Validity of sea surface temperature observed with the TRITON buoy under diurnal heating conditions

In order to investigate the validity of buoy-observed sea surface temperature (SST), we installed special instruments to measure near-surface ocean temperature on the TRITON buoy moored at 2.07°N, 138.06°E from 2 to 13 March 2004, in addition to a standard buoy sensor for the regular SST measurement at 1.5-m depth. Large diurnal SST variations were observed during this period, and the variations of the temperatures at about 0.3-m depth could be approximately simulated by a one-dimensional numerical model. However, there was a notable discrepancy between the buoy-observed 1.5-m-depth SST (SST_1.5m) and the corresponding model-simulated temperature only during the daytime when the diurnal rise was large. The evaluation of the heat balance in the sea surface layer showed that the diurnal rise of the SST_1.5m in these cases could not be accounted for by solar heating alone. We examined the depth of the SST_1.5m sensor and the near-surface temperature observed from a ship near the buoy, and came to the conclusion that the solar heating of the buoy hull and/or a disturbance in the temperature field around the buoy hull would contribute to the excessive diurnal rise of the SST_1.5m observed with the TRITON buoy. However, the temperature around the hull was not sufficiently homogenized, as suggested in a previous paper. For the diurnal rise of the SST_1.5m exceeding 0.5 K, the daytime buoy data became doubtful, through dynamics that remain to be clarified. A simple formula is proposed to correct the unexpected diurnal amplitude of the buoy SST_1.5m.     

9810号台风期间厦门近岸海域磷的分布特征

于1998年10号台风期间及台风解除后一周内，对九龙江口和西海域表层水中总磷（TP）、溶解态无机磷（DIP）、溶解态有机磷（DOP）、颗粒态磷（PP）、颗粒态无机磷（PIP）和颗粒态有机磷（POP）进行了为期9d（10月26日至11月3日）的现场观测。根据观测结果，讨论了台风对上述各形态磷的分布特征的影响，认为台风伴随的增水、入海径流量的骤增和底质再悬浮的加剧导致表层水体中各形态磷含量的短期增加。     

Responses of CO2 in surface water in subtropical West Pacific to El Niño event

In order to investigate the relationships between the change of TCO2, △PCO2 and SST, current, upwelling and biological activities during El Nin(～)o event in the subtropical Pacific, the responses of TCO2 and △PCO2 in surface water in the subtropical Pacific during El Nin(～)o and La Nina have been simulated using a three-dimension carbon cycle model with biota pump. The results of numerical simulations show that TCO2 in sea water increases with reducing of SST during mature phase of El Nin(～)o in the subtropical West Pacific . At the same period , the Kuroshio in this region was weakened , the zonal currents were divergence , the upwelling carried the water with high concentrations of CO2 to the sea surface , so both of TCO2 and △PCO2 in surface water were increased . But TCO2 and △pCO2 were decreased during La Nina period. These simulated results confirmed the observations in 1982/1983 , 1986/1987 ,1991/1995 and 1997/1998 El Nin(～)o events .     

Primary productivity in the western tropical Pacific and equatorial warm waters

ＩＮＴＲＯＤＵＣＴＩＯＮＢｙｓｔｕｄｙｉｎｇｃｈｌｏｒｏｐｈｙｌｌａｎｄｐｒｉｍａｒｙｐｒｏｄｕｃｔｉｖｉｔｙｉｎｏｃｅａｎ ,ｅｉｔｈｅｒｉｎｔｈｅｂｉｇ ｓｃａｌｅｏｒｉｎｔｈｅｓｍａｌｌｓｃａｌｅ ,ｔｈｅｐｒｏｄｕｃｔｉｖｉｔｙｄｉｓｔｒｉｂｕｔｉｏｎａｎｄｖａｒｉａｔｉｏｎｏｆｍａｒｉｎｅｏｒｇａｎｉｃｍａｔｅｒｉａｌｉｎｔｈｅｔｅｍｐｏ ｒａｌａｎｄｓｐａｔｉａｌｃａｎｂｅｕｎｄｅｒｓｔｏｏｄ .Ｔｈｅｓｅａａｒｅａｓ ,ｓｉｔｕａｔｉｎｇｉｎｔｈｅｗｅｓｔｅｒｎｔｒｏｐｉｃａｌＰａｃｉｆｉｃ…     

广西崇左三合巨猿大洞早更新世小哺乳动物群

最近在广西崇左三合大洞发现了步氏巨猿和似人似猿共生的新层位,与之伴生的有52种小哺乳动物,占三合大洞巨猿动物群总数的62%,其中苏门答腊兔（Nesolagus）是东南亚地区首次发现的化石。小哺乳动物群以南方早更新世常见的偏皮氏毛耳飞鼠（Belomys parapearsoni）、中间猪尾鼠（Typhlomys intermedius）、拟低冠竹鼠（Rhizomys brachyrhizomyoides）、硕豪猪（Hystrix magna）、先社鼠（Niviventer preconfucianus）、拟爱氏巨鼠（Leopoldamysedwardioidesi）等为代表,根据小哺乳动物群性质和与其他动物群对比以及磁性地层年代测定,表明其时代应是早更新世中期（约距今120¹60万年前）。该动物群由树鼩、扁颅蝠、小彩蝠、飞松鼠、笔尾树鼠、猪尾鼠等几乎是旧大陆热带-亚热带森林型动物组成,缺少北方类型,基本上属于热带森林动物群,这表明了当时的自然景观为温暖湿润的热带雨林环境。三合大洞小哺乳动物群是广西地区的首次发现,对华南早更新世巨猿动物群详细划分,探讨步氏巨猿演化和早期人类环境背景等目前科学界关注的问题具有重要的意义。     

