Dry/Wet Changes and Their Standing Characteristics in China During the Past 531 Years

Time series of the dryness-wetness(DW) index of 531 yr(AD 1470-2000) at 42 stations in regions A(most of North China and the east of Northwest China) and B(the Yangtze-Huaihe River valley) in China are applied to investigating the historical DW characteristics over various periods of the series with a relatively stationary average value using Bernaola-Galvan(BG) algorithm.The results indicate that region A/B underwent three drought-intensive periods(DIP;1471-1560,1571-1640,and 1920-2000/1501-1540,1631-1690,and 1911-1960) in the last 531 years.In the DIP of the last 130 years,the frequency of DW transition has increased in region A,but not obviously changed in region B in comparison with the other two historical DIPs.The dry period started in about 1920 in region A with severe drought events occurring from the late 1970s to the early 1980s.It lasted for about 50-70 yr in this century,and then a DW shift took place.The wet period in region B might maintain for the coming several decades.The variations of DW in region A are positively correlated with changes in temperature,but in region B,the correlation with temperature is weaker.It is found that the number of DW indices of various categories within a running window is an exponential function of the running window length.The dryness scale factor(DSF) is defined as the reciprocal of the characteristic value of the exponential distribution,and it has a band-like fluctuation distribution that is good for the detection of extreme drought(flood) clustering events.The results show that frequencies of the severe large-scale drought events that concurrently occurred in regions A and B were high in the late 12th century,the early 13th century,the early 17th century,and the late 20th century.This provides evidence for the existence of the time-clustering phenomena of droughts(floods).     

黑龙江多宝山地区遥感找矿蚀变异常提取方法研究

通过对遥感矿化蚀变异常提取方法的研究,总结出一套针对黑龙江省大兴安岭这类植被覆盖严重地区的矿化蚀变信息提取方法.采用比值分析和主成分分析相结合的方法提取了围岩的矿化蚀变信息,得到了大兴安岭多宝山地区的遥感异常蚀变信息图,并对蚀变异常提取结果进行了野外实地考察,证实了这种方法在该地区的可行性,为该区找矿提供了一定的依据.     

中国秋季月平均气温特征及其异常研究

利用１９５１—１９９０年９—１１月月平均气温标准化距平资料，采用旋转主成分分析方法，研究中国秋季月平均气温的时空异常特征。结果表明，４０年来全国有６个主要气温变化异常区，均表现出程度不同的暖—冷—暖的演变趋势，在气温距平易号的演变过程中，东北突变最早，长江中下游最晚。     

北淮阳地区的中生界

豫皖两省的北淮阳地区中生界连成一片。长期以来，人们认为省境的本区红层均覆于中生代火山岩系之上，以致豫皖两省无法接图。经１：２０万和１：５万区域地质调查和多年来的科研工作，查明三尖铺组、凤凰台组伏于中生代火山岩系之下，厘定了本区中生代地层层序。这一层序的建立，为正确阐明本区的沉积演化和构造变动提供了可靠的依据。     

60年代亚非夏季风十年尺度的突变

在综合分析了近几十年气候资料的基础上，揭示了本世纪60年代的一次亚非夏季风十年尺度的突变。这次突变在地面温度场上表现为突变前亚非大陆是正距平，印度洋和西太平洋为负距平，海陆温差较强；突变后相反，海陆温差减弱。地面气压由突变前亚非大陆强热低压中心转变为突变后的弱低压中心。同时突变前北非和东亚夏季风增强，而突变后明显减弱。这次十年尺度的气候突变突出表现了东亚季风、印度季风和北非季风明显的变化同步性，而最显著的特征是在行星尺度的降水场上从北非撒哈拉－萨赫勒、中东、印度北部到华北干旱半干旱带上由多雨变为少雨的雨量减少带。     

青海南部高寒草地土壤冻融交替期水热特征分析

为进一步了解高寒草地土壤冻融交替过程及其对水热因子的响应机制,通过2014年8月1日至2015年8月1日不同土层土壤温度和水分观测资料的对比分析,较为系统地探讨了青南高寒草地土壤冻融期不同深度土层土壤温度和水分的变化特征。结果表明,青南高寒草地土壤冻融阶段大体可分为初冻期、稳定冻结中期、稳定冻结后期和消融期4个时期;不同土层土壤温度随气温的变化呈周期性波动,且随着土层的加深变幅减小;不同冻融期表层和亚表层土壤温度和水分波动幅度较大,下层土壤对水热因子的敏感性较小;土壤完全冻结的天数达44~115d,日冻融交替过程主要发生在表层和亚表层土壤。土壤冻融交替增强了土壤的保水性,对该区草地植被提前返青和初级生产力的提高具有促进作用。     

