Classification of precipitation types using fall velocity-diameter relationships from 2D-video distrometer measurements

Fall velocity-diameter relationships for four different snowflake types (dendrite, plate, needle, and graupel) were investigated in northeastern South Korea, and a new algorithm for classifying hydrometeors is proposed for distrometric measurements based on the new relationships. Falling ice crystals (approximately 40 000 particles) were measured with a two-dimensional video disdrometer (2DVD) during a winter experiment from 15 January to 9 April 2010. The fall velocity-diameter relationships were derived for the four types of snowflakes based on manual classification by experts using snow photos and 2DVD measurements: the coefficients (exponents) for different snowflake types were 0.82 (0.24) for dendrite, 0.74 (0.35) for plate, 1.03 (0.71) for needle, and 1.30 (0.94) for graupel, respectively. These new relationships established in the present study (PS) were compared with those from two previous studies. Hydrometeor types were classified with the derived fall velocity-diameter relationships, and the classification algorithm was evaluated using 3× 3 contingency tables for one rain-snow transition event and three snowfall events. The algorithm showed good performance for the transition event: the critical success indices (CSIs) were 0.89, 0.61 and 0.71 for snow, wet-snow and rain, respectively. For snow events, the algorithm performance for dendrite and plate (CSIs = 1.0 and 1.0, respectively) was better than for needle and graupel (CSIs = 0.67 and 0.50, respectively).     

Legacies of 19th century land use shape contemporary forest cover

Historic land use can exert strong land-use legacies, i.e., long-lasting effects on ecosystems, but the importance of land-use legacies, alongside other factors, for subsequent forest-cover change is unclear. If past land use affects rates of forest disturbance and afforestation then this may constrain land use planning and land management options, and legacies of current land management may constrain future land use. Our goal was to assess if and how much land-use legacies affect contemporary forest disturbance, and the abundance of different forest types in the Carpathian region in Eastern Europe (265,000 km², encompassing parts of Poland, Slovakia, Ukraine, Romania, Hungary, and Czech Republic). We modeled contemporary forest disturbance (based on satellite image analysis from 1985 to 2010) as a function of historic land use (based on digitized topographic maps from 1860 and 1960). Contemporary forest disturbance was strongly related to historic land use even when controlling for environmental, accessibility and socio-political variation. Across the Carpathian region, the odds of forest disturbance were about 50% higher in areas that were not forested in 1860 (new forests) compared to areas that were forested then (old forests). The forest disturbance in new forests was particularly high in Poland (88% higher odds), Slovakia (69%) and Romania (67%) and persisted across the entire range of environmental, accessibility and socio-political variation. Reasons for the observed legacy effects may include extensive plantations outside forest ranges, predominantly spruce, poplar, and black locust, which are prone to natural disturbances. Furthermore, as plantations reach harvestable age of about 70 years for pulp and 120 year for saw-timber production, these are likely to be clear-cut, producing the observed legacy effects. Across the Carpathians, forest types shifted towards less coniferous cover in 2010 compared to the 1860s and 1960s likely due to extensive historic conifer harvest, and to recent natural disturbance events and clear-cuts of forest plantations. Our results underscore the importance of land-use legacies, and show that past land uses can greatly affect subsequent forest disturbance for centuries. Given rapid land use changes worldwide, it is important to understand how past legacies affect current management and what the impact of current land management decisions may be for future land use.     

青藏高原盐湖水化学及其矿物组合特征

青藏高原湖泊的矿化度与其湖泊演化所处的自然环境,特别是与气候条件关系密切,根据取得盐湖数量和卫片解译,本区湖泊矿化度在空间上变化的总趋势是由北、西北向南、东南趋向下降,大体上与现代高原年干燥度(年蒸发量/年降水量)呈同步变化。高原盐湖的pH值既与水化学类型有关,又与湖水矿化度有关,即由碳酸盐型→硫酸钠亚型→硫酸镁亚型→氧化物型,其pH值趋于下降,而湖泊的pH值与矿化度大体呈反相关。根据库尔纳可夫—瓦良什科分类法及作者对碳酸盐型的细分,对青藏高原盐湖水化学进行了全面细致划分,从而取得了清晰的规律性认识:本区盐湖水化学具有南北分带,东西分区的特点。不同的盐湖水化学类型,具有不同的专属性,碳酸盐型代表性成矿组合为硼砂(三方硼砂)或硼砂—扎布耶石,以及碱—芒硝组合;硫酸钠亚型代表性成矿组合为芒硝(无水芒硝)—石盐以及镁硼酸盐(库水硼镁石、柱硼镁石等)—钠硼解石—芒硝;硫酸镁亚型代表性成矿组合为硫酸镁盐(泻利盐、白钠镁矾)—石盐、镁硼酸盐—芒硝、芒硝—软钾镁矾—石盐以及大量石膏;氯化物型代表性成矿组合则为光卤石—水氯镁石—石盐、光卤石—石盐,个别盐湖共生南极石。由此可见,青藏高原各类型盐湖矿物组合基本上具有冷相组合特征,芒硝及与其共生的冷相盐类矿物,可成为研究古气候变化的重要标志物。目前已检出青藏高原盐湖水含有59种元素,其中B与Li、Cs、K、Rb有密切共生关系,其含量随湖水矿化度增长大致呈正相关;B、Li、Cs、K、Rb最高正异常落在羌南碳酸盐型带(Ⅰ2)西段—昂拉陵湖区为中心地区;并与本区中新世火山沉积岩系和地热水B、Li、Cs、Rb等高值区并行不悖。以上有力证明B、Li、Cs等特殊元素物质与深部来源有关。据近期大量地球物理和火山岩岩石地球化学研究,其成因与印度—欧亚陆陆碰撞引起的重熔岩浆作用有密切成因联系。南美科迪勒拉高原硼锂(铯)盐湖即生成于活动大陆边缘,两者均说明全球特定的活动构造带是造成天然水B、Li、Cs(K、Rb)高丰度及其成矿作用的主因。     

