四川地区震源参数和台站场地响应初步研究

利用成都遥测数字地震台网数字地震波形数据资料,采用Atkinson方法得到四川地区的品质因子Q值与频率,的关系为：Q（f）=203．1f0.834。采用Moya方法反演得到了地震的场地响应,采用Moya方法与Atldnson方法分别得到了相应地震的震源谱参数,两种方法的结果保持了很好的一致性。得到的震源参数结果表明：地震矩与震级的关系为：logM0=17．27＋1．18Mt,地震矩与拐角频率关系,即随着地震矩的增大,拐角频率减小,这些地震的应力降在10-400巴之间,应力降与地震矩之间没有明显的依赖关系。     

祁连山中东段地区非弹性衰减系数、震源参数和场地响应研究

利用甘肃数字地震台网的波形记录,基于遗传算法,首先用Atkinson方法计算非弹性衰减系数,在此基础上用Moya方法同时反演震源参数和场地响应。反演结果表明,祁连山中东段地区非弹性衰减Q值与频率的关系为:Q(f)=687.9f0.460;除了湟源台(HYQ)外,其余台站的场地响应均有不同程度的放大效应;研究区地震的应力降范围为2~40 bar,优势分布在2~20 bar;震源参数拐角频率与地震矩、地震矩与震级之间存在依赖关系。     

会泽5.3级和文山5.3级地震序列震源参数研究

利用云南区域地震数字台网记录到的2005年8月5日云南会泽MS5.3地震和8月13日文山MS5.3地震的数字地震波形记录,在对S波观测记录位移谱进行传播路径、场地响应和仪器响应等校正后,根据Brune圆盘震源模型,利用遗传算法估算了这两个地震序列的震源参数.结果表明,两个序列的地震矩M0均在1012～1014 N·m之间,与近震震级有很好的线性关系,与震源半径呈线性关系;应力降与近震震级无明显的依赖关系;拐角频率和地震矩之间有明显的依赖关系,但拐角频率的实际计算值 fc 与在给定地震矩条件下得到的估计值fa之差及应力降随时间的变化表现出了不同的特征会泽地震序列的拐角频率差值和应力降在ML3.1余震前有一个由高到低的变化过程,反映了余震区应力场增高-下降的过程;文山地震序列拐角频率差值和应力降在ML≥3.1余震前均会出现高值或低值异常.     

湖北地区地震震源参数研究

为了研究湖北地区地震震源参数特征,本文基于湖北数字地震台网记录到的S波观测振幅谱,通过遗传算法获得湖北地区的介质品质因子和台站场地响应,并在此基础上计算了湖北地区地震震源参数。结果显示,湖北地区介质品质因子Q值随频率f变化的关系式为Q(f)=501.8·f~(0.309);对于大部分台站获得了与其岩石基底相符的场地响应,没有出现明显放大效应;地震震级与地震矩对数间呈线性关系,即lg M_0=10.06+1.093M_L;震源半径与应力降间呈双对数线性关系,即lgΔσ=10.52-2.01lgr;地震矩与拐角频率间整体上呈反相关;地震矩与应力降间关系不显著。     

山东长岛地区地震波非弹性衰减Q值、场地响应及震源参数研究

利用山东台网记录的长岛震群2017年2月14日—9月1日期间的波形与震相资料研究长岛地区非弹性衰减系数,得到该地区介质平均Q值与频率f的关系式为Q(f)=363.9f1.374 1。采用Moya等[1]提出的利用遗传算法联合反演得到长岛周边台站的场地响应,根据Brune模型震源参数计算公式求解长岛震群序列地震震源参数。结果显示,各个震源参数之间均存在一定的相关关系,地震矩随ML震级的增大而增加,地震矩与破裂半径R之间存在半对数关系,拐角频率fc随地震矩的增大而减少;长岛地震序列的应力降数值普遍偏小,最大不超过0.9MPa,这意味着长岛震源区整体构造应力较低,也可能指示长岛震群为低摩擦应力的断层作用;震源参数随时间的变化方面,整体而言,长岛震群地震应力降变化起伏很大,在M4.1地震发生前,拐角频率与应力降均发生快速下降后随即翻转上升的现象,证明在M4.1地震发生前震源区整体应力的挤压逐渐增强。     

