渝东南牛蹄塘组页岩裂缝及其分布控制因素

为总结渝东南下寒武统牛蹄塘组页岩裂缝特征及其分布的主要控制因素,通过页岩露头、岩心和薄片裂缝观察、描述,探讨了页岩裂缝的成因类型、分布特征及裂缝分布与脆性矿物含量、页岩层厚、岩石力学性质、构造、页理发育和有机质含量及热演化程度的关系。结果表明,牛蹄塘组页岩裂缝从成因上分为构造裂缝、成岩裂缝及异常高压裂缝。牛蹄塘组页岩主要发育近东EW向、NE向和近SN向三组构造裂缝,近EW向一组裂缝最发育。裂缝以高角度剪切裂缝为主,规模较小,储集能力一般,主要起渗流作用。脆性矿物含量是控制页岩裂缝形成和分布的主要内因,外因主要是岩层厚度、岩石力学性质、构造应力与构造部位,页理发育影响页理缝及低角度滑脱裂缝的形成和分布,异常高压裂缝的形成与有机质含量有关,受有机质热演化程度的控制。     

欧亚大陆冬季雪深的时空演变特征及其影响因子分析

利用美国冰雪资料中心(National Snow and Ice Data Center)提供的前苏联1948~1994年逐日积雪深度资料,定义了冬季雪深增量的概念,探讨了欧亚大陆秋末雪深、冬季雪深、冬季雪深增量的时空演变规律,通过比较分析三者的异常变化特征,揭示了三者之间可能存在的联系。经验正交函数分解(EOF)结果表明:欧亚大陆冬季雪深、冬季雪深增量的第一模态的空间分布特征均为大致以50°N为界的南北反相变化,欧亚大陆北部的积雪深度和冬季雪深增量都呈现出一致性的变化趋势;两者对应的时间序列均反映了显著的年代际变化特征,且年代际转变均发生在20世纪70年代中期前后。第二模态则呈现出欧亚大陆东、西部反相的偶极型空间分布特征。进一步分析表明,欧亚大陆秋末雪深无论从空间分布还是时间演变来看与冬季雪深几乎不存在相关性。欧亚大陆冬季雪深变化主要是冬季雪深增量影响所致,与秋末雪深无关。     

Spatial-temporal patterns of China’s interprovincial migration, 1985-2010

Migration plays an increasing role in China's economy since mobility rose and economic restructuring has proceeded during the last three decades. Given the background of most studies focusing on migration in a particular period, there is a critical need to analyze the spatial-temporal patterns of migration. Using bicomponent trend mapping technique and interprovincial migration data during the periods 1985-1990, 1990-1995, 1995-2000, 2000-2005, and 2005-2010 we analyze net-, in-, out-migration intensity, and their changes over time in this study. Strong spatial variations in migration intensity were found in China's interprovincial migration, and substantial increase in migration intensity was also detected in eastern China during 1985-2010. Eight key destinations are mostly located within the three rapidly growing economic zones of eastern China (Pearl River Delta, Yangtze River Delta and Beijing-Tianjin-Hebei Metropolitan Region), and they are classified into three types: mature, emerging, and fluctuant origins, while most key origins are relatively undeveloped central and western provinces, which are exactly in accordance with China's economic development patterns. The results of bicomponent trend mapping indicate that, in a sense, the migration in the south was more active than the north over the last three decades. The result shows the new changing features of spatial-temporal patterns of China's interprovincial migration that Fan and Chen did not find out in their research. A series of social-economic changes including rural transformation, balanced regional development, and labor market changes should be paid more attention to explore China's future interprovincial migration.     

辽西大黑山生态修复区土地利用格局变化及驱动力

生态修复区土地利用与覆盖变化是区域环境变化研究的重要内容,可为水土保持生态修复措施的调控及效益定量评价提供依据。以辽西大黑山生态修复区2000年、2005年和2010年的Landsat TM遥感影像为基础数据,基于Erdas Imagine遥感软件和ArcGIS技术平台,利用土地利用动态度、土地利用程度综合指数和转移矩阵等指标,对研究区土地利用格局的动态变化进行了定量分析,并探讨了其变化的驱动力因素。结果表明:1.10 a间,耕地保持面积最大,其次是林地和草地;耕地和未利用土地占总面积比例分别减少了28.43%和44.32%,林地、草地、城镇村及工矿交通、水域及水利设施用地占总面积比例分别增加了83.68%、10.75%、21.07%和162.74%。2.2000—2005年,林地的土地利用变化幅度最大,为12.42%,其次为未利用土地和草地;2005—2010年,水域及水利设施用地的土地利用变化幅度最大,为24.82%,其次是草地、未利用土地和耕地。3.研究区土地利用程度和开发强度处于中等偏上水平,2000—2005年土地利用处于发展期,2005—2010年土地利用处于调整期;土地利用类型的转入和转出主要发生在耕地、林地和草地之间。4.水土保持生态修复和退耕还林等生态建设项目的实施,可以较大程度地改变微地貌、减少地表坡度、提高植被盖度,在短时间使土地利用的空间分布发生较大变化,是其土地利用格局变化的主要驱动力因素。     

