MATLAB在开采沉陷动态预计中的应用

地下矿产被采出后引起的地表沉陷是一个时间和空间的非线性变化过程。文中以Knothe时间函数建立的地表移动动态预计算法为基础,并运用MATLAB中的图形用户界面(GUI),通过窗口、菜单、控件等构成操作简便的用户界面,实现主断面和任意点的动态预计的可视化。     

GPS用于天津市地面沉降监测的研究

介绍了GPS用于天津市地面沉降监测的方案,通过GPS监测数据与水准测量结果对比分析,说明了两者地面沉降趋势的一致性,GPS用于地面沉降监测可以逐步取代传统水准观测。     

Excel规划求解在桥墩沉降趋势分析中的应用

介绍Excel规划求解得出模型参数的方法,以武咸城际铁路桥墩沉降为例,采用双曲线和对数曲线模型,利用Excel自带的宏-规划求解来解算出两种模型的参数,从而对桥墩的沉降趋势进行分析和对最终沉降量进行预测,比较两种拟合曲线的拟合结果,选取适合桥墩沉降拟合的曲线并对拟合的残差进行二次曲线拟合,用残差二次拟合得到的最终残差值对最终沉降量进行修正,进一步提高了预测值的精度。用该方法得到了较好的效果,为铁路的铺轨以及运营提供了技术性保障。     

基于PSInSAR技术的地面沉降监测研究——以北京怀柔区为例

怀柔应急水源地是北京第一个建成的特大型应急备用水源地,经过数年的开采后,应急水源地水位大幅度下降,地下水漏斗面积不断扩大。PSInSAR技术在监测地面沉降方面具有很大的优势,本文利用PSInSAR技术和2003年—2009年间28幅Enviast卫星的ASAR影像监测怀柔应急水源地地区地面沉降情况,试验结果表明该地区平均沉降量为8mm/a。通过该地区地面沉降状况和地下水漏斗发展趋势之间的对比,发现地面沉降范围和地下水漏斗有较大的空间一致性,平面分布趋势整体上由南西—北东向北西—南东转变。     

黄渤海一次持续性大雾过程特征和成因分析

利用日本MTSAT1R卫星数据、常规地面和高空观测数据、NCEP FNL客观再分析资料和NEARGOOS（NorthEast Asian Regional Global Ocean Observing System）的海表温度（SST）数据,分析了2010年5月31日至6月5日发生在黄渤海及周边地区的一次持续性海雾天气的形成、维持、消散特征及其物理机制。结果表明：大雾形成前低层水汽非常充沛,入海变性冷高压的稳定维持为这次持续性海雾过程提供了有利的背景条件,海雾在夜间辐射冷却作用下形成;大雾期间黄渤海     

基于相位空间相关性分析的PSInSAR技术在地面沉降监测中的研究与实践

PSInSAR技术克服了图像失相干和大气影响等限制因素,扩展了DInSAR在提取大面积微小形变上的应用,但基于亮度离散度和先验形变模型的PSInSAR有一定的局限性。基于相位空间相关性分析的PSInSAR技术通过分析相位各个组分的空间相关性,完成PS的选择和形变信息提取,可以在没有亮散射体的情况下选取PS点和提取各种地表形变信息,且不受先验的形变时间模型限制,可应用于各种形变研究。该文以天津地区地面沉降监测实践为例,描述了该方法的关键技术和工作流程,利用14幅ENVISAT SAR数据,得到了较好的监测结果。     

Sedimentary processes caused by felsic caldera-forming volcanism in the Late Miocene to Early Pliocene intra-arc Aizu basin, NE Japan arc

Six large Late Miocene to Quaternary calderas, > 10 km in diameter, cluster together with several medium to small calderas and stratovolcanoes in a 60 × 30 km area of the Aizu volcanic field, southern NE Japan arc. These caldera volcanoes were built on a WNW–ESE trending highland coincident with a local uplifted swell since Late Miocene. The flare-up of felsic volcanism occurred synchronously along the NE Japan arc. Pyroclastic flow sheets from the calderas spread over the surrounding intra-arc basins and are interstratified with various sediments. Geochronological data indicates that the large-caldera eruptions have occurred six times since 8 Ma, at intervals of 1 to 2 million years. Late Miocene to Early Pliocene extra-caldera successions in the basin consist of nine sedimentary facies associations: (1) primary pyroclastics, (2) lahars, (3) gravelly fluvial channels, (4) sandy fluvial channels, (5) floodplains, (6) tidal flats, (7) delta fronts, (8) pro-delta slopes, and (9) pro-delta turbidites. The distribution of facies associations show westward prograding of volcaniclastic aprons, made up of braid delta, braidplain, pyroclastic flow sheet, and incised braided river deposits. The extra-caldera successions record: 1) an increase in felsic volcanism with an associated high rate of volcaniclastic sediment supply at about 10 Ma, prior to catastrophic caldera-forming eruptions; and 2) progradation of volcaniclastic aprons toward the back-arc side in response to the succeeding caldera-forming eruptions and sea-level changes, until about 3 Ma.     