Particulate content of savanna fire emissions

As part of the FOS-DECAFE experiment at Lamto (Ivory Coast) in January 1991, various aerosol samples were collected at ground level near prescribed fires or under local background conditions, to characterize the emissions of particulate matter from the burning of savanna vegetation. This paper deals with total aerosol (TPM) and carbon measurements. Detailed trace element and polycyclic hydrocarbon data are discussed in other papers presented in this issue.Near the fire plumes, the aerosols from biomass burning are primarily of a carbonaceous nature (C%70% of the aerosol mass) and consist predominantly of submicron particles (more than 90% in mass.) They are characterized by their organic nature (black to total carbon ratio Cb/Ct in the range 3–20%) and their high potassium content (K/Cb0.6). These aerosols undergo aging during their first minutes in the atmosphere causing slight alterations in their size distribution and chemical composition. However, they remain enriched in potassium (K/Cb=0.21) and pyrene, a polycyclic aromatic hydrocarbon, such that both of these species may be used as tracers of savanna burning aerosols. We show that during this period of the year, the background atmosphere experiences severe pollution from both terrigenous sources and regional biomass burning (44% of the aerosol). Daynight variations of the background carbon concentrations suggest that fire ignition and spreading occur primarily during the day. Simultaneous TPM and CO₂ real-time measurements point to a temporal and spatial heterogeneity of the burning so that the ratio of the above background concentrations (TPM/CO₂) varies from 2 to 400 g/kg C. Smoldering processes are intense sources of particles but particulate emissions may also be important during the rapidly spreading heading fires in connection with the generation of heavy brown smoke. We propose emission factor values (EF) for aerosols from the savanna biomass burning aerosols: EF (TPM)=11.4±4.6 and 69±25 g/kg C_{dry plant} and EF(Ct)=7.4±3.4 and 56±16 g C/kg C_{dry plant} for flaming and smoldering processes respectively. In these estimates, the range of uncertainty is mostly due to the intra-fire variability. These values are significantly lower than those reported in the literature for the combustion of other types of vegetation. But due to the large amounts of vegetation biomass being burnt in African savannas, the annual flux of particulate carbon into the atmosphere is estimated to be of the order of 8 Tg C, which rivals particulate carbon emissions from anthropogenic activities in temperate regions.     

大理州2005年初夏干旱成因探析

大理州2005年初夏出现了严重干旱气象事件.从500pHa高空环流特征、500pHa距平场特征、西太平洋副高特征量及北太平洋中低纬海温距平场、OLR距平场对这次干旱的成因进行了分析,分析结果表明：2005年初夏（4月1日～6月10日）降水异常偏少气温明显偏高是发生干旱的主要原因,高空大气环流异常、西太平洋副高持续偏强偏西、冷空气活动偏北是导致干旱的直接原因;孟加拉湾南部4月OLR场呈明显正距平,抑制低值系统的发展和东北移影响云南,是影响2005年大理初夏干旱重要原因;北太平洋中低纬海温特征与大理州初夏干旱有一定的遥相关性.     

Modeling the cyclic swelling pressure of mudrock using artificial neural networks

The stochastic nature of the cyclic swelling behavior of mudrock and its dependence on a large number of interdependent parameters was modeled using Time Delay Neural Networks (TDNNs). This method has facilitated predicting cyclic swelling pressure with an acceptable level of accuracy where developing a general mathematical model is almost impossible. A number of total pressure cells between shotcrete and concrete walls of the powerhouse cavern at Masjed–Soleiman Hydroelectric Powerhouse Project, South of Iran, where mudrock outcrops, confirmed a cyclic swelling pressure on the lining since 1999. In several locations, small cracks are generated which has raised doubts about long term stability of the powerhouse structure. This necessitated a study for predicting future swelling pressure. Considering the complexity of the interdependent parameters in this problem, TDNNs proved to be a powerful tool. The results of this modeling are presented in this paper.     

A Bay–River Coupled Model for Storm Surge Prediction Along the Andhra Coast of India

The paper describes a two-dimensional bay–river coupled numerical model for storm surges along the Andhra coast of India. The effect of the Krishna and Godavari rivers on the surge development is analysed. A comparative study of the surge generated by a tropical cyclone with and without the inclusion of rivers is done in detail. Three cyclones that struck the Andhra coast in November 1977, May 1990 and November 1996 were used for the simulation studies. It is found that the idealized model without a river overestimates the sea-level elevation as compared to a more realistic bay–river coupled model. The temporal variation of surge values at the mouth of the rivers is also studied for all three cyclone cases. It is found that the effect of the presence of rivers depends on the strength of the cyclone, its point of landfall and the location of the rivers with respect to the landfall point.