Early-indicator signals of groundwater contamination: the case of seawater encroachment

 An early indication of groundwater contamination occurs when pollutant concentrations start to fluctuate and exceed background values of ambient fresh groundwater. An analysis of a characteristic situation of this type uses data from Israel's coastal phreatic granular aquifer. The pollutant is generally seawater, and the contamination process involves replacement of freshwater by encroaching sea- or other saltwater, a process augmented by human activity. The contamination process involves three stages: (1) groundwater composition remains relatively stable with small salinity content; (2) small salinity changes are perceptible with reversible fluctuations; and (3) salinity concentration increases at a sharply higher rate. The second stage is a useful early-indicator signal of contamination. Early-indicator signals of groundwater pollutant concentrations involve "minor" fluctuations in water chemistry at the advent of the contamination process. The intensity and magnitude of such a salinization/pollution process at any given location depends upon lithologic matrix, aquifer heterogeneity, and resultant flow domain characteristics, as well as contaminant properties. If such "signs" are detected at a sufficiently early stage, appropriate management steps may be taken to rectify further seawater and/or saltwater encroachment. Received: 23 July 1996 · Accepted: 25 June 1997     

基于GPS反射信号技术的渤海海冰实验

传统的海冰检测手段都存在着受天气影响或实时检测成本太高的缺点,为了更实时有效的检测海冰,减轻海冰灾害对于我国的影响,并达到防灾减灾的目的,本文研究了GPS反射信号(GPS-R)技术检测海冰的可能性。通过对2013年2月下旬在中国天津渤海湾的岸基架设GPS信号接收机所接收的观测数据进行分析,使用不同特性的反射海域(几乎全为海水或是海冰)的数据进行比对分析,其结果显示极化比值(反射左旋信号与直射右旋信号的比值)能够明显反演海冰密集度。本文首次将GPS-R技术应用于国内自主设计的渤海海冰检测实验中。     

Analysis of EMD algorithm for identification and extraction of an acoustic signal in underwater channel against wind driven ambient noise

Sonar generated acoustic signals transmitted in underwater channel for distant communications are affected by numerous factors like ambient noise, making them nonlinear and non-stationary in nature. In recent years, the application of Empirical Mode Decomposition （EMD） technique to analyze nonlinear and non-stationary signals has gained much attention. It is an empirical approach to decompose a signal into a set of oscillatory modes known as intrinsic mode functions （IMFs）. In general, Hilbert transform is used in EMD for the identification of oscillatory signals. In this paper anew EMD algorithm is proposed using FFT to identify and extract the acoustic signals available in the underwater channel that are corrupted due to various ambient noises over a range of 100 Hz to 10 kHz in a shallow water region.Data for analysis are collected at a depth of 5 m and 10 m offshore Chennai at the Bay of Bengal. The algorithm is validated for different sets of known and unknown reference signals. It is observed that the proposed EMD algorithmidentifies and extracts the reference signals against various ambient noises. Significant SNR improvement is alsoachieved for underwater acoustic signals.     

高动态宽带信号码跟踪方法仿真分析

针对高动态场景,单独的码环路很难实现跟踪,由于高动态载波跟踪的算法很成熟,通常应用载波跟踪结果对码环路进行辅助,针对窄体制信号,这种方法可以帮助消除码环的动态误差,但对宽体制信号来说,辅助力度减小。从高动态宽带信号码跟踪误差门限以及跟踪精度入手,分析了单独码跟踪算法的易失锁性,理论和仿真验证应用高动态载波跟踪结果辅助码跟踪算法的有效性,且具有高的跟踪精度。这为导航接收机的跟踪算法提供了理论依据。     

特大采空区上覆岩层地压与地表塌陷灾害监测研究

大红山铁矿采用无底柱分段崩落法开采形成了3个规模巨大的采空区,采空区上覆岩层移动与地表开裂塌陷将导致露天采场发生滚石地压灾害、井下采场产生空气冲击波次生地质灾害、地表与井下发生泥石流地质灾害等。针对上述问题,采取了多通道微震监测、非接触式岩移实时监测、基于手持式GPS仪的地表开裂范围监测和基于全站仪的地表沉降与水平移动监测的多种综合地压监测手段,对上覆岩层崩落高度、上覆岩层下沉变形量、地表开裂范围和地表沉降与水平移动等进行了监测,通过两年的监测获取了大量的监测数据,经分析表明,采空区上覆岩层崩落高度约在+1 090⁺1 060 m,上覆岩层+1 090 m平巷内观测点累计沉降量为1 350 mm,地表开裂范围位于以岩移角为75°划定的地表岩移范围内,地表测点最大累计沉降与水平移动量为1 779与948 mm,上覆岩层与地表的变形移动活动处于稳定渐进可控的状态,目前不会发生上述地压地质灾害。     

