Application of genetic BP network to discriminating earthquakes and explosions

Introduction Artificial Neural Network (ANN) is an important branch of artificial intelligence. It is proposed on the foundation of the study on modern neural science, is a man-made network that can implement some functions based on the mans comprehensive understanding for cerebral neural network (HAN, WANG, 1997). ANN is a mathematical model of simplified human brain neural network and is used to simulate the structures and functions of human brain neural network. ANN is a complex netw…     

Genesis of chlorine and sulphur in fumarolic emissions at Vulcano Island (Italy): assessment of pH and redox conditions in the hydrothermal system

Chlorine- and sulphur-bearing compounds in fumarole discharges of the La Fossa crater at Vulcano Island (Italy) can be modelled by a mixing process between magmatic gases and vapour from a boiling hydrothermal system. This allows estimating the compounds in both endmembers. Magma degassing cannot explain the time variation of sulphur and HCl concentrations in the deep endmember, which are more probably linked to reactions of solid phases at depth, before mixing with the hydrothermal vapours. Based on the P–T conditions and speciation of the boiling hydrothermal system below La Fossa, the HCl and S_tot contents in the hydrothermal vapours were used to compute the redox conditions and pH of the aqueous solution. The results suggest that the haematite–magnetite buffer controls the hydrothermal fO₂ values, while the pH has increased since the end of the 1970s. The main processes affecting pH values may be linked to Na–Ca exchanges between evolved seawater, feeding the boiling hydrothermal system, and local rocks. While Na is removed from water, calcium enters the solution, undergoes hydrolysis and produces HCl, lowering the pH of the water. The increasing water–rock ratio within the hydrothermal system lowers the Ca availability, so the aqueous solution becomes less acidic. Seawater flowing towards the boiling hydrothermal brine dissolves a large quantity of pyrite along its path. In the boiling hydrothermal system, dissolved sulphur precipitates as pyrite and anhydrite, and becomes partitioned in vapour phase as H₂S and SO₂. These results are in agreement with the paragenesis of hydrothermal alteration minerals recovered in drilled wells at Vulcano and are also in agreement with the isotopic composition of sulphur emitted by the crater fumaroles.     

Simulation of individual particle movement in a gravel streambed

A two‐dimensional simulation model of travel distances of individual particles in a gravel‐bed river is presented. The model is based on a number of rules, which include particle size, entrainment, trajectory, distance of movement and entrapment. Particle interactions are controlled by resistance fields defined about each obstacle and critical elevation defined in the model. Resistance fields, particle dropping and critical elevation rules control particle interactions. The interaction rules cause the particles to develop pebble clusters, stone cells and transverse structures (transverse ribs). The simulated travel distances of individual particles are consistent with reported field results. Individual particle travel distances were simulated using two different models; one without interactions between the individual particles and the stationary bed and one with interactions. The case without interactions demonstrates the random nature of sediment transport, and narrow ranges of travel distances. Wider ranges of travel distances, similar to those for natural situations, were obtained for the cases with interactions. The more intense the interaction between the mobile stones and the stationary ones, the wider the range of distances of travel for a given particle size. Modelling the mean travel distance yielded a result similar to that published previously, which was based on empirical data. Well developed bed‐surface structures were obtained for relatively poorly sorted sediment with intense interactions between particles. Transverse structures developed when relatively large particles were allowed to move. Copyright © 2002 John Wiley & Sons, Ltd.     

粤西罗定盆地南缘金矿流体包裹体特征及成因意义

罗定盆地南缘的金矿脉石英和方解石中发育液相、气相和气液两相3种类型包裹体,以液相包裹体和气液包裹体为主。气液包裹体的气液比为5%～25%。包裹体盐度w(NaCl)为0.9%～10.6%,多数>5%,属于咸水-卤水。包裹体的均一温度显示,金矿有两个成矿阶段:第一阶段形成温度为172℃,第二阶段形成温度为122℃。氢氧同位素组成、流体包裹体成分显示成矿热液来源于大气降水。金矿形成于低温、浅成-超浅成环境,成矿热液可能经历了减压沸腾过程。金矿的成因类型属于浅成-超浅成低温热液型。     

四川银矿床的成因类型及找矿方向

四川已发现银矿床35个，主要与铅、锌、铜共生或者为其伴生组份。笔者将四川银矿床初步划分为5个类型和9个亚类型。成矿时代以晚白垩世和晚三叠世为主。四川银矿的找矿方向主要是三江地区的德格—乡城深大断裂带和扬子地台西缘的攀西裂谷带。     

