DSQ型水管倾斜仪电压灵敏度的调整技巧

DSQ型水管倾斜仪是“九五”期间推出的数字化地震前兆仪器，本文介绍了一些如何调整换能器的电压灵敏度及调整中的技巧。     

春季对流层温度的季内和季节以上分量对南海夏季风爆发的年代际变化的相对影响

南海夏季风爆发时间在1993/1994年出现显著的年代际提早, 探讨了大气要素场的不同时间尺度分量季节演变的年代际变异对南海夏季风爆发时间的年代际变异的相对影响作用。南海夏季风爆发时间的年代际提早与南海季风区对流层经向温度梯度季节性逆转的年代际提早有密切联系。南海季风区5月中对流层经向温度梯度年代际增强主要由季风区北部温度的年代际显著增暖造成。季内分量和季节以上分量对1993年之前南海季风区经向温度梯度逆转及加强时间偏晚的作用同等重要。经向温度梯度距平的季节以上分量主要源于季风区北部温度相应分量的贡献, 而季节内分量则主要由南部相应分量影响所致, 并由25~90 d分量所主导。季节以上分量对1994年之后南海季风区经向温度梯度逆转及加强时间偏早的贡献要大于季节内分量的贡献。经向温度梯度距平的季节以上分量和季内分量对总距平的正贡献都主要来自于季风区北部温度相应分量。两种季内低频分量对温度梯度季内分量的贡献率相当, 10~25 d分量主要由南海北部温度相应分量所主导, 25~90 d分量对总距平的正贡献也源自北部分量。准双周振荡分量对各年代南海夏季风爆发具有明显的触发作用。      

基于卫星高度计资料分析南海热含量的年际变化特征

本文从海面高度异常与海洋热含量变化的线性关系出发,利用1992～2004年多颗卫星融合海面高度资料,对南海海域的热含量异常进行了计算.这一计算结果与基于气候态温盐资料计算的热含量季节变化具有很好的一致性.本文得到的结果还显示南海热含量异常具有明显的长周期变化,表现为:1992～1998年基本保持比较稳定的年际变化特征,1998年之后,热含量出现明显的跃变,这一跃变一直维持到2001年,在2002年开始出现热含量的递减趋势.对此时间序列进行谐波分析可以看出,南海热含量异常除了具有显著的年变化周期外,还存在明显的0.5、1.5、2.4、4年和6年的变化周期.进一步分析还发现,南海12月份热含量异常可以作为南海夏季风爆发的一种预报指标.     

南海夏季风爆发前后亚洲地区的大尺度环流突变

用１９８０—１９８６年的ＥＣＭＷＦ资料分析了南海季风爆发前后大气环流突变的平均特征。结果表明：南海季风的爆发一般发生在５月１０日前后，大气环流出现一次明显突变──高空南亚高压由１０—１５°Ｎ骤然北跳到１５—２０°Ｎ，南海北部西风转为东风；低空南海北部及附近地区西南风迅速加强并向东扩展，而中纬地区的偏北风也相应加强南压，青藏高原东南部到中国长江中下游一带为温度、湿度梯度大值区；中国西南地区出现低压环流。同时，青藏高原东南部及中国东部平原地区对流层大气发生急速增暖，大气热源和水汽汇明显增强。在南海季风爆发后南海北部大气热源亦显著增强，但比风场的突变落后５—１０天，而西沙海温的变化与季风爆发却比较一致。另外，地形对大气热源的分布有一定的影响，青藏高原东南坡的加热对南海季风的爆发可能比较重要。     

Onset voltages of atmospheric corona discharges on coniferous trees

In this article, the phenomenon of generation of corona discharges on the tops of trees and plants is described. In the first part of the text, the conditions for generation of this electric field which leads to formation of corona discharge and transfer of electric charge between atmosphere and Earth, are discussed. Experimental results of the onset voltage and its dependence on the discharge parameters are presented. The coincidence between released species from corona burning point and surrounding atmosphere is also discussed. Equation for the calculation of critical intensity of the electric field and onset voltage in dependence on radius of the tip are also discussed and compared with experimental data and equations for current–voltage characteristics are described. The attempt to explain differences between theory and measured data is proposed.     

