Numerical simulation of the 30–45 ka debris avalanche flow of Montagne Pelée volcano,Martinique: from volcano flank collapse to submarine emplacement

Natural Hazards - In November 2015, China government announced that the national carbon emissions trading market is expected to start in 2017. Carbon emission trading system is a raising concern...     

地震多属性拟合技术在粗粒扇体沉积相图编制中的应用--以玛131井区百口泉组二段为例

由于砾岩岩石类型复杂,储层非均质性强,难以建立地震属性与储层之间的一一对应关系,导致应用地震属性常常具有不确定性和多解性。为了克服单一属性反映粗粒沉积展布的片面性,同类属性间相关信息的彼此干扰性,地震相预测扇体分布的盲目性,针对性的提出了基于地震多属性拟合技术编制粗粒扇体沉积相图的方法:1）建立岩性识别图版;2）属性优化与线性逐步回归拟合含砂砾率;3）均方根振幅属性正态分布约束砂体边界;4）应用拟合含砂砾率等值线图,结合岩相和测井相编制粗粒扇体沉积相图。并将该方法用于玛131井区百口泉组二段的沉积研究中,为研究粗粒扇体沉积提供了新的思路,为玛湖滚动勘探及井位论证提供了可靠地质依据。     

地学，现代高端旅游发展之根基

本文论述了中国地学会组建与分立,中国地理科学与地质科学的创建与杰出人士的贡献,概述了现代旅游地学(旅游地理、旅游地质)发展进程与成就,探讨地学旅游何以是高端旅游根基问题。提出旅游"以人为本",追求"人地和谐"、"天人合一"创新境界。提倡"寓教于游"、"寓政于游"、"寓文于游",让人类游中得益,扩大眼界,增加新识,获得信息,丰富阅历,开启智慧,增强体质,促进精神饱满,精力充沛,从而投入新一轮工作,彰显"培育与修复生产力"的功能。作为产业集群,扩大就业,改善生态,富民美地,旅游消费成为度量人类幸福指数的重要标志之一。     

Environmental Radioxenon Levels in Europe: a Comprehensive Overview

Activity concentration data from ambient radioxenon measurements in ground level air, which were carried out in Europe in the framework of the International Noble Gas Experiment (INGE) in support of the development and build-up of a radioxenon monitoring network for the Comprehensive Nuclear-Test-Ban Treaty verification regime are presented and discussed. Six measurement stations provided data from 5 years of measurements performed between 2003 and 2008: Longyearbyen (Spitsbergen, Norway), Stockholm (Sweden), Dubna (Russian Federation), Schauinsland Mountain (Germany), Bruyères-le-Châtel and Marseille (both France). The noble gas systems used within the INGE are designed to continuously measure low concentrations of the four radioxenon isotopes which are most relevant for detection of nuclear explosions: ^131mXe, ^133mXe, ¹³³Xe and ¹³⁵Xe with a time resolution less than or equal to 24 h and a minimum detectable concentration of ¹³³Xe less than 1 mBq/m³. This European cluster of six stations is particularly interesting because it is highly influenced by a high density of nuclear power reactors and some radiopharmaceutical production facilities. The activity concentrations at the European INGE stations are studied to characterise the influence of civilian releases, to be able to distinguish them from possible nuclear explosions. It was found that the mean activity concentration of the most frequently detected isotope, ¹³³Xe, was 5–20 mBq/m³ within Central Europe where most nuclear installations are situated (Bruyères-le-Châtel and Schauinsland), 1.4–2.4 mBq/m³ just outside that region (Stockholm, Dubna and Marseille) and 0.2 mBq/m³ in the remote polar station of Spitsbergen. No seasonal trends could be observed from the data. Two interesting events have been examined and their source regions have been identified using atmospheric backtracking methods that deploy Lagrangian particle dispersion modelling and inversion techniques. The results are consistent with known releases of a radiopharmaceutical facility.     

Comparison of LiDAR waveform processing methods for very shallow water bathymetry using Raman,near‐infrared and green signals

Airborne light detection and ranging (LiDAR) bathymetry appears to be a useful technology for bed topography mapping of non‐navigable areas, offering high data density and a high acquisition rate. However, few studies have focused on continental waters, in particular, on very shallow waters (<2 m) where it is difficult to extract the surface and bottom positions that are typically mixed in the green LiDAR signal. This paper proposes two new processing methods for depth extraction based on the use of different LiDAR signals [green, near‐infrared (NIR), Raman] of the SHOALS‐1000T sensor. They have been tested on a very shallow coastal area (Golfe du Morbihan, France) as an analogy to very shallow rivers. The first method is based on a combination of mathematical and heuristic methods using the green and the NIR LiDAR signals to cross validate the information delivered by each signal. The second method extracts water depths from the Raman signal using statistical methods such as principal components analysis (PCA) and classification and regression tree (CART) analysis. The obtained results are then compared to the reference depths, and the performances of the different methods, as well as their advantages/disadvantages are evaluated. The green/NIR method supplies 42% more points compared to the operator process, with an equivalent mean error (?4·2 cm verusu ?4·5 cm) and a smaller standard deviation (25·3 cm verusu 33·5 cm). The Raman processing method provides very scattered results (standard deviation of 40·3 cm) with the lowest mean error (?3·1 cm) and 40% more points. The minimum detectable depth is also improved by the two presented methods, being around 1 m for the green/NIR approach and 0·5 m for the statistical approach, compared to 1·5 m for the data processed by the operator. Despite its ability to measure other parameters like water temperature, the Raman method needed a large amount of reference data to provide reliable depth measurements, as opposed to the green/NIR method. Copyright © 2010 John Wiley & Sons, Ltd.     

