组合电离层残差与改进的码相伪距探测与修复周跳研究

传统码相组合算法能探测7～8周以上大周跳,而传统的电离层残差法仅对于±4周以内的周跳可实现唯一分离,这限制了两者组合的应用.针对这一问题,对码相组合探测与修复周跳方法进行改进,使得改进的码相组合与电离层残差法能够完全探测周跳.经理论与实验分析,组合改进的码相组合法与电离层残差法两者结合能够完全探测采样间隔小于10 s观测数据中的周跳,对动态非差观测值数据的周跳自动探测与修复有极佳的效果.     

干旱区绿洲土地利用/土地覆被动态演变研究

选择生态环境脆弱的艾比湖流域内绿洲为研究对象,以1990年、2001年、2010年三期TM和ETM+影像为数据源,采用SVM分类方法进行土地利用/覆盖类型分类、统计与分析研究区20年土地利用/覆盖时空动态变化。研究结果表明:1)1990～2001年除了裸地面积减少外,其他地类均有增加,且耕地面积增加幅度最大,面积增加了483.42 km2。2001～2010年除了耕地面积增加了488.87 km2,其余地类的面积都有不同程度的减少。而研究期间裸地面积一直呈现不断下降的趋势,在20年间共减少了1 186.43 km2。2)经济发展、政策、人口以及自然环境等驱动因素对研究区土地利用结构变化影响甚为显著,而人口迅速增加对农产品的大量需求促使耕地变化剧烈,面积大幅增长。因此,合理地控制人口数量,正确的政府政策导向和合理经济发展需求是干旱区绿洲土地可持续发展的关键。     

京、津、冀地区的碳排放趋势估计

通过多种方法相结合,估计了京、津、冀地区2009-2050年的能源碳排放量、水泥工艺碳排放量和森林碳汇量,计算了区域总的碳排放量和净碳排放量。结果表明:1)京、津、冀地区碳排放量都呈现先升后降的Kuznets趋势,森林年碳汇量对碳排放降低影响不明显;2)在自由排放条件下,北京、天津均在2030年前达到碳排放高峰期,河北省及整个京津冀地区的碳排放高峰将延迟到2039年;3)在2050年前,北京、天津年碳汇量将有所降低,河北年碳汇量则上升。     

Seasonally frozen soil effects on the dynamic behavior of highway bridges

Frozen ground is significantly stiffer than unfrozen ground. For bridges supported on deep foundations, bridge stiffness is also measurably higher in winter months. Significant changes due to seasonal freezing in bridge pier boundary conditions require additional detailing in order to ensure a ductile performance of the bridge during a design earthquake event. This paper reports the latest results obtained from a project that systematically investigated the effects of seasonally frozen soil on the seismic behavior of highway bridges in cold regions. A bridge was chosen and was monitored to study its seismic performance and assess the impact of seasonally frozen soil on its dynamic properties. A Finite Element (FE) model was created for this bridge to analyze the impact of seasonal frost. It was found that when frost depth reaches 1.2 m, the first transverse modal frequency increases about 200% when compared with the no-frost case. The results show that seasonal frost has a significant impact on the overall dynamic behavior of bridges supported by pile foundations in cold regions, and that these effects should be accounted for in seismic design.     

A model test system with a dynamic load device for geotechnical engineering in cold regions

A model test system with a dynamic load device for geotechnical engineering in cold regions is presented. This system consists of a model test tank, a refrigeration device and temperature controller, a dynamic load device, together with sensors and data loggers for detecting stress, deformation, and temperature changes. The system can accommodate soil blocks up to 3 m in length, 2.5 m in width, and 1 m in height. The lowest temperature provided by the refrigeration device is -20 °C. The maximum load provided by the dynamic load device is 100 kN and the vibration frequency of the dynamic load can range from 0.1 to 10 Hz. A number of waveforms, such as sine waves, rectangular waves, triangle waves, and other user-defined waves can be generated by the dynamic load device controller.     

珠江三角洲地区城中村土地供求的动态均衡分析

土地问题是我国城中村研究的核心问题。在对珠江三角洲地区城中村进行实地调研的基础上,就城中村主体的行为特征、城中村土地供应和需求的基本特征进行了总结。以理论推导与现实印证相结合的方法,基于经济学中的供求理论,对城中村土地供求变化进行了动态均衡分析。从村庄"内部人"的视角,考察在各种内外部因素变动(征地与留用地,城中村改造,村民城市化转型)的情况下,城中村主体如何实现土地的供应和需求均衡。总体上,城中村土地变化表现为土地需求被动地追随(因征地而发生的)供应减少而下降,以实现供求均衡。具体而言,在城中村形成阶段,供求均衡借助乡村工业化,即农业用地转为工业用地而实现;在城中村存续阶段,存在土地供求的逐渐失衡;在城中村改造阶段,供求均衡最终必须通过城市化,即村民转为市民而实现。     