南海夏季风爆发期间的波包传播特征

利用2004年和1998年强弱南海夏季风年的逐日位势高度场资料,从能量传播的角度诊断分析了南海夏季风爆发期间的波包传播特征及其与季风爆发的联系.结果表明(1)孟加拉湾是南海季风爆发的关键区域.(2)南海季风爆发前,南海地区的波包值有明显的突变,可能体现了季风爆发的爆发性特征.(3)1998弱夏季风年波包值相对较小,传播较慢;2004强夏季风年波包值相对较大,传播迅速.(4)南海夏季风爆发前,对流层整层的波包值都随时间增加,爆发前一天低层和高层的波包值有相同的变化,夏季风爆发之后,低层波包值与高层的波包值有反相的变化.     

Onset of scour below pipelines and self-burial

This paper summarizes the results of an experimental study on the onset of scour below and self-burial of pipelines in currents/waves. Pressure was measured on the surface of a slightly buried pipe at two points, one at the upstream side and the other at the downstream side of the pipe, both in the sand bed. The latter enabled the pressure gradient (which drives a seepage flow underneath the pipe) to be calculated. The results indicated that the excessive seepage flow and the resulting piping are the major factor to cause the onset of scour below the pipeline. The onset of scour occurred always locally (but not along the length of the pipeline as a two-dimensional process). The critical condition corresponding to the onset of scour was determined both in the case of currents and in the case of waves. Once the scour breaks out, it will propagate along the length of the pipeline, scour holes being interrupted with stretches of soil (span shoulders) supporting the pipeline. As the span shoulder gets shorter and shorter, more and more weight of the pipeline is exerted on the soil. In this process, a critical point is reached where the bearing capacity of the soil is exceeded (general shear failure). At this point, the pipe begins to sink at the span shoulder (self-burial). It was found that the self-burial depth is governed mainly by the Keulegan–Carpenter number. The time scale of the self-burial process, on the other hand, is governed by the Keulegan–Carpenter number and the Shields parameter. Diagrams are given for the self-burial depth and the time scale of the self-burial process.     

Numerical Simulation of North Indian Ocean State Prior to the Onset of SW Monsoon Using SSM/I Winds

The Sea Surface Temperatures (SST) and currents are simulated over the north Indian Ocean, during the onset phase of southwest monsoon for the three years 1994, 1995, and 1996, using daily Special Sensor Microwave/Imager (SSM/I) winds and National Center for Environmental Prediction (NCEP) heat fluxes as forcings in the 2½ layer thermodynamic numerical ocean model. The results are discussed for the 30-day period from 16 May to 13 June for all the three years, to determine the ocean state during the onset phase of SW monsoon. The maximum variability in the simulated SST is found along the Somali coast, Indian coasts, and equatorial regions. The maximum SST in the North Arabian Sea is found to be greater than 30°C and minimum SST in the west equatorial region is 25°C during the onset phase of all three years. Model SSTs are in agreement with Reynolds SST. SST gradients in the north-south as well as in the east-west directions, west of 80°E are found to change significantly prior to the onset. It can be inferred from the study that the SST gradient of 2.5°C/2000 km is seen due north and due west of the region 2° - 7°S, 60° - 65°E, about 8 to 10 days prior to the arrival of SW monsoon near Kerala coast. Upper and lower layer circulation fields do not show prominent interannual variability.     

Dry spells assessment with reference to the maize crop in the Luvuvhu River catchment of South Africa

Agricultural productivity in South Africa is negatively affected by drought as a result of frequent periodic dry spells and increasing crop water demands resulting in poor crop development and low yields. Thus, we embarked on this study which aims at investigating dry spell occurrences in relation to growing season of maize in the Luvuvhu River Catchment. Daily rainfall data (1945–2014) from 12 stations which represent the catchment fairly well was utilized in this study. Three consecutive planting dates were staggered based on three consecutive onsets of the rainy season. Dry spells were categorized into three groups: short, medium and long dry spells. The data was then subjected to theoretical distribution fitting using the Anderson–Darling goodness-of-fit test; and probabilities of occurrence were computed using a probabilistic model that best fits the data. Trend analysis was performed on the frequency of dry spells per growing period using the non-parametric Spearman's rank correlation test. Out results indicated high probabilities (≥80%) of short dry spells at all the stations irrespective of the timing of planting. Further analysis revealed that a risk of yield reduction with planting following the first onset of rains was higher than that with planting following the second and third onsets. In order to minimize this risk, farmers can be advised to plant between mid-November to mid-December. Trend analysis indicated no trend for all the various dry spell lengths except for Thohoyandou with a decreasing trend and Sigonde with a weak increasing trend in long dry spells. Such findings can be used to describe drought conditions for improvement of agricultural productivity and food security, in a given area.