(from 33.0°N to 37.0°N).By comparison, the nursing ground shifted southward, which were approximately located along central and south coast of study area(from 31.7°N to 35.5°N). The optimal models identified that suitable SST, SSS and depth for eggs were 19–26°C, 25–30 and 9–23 m, respectively. The suitable SSS for larvae were 29–31. The K. punctatus spawning habit might have changed in the past decades, which was a response to increasing SST and fishing pressure. That needs to be proved in further study. The study provides references of conservation and exploitation for K. punctatus. 相似文献
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黄海鲱鱼的产卵场及其资源保护 总被引：1，自引：1，他引：1
目前黄渤海成汛经济鱼类已不足十种,而黄海区太平洋鲱鱼(Clupea pallasi,简称黄海鲱鱼),自1967年以来已成为黄海的重要渔业,曾经左右黄海渔业总产量。1973年以来,虽然产量逐步下降,目前仍为黄海能成汛的经济鱼类之一。但其世代波动较大,涉及因素较多,现着重对其产卵场及资源保护问题进行探讨。 相似文献
20.
基于产卵场和索饵场适宜性的西北太平洋柔鱼丰度预测 总被引：1，自引：0，他引：1
柔鱼(Ommastrephes bartramii)是北太平洋重要的经济头足类。短生命周期的特征使其资源丰度主要取决于补充量，早期生活史阶段的海洋环境将直接影响补充量大小。利用2004?2015年我国鱿钓船队在西北太平洋的生产统计数据，以及产卵场和索饵场海表水温，将产卵场和索饵场等分成不同数量的海区，运用相关性分析和随机森林模型，筛选出产卵期各月产卵场最适海表水温范围占总面积的比值(Ps)和索饵期各月索饵场最适海表水温范围占总面积的比值(Pf)与单位捕捞努力量渔获量(CPUE)显著相关的海区，将Ps值或Pf值作为神经网络模型的输入变量，分别构建基于产卵场、索饵场的资源丰度预报模型，分析模型的优劣与预报准确度。结果表明:产卵场划分方案为5°×5°，索饵场为2.5° (经)×4° (纬)较为合适。随机森林筛选出的海区与相关性分析筛选出的适宜海区范围大致吻合，且随机森林能够识别与CPUE相关的潜在海域。模型的预报结果表明，其预报准确度均达到90%以上，随机森林筛选出的海区的最适海表水温范围占该海区的比值作为神经网络模型输入因子构建的模型优于相关性分析，预报准确度更高。基于产卵场海域构建的模型相对于索饵场，模型精确度更高、更稳定。 相似文献