STUDY OF RED TIDE PREDICTION MODEL FOR THE CHANGJIANG ESTUARY

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Nonlinear Coupled Analysis of a Single Point Mooring System

Coupled effects on a single point mooring(SPM) system subjected to the combined action of wind,waves and current are studied in this paper. Due to the complicatedness of the sea state and the huge size of the vessel,physical experimental study is both time consuming and uneconomical,whereas the numerical study is cost-effective and DNV software provides powerful SESAM software in solving the issues. This paper focuses on the modeling process of the SPM system,catenary equilibrium calculation,static analysis of the vessel in three different scenarios,and dynamic response simulation of the SPM system under environmental excitations. The three scenarios in study are as follows:the SPM is under the combined function of(a) wind,waves and current,(b) wind and waves,(c) current and waves. They are so set that one can compare the contributions of different types of loads in both static and dynamic studies. Numerical study shows that wind and current are the two major factors contributing to the mooring line tension,and surge and sway are the two dominant motions of the moored vessel subjected to environmental excitations.     

基于阈值光电子-光离子符合技术的分子离子光谱和解离动力学研究

对电子和离子同时采用速度聚焦电场收集的阈值光电子-光离子符合成像谱仪能够有效提高电子的收集效率和能量分辨率.利用该符合成像谱仪,开展了Xe/Ar/Ne 惰性混合气体及NO 分子的阈值光电子谱、阈值光电子-光离子符合质谱和质量选择的符合光谱等实验研究,精确测量了NO 分子的电离势,并且获得了NO⁺离子振动态分辨的X¹Σ⁺,c³Π和B¹Π态光谱.还进一步研究了NO^{+ 相似文献}   

人工神经网络在云南5月雨量预测中的应用

提出了一个基于３层ＰＢ神经网络的云南５月雨量的短期气候预测模型。由于神经网络本身是一个非线性动态系统，将其应用到短期气候变化预测这一非线性系统中，更能反映出气候系统状态量之间的物理关系和动力行为特性。并用该预测模型对云南５个区域１９９１～１９９８年的５月雨量距平趋势进行了共４０次的预测试验和检验，其预测的距平符号相关准确率可达到７７．５％。     

基于多元时间序列的Kn近邻预测模型

提出了一种基于多元时间序列的Ｋｎ近邻短期气候预测模型。该模型既保留了Ｋｎ近邻算法的优良特性，同时又考虑了气候系统有关状态量之间的物理关系和动力行为特性。用该模型对云南各区域的平均月雨量距平值进行预测试验，其对云南１９９１年５月～１９９８年６月的月雨量距平值预测检验的距平符号相关准确率为６３．５％，对云南１９９１～１９９８年的５月雨量距平值预测检验的距平符号相关准确率则可达到７０．０％。该模型的建立具有一定的实际业务应用价值。     

STUDY ON TRANSMISSION MECHANISM OF THERMAL INFRARED REMOTE SENSING FOR ABRUPT GEOTHERMAL ANOMALY IN VOLCANIC REGION

Ｇｅｏｔｈｅｒｍａｌａｎｏｍａｌｙｉｓａｐｈｅｎｏｍｅｎｏｎｔｈａｔｕｎｄｅｒｇｒｏｕｎｄｔｅｍｐｅｒａｔｕｒｅａｎｄｇｅｏｔｈｅｒｍａｌｇｒａｄｉｅｎｔｉｎｃｒｅａｓｅｓｍｕｃｈｍｏｒｅｉｎｔｈｅａｒｅａｔｈａｎｉｔｓｓｕｒｒｏｕｎｄｉｎｇｓ（Ｘｉａ，１９７９）．Ａｂｒｕｐｔｇｅｏｔｈｅｒｍａｌａｎｏｍａｌｙｍｅａｎｓｔｈａｔｕｎｄｅｒｇｒｏｕｎｄｔｅｍｐｅｒａｔｕｒｅｏｎｓｏｍｅｓｐｏｔｓａｓｗｅｌｌａｓｔｈｅａｆｆｅｃｔｅｄｔｅｍｐｅｒａｔｕｒｅｏｆｓｕｒｒｏｕｎｄｉｎｇａｒｅａａｂｒ…     

Triploidy induction with heat shocks toPenaeus chinensis and their effects on gonad development

Heat shocks effectively produced triploids inPenaeus chinensis. Fertilized eggs heat shocked (28–32°C) for 8 to 16 minutes, starting from 8 to 20 minutes after spawning, resulted in triploidy induction rates of 39%–75%. Several triploid populations were cultured to 10 cm. In a triploid population, two kinds of ovaries were observed. Histological examination showed apparent differences between these two kinds of ovaries, whereas among male shrimp, there were no such differences. Contribution No. 3465 from the Institute of Oceanology. Chinese Academy of Sciences. The study was supported by the International Foundation for Science, Asian Fisheries Society and Chinese Climbing Project PDB 6–2, and Chinese National 863 Project (No. 863-819-01-05).     