云南姚安地震序列震源参数研究

2000年1月15日云南姚安发生5.9级和6.5级地震,利用布设在震中附近的6个流动数字地震台所记录的地震波资料,采用波谱分析和Brune理论的方法,得到姚安地震序列震源谱参数和震源参数。结果表明:地震序列的地震矩在108～1014N·m之间,应力降在0.005～10MPa之间,震源半径分布在50～660m之间,并得到地震矩M0和震级ML的关系为:lgM0=8.24+1.4ML。随着地震矩增大应力降增加,拐角频率反而减小;随震级的增大震源半径变大,但震源半径与应力降之间不存在明显的相关关系。     

利用数字化地震波形资料研究山西中南部地区的非弹性衰减系数、震源参数和场地响应

利用遗传算法反演山西中南部地区14个地震震源谱的低频水平、拐角频率和7个台站的场地响应。结果表明,Q(f)与频率的关系是:Q(f)=299.4f0.563;7个基岩台中岢岚、东山、阳城台在3 Hz~6 Hz附近有6~8倍的放大、离石台在2 Hz~10 Hz有2~3倍的放大。标量地震矩M。与ML震级线性相关较好,震源半径在230 m~508 m之间;拐角频率和地震矩之间的关系表现为拐角频率随地震矩的减小而增大;应力降和地震矩之间存在着应力降随地震矩的增大而增大的关系。     

甘东南地区非弹性衰减系数、震源参数和场地响应研究

利用甘肃数字地震台网的波形记录,基于遗传算法,首先用Atkinson方法计算非弹性衰减系数,在此基础上用Moya方法同时反演震源参数和场地响应。反演结果表明:甘东南地区非弹性衰减Q值与频率的关系为Q(f)=404.2f0.264;9个台站中除了天水台,其余台站的场地响应均没有显示明显的放大效应,这与其均处于岩石地基的情况相吻合;研究区地震的应力降范围为1～70bar;震源参数拐角频率与地震矩、地震矩与震级之间存在较明显的依赖关系。     

山西地区非弹性衰减系数、场地响应和震源参数的研究

根据山西数字地震台网14个地震台的310条波形资料,研究了山西地区的非弹性衰减系数,采用Atkinson和Moya方法研究了各台的场地响应和几个震源参数,并对这两种方法的反演结果进行了对比分析.得到山西地区介质品质因子Q值随频率f的关系为;Q(f)=323.2f0.506;得到的14个台站的场地响应均没有显示出明显的放大效应,这与山西台站均处于岩石地基相符;得到拐角频率和地震矩、地震矩和应力降、震源半径和应力降之间存在依赖关系.     

安徽地区震源参数的相关性研究

基于安徽数字地震台网2010年1月至2017年12月记录到的ML2.5~5.0级地震,根据中小地震震源参数测定原理,利用多台多地震联合反演Atkinson方法和Moya方法分别计算了安徽地区地壳平均非弹性衰减因子Q值和安徽24个省属专业地震的台站场地。在此基础上,运用遗传算法求得安徽地区96个地震事件的震源谱参数,进而根据Brune中小地震圆盘模型计算其拐角频率、地震矩、应力降、矩震级、震源尺度等震源参数,并分析其特征及相互之间的关系。研究结果表明:安徽地区中小地震的ML震级与其他震源参数之间存在一定相关关系,而地震矩M0与应力降Δσ、震源尺度r和拐角频率fc之间并未表现出明显的相关关系。     

SCIENCE CHINA Earth Sciences SUBJECT INDEX TO VOLUME 57(2014)

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Distribution of throughfall and stemflow in multi‐strata agroforestry,perennial monoculture,fallow and primary forest in central Amazonia,Brazil