西南喀斯特石漠化过程中土壤有机质组分及其影响因素

通过采集我国西南喀斯特地区不同石漠化阶段典型土壤样品,研究了土壤有机质组分及其影响因素.结果表明:(1)喀斯特地区土壤有机质各组分含量中胡敏素>富里酸>胡敏酸,HA/FA一般<0.4,为富里酸土壤,与同水平地带土壤一致.(2)石漠化过程对喀斯特地区土壤中有机质组成有明显的影响,土壤中胡敏素、富里酸与胡敏酸表现出未石漠化＞潜在石漠化＞轻度石漠化＞中度石漠化的趋势.(3)喀斯特地区土壤有机质组分空间分布有较大差异,剖面层次上各有机质组分胡敏素、富里酸与胡敏酸均表现出表土层>底土层,山区不同部位上表现以山坡中下部有机质含量最高,而以山顶最低,且FA/HA表现出从山顶到山脚有明显增加的趋势.(4)喀斯特地区土壤土壤有机碳、酸碱度、碳酸钙、容重、非晶形氧化铝、颗粒组成、有效磷与土壤有机碳组分间表现出显著或极显著的相关性,土壤有机碳和质地是影响土壤有机碳组分含量的主要因素.     

自然与人文交互作用下的干旱区典型绿洲耕地动态变化驱动力分析——以新疆于田绿洲为例

 绿洲是干旱区独特的自然景观,是人们生产生活的载体。如何在保持经济发展、提高人民生活水平的基础上保护有限的耕地资源,是关系到干旱区绿洲和谐以及可持续发展的重要问题。选取干旱区典型绿洲——于田县1949\_2004年的自然与人文统计资料,首先分析了五十余年来该县耕地变化的情况。然后从自然与人文两个角度对影响耕地面积变化的因子进行分析,结果表明,自然因素往往构成一定区域绿洲发展的基本限制,人为因素在短时期内,对耕地的变化起着决定性作用,这种作用如果顺应自然因素的限制,则对绿洲发展有利,绿洲稳定性增强;反之,绿洲稳定性减弱,由于新疆绿洲外围多为戈壁及沙漠,因此,对绿洲的利用要遵循自然规律,以保护绿洲为前提,合理利用水等自然资源,否则绿洲的面积随时都有可能缩小。     

城市空间结构演变的空间过程和动力因子分析

城市空间结构是城市地理学、城市规划学的核心研究内容之一。城市空间结构的演变作为一个十分复杂的社会现象，一直受到各方面学者的关注。通过着重分析城市空间结构演变的主要空间过程：空间竞争、空间演替、空间扩散、空间均衡等，并对这些空间经济过程做出横向分析，讨论城市空间结构与城市经济运行之间的内在联系。分析城市空间结构演变的主要动力因子：包括完善的服务和基础设施、土地集约利用、城市产业的人口需求等集聚因子和环境承载力、级差地租、现代技术的发展等离散因子，从而论证集聚力和离心力的交互作用对城市空间结构演变产生深刻影响。     

Emission of methane and nitrous oxides from agricultural soils and related global warming potentials of Murshidabad District,West Bengal

Agricultural activities emit substantial amounts of methane (CH4) and nitrous oxides (N2O), the two important greenhouse gases (GHG) with high global warming potentials (GWP). So far, many studies have already been carried out at national and state level, but lack micro‐level (district or block‐level) inventory in India. The present study sheds light on the flux of CH4 and N2O (from all possible sources) from agricultural soil of various blocks in the Murshidabad district, based on the inventory prepared, using the IPCC methodology, with adjusted emission factors and coefficients appropriate for the local level. The economy of the Murshidabad district almost completely rests on agriculture as more than 80 per cent of the population is directly or indirectly dependent on it for their livelihood. Paddy is the dominating crop, cultivated on more than 60 per cent of the gross cropped area. The present work is based on the review of various literature and reports collected from respective state government offices and websites. Results show that CH4 and N2O emission from the agricultural fields are 126.405 Gg and 0.652 Gg respectively for the year 2011?12 with a large scale spatial variation (block‐level) within the district.     

Evaluating the fitness for use of spatial data sets to promote quality in ecological assessment and monitoring

This article proposes and illustrates a practical methodological framework to evaluate the fitness for use of spatial data sets for environmental and ecological applications, focusing on user requirements for specified application contexts. The methodology is based on the use of metadata to analyze similarity between the data characteristics and the user’s needs or expectations for several quality indicators. Additionally, the concept of ‘critical factors’ is introduced in this framework, allowing users to define which quality indicators have greater importance given their own requirements or expectations and the specified application contexts. The proposed methodology further allows integrating and interconnecting the spatial data quality (SDQ) evaluation methodology with metadata geoportals in WebGIS platforms, facilitating its operation by users from non-spatial disciplines and with often limited expertise on this subject. Examples of the evaluation of fitness for use for specific application contexts within the project BIO_SOS (‘Biodiversity Multi-SOurce Monitoring System: From Space To Species’ FP7 project) are presented. By providing a prompt and straightforward evaluation tool, the proposed methodology can encourage the implementation of SDQ evaluation routines in ecological assessment and monitoring programs, promoting a more adequate use of geospatial data and ultimately contributing to well-supported policy and management decisions.