基于遗传算法优化的小波神经网络在地下水位预测中的应用

地下水位是衡量生态环境优劣和地下水资源的一个重要指标.地下水位下降,将引发地面沉降、地面塌陷和降落漏斗等.因此,地下水位预测对保护地质生态环境和实现地下水资源严格管理至关重要.由于BP算法存在极易收敛于局部极小点与过拟合等缺点,导致网络泛化能力不足,本文在构建小波神经网络基础上并引入遗传算法加以优化,以解决上述不足,并与BP和WNN对比预测了天津市深层承压水水位.预测结果表明,GA-WNN模型拟合精度较高,模型的预测能力有较大幅度提高.     

Investigating the igneous petrogenesis of Martian volcanic rocks using augite quantitative textural analysis of the Yamato nakhlites

To better understand volcanism on planetary bodies other than the Earth, the quantification of physical processes is needed. Here, the petrogenesis of the achondrite Martian Yamato (Y) nakhlites (Y 000593, Y 000749, and Y 000802) is reinvestigated via quantitative analysis of augite (high-Ca clinopyroxene) phenocrysts: crystal size distribution (CSD), spatial distribution patterns (SDP), and electron backscatter diffraction (EBSD). Results from CSD and EBSD quantitative data sets show augite to have continuous uninterrupted growth resulting in calculated minimum magma chamber residence times of either 88–117 ± 6 yr or 9–12 yr. All samples exhibit low-intensity S-LS type crystallographic preferred orientation. Directional strain is observed across all samples with intracrystalline misorientation patterns indicative of (100)[001]:(001)[100] (Y 000593 and Y 000802) and {110}<001>or {110}¹/₂<110> (Y 000749) slip systems. SDP results indicate phenocryst-bearing crystal-clustered rock signatures. Combined findings from this work show that the Yamato nakhlites formed on Mars as individual low-viscosity lava flows or sills. This study shows that through combining these different quantitative techniques over multiple samples, one can more effectively compare and interpret resulting data to gain a more robust, geologically contextualized petrogenetic understanding of the rock suite being studied. The techniques used in this study should be equally applicable to igneous achondrites from other parent bodies.     

基于RTK-GPS技术的干热河谷冲沟沟头形态特征

采用高精度实时动态差分GPS(以下简称RTK-GPS)技术对干热河谷冲沟进行野外调查,获取36个不同活跃度类型沟头的形态参数,研究不同活跃度类型之间沟头的形态特征差异,并分析集水区、沟床植被盖度与形态特征之间的关系。结果表明:1.沟头不同活跃度类型之间,其跌坎高差、沟床比降差异最为显著,可作为沟头活跃度类型野外判别的主要参考指标;沟壁坡度、宽-深比等的差异较为显著,亦可在一定程度上表征沟头活跃程度。2.沟床植被盖度与各形态特征参数的相关性显著,表明沟床植被盖度可作为形态参数的综合替代性指标。同一活跃度类型的沟头,其跌坎高差、沟床比降等与沟床植被盖度呈极显著负相关关系,说明随着沟床植被盖度的增加(或减小),跌坎高差、沟床比降均呈减小(或增加)趋势。3.集水区植被盖度与各形态特征参数的关系不显著,表明干热河谷集水区植被盖度对沟头发育的贡献有限。     

利用温度链对南海内波振幅的观测

内波的实测资料一般为走航或者浮标布站观测得到的一个关于时间和空间的大面资料,将此资料进行滤波后,进行简单的数值处理,即可得到内波的振幅。但是这种资料较少,布控站位难度较大,成本也较高,是一种不易获取的资料。本文利用的温度链资料是一种获取简单,成本也较低的实测资料。利用温度链资料基于内波带动水质点上下波动的物理过程,进行内波振幅的计算,将会有较大的适用性。     

Use of tetracycline hydrochloride and alizarin complexone for immersion marking black rockfish Sebastes schlegelii

