降雨影响下堆积体边坡的空间变异性

利用空间变异理论对堆积体边坡降雨引起变形的特点进行分析后,拟合出变异函数理论模型。因模型参数确定非常困难,利用遗传算法在求解非线性问题时具有全局寻优的特点,结合遗传算法拟合出变异函数理论模型参数。依据降雨时监测的小湾水电站左岸堆积体边坡的变形数据,进行降雨条件下的时间及空间变异性分析,得出边坡的变形特点。为能充分反映降雨引起堆积体边坡变形的空间方向变异性,构造出方向综合变异指标Ov,对其进行定量描述。最后通过实例验证了降雨条件下堆积体的时间及空间变异性分析及综合变异指标Ov理论的正确性。这种研究方法对堆积体边坡的相关研究提供了一种新的分析方法和思路。     

川渝地区气候与物候的变化特征分析

利用川渝地区44个气象台站的气象资料和2个物候观测站的物候资料分析了该地区的气候与物候变化特征:最近10 a年均温度比前30多a高0.68℃,年均降水量基本无变化。低温主要分布在川西高原,低温天数、低温积温绝对值都在减少。日均最高温度在高原南部、西南山地减少,其它地区都增加;日均最低温度都在增暖。降水在四川盆地下降,在重庆西部、川西高原增加。降水日数在高原西部增加,其它地区都下降。春始期仁寿略微推迟,北碚微弱提前;秋始期都推迟。展叶期的杏树、刺槐、水杉、紫荆、梧桐推迟,紫藤、毛桃提前。落叶期仁寿刺槐提前,北碚的植物全部推迟。     

中国雾区的分布及其季节变化

用中国范围604个台站1961年1月~2000年12月的地面观测雾日资料,分析了雾的地理分布,讨论了不同区域雾的月年变化特征。结果表明：中国地区主要有6个雾区：长江中游区、海岸区、云贵高原区、陇东-陕西区、淮河流域、天山及其北疆区。大多数区域雾日年际变化有下降的趋势,特别是20世纪80年代之后下降趋势更明显,雾日显著趋势区呈西南-东北走向,上升和下降趋势区相间分布,自东南向西北呈波列结构;中国大多数雾区秋冬季雾日最多,春夏季雾日较少。黄海岸区和北疆月际变化相似,都呈双峰型分布,其他区域为单峰型分布。     

The Effect of an Ocean on Magnetic Diurnal Variations

Summary. Theoretical calculations have been made for the idealized case in which an ocean is approximated by an infinitely long rectangular conducting sheet. The results indicate that even in the case of magnetic variations with periods as long as 24 hr one should expect a significant and easily observable enhancement in the vicinity of the edge of an ocean. When the inducing field is a function of local time only, it is found that the amplification of the variations is greater at the eastern edge of the ocean than at the western edge.
Laboratory model studies have been used to investigate the effect of irregularities in the shape of a coastline. Results which have been obtained from a model of the Pacific Ocean in the neighbourhood of Japan indicate that it is reasonable to attribute at least a part of the anomalous diurnal variations observed in central Japan to electric currents induced in the ocean.     

Luminescence Variations in Fast-Growing Stalagmites from Uppsala, Sweden

Two fast‐growing stalagmites from a cellar vault in Uppsala, southeast Sweden, are analysed for their luminescent properties. The results indicate that variations in luminescence intensity in the stalagmites are annual. Due to problems in finding a suitable absolute dating method this assumption cannot yet be firmly tested; however, results from radiocarbon dating of one of the stalagmites do not contradict the proposal that the laminae are annual. If so, the speleothems have been growing for 10–15 years with a growth rate of 3–8 mm per year, which is a similar rate to other fast‐growing speleothems in Great Britain that have formed from the reaction of lime mortar and carbon dioxide. It is likely that the assumed annual laminae of the luminescence record represent a flush of organic material.     

Variations of the temperature and solar activity in China

In this paper we analyze daily mean, minimum, and maximum temperature data collected at 119 meteorological stations over five regions of China during the period 1951-2010. The series of minimum, maximum, and mean temperatures from each climatic region have similar signatures, but there are differences among the five regions and the countrywide average. The results indicate that the periods of faster warming were not synchronous across the regions studied： warming in northeast China and Tibet began in 1986, while in central-east, southeast, and northwest China the warming emerged in 1995. Furthermore, central-east and northwest China, and Tibet, have warmed continuously since 2000, but the temperature has decreased during this period in southeast China. We evaluated the evolution of these temperature series using a novel nonlinear filtering technique based on the concept of the lifetime of temperature curves. The decadal to secular evolution of solar activity and temperature variation had similar signatures in the northeast, southeast, and northwest re- gions and the average across the whole country, indicating that solar activity is a significant control on climate change over secular time scales in these regions. In comparison with these regions, the signatures were different in central-east China and Tibet because of regional differences （e.g., landforms and elevation） and indirect effects （e.g., cloud cover influencing the radiation balance, thereby inducing climate change）. Furthermore, the results of wavelet analysis indicated that the El Nino Southem Oscillation （ENSO） has had a significant impact on climate change, but at different times among the regions, and these changes were most probably induced by differing responses of the atmospheric system to solar forcing.