苏门答腊岛(印尼)成矿带的岩浆作用和源区及其对比

本文介绍了苏门答腊岛上两个成矿带(即铜-金矿成矿带和锡矿成矿带)的矿产分布,岩浆岩的岩石类型和地球化学特征。根据本研究课题在巴东地区岩石化学资料,本文总结了铜-金矿成矿带含矿母岩的地球化学特征,探讨其岩浆岩成因和源区。同时,将其锡矿成矿带岩浆岩的岩石类型和地球化学-大地构造环境与其相邻地体进行对比。研究结果表明:西苏门答腊地体的铜-金矿成矿带的含矿母岩为SI-型埃达克质花岗岩,形成于活动大陆边缘(ACM)火山弧构造环境,其岩浆物质主要来源于俯冲洋壳板片局部熔融叠加上弱的地幔楔熔融-混染作用(MASH)。而东苏门答腊地体‘锡岛’和"暹缅马苏"地体的锡矿带含矿母岩为过铝质(S-型)花岗岩类,其形成构造环境为碰撞带的弧后盆地和陆内裂谷,物质源区来自地壳重熔和岩浆分异。地球化学资料表明,该两地体具有共同的深部岩浆源区。     

利用GRACE卫星数据提取苏门答腊地震同震和震后重力变化

基于GRACE重力卫星数据,采用P3M6去相关滤波技术、350 km半径的高斯平滑技术与差分方法,提取2004年苏门答腊Mw9.3地震的同震和震后重力场时空演化过程。该地震断层下盘同震重力变化达到4.6 μGal,上盘同震重力变化最大值为-8.3 μGal,该结果与球体位错理论计算结果在量级和分布形态上具有较好的一致性。震后7 a断层下盘重力变化累计达到5.6 μGal,超过同震变化信号|而断层上盘震后重力变化只有0.6 μGal,仅为同震变化信号的11%。该现象表明,断层下盘所在海洋地层的粘滞性较低,地层相对柔软,其地层在震后由于较大的粘滞性松弛效应而持续变形,并伴随较大的重力变化|而断层上盘所在的地层接近陆地地壳特性,地层相对脆硬,震后受地层的粘滞性响应而导致的重力变化相对较小。     

Mechanism of the June 4, 2000 Southern Sumatra, Indonesia, earthquake

Introduction The June 4, 2000 southern Sumatra, Indonesia, earthquake (16h28min26.2s UTC, 4.72, 102.09, 33 km, MS=8.0 [IRIS]) occurred under the Indian Ocean, near the Mentawai fault, along the well-known Sumatran subduction zone and the great Sumatran fault, all of which trend northwest-southeast. 1 800 houses were totally destroyed, 10 196 were heavily damaged, and 18 378 were slightly damaged by the earthquake. At least 97 people were killed, 1 900 were injured, and 122 000 were left…     

云南丽江井水位与水温对印尼8．5级地震和汶川8．0级地震的同震响应特征分析

本文分析了云南丽江井在印尼8．5级、汶川8．0级地震时观测到的水位、水温同震变化特征,结果表明丽江井水位在2次地震中水震波都表现为振荡型。而温度则是印尼地震时上升,汶JIf地震时下降。研究表明：丽江井水温的不同表现形式与该井所处的地质构造及地震发生的季节相关。     

利用宜昌台重力观测资料检测地球自由振荡

用宜昌台DZW微伽重力仪的数字化观测资料,利用功率谱密度估计方法,在没有对资料进行去重力潮汐和气压改正的情况下,准确获得了2004年12月26日发生的苏门答腊大地震激发的0S3~0S37基频球型自由振荡,并与PREM模型的理论自由振荡周期进行了对比,发现实测振荡周期与PREM预测的振荡周期相吻合,除0S3、0S4、0S50、S60、S10振型的观测周期和PREM模型理论周期的相对误差大于0.2%外,其他振型的观测周期和PREM模型理论周期的相对误差大都集中在0.1%左右。     