SCALES: a large‐scale assessment model of soil erosion hazard in Basse‐Normandie (northern‐western France)

The cartography of erosion risk is mainly based on the development of models, which evaluate in a qualitative and quantitative manner the physical reproduction of the erosion processes (CORINE, EHU, INRA). These models are mainly semi‐quantitative but can be physically based and spatially distributed (the Pan‐European Soil Erosion Risk Assessment, PESERA). They are characterized by their simplicity and their applicability potential at large temporal and spatial scales. In developing our model SCALES (Spatialisation d'éChelle fine de l'ALéa Erosion des Sols/large‐scale assessment and mapping model of soil erosion hazard), we had in mind several objectives: (1) to map soil erosion at a regional scale with the guarantee of a large accuracy on the local level, (2) to envisage an applicability of the model in European oceanic areas, (3) to focus the erosion hazard estimation on the level of source areas (on‐site erosion), which are the agricultural parcels, (4) to take into account the weight of the temporality of agricultural practices (land‐use concept). Because of these objectives, the nature of variables, which characterize the erosion factors and because of its structure, SCALES differs from other models. Tested in Basse‐Normandie (Calvados 5500 km²) SCALES reveals a strong predisposition of the study area to the soil erosion which should require to be expressed in a wet year. Apart from an internal validation, we tried an intermediate one by comparing our results with those from INRA and PESERA. It appeared that these models under estimate medium erosion levels and differ in the spatial localization of areas with the highest erosion risks. SCALES underlines here the limitations in the use of pedo‐transfer functions and the interpolation of input data with a low resolution. One must not forget however that these models are mainly focused on an interregional comparative approach. Therefore the comparison of SCALES data with those of the INRA and PESERA models cannot result on a convincing validation of our model. For the moment the validation is based on the opinion of local experts, who agree with the qualitative indications delivered by our cartography. An external validation of SCALES is foreseen, which will be based on a thorough inventory of erosion signals in areas with different hazard levels. Copyright © 2010 John Wiley & Sons, Ltd.     

利用重复地震估算北京平原地区隐伏断裂深部的活动速率

利用首都圈数字化地震台网2001—2006年的波形资料分析北京平原地区隐伏断裂的深部滑动速率。通过波形互相关分析,识别出35组相似地震对和20组多重相似对,大部分相似地震活动表现为非周期性,重复间隔从数分钟到数百天不等。针对研究区内台站分布稀疏和低信噪比波形记录的现状,在波形相似的基础上,提出了采用在子采样条件下的S-P相对到时差(dSmP)和相对到时拾取误差来对相似地震震源位置的一致性进行强约束,进一步探索和完善波形意义上重复地震的识别方法。基于4组"重复地震"估算北京平原区黄庄-高丽营断裂和南口-孙河断裂在不同孕震深度处的滑动速率为1.0～1.2mm/a,怀安镇盆地南缘断裂地表以下9.4km处的滑动速率估计值为1.5mm/a,这一结果和地质资料结果相符。     

Cristobalite in a rhyolitic lava dome: evolution of ash hazard

Prolonged and heavy exposure to particles of respirable, crystalline silica-rich volcanic ash could potentially cause chronic, fibrotic disease, such as silicosis, in individuals living in areas of frequent ash fall. Here, we show that the rhyolitic ash erupted from Chaitén volcano, Chile, in its dome-forming phase, contains increased levels of the silica polymorph cristobalite, compared to its initial plinian eruption. Ash erupted during the initial, explosive phase (2–5 May 2008) contained approximately 2 wt.% cristobalite, whereas ash generated after dome growth began (from 21 May 2008) contains 13–19 wt.%. The work suggests that active obsidian domes crystallise substantial quantities of cristobalite on time-scales of days to months, probably through vapour-phase crystallisation on the walls of degassing pathways, rather than through spherulitic growth in glassy obsidian. The ash is fine-grained (9.7–17.7 vol.% <4 μm in diameter, the respirable range) and the particles are mostly angular. Sparse, fibre-like particles were confirmed to be feldspar or glass.     

膨胀土胀缩变形规律与灾害机制研究

采用普通固结仪和收缩仪分别进行蒙自重塑膨胀土浸水膨胀变形试验和膨胀土失水收缩变形试验,系统地研究了不同初始状态下膨胀土胀缩变形规律与致灾机制,并应用Does Response模型,定量模拟了膨胀土胀缩时程规律。研究表明,蒙自膨胀土胀缩变形差异较大,一般吸水膨胀率远大于失水收缩率,相似状态下试样膨胀系数越大,收缩系数亦越大,表现出较强的各向异性;膨胀土含有的大量细小黏土颗粒与较强的蒙脱石晶体矿物及显著的微结构特征,是其产生强烈胀缩变形灾害的内因与本质,而土中发育的微孔隙-裂隙结构及其初始状态,是发生胀缩变形灾害的外因。     

A statistically significant signature of multi-decadal solar activity changes in atmospheric temperatures at three European stations

We study the effect of solar variability on temperatures recorded in three European stations with the longest gapless series available (Prague, Bologna and Uccle). Following a pattern recognition approach, we partition daily temperature “indices” (minimum, maximum and range) in two separate classes with respect to the level of solar activity (high H vs low L 11 year cycles). Using the two-sample Kolmogorov–Smirnov statistics, multiple shuffles of data, and other partitions, we demonstrate that the separation between the probability distribution functions of H and L temperatures is statistically significant and robust. We find that average annual variations for the H and L classes display common and site-specific patterns. For practically all series considered, differences between graphs of annual change for the two classes H and L are large (～1 °C). Solar activity accounts, at least in part, for the multi-decadal variations in temperature observed at these European sites in the past two centuries.