汶川8.0级地震都江堰市天然气系统震害分析及救灾过程

四川都江堰市地处龙门山主山前边界大断裂上,在汶川8.0级地震烈度分布图中属于Ⅸ度区,是地震受灾最严重的城市之一。作为城市生命线的天然气供应链在本次地震中遭遇了一定的破坏。通过对都江堰市天然气系统的基本构成、震害情况以及应急救灾过程等的调查与整理,对都江堰燃气系统中门站、CNG加气站、中压配气管网及低压配气支管各组成部分在地震中的震害情况进行了分析,对震后的应急处置措施、供气恢复策略及灾后重建工作进行了综述,总结了汶川地震中都江堰天然气系统的应灾经验及救灾环节中的不足之处,并就如何提高燃气系统的抗震应灾能力提出建议。     

汶川8.0级地震非承重墙体震害调查分析

通过对汶川8.0级地震发生后西安、成都地区(地震烈度为Ⅵ～Ⅶ度区)的高层建筑震害调查,以某小区震后建筑物非承重墙体裂缝为实例,给出了高层建筑震害易发生的部位和楼层,分析了非承重墙体裂缝产生的原因。震害调查表明:汶川地震中,在抗震设防烈度为Ⅵ～Ⅷ度区,当地震烈度为Ⅵ～Ⅶ度时,非承重墙抗震性能的表现不尽如人意。提出了应对非承重墙体制定设防目标,且非承重结构构件的抗震设防目标应与主体结构设防目标相适应,使建筑结构设计,对非承重墙的抗震设防有据可依,使灾后有可能对设计与施工的质量进行评估,通过有区别地加强非承重墙的抗震构造措施,减小建筑物的震害损失。     

ERS-2 SAR和Landsat ETM+数据融合提取崇明东滩典型地物信息与分类

以长江口崇明东滩为研究区,在分析崇明东滩典型地物的反射光谱特性和散射特性的基础上,对ERS-2 SAR数据和Landsat ETM＋数据分别进行了处理,其中对ERS-2 SAR数据进行了小波去噪处理和纹理特征信息的提取,对ETM＋数据进行了HIS彩色空间变换,然后在特征级层次上对两者进行了信息融合,最后对融合后的图像进行了典型地物信息的提取,并且根据我们野外实地调查数据和已有的研究成果,对本文的分类结果进行了评价,取得了满意的效果。     

Arsenic species analysis in porewaters and sediments using hydride generation atomic fluorescence spectrometry

It was observed that the atomic fluorescence emission due to signal during the determination of As（Ⅲ） in the mixture of As（Ⅲ） and As（V） could has a 10% to 40% of fluorescence emission As（V）. Besides, interferes from heavy metals such as Pb（Ⅱ）, Cu（Ⅱ） can cause severe increase of the signals as compared to the insignificant effects caused by Cd（Ⅱ）, Zn（Ⅱ）, Mn（Ⅱ） and Fe（Ⅲ）. On the basis of further studies, the masking agent of 8-hydroxyquinoline was used as an efficient agent to eliminate interference of As（V） emission and the heavy metal of Cu^2＋ and Pb^2＋ in the measurements of arsenic species, After a series standard additions and CRM researches, a sensitive and interference-free analytical procedure was developed for the speciation of arsenic in samples of porewaters and sediments in Poyang Lake, China.     

Integration of Satellite Imagery and Forest Inventory in Mapping Dominant and Associated Species at a Regional Scale

To achieve the overall objective of restoring natural environment and sustainable resource usability, each forest management practice effect needs to be predicted using a simulation model. Previous simulation efforts were typically confined to public land. Comprehensive forest management practices entail incorporating interactions between public and private land. To make inclusion of private land into management planning feasible at the regional scale, this study uses a new method of combining Forest Inventory and Analysis (FIA) data with remotely sensed forest group data to retrieve detailed species composition and age information for the Missouri Ozark Highlands. Remote sensed forest group and land form data inferred from topography were integrated to produce distinct combinations (ecotypes). Forest types and size classes were assigned to ecotypes based on their proportions in the FIA data. Then tree species and tree age determined from FIA subplots stratified by forest type and size class were assigned to pixels for the entire study area. The resulting species composition map can improve simulation model performance in that it has spatially explicit and continuous information of dominant and associated species, and tree ages that are unavailable from either satellite imagery or forest inventory data. In addition, the resulting species map revealed that public land and private land in Ozark Highlands differ in species composition and stand size. Shortleaf pine is a co-dominant species in public land, whereas it becomes a minor species in private land. Public forest is older than private forest. Both public and private forests have deviated from historical forest condition in terms of species composition. Based on possible reasons causing the deviation discussed in this study, corresponding management avenues that can assist in restoring natural environment were recommended.     

