三峡库区巫山县城新址岩质库岸再造预测

巫山县城新址位于西坪和大宁河两岸.组成该库段的基岩主要为泥岩、粉砂岩、泥灰岩等,岩性较软弱,且地质构造变动强烈,褶皱、断裂发育,岩层破碎,崩塌、滑坡分布较多,库岸再造问题严重;同时,岸坡再造又严重影响着新县城的规划和库岸的防护.因此把稳态坡形类比法应用于巫山县城新址基岩岸坡的再造预测,定量预测库岸的最终再造宽度,以指导新城的规划与建设.     

Site characterization model using least‐square support vector machine and relevance vector machine based on corrected SPT data (Nc)

Statistical learning algorithms provide a viable framework for geotechnical engineering modeling. This paper describes two statistical learning algorithms applied for site characterization modeling based on standard penetration test (SPT) data. More than 2700 field SPT values (N) have been collected from 766 boreholes spread over an area of 220 sqkm area in Bangalore. To get N corrected value (N_c), N values have been corrected (N_c) for different parameters such as overburden stress, size of borehole, type of sampler, length of connecting rod, etc. In three‐dimensional site characterization model, the function N_c=N_c (X, Y, Z), where X, Y and Z are the coordinates of a point corresponding to N_c value, is to be approximated in which N_c value at any half‐space point in Bangalore can be determined. The first algorithm uses least‐square support vector machine (LSSVM), which is related to a ridge regression type of support vector machine. The second algorithm uses relevance vector machine (RVM), which combines the strengths of kernel‐based methods and Bayesian theory to establish the relationships between a set of input vectors and a desired output. The paper also presents the comparative study between the developed LSSVM and RVM model for site characterization. Copyright © 2009 John Wiley & Sons, Ltd.     

地基探测与NCEP GFS模式预报云量在ARM SGP站点对比

使用大气辐射测量实验(Atmospheric Radiation Measurements:ARM)在美国南部大平原站点(Southern Great Plains:SGP)长时间序列(2001 2010年)的地基主动遥感云(Active Remote Sensing of Clouds:ARSCL)和美国国家环境预报中心(National Centers for Environmental Prediction:NCEP)全球预报系统(Global Forecast System:GFS)模式预报资料,对比分析了两者云量在不同时间尺度内(年际、月份和季节)的差异。结果表明,GFS模式预报总云量为83.8%,略高于地基观测结果(78.1%);两者总云量差异在秋季最大(8.8%),春季最小(2.2%)。在低垂直高度分辨率(≥3 km)时,地基探测低云、中云和高云的云量分别为46.1%、43.5%和61.2%;模式预报三类云的云量均要高于地基探测的云量,差异分别为9.6%、17.2%和9.1%。但是,在高垂直分辨率(250 m)时,地基探测云量在大多数高度层上要高于模式预报结果。这应该是两种资料廓线中有云出现的高度层数目存在差异引起的。地基观测和GFS模式预报同时表明,SGP站点上空云量垂直廓线呈现双峰结构,在边界层附近(1 km)和上对流层区域(8-12 km)云量较大,2-3 km高度范围内云量较小。在春夏秋冬四个季节内,两种资料在低层边界层附近的最大云量偏差分别为9.5%、8.8%、7.8%和11.2%。     

Recent advances in (soil moisture) triple collocation analysis

To date, triple collocation (TC) analysis is one of the most important methods for the global-scale evaluation of remotely sensed soil moisture data sets. In this study we review existing implementations of soil moisture TC analysis as well as investigations of the assumptions underlying the method. Different notations that are used to formulate the TC problem are shown to be mathematically identical. While many studies have investigated issues related to possible violations of the underlying assumptions, only few TC modifications have been proposed to mitigate the impact of these violations. Moreover, assumptions, which are often understood as a limitation that is unique to TC analysis are shown to be common also to other conventional performance metrics. Noteworthy advances in TC analysis have been made in the way error estimates are being presented by moving from the investigation of absolute error variance estimates to the investigation of signal-to-noise ratio (SNR) metrics. Here we review existing error presentations and propose the combined investigation of the SNR (expressed in logarithmic units), the unscaled error variances, and the soil moisture sensitivities of the data sets as an optimal strategy for the evaluation of remotely-sensed soil moisture data sets.     

不同地形条件地面同步光谱定标场对比研究

利用美国ASD公司的FieldSpec Pro FR地面波谱仪,选择5°视场角探头和135cm探头距测试地物高度,开展0°、5°、10°、15°、20°等五种不同地形坡度明、暗地物自然定标场地面波谱测试。通过对比研究不同地形坡度具代表性、能真实反映被测试目标平均自然性的各波谱测试点波谱曲线特征,得出0°、5°地形坡度获取的波谱曲线连续、平滑,信噪比高,没有混入大气水气吸收、仪器噪声等因素导致的剧烈波动、跳跃现象或尖锐锯齿状噪声,波谱特征明显,吸收峰最小值位置清晰可辨,各波谱测试点波谱曲线变化幅度小,整体反射率值变化小,Fe~(2+)、Fe~(3+)、Al-OH、Mg-OH、CO_3~(2-)等分子基团与离子波谱的诊断性波谱特征位置清晰可辨。因此0°和5°坡度地形条件获取的地面同步自然场光谱定标波谱曲线,可以满足航空高光谱遥感数据的大气校正、光谱重建和空、地回归分析等所需的地面波谱数据要求。     

