Typhoon frequency sequence reconstruction and characteristics analysis in the Southeast Coastal Area over China during the Ming and Qing dynasties

Natural Hazards - This study involved the systematic collation of historical data from local records, government records, etc., as well as disaster data compiled by contemporary researchers....     

广清高速公路改扩建工程岩溶塌陷主要影响因素分析

岩溶塌陷对工程建设的影响不容小视。为了研究广清高速公路改扩建工程中影响岩溶塌陷的两个主要因素冲击荷载作用和地下水下降对塌陷的影响程度,在资料收集和现场调研的基础上,统计工程区12处岩溶塌陷的基本情况,总结塌陷特征并分析影响塌陷的主要因素,建立与实际覆盖层结构相符的塌陷地质模型-砂土+粉质黏土+灰岩地质模型。根据极限平衡理论,分别在冲击荷载和水位下降两种力学作用下对塌陷地质模型进行稳定性计算。通过计算得出,最大冲击荷载的作用在一定程度上会影响覆盖层的稳定性,但不是导致地面塌陷的主要因素,而地下水位下降对工程区岩溶塌陷起到了决定性的作用。通过进一步分析水位下降对塌陷的影响程度,确定水位降幅4m为警戒值, 6m为危险值,为保证施工的安全性提供一定的理论依据。     

Ab initio prediction of 29Si-NMR chemical shifts

The ability of several ab initio models to predict experimental ²⁹Si-NMR chemical shift is examined. The shielding values of trimethylsilyl chloride (A), t-butyldimethylsilyl chloride (B) and allytrimethylsilane (C) are calculated by GIAO, CSGT and IGAIM methods, using HF/6–31G^*, B3LYP/6-31G^*, HF/6–311+G^**, B3LYP/6–311+G^** and MPW1PW91/6–311+G^** models respectively. The ²⁹Si chemical shifts calculated by GIAO method using HF/6–311+G^** model are highly in agreement with those obtained experimentally. All of the models above reproduce the trends of chemical shifts in all cases studied, suggesting that the models are of practical value.     

我国断层气测量在地震科学研究中的应用现状

氢气被认为是反应断裂活动最灵敏的地球化学组分之一。研究影响断裂带氢浓度动态变化的主要因素,是科学分析断裂带氢与构造活动关系的基础工作。本文基于河南内乡马山口断层气氢气浓度与辅助测项的连续观测资料,重点分析了氢浓度变化与地温、气温、气压的相关关系,确定了主要影响因素。结果表明,氢气浓度日变化极值介于气温和地温之间,极值点靠近地温一侧。使用逐步回归方法分析进一步证明,地温、温度对氢气浓度均有影响,但地温影响更显著,气压影响不显著。总体来讲,氢浓度会受到地温和气温的双重影响,但与地温关系更为密切。     

Reconstruction of hydrometeorological time series and its uncertainties for the Kaidu River Basin using multiple data sources

This paper tried to reconstruct the time series (TS) of monthly average temperature (MAT), monthly accumulated precipitation (MAP), and monthly accumulated runoff (MAR) during 1901–1960 in the Kaidu River Basin using the Delta method and the three-layered feed forward neural network with backpropagation algorithm (TLBP-FFNN) model. Uncertainties in the reconstruction of hydrometeorological parameters were also discussed. Available monthly observed hydrometeorological data covering the period 1961–2000 from the Kaidu River Basin, the monthly observed meteorological data from three stations in Central Asia, monthly grid climatic data from the Climatic Research Unit (CRU), and Coupled Model Intercomparison Project Phase 3 (CMIP3) dataset covering the period 1901–2000 were used for the reconstruction. It was found that the Delta method performed very well for calibrated and verified MAT in the Kaidu River Basin based on the monthly observed meteorological data from Central Asia, the monthly grid climatic data from CRU, and the CMIP3 dataset from 1961 to 2000. Although calibration and verification of MAP did not perform as well as MAT, MAP at Bayinbuluke station, an alpine meteorological station, showed a satisfactory result based on the data from CRU and CMIP3, indicating that the Delta method can be applied to reconstruct MAT in the Kaidu River Basin on the basis of the selected three data sources and MAP in the mountain area based on CRU and CMIP3. MAR at Dashankou station, a hydrological gauge station on the verge of the Tianshan Mountains, from 1961 to 2000 was well calibrated and verified using the TLBP-FFNN model with structure (8,1,1) by taking MAT and MAP of four meteorological stations from observation; CRU and CMIP3 data, respectively, as inputs; and the model was expanded to reconstruct TS during 1901–1960. While the characteristics of annual periodicity were depicted well by the TS of MAT, MAP, and MAR reconstructed over the target stations during the period 1901–1960, different high frequency signals were captured also. The annual average temperature (AAT) show a significant increasing trend during the 20th century, but annual accumulated precipitation (AAP) and annual accumulated runoff (AAR) do not. Although some uncertainties exist in the hydrometeorological reconstruction, this work should provide a viable reference for studying long-term change of climate and water resources as well as risk assessment of flood and drought in the Kaidu River Basin, a region of fast economic development.     