Sedimentology and allostratigraphy of post-240 ka to pre-26.5 ka lacustrine terraces at intracaldera Lake Rotorua, Taupo Volcanic Zone, New Zealand

Lake Rotorua partially occupies a nearly circular 20 km diameter volcano-tectonic depression formed at c. 240 ka by eruption of the voluminous Mamaku Ignimbrite. Three distinct lacustrine littoral terraces, defined on the basis of contrasting geomorphology and field relations, and separated by tephrostratigraphically dateable unconformities and basin-floor disconformities, fringe much of the lake basin. They are here correlated with former high-stands of the lake which resulted from the blockage and re-establishment of a number of alternative outlets due to tectonic activity and volcanism at both the host and adjacent volcanic centres. The unconformities allow division of the deposits into three allostratigraphic units, each of which is then characterised by elevation and sediment provenance. The < 240 ka, post-Mamaku alloformation comprises the highest terrace (up to 415 mASL), and represents the high-stand of an intracaldera lake accumulated in the newly created basin after the eruption of the Mamaku Ignimbrite. Considerable uncertainty surrounds the initial direction of overflow from this level, but the lake may have drained southwards for a period through the Hemo Gorge, through the Ngakuru Graben/Kapenga Caldera area and into the Waikato River catchment. The second alloformation, consisting of volcaniclastic sediments forming shoreline and littoral terraces at c. 380 m elevation developed after the eruption of the 60 ka Rotoiti/Earthquake Flat pyroclastic flows from the neighbouring Okataina Volcanic Centre blocked northern and southern routes out of the lake basin. A northeasterly outlet subsequently became established at a lower level through tectonic subsidence of the Tikitere Graben, creating a drainage path into the Haroharo caldera from where it flowed into the Bay of Plenty via the Kawerau Canyon. The post-36 ka Hauparu alloformation forms the third shoreline terrace at elevations up to 349 mASL. It is the product of a temporary high-stand from blockage of the Tikitere Graben drainage path by pyroclastic debris from the voluminous 36 ka Hauparu eruption. Subsequently, episodic growth of the Haroharo resurgent dome complex between 25 and 9 ka in the adjacent Okataina Volcanic Centre forced Lake Rotorua to rise above its post-Hauparu lowstand level to an elevation where it could overtop a drainage divide on the northern rim of Lake Rotoiti and gain access to the catchment of the Kaituna River, hence establishing the current outlet channel.     

常州地区地面沉降及地层压缩性研究

系统分析了常州地区地下水开采动态和地面沉降发生发展历史,概述了研究区地面沉降的框架,在此基础上,系统研究了常州市分层标从1984年至2002年的分层沉降资料。根据常州地区地下水含水层系统及土层特性,将研究区松散土层垂向划分为四个不同层次,分别研究了它们的压缩变形历时特性及其与累计地下水开采量的关系,研究了各自的应变特性。由于土层结构及物理力学性质的不同、地下水开采层次及强度的差异、土层不同应力历史的影响等诸多因素的综合效应,导致了地面沉降及分层压缩特性的显著差别。常州地区的主要压缩层为第II承压含水层的顶板弱透水层,与含水层距离近的土层变形量及应变量均较大,其次是第II承压含水层本身及其与第III承压含水层之间的弱透水层。地面沉降及地层压缩与地下水开采之间的滞后效应在常州地区表现得并不明显,这一点至少在月或年的时间尺度上是正确的。     

Prediction of ground subsidence in Samcheok City,Korea using artificial neural networks and GIS

This study shows the construction of a hazard map for presumptive ground subsidence around abandoned underground coal mines (AUCMs) at Samcheok City in Korea using an artificial neural network, with a geographic information system (GIS). To evaluate the factors governing ground subsidence, an image database was constructed from a topographical map, geological map, mining tunnel map, global positioning system (GPS) data, land use map, digital elevation model (DEM) data, and borehole data. An attribute database was also constructed by employing field investigations and reinforcement working reports for the existing ground subsidence areas at the study site. Seven major factors controlling ground subsidence were determined from the probability analysis of the existing ground subsidence area. Depth of drift from the mining tunnel map, DEM and slope gradient obtained from the topographical map, groundwater level and permeability from borehole data, geology and land use. These factors were employed by with artificial neural networks to analyze ground subsidence hazard. Each factor’s weight was determined by the back-propagation training method. Then the ground subsidence hazard indices were calculated using the trained back-propagation weights, and the ground subsidence hazard map was created by GIS. Ground subsidence locations were used to verify results of the ground subsidence hazard map and the verification results showed 96.06% accuracy. The verification results exhibited sufficient agreement between the presumptive hazard map and the existing data on ground subsidence area. An erratum to this article can be found at