The Upper Middle Rhine Valley as a risk area

The Upper Middle Rhine Valley, granted the status of a World Heritage site, is well known for its unique inner narrow valley of Quaternary age with its historical legacy of numerous medieval castles and old towns. Less known is that this has always been a risk area of floods and gravitative mass movements. Up to the recent past, mainly ice floods caused enormous damage. The inhabitants of the valley were well aware that they lived in a risk area, but they had learned to handle the flood hazard. With the demise of ice floods over the last 40 years, due to climate change and because of the additional heating of the river water by power plants, the awareness of flood hazards has been much diminished, in contrast to that of potential damage by rockfalls and landslides which were also much feared in the past, though at the local level only. Still in the people’s memory is the Kaub catastrophe of March 10, 1876, when 28 persons were killed by a landslide. Nowadays, even minor rockfalls are a major threat, as they will affect the much-used traffic lines on both banks of the river, in particular the railroads. Therefore, since 2002, on behalf of German Rail (Deutsche Bahn, DB), all problematic slopes have been protected by costly steel-ring nets, although they are an aesthetic problem by UNESCO standards. The feeling of absolute safety created among the public is only subjective, though, as planners are well aware of. Moreover, the impact of modern climate change on slope stability is nearly unknown. Therefore, it is still necessary to develop a risk map for the narrow valley, with emphasis on gravitational hazards.     

Spatial variation and driving mechanism of soil organic carbon components in the alluvial/sedimentary zone of the Yellow River

Alluviation and sedimentation of the Yellow River are important factors influencing the surface soil structure and organic carbon content in its lower reaches. Selecting Kaifeng and Zhoukou as typical cases of the Yellow River flooding area, the field survey, soil sample collection, laboratory experiment and Geographic Information System(GIS) spatial analysis methods were applied to study the spatial distribution characteristics and change mechanism of organic carbon components at different soil depths. The results revealed that the soil total organic carbon(TOC), active organic carbon(AOC) and nonactive organic carbon(NOC) contents ranged from 0.05–30.03 g/kg, 0.01–8.86 g/kg and 0.02–23.36 g/kg, respectively. The TOC, AOC and NOC contents in the surface soil layer were obviously higher than those in the lower soil layer, and the sequence of the content and change range within a single layer was TOCNOCAOC. Geostatistical analysis indicated that the TOC, AOC and NOC contents were commonly influenced by structural and random factors, and the influence magnitudes of these two factors were similar. The overall spatial trends of TOC, AOC and NOC remained relatively consistent from the 0–20 cm layer to the 20–100 cm layer, and the transition between high-and low-value areas was obvious, while the spatial variance was high. The AOC and NOC contents and spatial distribution better reflected TOC spatial variation and carbon accumulation areas. The distribution and depth of the sediment, agricultural land-use type, cropping system, fertilization method, tillage process and cultivation history were the main factors impacting the spatial variation in the soil organic carbon(SOC) components. Therefore, increasing the organic matter content, straw return, applying organic manure, adding exogenous particulate matter and conservation tillage are effective measures to improve the soil quality and attain sustainable agricultural development in the alluvial/sedimentary zone of the Yellow River.     

不同带宽的防风固沙林流场结构及防风效能风洞实验

林带宽度是防风固沙林建植时要考虑的基本参数,研究不同带宽林带的防护效果对防风固沙林配置及构建具有重要的指导意义。通过风洞模拟实验,在7、10、15 m·s^-1风速条件下,对单行一带（Ⅰ型）、三行一带（Ⅱ型）、六行一带（Ⅲ型）和九行一带（Ⅳ型）共4种带宽的林带的迎风面、带中和背风面的风速进行了测定,分析了4种林带的风速流场、风速加速率和防风效果。结果表明：（1）4种林带流场结构和垂直风速变化规律相似,沿来风向均形成了林带上方和迎风面林缘附近的小范围高风速区及其后的风影区相互组合的流场结构;依据风速垂直变化规律划分为上部变化层（高度30~60 cm,受林带的影响最小）、中间变化层（高度5~20 cm,风速受林冠遮蔽作用,影响最大,且为风影区形成层）和近床面变化层（高度1~3 cm）。（2）4种林带在垂直纵剖面上的平均风速加速率随林带宽度的增大而减小,即Ⅰ型（0.90） > Ⅱ型（0.87） > Ⅲ型（0.79） > Ⅳ型（0.78）。（3）4种林带的防风效果为Ⅰ型和Ⅱ型林带相同,Ⅲ型和Ⅳ型林带相同,后2种林带的防风效果优于前2种林带,且4种林带的防风效能均随着风速的增大而减小。     