城市生活垃圾卫生填埋场沉降变形分析

城市生活垃圾填埋场地基沉降和垃圾堆体沉降受到的影响因素多,现行规范的计算方法直接采用与实际相差较大,为减少不均匀沉降对垃圾防渗层的影响、准确确定垃圾储量和保证垃圾堆体的稳定,开展垃圾填埋场沉降研究具有重要意义。垃圾填埋场沉降变形包括地基沉降和垃圾堆体沉降,垃圾堆体沉降又分为主沉降和次沉降,主沉降完成时间短于次沉降。通过对陕西省宝鸡市垃圾填埋场地基土进行沉降计算,最大沉降差超过100 mm,对垃圾防渗层不利影响较大;而对垃圾堆体沉降计算,修正后的计算值与沉降观测值非常接近。考虑不同地区地层差异和垃圾成分差异,积累沉降观测资料具有重要意义。     

走滑断裂古地震探槽选址范例

探槽选址直接决定了古地震研究的质量,且理想探槽位置具有稀缺性。在收集82篇国内外走滑断裂古地震研究论文的基础上,分析了长序列古地震探槽选址和同震位移探槽选址的构造地貌共性特征。长序列古地震探槽一般布设在断塞塘、拉分盆地、小型湖盆、闸门脊汇水一侧及比较平缓的冲洪积扇或大型冲洪积扇末端等地貌位置。这些地貌位置的共同特征是位于连续的、较高沉积速率的沉积环境,且通常富集14C测年物质。在探槽选址的过程中,不仅要对现今沉积环境,也要对其古地理环境进行评价。然而以发掘古地震同震位移为目的的探槽选址则不同,成功的研究点往往较频繁发生侵蚀和下切事件,其中冲沟是最常见的地貌标志。探槽布设以垂直和平行探槽为主,采取逐次掘进或相间平行排列的方式开挖。由于理想探槽位置的稀缺性,所以在这些优质的探槽点一定要开展长期详细地深入研究,最大限度获得古地震事件的长序列,同时也要注意新技术和新方法的应用。     

Landfill site selection based on reliability concepts using the DRASTIC method and AHP integrated with GIS – a case study of Bengaluru city,India

The selection of landfill sites for municipal solid waste (MSW) disposal involves consideration of geological, hydrological and environmental parameters which exhibit large spatial variability. Therefore, it is necessary to define, to what extent the chosen sites are reliable such that the probability of environmental pollution and health risks to population is minimal. In the present study, groundwater vulnerability to contamination has been assessed using the standard DRASTIC method. The results showed that the study region has 9.45% of very less, 32.94% of less, 25.47% of moderate, 22.79% of high and 9.35% of very high vulnerable zones. The study also revealed that none of the landfills are located in safe zones. This suggests that it requires proper remedial measures to avoid environmental pollution. A landfill site selection process has been carried out using the Analytical Hierarchy Process integrated with Geographical Information System tools. The obtained results showed that only 3.59?km² (0.08%) of the total area is suitable for landfills. The reliability analysis of the site suitability revealed that landfills are located at unreliable locations where the probability of risk to environmental pollution is high. The presented approach assists decision-makers in selecting reliable locations for the safe disposal of MSW.     

季节性低温胁迫下陇东黄土高原油污土壤环境因子对耐冷混合菌场地生态修复的响应

为了揭示季节性低温胁迫下陇东黄土高原油污土壤环境因子对耐冷混合菌场地生态修复的响应机制,利用自主筛选构建的耐冷石油降解混合菌在甘肃省庆阳市庆城县马岭镇长庆油田陇东油泥处理站开展了为期7个月的场地修复实验,采用常规方法测定了不同季节土壤理化特性、酶活性和微生物群落特性等环境指标。结果表明：（1）在季节性低温胁迫下（9-11月）M2组（耐冷混合菌处理组）月平均降解率明显增加（P<0.01）,JZJ+M1组（金盏菊联合常温混合菌处理组）和M2组累计TPH降解率分别为15.37%±3.51%和28.64%±4.12%。（2）M2组土壤脱氢酶和多酚氧化酶在低温季节（LT）活性最高,且温度和处理存在显著交互作用（P<0.01）。在土壤营养元素方面,无论何种处理方式（JZJ+M1和M2）二者含量均为RT（常温季节）高于LT（P<0.05）,同时明显高于CK组（P<0.05）。（3）M2组土壤微生物群落Shannon-Wiener指数和均匀度指数在LT高于RT（P<0.05）。（4）NMDS和Pearson相关性分析结果显示,M2组在低温季节具有较高TPH降解率主要与土壤多酚氧化酶、脱氢酶、单月TPH降解率（μ2）和Shannon-Wiener指数有关,且均呈极显著正相关关系。通过分析环境因子的季节响应,优化场地修复在低温环境的降解条件、加速低温期石油烃降解速率,以期为陇东地区低温耐冷混合菌场地生态修复技术的推广应用提供参考和基础数据资料。     

某Cr(Ⅵ)污染场地修复的PRB反应材料及结构设计研究

渗透反应格栅(permeable reactive barrier,PRB)在国外被广泛应用于场地尺度的地下水污染修复,因其无须外源动力、不占地面空间、运行成本低等优势在国内受到广泛关注。不同场地水文地质条件、污染物类型、污染羽分布具有差异性,前期场地调查、反应材料的筛选、反应墙尺寸结构的设计对于PRB的有效运行至关重要。本文以PRB修复河南某Cr(Ⅵ)污染场地为例,详细阐述场地调查、材料筛选、材料反应参数确定、PRB结构优化等方面的研究过程及成果,可为后续PRB修复技术的应用提供参考。研究结果表明:PRB修复技术适用于该场地,铸铁与活性炭混合材料为最佳修复材料;反应门长40 m(反应材料厚2 m,上下游分别为2 m厚砾石层),东西两侧隔水墙长为60 m的U型漏斗-门系统型PRB,可有效捕获并修复污染羽,工程成本远低于连续反应墙式PRB,为该场地修复最优PRB结构类型。