福建数字地下流体网对远处大震映震能力分析

本文收集、整理了2004年12月26日印尼苏门答腊西北近海8.7级地震及2005年印尼8.5级和巴基斯坦7.8级地震时福建省地下流体数字化监测台网观测到的震时和震后效应。结果表明以永安—晋江断裂为界线,北边多数观测井表现为水位上升,南边多数观测井为下降。初步分析认为,这种现象可能与现代构造应力场有关。     

由苏门答腊Mw9.0级大震预测中国台湾南端2006年7.2级大震

历史上苏门答腊大震与台湾大震有呼应性,故2004年苏门答腊发生巨震后,我们在2005年曾预测台湾南端及附近海域可能会发生7级地震,结果2006年12月26日在台湾南端恒春附近海域发生了7.2级地震.本文是预测性回顾.     

The 2004 Sumatra earthquake and Indian Ocean tsunami: What happened and why?

The December 26, 2004 Sumatra earthquake and the tsunami that followed killed over 300,000 people. In this paper, we analyze and discuss the geologic causes for this earthquake, the mechanisms that generated it, and follow up with a discussion on ways to prevent this type of disaster in the future.     

Development of the first coal seam gas exploration program in Indonesia: Reservoir properties of the Muaraenim Formation, south Sumatra

The Late Miocene Muaraenim Formation in southern Sumatra contains thick coal sequences, mostly of low rank ranging from lignite to sub-bituminous, and it is believed that these thick low rank coals are the most prospective for the production of coal seam gas (CSG), otherwise known as coalbed methane (CBM), in Indonesia.As part of a major CSG exploration project, gas exploration drilling operations are being undertaken in Rambutan Gasfields in the Muaraenim Formation to characterize the CSG potential of the coals. The first stage of the project, which is described here, was designed to examine the gas reservoir properties with a focus on coal gas storage capacity and compositional properties. Some five CSG exploration boreholes were drilled in the Rambutan Gasfield, south of Palembang. The exploration boreholes were drilled to depths of ~ 1000 m into the Muaraenim Formation. Five major coal seams were intersected by these holes between the depths of 450 and 1000 m. The petrography of coal samples collected from these seams showed that they are vitrinite rich, with vitrinite contents of more than 75% (on a mineral and moisture free basis). Gas contents of up to 5.8 m³/t were measured for the coal samples. The gas desorbed from coal samples contain mainly methane (CH₄) ranging from 80 to 93% and carbon dioxide (CO₂) ranging from 6 to 19%. The composition of the gas released into the production borehole/well is, however, much richer in CH₄ with about 94 to 98% CH₄ and less than 5% CO₂.The initial results of drilling and reservoir characterization studies indicate suitable gas recovery parameters for three of the five coal seams with a total thickness of more than 30 m.     

The tropical forest in south east Asia: Monitoring and scenario modeling using synthetic aperture radar data

Tropical forests play a major role in storing large carbon stocks and regulating energy, and water fluxes, but such forest cover is decreasing rapidly in spite of the policy attention on reducing deforestation. High-resolution spatiotemporal maps are unavailable for the forests in majority of the tropical regions in Asia because of the persistent cloud cover and haze cover. Recent advances in radar remote sensing have provided weather-independent data of earth surface, thus offering an opportunity to monitor tropical forest change processes with relatively high spatiotemporal resolutions. In this research, we aim to examine the tropical deforestation process and develop a spatial model to simulate future forest patterns under various scenarios. Riau Province from central Sumatra of Indonesia is selected as the study area; this province has received much attention worldwide because the highest CO₂ emission resulting from tropical deforestation has been recorded. Annual time series PALSAR data from 2007 to 2010 were analyzed for forest mapping and detecting land cover changes. A spatial model was calibrated using the Bayesian method. Modeling parameters were customized for the local subregions that allocate deforestation on the basis of their empirical relationships to physical and socioeconomic drivers. The model generated landscape spatial patterns mirrored the possible locations and extent of deforested areas by 2030 and provided time-series crucial information on forest landscape under various scenarios for future landscape management projects. The results suggested that the current deforestation process is in a critical stage where some subregions may face unprecedented stress on primary forest costing rivers and forest ecosystems by the end of 2020. The perspective views of Riau Province generated by the model highlighted the need for forest/environmental planning controls for the conservation of environmentally sensitive areas.