近35 a内蒙古阿拉善盟绿洲化过程遥感分析

 绿洲是干旱区人类活动的高度聚集区,它的时空格局变化对社会经济发展有着至关重要的影响。以1975年至2010年间5期Landsat系列数据为信息源,通过目视解译提取阿拉善盟绿洲信息,在GIS空间分析功能的支持下,对绿洲时空格局变化进行了分析。研究结果表明,阿拉善绿洲按面积大小分布依次为:阿拉善左旗、额济纳旗和阿拉善右旗;1975—2010年间,阿拉善绿洲面积变化总体上呈先缩小后增长的趋势;其中草地的变化量最大,占整个绿洲变化面积的64.92%;研究区绿洲主导景观类型为天然草地,并且35 a内没有发生变化。     

青海省海东地区土地利用变化及其生态服务价值响应

根据青海省海东地区2002～2008年土地利用变更数据,采用土地利用动态度模型和土地利用综合指数分析该地区近7年来土地利用变化情况,并参考谢高地等人建立的中国陆地生态系统单位面积生态服务价值当量表对该区域当量表进行适当调整,测算了土地利用变化所引起的生态服务价值变化情况。研究表明：（1）2002～2008年,各类型土地利用变化速度各不相同,其中以水利设施用地变化速度最快为12．24％,土地利用程度波动上升;（2）土地利用变化所引起的生态服务价值总体上呈逐步上升趋势,由2002年的82．01×10^8元增加至2008年的88．16×10^8元,增加了6．15×10^8元;（3）各种土地利用类型的生态系统服务价值的敏感性指数均小于1,表明生态系统服务价值对价值系数的变化缺乏弹性,研究结果可信。     

Agricultural land use dynamics in the Brazilian Amazon based on remote sensing and census data

The potential impact of deforestation in the Brazilian Amazon on greenhouse gas emissions to the atmosphere calls for policies that take account of changes in forest cover. Although much research has focused on the location and effects of deforestation, little is known about the distribution and reasons for the agricultural uses that replace forest cover. We used Landsat TM-based deforestation and agricultural census data to generate maps of the distribution and proportion of four major agricultural land uses throughout the Brazilian Amazon in 1997 and 2007. We built linear and spatial regression models to assess the determinant factors of deforestation and those major agricultural land uses - pasture, temporary agriculture and permanent agriculture - for the states of Pará, Rondônia, and Mato Grosso. The data include 30 determinant factors that were grouped into two years (1996 and 2006) and in four categories: accessibility to markets, public policies, agrarian structure, and environment. We found an overall expansion of the total agricultural area between 1997 and 2007, and notable differences between the states of Pará, Rondônia, and Mato Grosso in land use changes during this period. Regression models for deforestation and pasture indicated that determinant factors such as distance to roads were more influential in 1997 than in 2007. The number of settled families played an important role in the deforestation and pasture, the effect was stronger in 2007 than 1997. Indigenous lands were significant in preventing deforestation in high-pressure areas in 2007. For temporary and permanent agricultures, our results show that in 1997 the effect of small farms was stronger than in 2007. The mapped land use time series and the models explain empirically the effects of land use changes across the region over one decade.     

安徽省池州市2001～2010年可持续发展动态测度与分析

安徽池州市是国家首个生态经济示范区,近十年来,城镇化、工业化水平的快速提升加剧了其发展的风险性和不稳定性,可持续发展面临较大挑战。基于生态足迹模型,对池州市2001～2010年生态足迹供给与需求进行了时间序列测度与分析,利用灰色GM(1,1)模型对2015年、2020年人均生态足迹进行了预测。结果表明:池州市人均生态足迹由2001年的1.2458hm²/人上升至2010年的2.2483hm²/人,年平均增长11.14%,人均生态赤字由0.8445hm²/人扩大至2010年的1.8266hm²/人;居民消费水平、能源消费量与人均生态足迹相关系数分别为0.844、0.945,为生态足迹驱动因素;研究时段内,能源生态足迹年均增长速度为83.75%,明显快于生物资源生态足迹增长速度;万元GDP生态足迹由2001年的2.98hm²/万元下降至2010年的1.20hm²/万元。预测2015年人均生态足迹为3.2336hm²/人,生态赤字将增至2.7926hm²/人;2020年人均生态足迹为4.4896hm²/人,生态赤字将扩大到4.0308hm²/人。针对池州生态不安全的现状,从减少能源消费、改变消费方式、提高农作物单产等方面提出了减少生态足迹的政策建议。