A comparative study of extensive machine learning models for predicting long-term monthly rainfall with an ensemble of climatic and meteorological predictors

Rainfall prediction is of vital importance in water resources management. Accurate long-term rainfall prediction remains an open and challenging problem. Machine learning techniques, as an increasingly popular approach, provide an attractive alternative to traditional methods. The main objective of this study was to improve the prediction accuracy of machine learning-based methods for monthly rainfall, and to improve the understanding of the role of large-scale climatic variables and local meteorological variables in rainfall prediction. One regression model autoregressive integrated moving average model (ARIMA) and five state-of-the-art machine learning algorithms, including artificial neural networks, support vector machine, random forest (RF), gradient boosting regression, and dual-stage attention-based recurrent neural network, were implemented for monthly rainfall prediction over 25 stations in the East China region. The results showed that the ML models outperformed ARIMA model, and RF relatively outperformed other models. Local meteorological variables, humidity, and sunshine duration, were the most important predictors in improving prediction accuracy. 4-month lagged Western North Pacific Monsoon had higher importance than other large-scale climatic variables. The overall output of rainfall prediction was scalable and could be readily generalized to other regions.     

Comparison of the effects of short-term UVB radiation exposure on phytoplankton photosynthesis in the temperate Changjiang and subtropical Zhujiang estuaries of China

We examined the effect of solar ultraviolet radiation B (UVB, 280–315 nm) on photosynthesis of natural phytoplankton assemblages in the temperate Changjiang River Estuary (CRE) in the East China Sea (ECS), and the subtropical Zhujiang River Estuary (ZRE) in the South China Sea (SCS) from August 2002 to April 2003. The short-term effect of UVB was assessed by exposing samples in quartz tubes/bottles to solar radiation under three treatments: (1) natural sunlight (NS) with UVB (NS-UVB); (2) photosynthetically active radiation (PAR, NS cut off UVB); and (3) NS with additional artificial UVB (NS + A-UVB). Solar UVB apparently inhibited phytoplankton photosynthesis rates. In the temperate CRE-ECS, solar UVB reduced surface phytoplankton photosynthesis by about 28% in August and February, while in the subtropical ZRE-SCS the inhibition was only 22% in September and October. In the CRE-ECS, phytoplankton in the stratified water column displayed stronger UVB inhibition when deeper water samples were exposed to surface UVB. Phytoplankton in the mixed water column did not show strong UVB inhibition, while light shift exposure of deeper phytoplankton in the same water column to surface light produced similar results, indicating that mixing moderates UVB effects. In the ZRE-SCS, surface phytoplankton showed greater photoinhibition in January (sunny). However, in April (cloudy), phytoplankton showed little UVB inhibition. Incubation for a short time without UVB showed a large increase in Chl a at two stations in the ZRE-SCS, but a large decrease at the other station in the presence of UVB. In contrast, in the CRE-ECS, a similar incubation experiment without UVB showed a decrease in Chl a, and small UVB inhibition of Chl a at two stations. Nutrient conditions might have played a role in the difference of UVB inhibition between the two regions as the ZRESCS had relatively high concentrations of all nutrients while PO₄ was only 0.21 μM at one of the CRE-ECS stations. The results suggest that phytoplankton in temperate waters would be more responsive to variation of UVB than ones in subtropical waters.     

Characterization of a new lectin involved in the protoplast regeneration of <Emphasis Type="Italic">Bryopsis hypnoides</Emphasis>

A group of coenocytic marine algae differs from higher plants,whose totipotency depends on an intact cell(or protoplast).Instead,this alga is able to aggregate its extruded protoplasm in sea water and generate new mature individuals.It is thought that lectins play a key role in the aggregation process.We purified a lectin associated with the aggregation of cell organelles in Bryopsis hypnoides.The lectin was ca.27 kDa with a pI between pH 5 and pH 6.The absence of carbohydrate suggested that the lectin was ...