辽宁降水分区变化特征及夏季降水影响因子分析

根据1961—2000年辽宁地区降水资料,将辽宁地区降水划分为4个区,分析各分区降水的年际、年代际、季节变化以及周期特征。结果表明:辽宁南部和东南部地区降水明显减少;自20世纪90年代开始,东南部和南部地区降水显著减少,而中部地区降水增加;东南部地区的夏冬季和南部地区的冬季降水减少,西部地区春季降水增多。周期特征为春季和冬季周期为2 a或4 a,夏季和秋季为10 a。各分区夏季降水的影响因子不同,辽南地区多雨年东亚槽明显加深,东南区多雨年东亚槽略有加深并且偏东;南部和东南部夏季降水与副热带高压系统相关显著;各区夏季降水与太阳黑子负相关较好,其中8月相关显著,南部和中部相关性均好于东南部和西部地区。     

Vegetation patterns and diversity along an altitudinal and a grazing gradient in the Jabal al Akhdar mountain range of northern Oman

Little is known about the effects of grazing on vegetation composition on the Arabian Peninsula. The aim of this study therefore was to analyse the vegetation response to environmental conditions of open woodlands along an altitudinal and a grazing gradient in the Jabal al Akhdar mountain range of Oman. The species composition, vegetation structure, grazing damage and several environmental variables were investigated for 62 samples using a nested plot design. Classification analysis and a Canonical Variate Analysis (CVA) were used to define vegetation types and to identify underlying environmental gradients. The relationship between environmental variables and diversity was analysed using correlation coefficients and a main-effects ANOVA. The plant species richness followed a unimodal distribution along the altitudinal gradient with the highest number of species at the intermediate altitudinal belt. The cluster analysis led to five vegetation groups: The Sideroxylon mascatense–Dodonaea viscosa group on grazed and the Olea europaea–Fingerhuthia africana group on ungrazed plateau sites at 2000 m a.s.l., the Ziziphus spina-christi–Nerium oleander group at wadi sites and the Moringa peregrina–Pteropyrum scoparium group at 1200 m a.s.l, and the Acacia gerrardii–Leucas inflata group at 1700 m a.s.l. The CVA indicated a clear distinction of the groups obtained by the agglomerative cluster analysis. The landform, altitude and grazing intensity were found to be the most important variables distinguishing between clusters. Overgrazing of the studied rangeland is an increasing environmental problem, whereas the plant composition at ungrazed sites pointed to a relatively fast and high regeneration potential of the local vegetation.     

陕西省生态农业干旱区划研究

选取主要气候变量、地质土壤类型、水文、径流特征、地表植被类型及分布等10个影响陕西省生态农业干旱因子,利用K-Means Clustel‘Analysis(快速聚类法)和Hierarchical Cluster Analy-sis(分层聚类法)相结合的方法,对陕西省生态农业干旱区划进行研究,将陕西地区划分为8个生态农业干旱相似区,并对区划合理性进行了检验.分析表明:采用生态因子和干旱因子相结合的聚类分析方法能够较好地反映陕西省生态农业干旱实际情况,充分地体现"陕西省生态农业干旱"的空间分布特征,具有较强的科学性.     

Single-Link Cluster Method to Identify Foreshocks and Aftershocks

Based on Single-Link Cluster (SLC) analysis,a new method to identify the foreshocks andaftershocks of a strong shock from the earthquake catalogue and then to form a sequencecatalogue has been proposed in this paper.In the SLC frame,there are many chains formedby links with lengths shorter than or equal to the characteristic length Lc.It is defined thatwhen some of these chains connect with a strong shock,the seismic events on such chainsfirm a sequence with the strong shock.In this sequence,the strong shock is the main shock;the events preceding the main shock are foreshocks and those following the main shock areaftershocks.By using this method,the foreshocks and aftershocks associated with the M_s7.4Haicheng earthquake and with the strong shocks of M_s≥6.0 in the top area of Kunlun-AltunArc were identified and sequence catalogues for these strong shocks were set up.     

利用单键群分析方法研究川滇地区近年来的地震活动

单键群(SLC)方法是分析地震活动性的一个有用的工具,根据SLC特征参量的时间滑移计算,对川滇地区的地震活动性特征和地震活动趋势进行了总结分析。地震活动事实表明, SLC分析及有关的SLC特征参量可以有效地反映出地震活动的特征,并可用来进行地震趋势分析。研究认为,川滇地区的地震活动可能将较强。     

辽宁发展燕麦生产的气候适应性研究

根据1960—2000年河北省张北县和辽宁省的气象资料,计算并比较了两地的气候资源条件,参考燕麦的生物学特性,认为辽宁地区的气候条件完全可以满足燕麦的种植。在此基础上,选取了积温、降水等6个农业生长气候指标,利用谱系聚类分析法,对辽宁21个气象站点进行了聚类分析,并结合地理与经济等因素,对其燕麦生产进行了气候区划。结果表明,辽宁的大部分地区适宜燕麦的栽培生产。     

地气测量在粤北某铀矿区的试验研究

在粤北某花岗岩铀矿勘查区开展了地气测量探测隐伏铀矿的试验研究.通过对勘查区4号和19号勘探线的快速地气取样,获取了U、Cu、Pb、Zn、Mn、Sr和稀土等38种元素信息.利用聚类分析、Pearson相关性分析以及稀土配分、Eu异常判断等方法对矿体的地气异常进行了研究,结果表明,U、Mn、Sr、Zn等地气异常在矿体上方或矿体边缘位置有不同程度的显示;U异常与Mn、Sr、Eu、Cu、Pb、Zn、Ho有较好的相关性;矿体上方地气异常区具有相似的稀土配分模式和负Eu异常.这些特征可以作为判定隐伏铀矿矿致地气异常的依据.     

