无人机航空伽马能谱数据处理中大气氡的修正

介绍了无人机航空伽马能谱数据处理中大气氡修正的一种方法——能谱比法的原理与方法、数据处理过程及其在无人机航空伽马能谱数据处理中的应用。使用该方法对喀什地区的无人机航空伽马能谱进行修正,修正后的航放U较好地反映了该区的地质情况,可以应用到生产实践中去。     

注浆堵漏止水技术在基坑工程中的应用

总结了用潜孔锤成孔,注入水泥浆、水玻璃双浆液封堵基坑面以上的明水,并利用袖阀管压力注浆封堵基坑面以下暗水的设计方案与施工方法.     

0.6～2.0GPa压力下部分熔融角闪辉长岩的纵波波速

利用超声波透射-反射法,测量了0.6～2.0 GPa、最高1 085℃条件下角闪辉长岩的纵波波速(vp),详细统计了部分熔融阶段实验产物组分的体积百分含量,利用矿物含量和弹性参数,计算了角闪辉长岩的纵波波速.实验测量和理论计算显示了较一致的vp-t关系,即高压下角闪辉长岩的vp随温度升高先缓慢降低,在温度约800～900℃后转而大幅下降.实验产物显示,样品在温度达812℃(0.6 GPa)、865℃(1.0 GPa)和919℃(2.0 GPa)后发生矿物脱水和部分熔融,熔体含量随温度升高显著增加.熔体是导致高温阶段岩石vp快速降低的主要原因.在初熔阶段vp随熔体增加而降低尤为显著,可能是初熔时矿物脱水生成的自由水及含水量高的熔体,以微细熔体薄膜浸润矿物边界或裂隙所导致.     

贵州涟江惠水段河流阶地特征与地貌演化研究

贵州涟江惠水段级次清晰的四级阶地是流域地貌阶段性演化的直观记录。笔者等利用差分GPS测量法精确厘定了涟江阶地的级序和高程,结合剖面观测发现从上游到下游,涟江惠水段阶地标高和级差逐渐降低,地貌面整体呈“收拢”趋势;阶地沉积物呈现砾石层厚度变小,砾石含量降低、砾径减小,砂质沉积占比增大趋势;阶地类型从基座阶地为主向堆积阶地为主演变。光释光（OSL）测年显示,T1阶地埋藏年龄31.2±2.0 ka BP到14.7±1.3 ka BP,T2阶地122.4±8.5 ka BP到66.9±3.8 ka BP,阶地年龄与贵州高原其他流域十分相近,具有同步演化特征。结合阶地时代和发育特征,认为贵州高原河流阶地是构造运动的产物。涟江四级阶地记录了在更新世以来四次构造抬升背景下,流域经过多期自北向南“削高补低”的地貌改造,逐步由构造洼地演变为山间盆地的地貌过程。     

北京通州某改造区土壤中DDTs和HCHs的地球化学特征及风险评价

选取北京通州环球影城附近某改造区为研究区域,共采集15件表层土壤样品,主要分析了该地区土壤中DDTs和HCHs的空间分布地球化学特征;采集垂向样品,并分析了DDTs和HCHs在土壤垂向剖面中的分布情况。表层土壤样品中大部分的DDTs和HCHs有检出,ΣDDTs的残留量为494~19615 μg·kg-1,ΣHCHs为082~1021 μg·kg-1。土壤垂向剖面分析结果表明,DDTs部分有检出,两剖面中残留量整体随深度变化不明显,但局部出现突变现象;HCHs全部检出,两剖面中残留量整体随着深度增加不断减少。参照国家相关标准对该区土壤环境整体进行评价,初步分析通州区环球影城地区土壤中残留DDTs除个别点符合二级标准外,其余都处于一级标准,残留风险较低;土壤中残留HCHs基本符合一级标准。结合不同异构体之间含量特征及分布,认为该地区局部近期可能存在HCHs输入现象。最后,对该改造区进行了健康风险评价,结果表明该区DDTs和HCHs在致癌风险和部分非致癌风险方面影响较小。     

灰色GM(1,1)模型和Verhulst模型在喀斯特地区耕地预测中的应用——以毕节生态试验区为例

毕节生态试验区是典型的喀斯特地区,人口密度大,生态环境脆弱,水土流失严重,耕地保护尤为重要.本文以毕节地区1998-2006年常用耕地面积统计数据为基础,分别利用灰色GM(1,1)模型和Verhulst模型对该喀斯特地区常用耕地面积变化作预测.预测结果表明,GM(1,1)模型和Verhulst模型都揭示了毕节地区常用耕地面积在未来几年呈逐年递减的趋势.但是通过模拟精度验证,研究区耕地面积原始数据变化曲线呈S型,就灰色GM(1,1)模型与Verhulst模型模拟预测结果相比较,对于原始数据的模拟,GM(1,1)模型预测精度较高,而Verhulst模型更适合研究区未来几年耕地面积变化的预测.该研究结果可为区域合理利用土地资源、编制土地利用规划和耕地保护提供依据.     

