风生涡旋对热盐环流年代际变率的影响——基于盒子模型的分析   总被引：1，自引：0，他引：1  

吴晓刚  穆穆 《海洋科学进展》2008,26(4)

大洋热盐环流（Thermohaline Circulation,简称THC）是主要源于北大西洋的深海环流,对全球经向水和热平衡具有重要的作用,是影响长期气候变化的一个重要因素。采纳了Longworth等的观点,通过添加扩散项的形式在经典的Stommel盒子模型中引进了风驱洋涡（Wind-Driven Ocean Gyre,简称WDOG）,并借鉴Sun等的研究方法,讨论了WDOG对THC年代际变率的影响。通过数值计算发现,WDOG的引入会缩短（延长）处于TH型（SA型）平衡态时的THC在扰动作用下的恢复时间。结合Wu and Mu文章的结论,可知正是由于WDOG对处于不同平衡态下THC的环流强度产生了不同的作用,因而导致了上述现象的出现。  相似文献   

Dynamics of coastline changes in Mexico     

Valderrama-Landeros  Luis H.  Martell-Dubois  Raúl  Ressl  Rainer  Silva-Casarín  Rodolfo  Cruz-Ramírez  Cesia J.  Muñoz-Pérez  Juan J. 《地理学报(英文版)》2019,29(10):1637-1654

Journal of Geographical Sciences - The goal of our work was to locate and quantify changes that occurred in 66% of the Mexican coastline, based on four land cover maps generated by the Mexican...  相似文献   

Dynamic metabolite alterations of Portunus trituberculatus during larval development     

Shi  Ce  Zeng  Tinglan  Li  Ronghua  Wang  Chunlin  Ye  Yangfang  Mu  Changkao 《中国海洋湖沼学报》2019,37(1):361-372

Journal of Oceanology and Limnology - A mass mortality often occurs from molting to the megalopa stage during the larval development of the swimming crab Portunus trituberculatus. Larvae with...  相似文献   

A method for checking the quality of geographic metadata based on ISO 19157     

Manuel Antonio Ureña-Cámara  Javier Lacasta  Francisco Javier Ariza-López 《International journal of geographical information science》2019,33(1):1-27

With recent advances in remote sensing, location-based services and other related technologies, the production of geospatial information has exponentially increased in the last decades. Furthermore, to facilitate discovery and efficient access to such information, spatial data infrastructures were promoted and standardized, with a consideration that metadata are essential to describing data and services. Standardization bodies such as the International Organization for Standardization have defined well-known metadata models such as ISO 19115. However, current metadata assets exhibit heterogeneous quality levels because they are created by different producers with different perspectives. To address quality-related concerns, several initiatives attempted to define a common framework and test the suitability of metadata through automatic controls. Nevertheless, these controls are focused on interoperability by testing the format of metadata and a set of controlled elements. In this paper, we propose a methodology of testing the quality of metadata by considering aspects other than interoperability. The proposal adapts ISO 19157 to the metadata case and has been applied to a corpus of the Spanish Spatial Data Infrastructure. The results demonstrate that our quality check helps determine different types of errors for all metadata elements and can be almost completely automated to enhance the significance of metadata.  相似文献   

Sea Level Prediction in the Yellow Sea From Satellite Altimetry With a Combined Least Squares-Neural Network Approach     

Jian Zhao  Yanguo Fan  Yuxiang Mu 《Marine Geodesy》2019,42(4):344-366

Accessible high-quality observation datasets and proper modeling process are critically required to accurately predict sea level rise in coastal areas. This study focuses on developing and validating a combined least squares-neural network approach applicable to the short-term prediction of sea level variations in the Yellow Sea, where the periodic terms and linear trend of sea level change are fitted and extrapolated using the least squares model, while the prediction of the residual terms is performed by several different types of artificial neural networks. The input and output data used are the sea level anomalies (SLA) time series in the Yellow Sea from 1993 to 2016 derived from ERS-1/2, Topex/Poseidon, Jason-1/2, and Envisat satellite altimetry missions. Tests of different neural network architectures and learning algorithms are performed to assess their applicability for predicting the residuals of SLA time series. Different neural networks satisfactorily provide reliable results and the root mean square errors of the predictions from the proposed combined approach are less than 2?cm and correlation coefficients between the observed and predicted SLA are up to 0.87. Results prove the reliability of the combined least squares-neural network approach on the short-term prediction of sea level variability close to the coast.  相似文献   

