A Potential Flood Hazard Caused by Tianchi Volcano Eruption in Changbai Mountain, Northeast China

Geohazards appear to be increasing in frequency globally. It is of necessity to actively manage these natural hazards to minimize loss of life and property. From an early warning perspective, this paper stresses the potential fatal flood hazard represented by the huge volume of water in Tianchi Lake, the unique geography of Changbai Mountain, and the limited flood control ability in the upstream of the Songhua River. Northeast Asian countries should keep a watchful eye on the Changbai volcano cooperatively,...     

Orbits of Ten Visual Binary Stars

We present the orbits of ten visual binary stars: WDS 01015 6922, WDS 01424– 0645, WDS 01461 6349, WDS 04374–0951, WDS 04478 5318, WDS 05255–0033, WDS 05491 6248, WDS 06404 4058, WDS 07479–1212, and WDS 18384 0850. We have also determined their masses, dynamical parallaxes and ephemerides.     

自主控制的GIS技术与制图学远程教育:GITTA工程

“瑞士虚拟校园(SVC)”是瑞士联邦1999年发起,2000年启动的项目,主要是应用新的信息与网络技术,使G-IS技术得到广泛传播。现在人们对相关教育素材的需求不断上升。GITTA项     

Grain-size end-members and environmentally sensitive grain-size components: A comparative study in the mud shelf depocenters off southern Brazil

The current study aims to do a comparative analysis of the results obtained with two End-Member(EM)grain-size modeling techniques(AnalySize and BasEMMA)and the Environmental Sensitive Grain-Size(ESGS)modeling for sediment samples collected in the mudbelts of the southern Brazilian shelf.The methods were compared using grain-size data from the south Brazilian shelf,and the results are discussed here.It is the first time that the concept of ESGS,in its present form,is utilized outside China.The results show that despite its relative ease of use,the ESGS is not fully comparable to the EM analyses,and only two grain-size ESGS classes were recognized as analogous to EMs.The comparison of the AnalySize and BasEMMA procedures also revealed significant differences between the techniques.A comparative analysis between the two EM techniques revealed advantages in the BasEMMA,especially in the better correlation of the end-members with the original grain size distribution.The analysis of the geographical distribution of the EM abundances allowed point sources of sandy populations to be recognized as well as the contribution of the Rio de la Plata as a source of silty sediments to be inferred.     

平坦低地农业区人类活动影响下地形对森林分布的影响（英文）

Complex topography buffers forests against deforestation in mountainous regions.However,it is unknown if terrain also shapes forest distribution in lowlands where human impacts are likely to be less constrained by terrain.In such regions,if important at all,topographic effects will depend on cultural-historical factors and thus be human-driven(anthropogenic) rather than natural,except in regions where the general climate or extreme soils limit the occurrence of forests.We used spatial regression modeling to assess the extent to which topographic factors explain forest distribution(presence-absence at a 48×48 m resolution) in a lowland agricultural region(Denmark,43,075 km2) at regional and landscape scales(whole study area and 10×10 km grid cells,respectively),how landscape-scale forest-topography relationships vary geographically,and which potential drivers(topographic heterogeneity,forest cover,clay content,coastal/inland location) determine this geographic heterogeneity.Given a moist temperate climate and non-extreme soils all landscapes in Denmark would naturally be largely forest covered,and any topographic relationships will be totally or primarily human-driven.At regional scale,topographic predictors explained only 5% of the distribution of forest.In contrast,the explanatory power of topography varied from 0%–61% at landscape scale,with clear geographic patterning.Explanatory power of topography at landscape scale was moderately dependent on the potential drivers,with topographic control being strongest in areas with high topographic heterogeneity and little forest cover.However,these conditioning effects were themselves geographically variable.Our findings show that topography by shaping human land-use can affect forest distribution even in flat,lowland regions,but especially via localized,geographically variable effects.