内蒙古胜利煤田共生锗矿的成因地球化学初探

用统计和作图的分析方法,对内蒙古胜利煤田中共生锗矿床的锗品位与挥发分、灰分、硫分的关系进行了研究。结果表明煤中锗品位与挥发分呈正相关、与原煤灰分负相关、与洗煤灰分正相关关系;全区煤属中硫煤,锗品位与原煤和洗煤硫分均呈正相关关系,煤的灰分指数较低(3 579);锗分布不均匀,富锗煤矿明显属于断裂坳陷边缘沉积,锗品位可以在煤层的顶部、中部、底部同时或单个部位呈现高值,大多数煤层中部出现锗高品位值,这有别于以往所报道的锗品位只在煤层顶、底部相对富集的研究结论。认为胜利煤田锗主要与有机质结合;锗的有利聚集条件是水动力较弱、地下水位较低、强还原的停滞沼泽环境;泥炭聚集阶段有机质的吸附作用是锗的主要富集机制。     

改进的最小二乘法在水文分析计算中的应用

在水分析计算中，经常涉及到变量之间的线性或非线性拟合，而在拟合各种特性曲线时，通常应用以实测资料与拟合曲线间的误差平方和最小作为目标函数的方法——最小二乘法，但这种方法忽视了所有实测点应与拟合曲线间的相对误差尽量不超过某一百分比的原则，为了达到上述要求，提出了非线性的加权最小二乘法及线性相关方程的最小距离平方和法，探讨改进了传统的最小二乘法达到优化的效果。最小距离平方和法与常用的图解法相比，本法所得成果较为客观；与传统的单方向(x或y方向)最小二乘回归法相比，所求线性方程不会因坐标系的选取而改变。最后应用算例进行了初步讨论。     

交互式多目标决策新方法及其在水资源系统规划中的应用

在目标满意度和目标总体协调度的基础上构造了一种新的交互式多目标决策方法,运用欧式距离判断来描述目标总体协调度,避免了目标权重人为确定的任意性,且能充分体现决策者的主观愿望,便于实际操作应用.水资源系统规划的多目标决策实例分析表明该方法有效可行.     

鄂尔多斯盆地苏里格庙与靖边天然气单体碳同位素特征及其成因

苏里格庙上古生界砂岩气藏天然气重烃含量高,干燥系数低,为湿气;靖边奥陶系风化壳气藏天然气重烃含量低,干燥系数高,属干气。苏里格庙天然气的正构烷烃碳同位素具有δ13 C₁<δ13 C₃ <δ13 C₂ <δ13 C4的规律,靖边天然气具有δ13 C₁<δ13 C₂ <δ13 C₃ 的规律。二者高碳数烷烃的同位素差别较大,尤其是苏里格庙的乙烷碳同位素比靖边平均重 3.6‰。根据天然气单体碳同位素及其含量变化,苏里格庙天然气属煤成气,靖边天然气属煤成气与油型气的混合气。苏里格庙和靖边天然气中均含少量CO₂ 气,其碳同位素表明苏里格庙除苏 5井为无机CO₂ 气外,均为有机CO₂ 气;靖边林 1、林 5井为无机CO₂ 气,陕参 1井为有机CO₂ 气。结合烷烃气和CO₂ 气,苏里格庙天然气可以分为含有机CO₂ 煤成气和含无机CO₂ 煤成气。碳同位素比值与Ro 关系分析认为,苏里格庙的天然气成熟度处于成熟到高成熟阶段,其相应气源岩的平均Ro 为 1.2 9%～ 1.39%,这一结果与该区二叠系煤岩的成熟度符合较好。     

The inversion of anelastic coefficient,source parameters and site respond using genetic algorithm

It gradually becomes a common work using large seismic wave data to obtain source parameters, such as seismic moment, break radius, stress drop, with completingof digital seismic network in China (Hough, et al, 1999; Bindi, et al, 2001). These parameters are useful on earthquake prediction and seismic hazard analysis.Although the computation methods of source parameters are simple in principle and the many research works have been done, it is not easy to obtain the parameters accurately. There are two factors affecting the stability of computation results. The first one is the effect of spread path and site respond on signal. According to the research results, there are different geometrical spreading coefficients on different epicenter distance. The better method is to introduce trilinear geometrical spreading model (Atkinson, Mereu, 1992; Atkinson, Boore, 1995; WONG, et al, 2002). In addition, traditional site respond is estimated by comparing with rock station, such as linear inversion method (Andrews, 1982), but the comparative estimation will introduce some errors when selecting different stations. Some recent research results show that site respond is not flat for rock station (Moya, et al, 2000; ZHANG,. et al, 2001; JIN, et al, 2000; Dutta, et al, 2001). The second factor is to obtain low-frequency level and corner frequency fromdisplacement spectrum. Because the source spectrum model is nonlinear function,these values are obtained by eye. The subjectivity is strong. The small change of corner frequency will affect significantly the result of stress drop.