困难立地条件下的赣北地区高速公路边坡植物调查及研究

本研究的目的在于调查困难立地条件下的赣北地区10条高速公路边坡植物群落,筛选出边坡乔木层,灌木层、草本层的优势种植物,总结江西省几十年的高速公路边坡植被恢复模式实践经验,将植被恢复情况较好的边坡整理归纳出生态恢复模式,对植被恢复较差的边坡提出针对性和可操作性的优化对策,为后期高速公路边坡植被恢复及养护工作提供参考,以实现江西省高速公路生态效益、社会效益、观赏效益的最大化.     

Functional porous carbons from waste cotton fabrics for dyeing wastewater purification

A new functional porous carbons (PC-WF) is prepared by activation-pyrolysis method use waste cotton fabrics (WF) as an abundant, cheap and available precursor for removal of Brilliant Crocein (BC-GR) and Cationic Red 2GL (CR-GL) from aqueous phase. The PC-WF was characterized by BET, FTIR, SEM, and XRD techniques, the surface area, total pore volume, average pore diameter was found as 1463.5 m² g^-1, 0.783 cm³ g^-1 and 2.14 nm, respectively. The influences on BC-GR and CR-GL adsorption of various experimental factors such as initial concentration and temperature were investigated. Adsorption kinetics was found to be best represented by the pseudo-second order model. The adsorption capacity was 319.8 mg g^-1 for BC-GR and 842.5 mg g^-1 for CR-GL at 30 °C, respectively. The results indicate that for waste cotton fabrics in particular, the practical application of this process to the production of porous carbon would be possible.     

蚕豆抗绿豆象种质资源的鉴定

仓储型害虫绿豆象对蚕豆的安全储藏和品质经常造成重大损失,严重制约着我国蚕豆产业的发展。选育和利用抗虫品种是防治绿豆象最为安全、有效的途径。在室温条件下,对500份蚕豆资源进行连续两年的绿豆象饱和侵染处理,以期筛选出有利用价值的抗绿豆象种质资源,为蚕豆抗虫性种质创新利用提供依据。筛选结果显示,来源于春播区和秋播区的蚕豆资源,每粒蚕豆虫孔数分别为0.92±0.59、1.05±0.42,差异显著(P0.05);粒色为青绿色(绿色、青绿、乳白)和深色(紫色、黑色、褐色等)的蚕豆资源,每粒虫孔数分别为1.30±0.62、0.85±0.43,差异显著(P0.05)。利用Structure软件和Popgen、MEGA软件分别对500份材料的抗虫性进行群体结构分析和聚类分析,可分为5个与地理分布相关的亚群。同时筛选出H0048、H0092、H0094、H001455、H001471、H001787共6份高抗绿豆象的蚕豆资源。     

浅谈油气管道完整性管理模式

本文基于国内外油气管道完整性管理(PIM)成果的基础，从数据收集和研究、高后果区分析、完整性评估、管道检测与执行、管道维护修复、效能分析等方面进行具体PIM描述，从体系文件、标准规范、系统平台、支持技术、实施应用五个层面构建PIM管理体系框架。     

基于RS与GIS的山东某煤矿区历史遗留损毁土地调查

我国地域辽阔，但可利用土地资源少，同时由于生产建设和自然灾害等，造成许多优质土地资源损毁。调查清楚土地损毁情况，采取针对性的土地复垦措施，在目前经济发展中显得尤为迫切。以山东某矿区为例，确定了历史遗留损毁土地的划定依据，利用RS与GIS等技术手段对矿区进行地表沉陷预计，用遥感影像提取土地利用变化情况，得到了历史遗留损毁土地的位置、面积和损毁类型等信息，为后期土地复垦与规划提供参考。      

Characterizing long-term forest disturbance history and its drivers in the Ning-Zhen Mountains,Jiangsu Province of eastern China using yearly Landsat observations (1987–2011)

Forest losses or gains have long been recognized as critical processes modulating the carbon flux between the biosphere and the atmosphere. Timely, accurate and spatially explicit information on forest disturbance and recovery history is required for assessing the effectiveness of existing forest management. The major objectives of our research focused on testing the mapping efficacy of the vegetation change tracker (VCT) model over a forested area in China. We used a new version of VCT algorithm built upon the Landsat time series stacks (LTSS). The LTSS consisted of yearly image acquisitions to map forest disturbance history from 1987 to 2011 over the Ning-Zhen Mountains, Jiangsu Province of east China. The LTSS consisted of TM and ETM+ scenes with different projections due to distinct data sources (Beijing remote sensing ground station and the USGS EROS Center). The validation results of the disturbance year maps showed that most spatial agreement measures ranged from 70 to 86 %, comparable with the VCT accuracies reported for many places in USA. Very low accuracies were identified in 1995 (38.3 %) and 1992 (56.2 %) in the current analysis. These resulted from the insensitivity of the VCT algorithm to detect low intensity disturbances and also from the mis-registration errors of the image pairs. Major forest disturbance types existing in our study area were identified as agricultural expansion (39.8 %), urbanization (24.9 %), forest management practice (19.3 %), and mining (12.8 %). In general, there was a gradual decreasing trend in forest cover throughout this region, caused principally by China’s economic, demographic, environmental and political policies and decisions, as well as some weather events. While VCT has largely been used to assess long term changes and trends in the USA, it has great potential for assessing landscape level change elsewhere throughout the world.