The partitioning of rain water into throughfall, stemflow and interception loss when passing through plant canopies depends on properties of the respective plant species, such as leaf area and branch angles. In heterogeneous vegetation, such as tropical forest or polycultural systems, the presence of different plant species may consequently result in a mosaic of situations with respect to quantity and quality of water inputs into the soil. As these processes influence not only the water availability for the plants, but also water infiltration and nutrient leaching, the understanding of plant effects on the repartitioning of rain water may help in the optimization of land use systems and management practices. We measured throughfall and stemflow in a perennial polyculture (multi‐strata agroforestry), monocultures of peach palm (Bactris gasipaes) for fruit and for palmito, a monoculture of cupuaçu (Theobroma grandiflorum), spontaneous fallow and primary forest during one year in central Amazonia, Brazil. The effect on rain water partitioning was measured separately for four useful tree species in the polyculture and for two tree species in the primary forest. Throughfall at two stem distances, and stemflow, differed significantly between tree species, resulting in pronounced spatial patterns of water input into the soil in the polyculture system. For two tree species, peach palm for fruit (Bactris gasipaes) and Brazil nut trees (Bertholletia excelsa), the water input into the soil near the stem was significantly higher than the open‐area rainfall. This could lead to increased nutrient leaching when fertilizer is applied close to the stem of these trees. In the primary forest, such spatial patterns could also be detected, with significantly higher water input near a palm (Oenocarpus bacaba) than near a dicotyledonous tree species (Eschweilera sp.). Interception losses were 6·4% in the polyculture, 13·9 and 12·3% in the peach palm monocultures for fruit and for palmito, respectively, 0·5% in the cupuaçu monoculture and 3·1% in the fallow. With more than 20% of the open‐area rainfall, the highest stemflow contributions to the water input into the soil were measured in the palm monocultures and in the fallow. Copyright © 1999 John Wiley & Sons, Ltd.     

A Monte Carlo study of rainfall forecasting with a stochastic model

A procedure for short-term rainfall forecasting in real-time is developed and a study of the role of sampling on forecast ability is conducted. Ground level rainfall fields are forecasted using a stochastic space-time rainfall model in state-space form. Updating of the rainfall field in real-time is accomplished using a distributed parameter Kalman filter to optimally combine measurement information and forecast model estimates. The influence of sampling density on forecast accuracy is evaluated using a series of a simulated rainfall events generated with the same stochastic rainfall model. Sampling was conducted at five different network spatial densities. The results quantify the influence of sampling network density on real-time rainfall field forecasting. Statistical analyses of the rainfall field residuals illustrate improvement in one hour lead time forecasts at higher measurement densities.     

Anthropogenic Eutrophication and Red Tide Outbreak in Lacustrine Systems of the Kashmir Himalaya

Red tide, a recurrent phenomenon has become conspicuous in several Kashmir lake ecosystems since 1991. The responsible organism (Euglena pedunculata), a rare flagellate rediscovered in the Kashmir Himalaya (Khan 1993) caused first and unprecedented red tide outbreak, constituting a maximum of 96% of resident numerical phytoplankton density in Dal Lake. At present, conflicting hypotheses exist on the generation of causal assemblage(s) imparting redness to waters: Jeeji Bai (1991) linked its origin to acid precipitation – a fallout of burning oil‐fields during the Gulf War – whilst Khan (1993) holds local factor(s) responsible. Field/experimental studies support the latter contention that the influx of untreated sewage, in unison with warm temperatures, high levels of PhAR, iron and interruption to hydrological flow‐pattern together with absence/or reduction in grazing activity created conducive environmental milieu for red tide outbreak. Dal Lake “red tide” drifted the bloom‐inoculum to other waters, including Lake Wular, where additional ecological niches were carved out, threatening the aesthetic value and biological diversity of Kashmir lakes. Ecological monitoring indicates frequent seasonal red tide occurrence in Dal Lake (including summer‐autumn event of 1998) which testifies its unabated eutrophication status. Further studies are needed on ecological adaptability and biogeographic distribution of this rare and unique red tide‐causing flagellate.