The application of geochemical pattern recognition to regional prospecting: A case study of the Sanandaj–Sirjan metallogenic zone,Iran

In regional exploration programs, the distribution of elements in known mineral deposits can be used as a guide for the classification of deposits, search for new prospects and modeling ore deposit patterns. The Sanandaj–Sirjan Zone (SSZ) is a major metallogenic zone in Iran, containing lead and zinc, iron, gold, copper deposits. In the central part of the SSZ, lead and zinc mineralization is widespread and hitherto exploration has been based on geological criteria. In this study, we used clustering techniques applied to element distribution for classification lead and zinc deposits in the central part of the SSZ. The hierarchical clustering technique was used to characterize the elemental pattern. Elements associated with lead and zinc deposits were separated into four clusters, encompassing both ore elements and their host rock-forming elements. It is shown that lead and zinc deposits in the central SSZ belong to two genetic groups: a MVT type hosted by limestone and dolomites and a SEDEX type hosted by shale, volcanic rocks and sandstone. The results of elemental clustering were used for pattern recognition by the K-means method and the respective deposits were classified into four distinct categories. K-means clustering also reveals that the elemental associations and spatial distribution of the lead and zinc deposits exhibit zoning in the central part of the SSZ. The ratios of ore-forming elements (Sb, Cd, and Zn) vs. (Pb and Ag) show zoning along an E–W trend, while host rock-forming elements (Mn, Ca, and Mg) vs. (Ba and Sr) show a zoning along a SE–NW trend. Large and medium deposits occur mainly in the center of the studied area, which justify further exploration around occurrences and abandoned mines in this area. The application of a pattern recognition method based on geochemical data from known mineralization in the central SSZ, and the classification derived from it, uncover elemental zoning, identify key elemental associations for further geochemical exploration and the potential to discover possible target areas for large to medium size ore deposits. This methodology can be applied in a similar way to search for new ore deposits in a wide range of known metallogenic zones.     

一次人工增雨作业中CA—FCM与其他评估方案的比较研究

根据2002年4月5日河南省人工催化增雨作业数据,分别采用作业区域趋势对比双比分析评估方案、区域趋势相关回归评估方案、区域趋势协变量多元回归评估方案、FCM（浮动对比区历史回归）评估方案、以降水量为协变量的CA—FCM评估方案和以降水量与整层大气可降水量为协变量的CA—FCM评估方案进行效果评估。结果表明：协变量由降水量和整层大气降水量2个组成的CA—FCM方法,由于引入了不受催化影响的物理协变量作为控制因子．以及采用了聚类分析提高了对比区和影响区相关性,其评估效果最好,显著水平高于0．05;其他评估方法评估效果较差。     

Recurrent daily OLR patterns in the Southern Africa/Southwest Indian Ocean region,implications for South African rainfall and teleconnections

A cluster analysis of daily outgoing longwave radiation (OLR) anomalies from 1979 to 2002 over the Southern Africa/Southwest Indian Ocean (SWIO) region for the November to February season reveals seven robust and statistically well separated recurrent patterns of large-scale organized convection. Among them are three regimes indicative of well defined tropical–temperate interactions linking the hinterland parts of Southern Africa to the mid-latitudes of the SWIO. Preferred transitions show a tendency for an eastward propagation of these systems. Analysis of daily rainfall records for South Africa shows that six of the OLR regimes are associated with spatially coherent and significant patterns of enhanced or reduced daily rainfall over the country. Atmospheric anomalies from the NCEP/DOE II reanalysis dataset show that the OLR regimes are associated with either regional or near-global adjustments of the atmospheric circulation, the three regimes representative of tropical–temperate interactions being in particular related to a well-defined wave structure encompassing the subtropical and temperate latitudes, featuring strong vertical anomalies and strong poleward export of momentum in the lee of the location of the cloud-band. The time-series of OLR regimes seasonal frequency are correlated to distinctive anomaly patterns in the global sea-surface-temperature field, among which are shown to be those corresponding to El Nino and La Nina conditions. The spatial signature of El Nino Southern Oscillation’s (ENSO) influence is related to the combination of an increased/decreased frequency of these regimes. It is shown in particular that the well-known “dipole” in convection anomalies contrasting Southern Africa and the SWIO during ENSO events arises as an effect of seasonal averaging and is therefore not valid at the synoptic scale. This study also provides a framework to better understand the observed non-linearities between ENSO and the seasonal convection and rainfall anomalies over the region.