长江三峡坝区断裂构造的形成和演变的最新研究

基底岩体内存在4组断裂构造。这些断裂、裂隙并非岩体的原生构造，而属于构造成因。根据断裂内岩脉侵入、岩石蚀变作用、结构面特征和构造岩类型的分析研究，认为断裂具有多期活动性的特点。对比基底岩体和沉积盖层的构造，确认岩体中的断裂构造在晚元古代晋宁期就已基本形成，以后在燕山期黄陵背斜出现时，喜马拉雅期断块构造产生时，断裂多次重新活动，演变为新的断裂系统。     

Variations of Hydrodynamics and Submarine Groundwater Discharge in the Yellow River Estuary Under the Influence of the Water-Sediment Regulation Scheme

The “Water-Sediment Regulation Scheme” (WSRS) is critically important to the hydrologic evaluation of the Yellow River estuary since a huge pulse of water and sediment are delivered into the sea during a short period. We used the natural geochemical tracers radium (²²³Ra, ²²⁴Ra, ²²⁶Ra) and radon (²²²Rn) isotopes as well as other hydrological parameters to investigate the mixing variations and submarine groundwater discharge (SGD) in the Yellow River estuary under the influence of the 2013 WSRS. Dramatically elevated radium and radon isotopic activities were observed during this WSRS compared with activities measured during a non-WSRS period. Radium “water ages” indicated that the offshore transport rate nearly tripled when the river discharge increased from 400 to 3400 m³/s. We calculated the SGD flux in the Yellow River estuary based on a radium mass balance model as well as radium and radon time-series models. The SGD flux was estimated at 0.02~0.20 m/day during a non-WSRS period and 0.67~1.22 m/day during the 2013 WSRS period. The results also indicate that large river discharge tends to lead more intense SGD along the river channel direction with a large amount of fresh SGD.     

3D-Modflow在模拟库岸滑坡工程地下水分布中的应用初探

应用3D-Modflow软件模拟库岸滑坡工程中的地下水分布,介绍了Modflow求解的一般过程,模拟了库岸滑坡工程中的局部注水和库水位变化时地下水分布,并探讨了其与稳定性分析的相结合可行性。     

支持向量回归机在滑坡安全可靠度评价中的应用研究

探讨支持向量机的参数优化方法,将学习能力较强的支持向量机引入滑坡可靠度评价当中,并根据数理统计的理论,对滑坡稳定性敏感性因素作数据处理,并证明其合理性,在此基础上提出一种改进的可靠度指标的计算方法。为便于对比,分别选取49个学习样本和121个学习样本两种计算模型,计算实例表明,这两种计算模型与蒙特卡洛模型计算结果非常接近,充分体现了在小样本的情形下支持向量机的优势,说明将其应用于滑坡安全可靠度评价中是可行的。     

Speleothems from Mawsmai and Krem Phyllut caves,Meghalaya, India: some evidences on biogenic activities

The Mawsmai cave and Krem Phyllut caves, East Khasi hills, Meghalaya, India has so far not yet attracted the attention of geomicrobiologists. Observations and hypotheses on the possible influence of identified microorganisms for speleothem formations in Meghalaya are reported for the first time. XRD studies identified calcite in speleothems and gypsum in cave wall deposits as the dominant minerals. SEM-EDAX showed interesting microfabric features showing strong resemblance with fossilised bacteria, calcified filaments, needle calcite and numerous nano scale calcite crystals, highly weathered and disintegrated crystals of calcite, that point towards a significant microbial influence in its genesis. Thin section petrography showed laminated stromatolitic features. The microorganisms identified by conventional isolation and further evaluation of isolates by molecular techniques include Bacillus cereus, Bacillus mycoides, Bacillus licheniformis, Micrococcus luteus, and Actinomycetes. Microscopic observations also showed unidentifiable cocci and four unidentifiable strains of CaSO₄ (gypsum) precipitating bacteria. Experimental studies confirmed that these bacteria are able to precipitate calcium minerals (calcite, gypsum, minor amounts of dolomite) in the laboratory. These results allow us to postulate that species like these may contribute to active biogenic influence in the cave formations at Meghalaya.     

