发头裸腹溞休眠卵发育的温度因子分析

测定了不同温度下发头裸腹溞(Moina irrasa)体眠卵的孵化时间及孵化率;取最先孵出和过半数孵出的两组数据依莱奥姆积温法则求得种群休眠卵最低临界温度为12.00℃,最低有效积温为441.61℃·h;最低亚致死高温点(即最适温度)为35.16℃,以及最低死亡高温点39.44℃。种群中过半数的临界温度为12.88℃,过半数有效积温为557.10℃·h,过半数的亚致死高温点为35.56℃以及过半数死亡高温点为39.49℃。讨论了这些参数在枝角类集约化培养中休眠卵的有效保存与启用所具有的实践意义。     

RUNOFF GENERATION CHARACTERISTICS IN TYPICAL EROSION REGIONS ON THE LOESS PLATEAU

1 mTRODUCT1ONThe Loess Plateau in the central and westem China with an area of 430,(X)0 lQn2 is well known for itsancient cultUre and serious soil and water loss. About 287,(X)0 km2 of area in this region has an annualerosion be greatC than 1(XX) tlkIn2. The eroded soil totally amounts to more than 2.2 X l0' tons, amongwhich about l.6X 10' tons, on average, is delivered into the Yellow kiver mdeng the river one of thehighest sediment-laden rivers in the word. The serious soil erosion …     

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海底双相随机介质声反射的SVM神经网络分类识别研究

考虑海底沉积介质为双相介质,为了更好地模拟实际海底底质的不均匀性,将随机介质理论引入双相介质理论。首先,通过基于随机-双相介质理论的高阶有限差分数值技术模拟计算海底底质分别为泥质砂、泥、泥质砾时的地震反射波信号。然后利用小波变换分别求取不同底质的一次反射波的包络作为其特征向量,最后利用基于粒子群智能算法优化的支持向量机神经网络对这些反射波信号进行分类识别。为了进一步考察所用方法的抗噪能力,对正演得到的海底底质反射波信号分别加入10%、30%、50%的高斯白噪音之后再进行分类,支持向量机仍然取得了较好的分类预测效果。基于上述正演模拟及分类识别方法的论证,提出了一套行之有效的微机软件模拟海底沉积物分类识别的一般化流程,这将有利于开展海底沉积物反射特征的进一步研究。     

利用掩星技术研究南极地区顶部电离层特性

掩星观测能够提供地面到低轨卫星轨道高度处的整个电离层电子密度剖面,对于顶部电离层的研究有重要的作用。本文利用COSMIC(constellation observing system for meteorology ionosphere and climate)掩星数据反演了电子密度剖面,提取了F₂层峰值高度(hmF2)、F₂层峰值密度(NmF2)、垂直标尺高(vertical scale height,VSH)等电离层参数,研究了南极地区的F₂层在太阳活动周期内的变化、年际变化、周日变化等,并且重点分析了南极地区的顶部电离层的垂直结构特征,尤其是威德尔海异常在垂直方向上的变化。结果表明,整个南极的hmF2每日均值在250~300 km左右,NmF2每日均值在1~8×10¹¹ el/m³之间,VSH每日均值在100~250 km,威德尔海异常主要表现在顶部电子密度的增强和底部电子密度的减少。     

冷泉活动区气泡羽状流数值模型研究

羽状流对天然气水合物的识别起到了间接指示作用,为研究冷泉活动区气泡羽状流产生的地震响应,需建立符合实际羽状流特征的模型。为此,参考实际羽状流赋存状态,结合含气泡水体特征,在已建立模型基础上,从羽状流气泡的垂直运移规律、分布特点及羽状流外观特征上对模型进行了改进,先后获得3个羽状流模型,最后的模型Ⅲ更接近实际羽状流赋存特征。通过与实际羽状流的对比,讨论分析了模型Ⅲ的合理性,并得出结论：所建模型体现了实际羽状流气泡的本质特征,并包含了更为复杂的气泡含量变化,可用于进一步深入研究羽状流地震响应特征,也为气泡羽状流的地震识别及天然气水合物的相关研究提供了较好的数值模型。     