The perpetual state of emergency that sacrifices protected areas in a changing climate

A modern challenge for conservation biology is to assess the consequences of policies that adhere to assumptions of stationarity (e.g., historic norms) in an era of global environmental change. Such policies may result in unexpected and surprising levels of mitigation given future climate‐change trajectories, especially as agriculture looks to protected areas to buffer against production losses during periods of environmental extremes. We assessed the potential impact of climate‐change scenarios on the rates at which grasslands enrolled in the Conservation Reserve Program (CRP) are authorized for emergency harvesting (i.e., biomass removal) for agricultural use, which can occur when precipitation for the previous 4 months is below 40% of the normal or historical mean precipitation for that 4‐month period. We developed and analyzed scenarios under the condition that policy will continue to operate under assumptions of stationarity, thereby authorizing emergency biomass harvesting solely as a function of precipitation departure from historic norms. Model projections showed the historical likelihood of authorizing emergency biomass harvesting in any given year in the northern Great Plains was 33.28% based on long‐term weather records. Emergency biomass harvesting became the norm (>50% of years) in the scenario that reflected continued increases in emissions and a decrease in growing‐season precipitation, and areas in the Great Plains with higher historical mean annual rainfall were disproportionately affected and were subject to a greater increase in emergency biomass removal. Emergency biomass harvesting decreased only in the scenario with rapid reductions in emissions. Our scenario‐impact analysis indicated that biomass from lands enrolled in the CRP would be used primarily as a buffer for agriculture in an era of climatic change unless policy guidelines are adapted or climate‐change projections significantly depart from the current consensus.     

介孔涂层SPME- HPLC联用测定水样中的多环芳烃

以辛基键合SBA- 15为固相微萃取(SPME)的吸附涂层,考察了吸附和解吸时间、萃取温度、搅拌速率对SPME效率的影响,该方法的线性范围分别为0.4-300μg/L、4.0-450μg/L,检出限为0.3μg/L、0.10μg/L,以此方法测定了环境水样中萘、蒽的含量.该方法具有灵敏度高和精密度好的特点.     

Geospatial and Temporal Analysis of a 20‐Year Record of Landsat‐Based Water Clarity in Minnesota's 10,000 Lakes

A large 20‐year database on water clarity for all Minnesota lakes ≥8 ha was analyzed statistically for spatial distributions, temporal trends, and relationships with in‐lake and watershed factors that potentially affect lake clarity. The database includes Landsat‐based water clarity estimates expressed in terms of Secchi depth (SD_Landsat), an integrative measure of water quality, for more than 10,500 lakes for time periods centered around 1985, 1990, 1995, 2000, and 2005. Minnesota lake clarity is lower (more turbid) in the south and southwest and clearer in the north and northeast; this pattern is evident at the levels of individual lakes and ecoregions. Temporal trends in clarity were detected in ~11% of the lakes: 4.6% had improving clarity and 6.2% had decreasing clarity. Ecoregions in southern and western Minnesota, where agriculture is the predominant land use, had higher percentages of lakes with decreasing clarity than the rest of the state, and small and shallow lakes had higher percentages of decreasing clarity trends than large and deep lakes. The mean SD_Landsat statewide remained stable from 1985 to 2005 but decreased in ecoregions dominated by agricultural land use. Deep lakes had higher clarity than shallow lakes statewide and for lakes grouped by land cover. SD_Landsat decreased as the percentage of agriculture and/or urban area increased at county and catchment levels and it increased with increasing forested land.