闽西北地区混合花岗岩类型划分及其与金成矿关系

根据闽西北混合花岗岩产出的大地构造位置、成岩物质来源及其与周围地质体的关系等研究,认为闽西北地区混合花岗岩总体上可分为区域型混合花岗岩和边缘型混合花岗岩2种类型。通过2类混合花岗岩的空间展布和特征对比,并对其形成机理及其与金成矿关系进行了初步探讨。     

甘肃第四纪沉积物的成因类型及特征

甘肃第四纪沉积物为陆相沉积,依据沉积物搬运介质、气候条件、沉积环境、搬运动力,将成因划分为风化作用系列、坡地重力作用系列、水流作用系列、湖沼作用系列、冰川作用系列、风力作用系列、生物作用系列、人为作用系列、混合作用系列共9大系列,22种成因类型。     

我国盐湖钾盐资源现状及提钾工艺技术进展

中国是一个农业大国, 钾肥缺口很大。中国又是一个多盐湖的国家, 盐湖中蕴藏着丰富的钾盐资源, 有望解决中国的缺钾问题。中国已经建立了青海察尔汗和新疆罗布泊两个钾肥生产基地, 但还是远远满足不了国内钾肥需求, 70%需要依赖进口。因此, 有必要继续加强钾盐开发研究, 建立新的钾肥生产基地。通过长期攻关, 我国氯化物型和硫酸盐型盐湖形成了比较成熟的提钾工艺路线, 但是, 碳酸盐型盐湖提钾研究刚刚起步。本文对青海察尔汗盐湖和新疆罗布泊盐湖两大中国钾肥生产基地的资源及生产工艺进行了分析研究, 其成功的开发经验可用来指导我国同类型其他盐湖钾资源的开发; 探讨了开发我国碳酸盐型盐湖钾盐的可行之路, 碳酸盐型盐湖通过技术创新, 可以在盐湖现场获得钾肥产品; 指出我国不同水化学类型的盐湖应采取不同的资源利用工艺路线。     

东营市沿海地区农业地质特征

通过对东营市沿海地区农业地质的调查研究,该区土壤贫N、P、Mo、有机质,富K,富微量元素Cu、Zn、Fe、Mn、B等,土壤除盐化程度高外,未受到其它元素的污染,仍保持良好的自然环境。初步将土壤分为四个土壤类型:潮土、盐化潮土、滨海盐土、滨海潮滩盐土,土体构型以均质砂壤型分布面积最广。     

山东省油页岩资源特征及开发利用前景

随着石油资源可用量的不断减少,页岩气、油页岩、油砂与稠油作为一种新能源,近年来备受人们的重视。山东省存在着丰富的油页岩资源。近年来笔者通过收集前人相关资料、野外地质填图、钻探编录、典型矿区考察、关键样品化验分析等手段对其进行了初步研究,初步认识了山东地区油页岩的资源特征及其形成环境,对未来山东地区油页岩矿的预测及潜力的评价具有一定的指导与借鉴作用。     

淮河流域大气环流型在冬季气温预测中的应用

应用Lamb-Jenkinson大气环流分型方法,根据由1970—2012年NCEP/NCAR逐日海平面气压场计算得到的环流指数,对淮河流域的环流进行分型。分析了冬季主要环流型和气温的分布特征及两者的联系,并以环流指数和主要环流型为预测因子,结合经验正交函数分解(EOF)方法和逐步回归方法,建立了淮河流域冬季气温距平的预测模型。结果表明,淮河流域冬季的主要环流型是东北风型、东风型、反气旋环流型以及东北风、东风配合下的反气旋性环流型,划分的环流型符合实际情况,这些环流型具有显著的年际和年代际变化特征。通过对预测模型进行后报试验和独立预报试验,表明该模型具有一定的预报技巧。     

Evolution and spatial patterns of spheres of urban influence in China

This article presents the findings of a study of the spheres of urban influence with regard to all cities in China（not including Hong Kong,Macau and Taiwan Province of China）in the years 1990,2000 and 2009.An optimized gravity model with comprehensive time distance was used to carry out a detailed analysis of the spatial patterns of Chinese spheres of urban influence and the spatial characteristics of urban agglomerations.Such urban agglomerations are characterized by high density population and a developed economy,which are also considered as the national competition unit.This paper initially identifies four spatial patterns of urban agglomerations based on the spatial layout of city groups during their evolution.Some basic characteristics of urban agglomerations are outlined,including the number of cities,the size of cities and the functions of urban centers.These characteristics are examined by using statistical methods and Geographic Information System（GIS）.The main findings from this research are that the development stages and structures of urban agglomerations in China vary significantly.It is also clear that the stages and evolution of spatial patterns are strongly affected and dominated by both policy and location factors.