夏季通风气象指数预报     

赵娜  张德山  邓长菊  马小会  穆启占 《气象科技》2008,36(6):779-781

随着人们生活水平的提高,对室内污染越来越关注,应"中国室内环境监测委员会"提出的需求,通风气象指数于2006年6月首次向北京公众发布,文章就首先研发并投入业务使用的夏季通风指数给出了详细论述.通过对2005年夏季(6～8月)的各气象要素(气压、温、湿、风、能见度、天空状况等)资料共1790个数据做检验分析,最终选取体感温度为主要预报因子并综合考虑夏季特殊天气条件和风力以及污染的影响,得出夏季通风指数在一天中7个时段的预报公式,并划分出相应的指数等级.  相似文献   

青海省玉树地区高精度航磁调查与应用研究          下载免费PDF全文

王牧  金世杰  要悦稳  习肖伟 《地质找矿论丛》2021,36(2):202-209

青海玉树地区位于我国重要的西南"三江"成矿带,具有高海拔、切割剧烈等特点,而高精度航磁调查是一种精度高、见效快、成本低的方法技术手段.在该区运用直升机长杆硬架技术并采取随地形缓起伏的方法,获取了高质量的原始数据.在高精度航磁图上,磁异常信息十分丰富,通过详细的物性资料分析和严谨的异常解释工作,摸清了区域磁场基本特征,推...  相似文献   

我国深海矿产研究:进展与发现(2011-2020)     

石学法  符亚洲  李兵  黄牧  任向文  刘季花  于淼  李传顺 《矿物岩石地球化学通报》2021,40(2):305-318

深海矿产是地球上尚未被人类充分认识和利用的最大潜在战略矿产资源,近十年我国在该领域的研究取得了重要进展.在太平洋国际海底区域申请到2块多金属结核勘探区、1块富钴结壳勘探区,在西南印度洋中脊申请到1块多金属硫化物勘探区.研究阐明了我国多金属结核和富钴结壳勘探区小尺度成矿规律,揭示了其成矿作用过程及古海洋古气候记录,探讨了...  相似文献   

某核电厂附近海域生态环境特征及潜在致灾生物研究     

张文斌  孙伟  许歆  王洪波  郑碧琪  鲁超  李靖  穆景利 《海洋科学》2022,46(7):32-43

为了了解某核电厂周边海域的生态环境状况,筛选潜在威胁核电厂冷源安全的致灾生物,分析影响致灾生物时空分布的主要环境因素,本研究于2018年进行了4个季节的生态调查。结果表明,研究海域浮游植物密度秋季最高,春季优势种为东海原甲藻(Prorocentrumdonghaiense),其他季节优势种为中肋骨条藻(Skeletonema costatum)等硅藻。浮游动物密度夏季最高,以桡足类为主,春、夏季优势种还包括球型侧腕水母(Pleurobrachiaglobosa)和薮枝螅水母(Obeliasp.)。底栖动物的密度和生物量在秋季最高,优势种主要为豆形短眼蟹(Xenophthalmus pinnotheroides)、长吻沙蚕(Glycera chirori)和丝异须虫(Heteromastusfiliforms)。浮游植物、浮游动物和底栖动物群落均在夏季最为稳定,群落多样性水平和物种丰度较高,且分布较为均匀。浮游植物群落的细胞丰度与悬浮物和磷酸盐的浓度正相关性最高。浮游动物的密度受温度和盐度的影响较大。底栖动物的群落分布主要受悬浮物和无机营养盐的浓度影响。本研究共筛选出17种威胁该核电厂冷...  相似文献   

On the use of logistic regression for stellar classification     

Leire Beitia-Antero  Javier Yáñez  Ana I. Gómez de Castro 《Experimental Astronomy》2018,45(3):379-395

We are totally immersed in the Big Data era and reliable algorithms and methods for data classification are instrumental for astronomical research. Random Forest and Support Vector Machines algorithms have become popular over the last few years and they are widely used for different stellar classification problems. In this article, we explore an alternative supervised classification method scarcely exploited in astronomy, Logistic Regression, that has been applied successfully in other scientific areas, particularly biostatistics. We have applied this method in order to derive membership probabilities for potential T Tauri star candidates from ultraviolet-infrared colour-colour diagrams.  相似文献