Magnetic properties of airborne particulate matter in Shanghai during dust storm events and the implications for heavy metal contaminant sources

Airborne particulate samples (including dust storm period samples) were collected from the Putuo, Qingpu and Minhang districts of Shanghai city from October, 2009 to October, 2010, and also tracked the dust transporting pathways from NW (Northwest) to SE (Southeast) including the cities of Xi’an, Beijing, Zhengzhou and Nantong, as a means of sampling the dust storm particulate matter in the spring of 2010. After measuring the magnetic parameters and the concentrations of particles and heavy metals, their magnetic properties were analyzed to track the source locations of heavy metal pollution during dust storm events, and then combined for backward trajectory analysis. It was found that the slightly polluted dust particles carried many contaminants during dust storm periods when the dust palls were transported by winter monsoon winds from the NW desert region towards the SE. The contaminants were further increased by contributions of fine SP&SD grains derived from local automobile exhausts in Shanghai as well as being enriched also in Northern cities during non-dust storm periods. A significantly positive linear relation was found between the χ_lf and SIRM of loess and the storm dust, indicating a similar material source for these two kinds of samples. A higher χ_lf and SIRM in storm dust content compared to loess suggests that storm dust contains not only materials from natural sources, but also those from partly anthropogenic sources. Backward trajectory analysis indicates intuitively the source region of the Shanghai storm dust. These conclusions have important scientific significance for research on long-distance transportation of contaminants (such as heavy metals) adsorbed onto airborne particulate matter during dust storm events.     

A location-aware GIServices quality prediction model via collaborative filtering

The quality of GIServices (QoGIS) is an important consideration for services sharing and interoperation. However, QoGIS is a complex concept and difficult to be evaluated reasonably. Most of the current studies have focused on static and non-scalable evaluation methods but have ignored location sensitivity subsequently resulting in the inaccurate QoGIS values. For intensive geodata and computation, GIServices are more sensitive to the location factor than general services. This paper proposes a location-aware GIServices quality prediction model via collaborative filtering (LAGCF). The model uses a mixed CF method based on time zone feature from the perspectives of both user and GIServices. Time zone is taken as the location factor and mapped into the prediction process. A time zone-adjusted Pearson correlation coefficient algorithm was designed to measure the similarity between the GIServices and the target, helping to identify highly similar GIServices. By adopting a coefficient of confidence in the final generation phase, the value of the QoGIS most similar to the target services will play a dominant role in the comprehensive result. Two series of experiments on large-scale QoGIS data were implemented to verify the effectivity of LAGCF. The results showed that LAGCF can improve the accuracy of QoGIS prediction significantly.     

Experimental study of surface texture and resonance mechanism of booming sand

The sound-producing mechanism of booming sand has long been a pending problem in the blown sand physics. Based on the earlier researches, the authors collected some silent sand samples from Teng- ger Desert, Australian Desert, Kuwait Desert, beaches of Hainan Island and Japanese coast as well as the soundless booming sand samples from the Mingsha Mountain in Dunhuang to make washing ex- periments. In the meantime the chemical corrosion experiment of glass micro-spheres, surface coating experiment and SEM examination were also conducted. The experimental results show that the sound production of booming sand seems to have nothing to do with the presence of SiO2 gel on the surface of sand grains and unrelated to the surface chemical composition of sand grains but is related to the resonance cavities formed by porous (pit-like) physical structure resulting from a number of factors such as wind erosion, water erosion, chemical corrosion and SiO2 gel deposition, etc. Its resonance mechanism is similar to that of Hemholz resonance cavity. Under the action of external forces, nu- merous spherical and sand grains with smooth surface and porous surface are set in motion and rub with each other to produce extremely weak vibration sound and then become audible sound by human ears through the magnification of surface cavity resonance. However the booming sands may lose their resonance mechanism and become silent sand due to the damping action caused by the invasion of finer particles such as dust and clay into surface holes of sand grains. Therefore, clearing away fine pollutants on the quartz grain surface is an effective way to make silent sand emit audible sound.     

Field survey of the 1994 Mindoro Island,Philippines tsunami

This is a report of the field survey of the November 15, 1994 Mindoro Island, Philippines, tsunami generated by an earthquake (M=7.0) with a strike-slip motion. We will report runup heights from 54 locations on Luzon, Mindoro and other smaller islands in the Cape Verde passage between Mindoro and Luzon. Most of the damage was concentrated along the northern coast of Mindoro. Runup height distribution ranged 3–4 m at the most severely damaged areas and 2–4 in neighboring areas. The tsunami-affected area was limited to within 10 km of the epicenter. The largest recorded runup value of 7.3 m was measured on the southwestern coast of Baco Island while a runup of 6.1 m was detected on its northern coastline. The earthquake and tsunami killed 62 people, injured 248 and destroyed 800 houses. As observed in other recent tsunami disasters, most of the casualties were children. Nearly all eyewitnesses interviewed described the first wave as a leading-depression wave. Eyewitnesses reported that the main direction of tsunami propagation was SW in Subaang Bay, SE in Wawa and Calapan, NE on Baco Island and N on Verde Island, suggesting that the tsunami source area was in the southern Pass of Verde Island and that the wave propagated rapidly in all directions. The fault plane extended offshore to the N of Mindoro Island, with its rupture originating S of Verde Island and propagating almost directly south to the inland of Mindoro, thereby accounting for the relatively limited damage area observed on the N of Mindoro.