We tested the utility of chemical marking techniques in the juvenile black rockfish Sebastes schlegelii. Juveniles(30–40 mm total length) were immersed in a range of tetracycline hydrochloride(TC) solutions at concentrations ranging from 300 to 500 mg/L, and alizarin complexone(ALC) solutions at concentrations ranging from 200 to 400 mg/L in filtered sea water(salinity of 30) for 24 h, respectively. Otoliths(sagittae, asteriscus), scales, fin rays(dorsal, pectoral, ventral, anal, and caudal fin rays), and fin spines(dorsal, ventral, and anal fin spines) were sampled and used to detect fl uorescent marks after a 60-day growth experiment. With the exception of 300 mg/L TC, acceptable marks were produced in the otoliths and fin spines by all concentrations of TC and ALC. In particular, we observed clearly visible marks in the sagittae, asteriscus, and fin spines under normal light at concentrations of 200–400 mg/L, 250–400 mg/L, and 250–400 mg/L ALC, respectively. Scales and fin rays had acceptable marks at much higher concentrations(≥350 mg/L TC, ≥250 mg/L ALC for scales and ≥350 mg/L TC, ≥300 mg/L ALC for fin rays). The best mark quality(i.e., acceptable marks were observed in all sampled structures after immersion marking) were obtained following immersion in TC at between 350–500 mg/L, and ALC between 300–400 mg/L. In addition, there was no significant difference in survival and growth of TC and ALC marked fish compared to their controls up to 60 days post-marking( P 0.05).     

Spatial structure of central places in Jilin Central Urban Agglomeration,Jilin Province,China

Using the radius of gyration from fractal theory, this paper describes the calculation of fractal dimensions for the four tiers of central places in the Jilin Central Urban Agglomeration(JCUA), Jilin Province, China and the structural characteristics of each tier: 1) the 1st tier central place, Changchun Proper(not including Shuangyang District), provides the most service functions and has the most stable primate position; 2) the 2nd tier central places, Jilin Proper, Siping Proper, Liaoyuan Proper and Songyuan Proper have unclear statuses and do not provide certain functions; 3) the 3rd tier central places comprise 23 county-level cities, counties and urban districts(including Shuangyang District of Changchun), exhibiting a dense spatial structure that agrees with theory; 4) the 4th tier contains the largest number of central places(248 designated towns), but they are loosely distributed. In this study, a spatial image of the JCUA was created, based on vectorized data of the urban settlement distribution, which was then modified and abstracted to create a hexagonal network covering the JCUA. Compared to the traditional central place model, the modified spatial image conforms to the K = 3 principle. In reality, however, the growth of some 3rd tier central places should be increased with the cities being upgraded to the 2nd tier so as to overcome that tier′s functional deficiency. The loose distribution in the 4th tier should also be changed. This apparent anomaly can be explained by the fact that the classic hexagon model used to describe the way market areas layout does not exist in the real world. However, this should not be viewed as an obstacle to using central place theory. If its assumptions are properly applied, it can still assist research into the spatial structure of regions.     

基于关联规则的故障诊断方法研究

提高自动气象站设备运行能力和观测数据的质量状况成为影响气象预测预报服务的准确性和气象事业发展的关键。然而中国现在业务运行的自动气象站设备并没有内置的故障检测装置,也没有完善的自检系统。但是气象要素(温湿压风雨)的变化往往是相互关联的,为了提高自动气象站数据质量,及时有效地判断设备故障。从大量观测数据试验结果进行研究,提出一种基于关联规则的故障综合诊断方法。通过使用Apriori挖掘算法,得到各气象要素及其变化量之间的强关联规则,通过实际观测数据验证2012年7月26日08时江西南昌站湿度传感器发生故障。     

小石头山金矿地质特征及矿床成因

小石头山金矿位于川北阿坝藏族羌族自治州,该矿处于"若尔盖中间地块"西南部"阿坝复理石地体褶皱带"范围内,矿体产于印支晚期花岗闪长岩体内、外接触带上。矿体主要受张裂型矿化裂隙、张剪性复合型矿化裂隙和破碎带型矿化裂隙控制,是较为典型的构造蚀变岩型金矿。