相对湿度对黄瓜叶片光合特性的影响

以黄瓜“津优1号”为试材,于2011年4月在南京信息工程大学进行人工环境控制试验,设计8个相对湿度梯度,用LI 6400进行光合参数的测定,系统研究不同相对湿度处理对黄瓜叶片光合特性的影响。结果表明：黄瓜叶片的净光合速率和胞间CO2浓度随着相对湿度的减小而降低;气孔导度、蒸腾速率和叶片的水分利用效率在相对湿度为75%时达到最大;而气孔限制值在相对湿度为75%时降到最低;黄瓜叶片最大光合作用速率（Pmax）与空气相对湿度呈指数关系：Pmax=22375e189085fRH;随空气相对湿度的减小,黄瓜叶片的表观量子效率、光饱和点均降低,而光补偿点增加;相关分析表明,净光合速率与叶面水汽压差呈负相关,而与气孔导度、胞间CO2浓度、相对湿度、蒸腾速率均呈正相关,且相关性均达到极显著水平。     

Hadoop环境下基于SparkSQL海量自动站数据查询统计初探

在Hadoop分布式计算和存储架构下,自定义ETL数据清洗规则将海量自动站小时单站文件按所属年和站号合并为大文件流转存储至HDFS中,并运用SparkSQL并行计算框架进行统计处理生成常用气象要素日统计值。结果表明,数据处理和获取时效较关系型数据库方式有显著提升。采用SparkSQL并行计算框架对多气象要素多站点和长时间序列进行数据统计处理查询均能达到秒级别响应,并随着统计站点数的不断增加和时间跨度的延长其优势更为明显,能更高效地支撑此类气象数据服务,为海量气象数据处理从关系型数据库到大数据分布式架构的转换处理提供了新思路。     

模式内部变率引起的1.5℃和2℃升温阈值出现时间模拟的不确定性研究

模式内部变率是模拟结果不确定性的重要来源,然而它对于1.5℃和2℃升温阈值出现时间不确定性的影响尚不清楚。因此,基于耦合模式比较计划第五阶段(CMIP5)的多模式数据研究了模式内部变率对1.5℃和2℃升温阈值出现时间不确定性的影响以及对未来排放情景的敏感性。结果表明,模式内部变率对升温阈值出现时间模拟的影响与外强迫的影响相当,单个模式内部不同成员达到全球平均1.5℃或2℃增温的年份相差2~12年;其影响具有明显的空间差异,影响极大值出现在欧亚大陆以北洋面、白令海峡周围区域、北美东北部及其与格陵兰岛之间的海域、南半球高纬地区等;低排放情景下模式内部变率的影响大于高排放情景。     

电子信息系统防雷分单元防护思想简析

由于各种行业、各个电子信息系统的多样性、复杂性,其防雷设计往往很难做到合理、全面和完整。在十一届全运会防雷工程实践过程中,采用“分单元防护思想”对场馆及运动员村电子信息系统进行雷电防护,解决了电子信息系统综合雷电防护工程中漏防、重复防护或错防的问题。