广州地铁小谷围岛站基坑支护设计与监测分析

依据地质条件与地形特点,对广州市小谷围岛地铁站基坑采用放坡土钉墙支护,部分地段采用超前钢管加强支护,盾构吊出井、调头井段采用钻孔灌注桩加内支撑支护方案。采用理正软件对不同设计剖面进行了理论计算分析。分析结果表明基坑安全可靠。依据有关规范制定了基坑施工监测方案,针对基坑工程施工监测结果进行了分析,可供同类工程借鉴。     

雷诺数对藻类垂向分布特性的影响

为研究紊流水体中藻类的垂向分布特性,依据三峡水库次级河流回水段的水动力状况,自行设计了水流实验装置,选取次级河流回水区水华高发时段的气候状况和营养盐水平为实验条件,研究了雷诺数对蓝藻、绿藻和硅藻垂向分布的影响以及雷诺数对不同水深处藻类的悬浮和聚集行为的作用.研究结果表明:在水温为20℃、光照强度为5000 lx的富营养水体中,当断面平均流速在0～0.005 m/s、雷诺数在0～1750时,蓝藻主要悬浮聚集在0.2～0.8 m的表层水体中;而当断面平均流速在0.1～0.5 m/s、雷诺数在35000～175000时,硅藻主要悬浮聚集在0.2～0.8 m的表层水体中;与蓝藻和硅藻相比,绿藻适宜的雷诺数范围更宽,当断面平均流速在0～0.05 m/s、雷诺数在0～17500时,绝大部分的绿藻都能悬浮聚集在0.2～0.8 m的表层水体中.     

DEVELOPMENT OF EARTHQUAKE EMERGENCY DISASTER INFORMATION PRE-EVALUATION DATA BASED ON KM GRID

After an earthquake, earthquake emergency response and rescue is one of the effective ways to reduce casualties from the earthquake. Earthquake emergency disaster information is one of crucial factors to effectively guide the rescue work. However, there is a "black box effect" on the emergency disaster information acquisition after an earthquake, which means real-time earthquake disaster information is insufficient. Hazard estimates are usually used as a substitute for the real-time disaster information in the "black box" period. However, it is subject to the accuracy and speed of the estimation. The development of the km grid technology provides good prospect to solve this problem. The paper suggests to develop earthquake disaster information pre-estimation data with the support of the km grid technology. The definition and source of the pre-estimation data are introduced and its possibility in improving the estimation speed and accuracy are analyzed theoretically. Then, we elaborate the calculation model of the pre-estimation data. The framework of the model includes disaster-bearing body data, disaster-causing factors used in calculation and calculation formula. The disaster-bearing body data in km grid format are introduced, including population data in km grid format and building data in km grid format. Then the four elements of the earthquake(earthquake occurrence time, earthquake location, earthquake magnitude and focal depth)are selected as disaster-causing factors for calculation. Map algebra method is used to realize the calculation model in which calculation parameters are associated with base map in the km grid format. So the pre-estimation data are developed by python and ArcGIS, which includes building damage dataset(100 layers), death toll dataset(10 layers)and direct economic loss dataset(5 layers). Finally, the pre-estimation data based method for earthquake emergency disaster information estimation is presented. With the support of this method, two real earthquake cases are used to validate the effect of the pre-estimation data. The validation results show the pre-estimation data can not only significantly improve the speed of the estimation but also greatly improve the accuracy of the estimation. Another good result is found in the validation process that with the support of the pre-estimation data, the estimated result can display the spatial distribution of the disaster information, which will effectively aid earthquake emergency response and rescues.     

PRE-ASSESSMENT OF EARTHQUAKE-INDUCED LOSSES BASED ON FIELD SURVEY AND KILOMETER GRID DATASET: A CASE STUDY FROM DEHONG DAI-JINGPO AUTONOMOUS PREFECTURE

The pre-assessment of earthquake damage based on field surveys and grid dataset in 1km resolution is very helpful for emergency preparedness and mitigation of earthquake disaster losses.In this paper,we briefly introduced the contents,principles,methods and the results of software assessment as well as the revised results after field surveys.In addition,the emergency supplies and manpower requirements after the outbreak of earthquake are discussed.The assessment contents include the earthquake affected area and population,the amount of casualties,injuries,economic losses,and the number of population to be resettled.Scenario earthquake is set with an interval of 50 kilometers along the major faults and the losses induced by earthquake are outputted by the software.After that,the software outputs are revised based on field surveys.In addition,according to the earthquake cases happening between 2008 and 2015,the growth curve model used to estimate the demand of rescue supplies and teams is also proposed in this study.Based on this model and the software named earthquake emergency disaster rapid assessment and dynamic visualized software (NIE Gao-zhong,2014),and with the help of the statistical data such as population density and socio-economic situations,earthquake losses are pre-assessed by taking Dehong Dai-Jingpo Autonomous Prefecture as an example.The comparison shows that the actual losses are nearly the same as the software outputs.However,due to the ignorance of the casualties caused by geological disasters,the revised casualties are more than the software output.Not only the study area discussed in this paper,the earthquake loss assessment method can also be used to other regions in China.