改进约束D-TIN的等高线陡坡区域识别

针对高线图中陡坡区域特征的自动识别问题,在应用Delaunay三角网与线性插值法生成等高线图的基础上,改进了基于最大角原则生成约束Delaunay三角网的算法,对等高线图进行了三角剖分,根据等高线之间约束三角形的几何参数,计算了等高线图坡面单元坡度,识别出坡度较高区域。进一步地,给出了一种扩张算法对相连陡坡单元进行划分形成陡坡区域,计算了各个陡坡区域中心坐标、面积与平均坡度。通过对12组有256个坐标高程值的数据构建约束D-TIN并生成三维地形图对识别结果进行了评价,识别正确率达0.903,平均识别时间为33ms。实验表明,对于不同数据生成的不同等级等高线图的识别结果均有较高的效率与准确率。     

超强台风威马逊快速增强及大尺度环流特征

超强台风威马逊（1409）登陆前发生快速增强现象,并成为我国有气象记录以来的最强登陆台风。该文利用中国气象局台风最佳路径资料、NCEP FNL分析资料、NOAA高分辨率逐日最优插值海表温度融合分析资料和天气学、动力学诊断分析方法,分析这次罕见的台风快速增强过程。研究结果表明:威马逊（1409）快速增强与持续有利背景场有关,如海温异常偏暖、低空急流和越赤道气流的增强、环境风垂直切变维持较小、高层维持较强流出气流等。尤其是台风下游大气处于热力不稳定,在其他有利因子的共同作用下,台风移入热力不稳定环境场中,有利于台风环流内部对流活动的增强和对流凝结潜热效率的增加,从而有利于台风强度增加。动能诊断方程表明:威马逊（1409）快速增强期间低层动能主要来源于风穿越等压线所作的功,这与台风环流内强降雨释放的对流凝结潜热驱动台风中心附近上升、外围下沉的垂直环流圈的加强紧密联系。     

海南热带气旋年际变化与趋势预测

利用累积距平,滑动Ｔ－检验和Ｃｒａｍｅｒ’ｓ,Ｍａｍ－Ｋｅｎｄａｌｌ等方法对影响海南的热带气旋（ＴＣ）的年频数进行趋势分析和突变检测,并利用模糊均生函数正交方法对未来１０年ＴＣ的年频数进行趋势预测。检测结果,１９４６年是少台期结束、新的多台期开始的突变点;预测２００４年前海南仍处于少台活动期,２００５年后可能转入多台活动趋势期。     

Monotonic trend and abrupt changes for major climate variables in the headwater catchment of the Yellow River basin

On the basis of the mean air temperature, precipitation, sunshine duration and pan evaporation at 23 meteorological stations in the headwater catchment of the Yellow River basin from 1960 to 2001, the long‐term monotonic trend and abrupt changes for major climate variables have been investigated. The plausible monotonic trend of annual climatic time series are detected using a non‐parametric method. The abrupt changes have been investigated in terms of a 5 year moving averaged annual series, using the moving t‐test (MTT) method, Yamamoto method and Mann–Kendall method. The results showed that the annual air temperature has increased by 0·80 °C in the headwater catchment of the Yellow River basin during the past 42 years. One obvious cold period and one warm period were detected. The warmest centre was located in the northern part of the basin. The long‐term trend for annual precipitation was not significant during the same period, but a dry tendency was detected. According to the Kendall slope values, the declining centre for annual precipitation was located in the eastern part and the centre of the study area. The long‐term monotonic trend for annual sunshine duration and pan evaporation were negative. The average Kendall slopes are ? 29·96 h/10 yr and ? 39·63 mm/10 yr, respectively. The tests for abrupt changes using MTT and Yamamoto methods show similar results. Abrupt changes occurred in the mid 1980s for temperature, in the late 1980s for precipitation and in the early 1980s for sunshine duration and pan evaporation. It can be seen that the abrupt changes really happened in the 1980s for the climate variables. Different results are shown using the Mann–Kendall method. Both the abrupt changes of temperature and precipitation took place in the early 1990s, and that of pan evaporation occurred in the 1960s. The only abrupt change in sunshine duration happened during the similar period (in the 1980s) with the results detected by the MTT and Yamamoto methods. The abrupt changes which occurred in the 1990s and 1960s are not detectable using the MTT and Yamamoto methods because of the data limitation. However, the results tested by the MTT and Yamamoto methods exhibited great consistency. Some of the reasons may be due to the similar principles for these two methods. Different methods testing the abrupt climatic changes have their own merits and limitations and should be compared based on their own assumption and applicable conditions when they are used. Copyright © 2008 John Wiley & Sons, Ltd.