ECOLOGICAL SERIES OF SOIL ANIMALS IN DARLIDAI MOUNTAIN

The ecological series of soil animals under the broad-leaved and pine mixed forest in Darlidai Mountainwas studied. Seven sample plots were selected according to different altitude gradients, which belong to different vegeta-tion types. By investigating and analyzing soil animals in every sample plot it is found that there are 45 groups and 1956individuals, which axe involved in 3 phylums, 7 classes, 16 orders, respectively. The altitude is a key factor which af-fects ecological series of soil animals. Both the groups and individuals of soil animals increase with altitude increasingunder certain conditions, which contrastes with ordinary cases, resulting from special micro-climate in studied area. Thegroups and individuls of soil animals are the most under the broad-leaved and pine forest on the top of the mountain, andthe least under Picea-Abies forest in the foot of the mountain.     

对济南地区基坑降水引起既有地基沉降的认识

结合工程经验,对基坑降水引起的周边既有建筑地基沉降的影响因素进行了总结,针对采用分层总和法估算降水引起地基沉降公式中,对应附加应力段的压缩系数取值不准问题,提出了采用基于地层应力历史的降水引起周边地基沉降的估算方法,并结合工程实例对降水引起地基沉降进行了预测。     

珠江三角洲秋季大气边界层温度和风廓线观测研究

根据2004年10月珠江三角洲3个代表性观测点大气边界层观测资料, 分析了珠江三角洲秋季大气边界层温度和风廓线特征。结果表明:珠江三角洲秋季气温递减率较低, 逆温出现频率较高, 强度较弱, 海风使珠江口贴地逆温的出现时间推迟、低空逆温的出现频率增加。珠江三角洲秋季受多种局地环流影响, 边界层内风廓线比较复杂, 晚上城市群与非城市群地区风向有明显差别; 城市群和珠江口多次分别观测到城市热岛环流和海风环流。     

Concentrations of metallic elements in long-range-transported aerosols measured simultaneously at three coastal sites in China and Japan

To determine the effects of long-range transport of aerosols from an upwind area in East Asia to a downwind area in Japan, we chemically analyzed aerosols collected simultaneously on Tuoji Island (Shandong Province, China), Fukue Island (Nagasaki Prefecture, Japan), and Cape Hedo (Okinawa Prefecture, Japan). We focused on changes in the metallic composition of PM_2.5 aerosols during long-range transport. The average mass concentrations of PM_2.5 at the three sites decreased in the order Tuoji Island > Fukue Island ≈ Cape Hedo (48.3 ± 4.5, 13.9 ± 1.5, and 13.2 ± 0.9 μg/m³, respectively). The fraction of coarse particles in total suspended particles estimated by (1–PM_2.5/TSP) was highest on Cape Hedo, indicating that the contribution of sea salts was increased by long-range transport of the aerosols over the ocean. Enrichment factor analysis revealed that at all three sites, Al, K, Ca, Mn, Fe, Co, Sr, and Ba originated from soil; whereas Cr, Ni, Cu, Zn, As, Mo, Ag, Cd, Sn, Sb, Tl, and P appeared to be of anthropogenic origin. Na was the most abundant element on Cape Hedo, indicating the addition of sea salts during aerosol transport. The V concentration was highest at Fukue Island, which was ascribed to V emission from ships. Sixty-one percent of the V on Fukue Island and 62% of the V on Cape Hedo were determined to have originated from ships, implicating of data obtained on dates during which backward trajectory analysis indicated that the same air mass passed over Tuoji Island, Fukue Island, and Cape Hedo in that order.     

养殖海鲡肌肉的生化组成

对海鲡肌肉的营养成分含量及氨基酸、脂肪酸、无机质组成进行了研究，结果表明，海鲡的蛋白质和脂肪含量分别为21.5%和5.5%，必需氨基酸和鲜味氨基酸分别占氨基酸总量的40.9%和37.8%，不饱和脂肪酸占脂肪酸总量的65.2%，其中C205和C226的含量分别为4.5%和12.0%，3.4kg阶段的养殖海鲡肌肉的必需氨基酸和呈味氨基酸的比率最高。     

Characteristics and Origins of Suspended Pyrite in the Mixing Zone of the Yangtze Estuary

For a long time, most studies about pyrite have focused on sediments while only a few have focused on pyrite in water. In this study, a method that combines the scanning electron microscopy(SEM) and the energy dispersive X-ray spectrometry(EDS) was used to compare pyrite particles suspended in water to those in associated bottom sediments, both obtained from the mixing zone of the Yangtze Estuary. It was found that the pyrite particles in the two media have similar morphologies and size distributions. The particle morphology mainly includes two types, single crystal and aggregate, and the particle size mainly ranges from 0.5 to 2 μm. The pyrite particles in water exhibit an increase in relative content towards the sea, and their transport and deposit processes are mainly affected by hydrodynamic conditions. It is concluded that the pyrite particles in the suspended matter mainly derived from the resuspension of sediments, which are products of the early diagenesis. Precursor minerals may appear during the formation of pyrite, but are generally restricted by the diagenetic environment and local microenvironment.     

FY-1C可见光通道衰减分析及订正试验

利用FY-1C连续两年的遥感资料,以敦煌辐射校正场为分析区,系统分析了FY-1C可见光、近红外通道的衰减特征,开展了通道衰减订正试验。分析结果表明,FY-1C除可见光通道1衰减强烈外,其它各可见光、近红外通道衰减性能稳定。利用统计分析法,可以建立定标系数衰减订正量随时间的变化关系。订正后的定标系数与2000年辐射校正场外定标实验结果一致性很好。更新后的定标系数可以有效克服通道衰减带来的通道反射率测值误差,提高FY-1C可见光、近红外通道遥感资料定量应用的精度。     

顾及噪声密度函数差异的自适应回归算法及其在人工标靶提取中的应用

仪器、周围环境和人为操作等往往会造成点云中包含大量的噪声,导致模型回归精度低等问题.RANSAC算法凭借其简单实现、稳健的优势广泛应用于解决模型回归的问题.但是,针对不同的场景,RANSAC算法需要不断地调整参数来估计最优模型解.本文考虑到RANSAC及其现有改进算法的不足,以及内群点与噪声之间往往存在密度分布差异性,...     

庐山变质核杂岩的变质变形及构造意义

庐山出露的变质核杂岩的构造层次具有典型的三层结构,即最上面的未变质沉积盖层、中间韧性流变层、核部的变质基底,其间分别以上剥离断层和拆离断层为分界线。上部沉积盖层以脆性变形为主,中间韧性流变层变形程度不一,但远离拆离带变质变形逐渐减弱,而核部的变质基底以强塑性变形为特征。对变质核杂岩南北两条地质剖面的分析,得到三个构造层次的岩石变质变形及岩性变化特征。区域动力学分析反映变质核杂岩东部原拆离带在五里正断层附近。拆离带中多硅白云母压力计得出的变质压力为0.6~1.1 GPa;锆石U-Pb年龄测试得到变质核杂岩的隆升时代为早白垩世。     

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

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.