Methods and Results of an Optical Search for Extraterrestrial Civilizations

I summarize fully-sampled observations of the 3 mm emission from CO and HCN in the inner arcminute of NGC 1068. The CO emission is distributed in the form of a molecular bar, coincident with the infrared bar, from which emanate two spiral arms. A relatively weak concentration of CO line emission is found at the nucleus. By contrast, the HCN emission is strongly concentrated at the center, with relatively weak emission in the region of the star-forming arms. The ratio of HCN to CO integrated intensities is about 0.6 over the central r ≉ 175 pc and is the highest ratio measured in the center of any galaxy; the ratio reflects the high thermal pressure (TK ~ 50 K, n[H2] ~ 4 × 106 cm-3) in the few hundred parsecs surrounding the nucleus. The kinematics in the star-forming arms are well described by circular orbits, with ordered noncircular motions of < 30 km s-1 that may be attributed to spiral density wave streaming. Interior to the bar, noncircular motions dominate the gas kinematics. A model of the CO kinematics contrains any Inner Lindblad Resonance to be close to the location of the hundred-parsec scale HCN ‘disk’. At the nucleus, the spatially unresolved CO emission shows a triplet velocity structure characteristic of kinematically independent regions. This revised version was published online in July 2006 with corrections to the Cover Date.     

Dynamics of volcanic eruptions: Understanding electric signatures for activity monitoring

Aside common methods as seismology, ground deformation, and geochemistry, electromagnetic and especially electric ones can efficiently be applied for imaging and monitoring active volcanoes and hydrothermal systems that most often control the initial eruptive phase. Surveys and mappings image ground fluids flow, faults systems, and structural interfaces with anomalies up to several hundred of mV. Reiteration of surveys highlights time and spatial evolution. Continuous networks must extend surveys when the activity becomes stronger. Resolution in the data can reach a few microvolts as compared to the tens of millivolts for surveys. Observations made on several volcanoes definitively show that electric signals, up to some tens of millivolts, may appear some hours to a few weeks before ground deformation and seismicity, and are related to some extent to the location of the future activity. These transient signals may have a relationship with those recorded aboard satellites. Both of them appear during the transition period between the “fatigue” and the “dynamical” stages, which announces accelerating and irreversible processes.     

基于变换域方法抑制线性调频干扰的GPS接收机设计

GPS接收机的信号通常很微弱,很容易受到有意或无意的干扰。对于线性调频干扰,在GPS接收机中很难用单一的时域或频域方法消除,因为线性调频干扰不同于一般的宽带或窄带干扰。另外线性调频干扰在变换域有不同于GPS C/A码的显著特征,基于此特点设计了一种在变换域抑制线性调频干扰的GPS接收机。分析了线性调频干扰在变换域的特征,仿真结果验证了这种设计方法的可行性。     

基于STA/LTA岩石破裂微震信号实时识别算法及工程应用

微震监测获取的数据中通常混有大量的非岩石破裂信号,该类信号目前主要通过人工经验进行识别与滤除,这消耗了大量的宝贵时间,严重影响灾害的防治和救援效率。对大量微震信号进行分析,发现STA/LTA算法在信号实时触发后能大致表征波形振幅和频率的变化,岩石破裂信号和非岩石破裂信号在延迟位置处R值具有差异性。基于此,提出了岩石破裂微震信号实时识别算法。新算法应用到白鹤滩水电站地下厂房、红透山和阿舍勒铜矿深部采场3个工程,岩石破裂事件识别的准确率分别是85.98%、92.45%和91.06%,非岩石破裂事件滤除的准确率分别是72.06%、83.11%和49.87%。该算法使基于岩石破裂微震信息的岩石工程灾害自动分析与预警成为可能,具有重要意义。     

基于引力搜索法的隧道围岩微震定位研究

针对目前深埋隧道围岩微震源定位难且精度不高等问题,采用启发式算法——引力搜索法（GSA）对隧道围岩微震源位置进行搜索,并将该算法与粒子群算法和单纯形法的搜索结果进行对比。发现在双速度模型和三速度模型下,引力搜索法相较于粒子群算法和单纯形法,都具有快速收敛、精度较高的优点,且与震源位置的距离能够控制在10 m以内。对双速度模型,引力搜索法的精度相对于单纯形法提高了83.71%,相对于粒子群算法提高了7.77%。对三速度模型,引力搜索法的精度相对于单纯形法提高了70.67%,相对于粒子群算法提高了39.36%。可见,该方法为深埋隧道微围岩震源定位提供了一种新思路。