狐狸座BW星的周期分析

利用文[1]中权重5的大量高精度测光数据,用文[2]中的周期分析法,得出BWVul的主要脉动周期P_1=0.21010425d。另有变幅仅为前者十分之一的二倍频P_2=0.10052300d及四倍频P_4=0.05026096d。文[3]求出的变幅更小的P_3、P_5、P_6、P_7、P_8等倍频可信度很低。故多重周期不是引起P_1长期变化及限制脉动变幅的主因。     

南大洋氟的生物地球化学研究——Ⅰ.南极磷虾富氟异常的研究

本文通过对南极磷虾不同部位中氟含量的测定,结合氟在测区环境中的分布特征及南极磷虾体中其它元素的分析资料,讨论了氟在磷虾体内的分布和赋存形式,并对其可能的富集机理及与环境的关系作了初步的探讨。     

Land use change in Bohai Rim: a spatial-temporal analysis

Land use change is one of the important aspects of global change[1-3]. The Bohai Rim is a hot spot of economic development in China, where land use changes remarkably. Analyzing land use change in this area is significant to the research of global change and regional sustainable land use. Although there has been much work undertaken on regional land use change in China, it was mainly on urban land use change[4-11], and few researches integrated remote sensing and GIS method. Based on data f…     

中国留学人员创业园分布及产业特征

以《中国留学人员创业年鉴》为基础数据,采用GIS空间分析技术,运用核密度估计法、L函数和最近邻层次聚类分析等方法,分析2006~2015年中国留学人员创业园空间分布规律以及园区产业集聚特征,结果表明：中国留学人员创业园集聚特征显著,而且随着时间的推移,其多中心趋势明显,集聚规模迅速增大,集聚强度呈“先升后降,但总体增大”趋势;主要集聚于长三角、京津冀和珠三角等地区,尤以前两者最显著,且三大集聚区的集聚强度与集聚规模差异明显,其中长三角留创园的集聚规模最大,京津冀集聚强度最高,而珠三角则比较复杂,其在很小空间尺度范围内服从集聚分布,而在较大空间尺度范围内则服从随机分布;基于不同主导产业的中国留学人员创业园依然集中于长三角、京津冀和珠三角等地区,其主导产业分布格局则差异显著,规律性不强。     

Resolving the landfill siting impasse: modelling technocratic and indigenous perspectives using GIS multicriteria approach

Increase in waste generation calls for an effective waste management as this has become a necessity for environmental sustainability. Several methods are adopted in managing waste, which include waste reduction, reuse, thermal treatment, recycling and landfilling. The landfill method is recognised as the most used of all the waste management methods in developing countries such as Ghana. However, the selection of a suitable landfill site is very difficult and tedious. This is because it involves a consideration of many factors such as environmental, topographic, economic, socio-cultural and civil engineering. This research sought to identify a suitable landfill site by applying GIS multicriteria and weighted overlay approach in the Bongo District of Northern Ghana. The analysis relied on criteria and weights provided by the technocrats and the indigenes in the district as a way of demonstrating how landfill siting impasse can be resolved by incorporating the various stakeholders. The results obtained provided clear areas for landfill sites in the study area from the technocratic and the indigenous perspectives. However, the technocratic perspective failed to include an important cultural criterion, sacred groves, as a factor. The indigenous perspective also compromised on the factor related to nearness to residential areas, and is equally not sufficient on its own. The optimal landfill sites, which meets the expectations of both the technocrats and indigenes, was identified. This perspective has produced technically favourable and socio-culturally acceptable landfill site. However, it is recommended an environmental impact assessment (EIA) be conducted to identify the full environmental and social cost of the site. It is concluded that in landfill site selection much attention be given to cultural factors in the same way as the technical factors.     

A comprehensive analysis of phenological changes in forest vegetation of the Funiu Mountains,China

Journal of Geographical Sciences - This paper reports the phenological response of forest vegetation to climate change (changes in temperature and precipitation) based on Moderate Resolution...     

采煤塌陷地水域淹没范围模拟分析

采煤塌陷改变了矿区周边的地形地貌特征,使大量的耕地、园地变成水域。选择山东省龙口采煤塌陷区为研究对象,运用ArcGIS软件采集五期1:1万等高线和离散高程点数据,生成1×1 m2正方形网格的数字地面模型(DEM),以地表没有发生塌陷前的1978年DEM为标准高程数据,与其他各期DEM数据进行差值运算处理,得到不同时期采煤塌陷区面积。然后根据水利部门48年来的观测数据,计算出采煤塌陷区不同频率年份丰水期水文特征值,采用"无源淹没"分析法,计算给定水位条件下的采煤塌陷区水域淹没范围。