Numerical simulation of bubble plumes and an analysis of their seismic attributes

To study the bubble plume’s seismic response characteristics, the model of a plume water body has been built in this article using the bubble-contained medium acoustic velocity model and the stochastic medium theory based on an analysis of both the acoustic characteristics of a bubble-contained water body and the actual features of a plume. The finite difference method is used for forward modelling, and the single-shot seismic record exhibits the characteristics of a scattered wave field generated by a plume. A meaningful conclusion is obtained by extracting seismic attributes from the pre-stack shot gather record of a plume. The values of the amplitude-related seismic attributes increase greatly as the bubble content goes up, and changes in bubble radius will not cause seismic attributes to change, which is primarily observed because the bubble content has a strong impact on the plume’s acoustic velocity, while the bubble radius has a weak impact on the acoustic velocity. The above conclusion provides a theoretical reference for identifying hydrate plumes using seismic methods and contributes to further study on hydrate decomposition and migration, as well as on distribution of the methane bubble in seawater.     

三轴椭球表面积的近似计算

推导出了一组三轴椭球表面积近似计算的级数展开公式,并对应地给出了三轴椭球退化为扁椭球和旋转椭球时的表面积公式。该组公式通过引入偏心率、第三扁率等扁率,使公式结构上更为简洁,具有对称性,进一步完善了椭球表面积的计算理论。验算分析表明,相比于传统的近似公式,给出的近似计算公式的精度显著提高,具有实用价值。     

Estimation and Long-term Trend Analysis of Surface Solar Radiation in Antarctica: A Case Study of Zhongshan Station

Long-term,ground-based daily global solar radiation (DGSR) at Zhongshan Station in Antarctica can quantitatively reveal the basic characteristics of Earth’s surface radiation balance and validate satellite data for the Antarctic region.The fixed station was established in 1989,and conventional radiation observations started much later in 2008.In this study,a random forest (RF) model for estimating DGSR is developed using ground meteorological observation data,and a highprecision,long-term DGSR dataset is constructed.Then,the trend of DGSR from 1990 to 2019 at Zhongshan Station,Antarctica is analyzed.The RF model,which performs better than other models,shows a desirable performance of DGSR hindcast estimation with an R~2 of 0.984,root-mean-square error of 1.377 MJ m~(-2),and mean absolute error of 0.828 MJ m~(-2).The trend of DGSR annual anomalies increases during 1990–2004 and then begins to decrease after 2004.Note that the maximum value of annual anomalies occurs during approximately 2004/05 and is mainly related to the days with precipitation (especially those related to good weather during the polar day period) at this station.In addition to clouds and water vapor,bad weather conditions (such as snowfall,which can result in low visibility and then decreased sunshine duration and solar radiation) are the other major factors affecting solar radiation at this station.The high-precision,longterm estimated DGSR dataset enables further study and understanding of the role of Antarctica in global climate change and the interactions between snow,ice,and atmosphere.     

MODIS多波段数据对南极海冰变化的监测研究

以归一化雪被指数法为基础根据南极的环境特点提出了MODIS影像的0．86m与1．24m的新波段组合方法分别实现了晴空与薄云下的海冰提取大幅度地提高了南极海冰监测的效率与分辨率 结合AMSR－E微波数据进行了海冰变化研究得到2002 2010年的全南极海冰范围与净冰面积都在2月份达到最小值均值分别为3．17×106　km2与2．42×106　km2 都在9月份达到最大值均值分别为18．40×106　km2与16．60×106　km2 而全南极海冰的年际变化可分为三个阶段从2002 2004年海冰基本持平2005 2007年海冰减少2008 2010年海冰重新增长这与南极海冰20a长周期的推断相符合但9年间的全南极海冰无明显的趋势性变化