利用强震记录校正的芦山7.0级地震峰值加速度震动图

运用考虑场地效应的震动图快速生成方法,综合考虑震中地区地质构造背景、震源机制解结果及中国西部地区地震动参数衰减特征,估计了2013年4月20日芦山7.0级地震加速度分布图.利用地震后获得的强震记录计算了强震台站观测值与借助经验性衰减关系估计值之间的系统偏差,进一步修正了峰值加速度分布图.结果显示,由于芦山地震属于高角度逆冲型地震,加大了震区的震动程度,特别是震中附近30km范围内震动程度比校正前的结果更高.     

2015年新疆皮山M_S 6.5地震序列震源深度测定

采用震源深度测定的确定性方法(PTD)和HypoSAT方法,使用新疆地震台网记录的原始地震波形数据,计算2015年7月3日皮山M_S 6.5主震和余震序列震源深度。结果显示,对于主震,采用PTD方法得到震源深度为21 km,采用HypoSAT方法得到震源深度为20 km;对于地震序列,采用PTD方法得到的震源深度主要分布在15—35 km,平均深度为23 km,而采用HypoSAT方法得到的震源深度主要分布在5—30 km,平均深度为19 km;采用PTD方法计算得到的震源深度较深,与中国地震局地球物理研究所采用矩张量反演得到的矩心深度(24 km)相差不大。     

2014年云南鲁甸MS6.5地震峰值加速度震动图

综合考虑震中地区地质构造背景、震源机制解结果、余震分布以及我国西部地区地震动参数衰减特征,运用考虑场地效应的震动图快速生成方法,将收集到的62组强震台站的峰值加速度作为插值使用,估计了2014年8月3日云南鲁甸M_S6.5地震峰值加速度震动图. 利用地震后获得的强震记录计算了强震台站观测值与借助经验性衰减关系得到的估计值之间的系统偏差,校正了缺少台站地区借助经验性衰减关系得到的估计值,获得了校正后的峰值加速度分布图. 结果显示,鲁甸M_S6.5地震的地震动峰值加速度随距离的衰减速度比前人对我国西部衰减统计的结果更快,对数偏差校正的结果更符合本次地震的衰减规律. 校正后的峰值加速度大于40 cm/s2的区域面积近8000 km2,比未经校正的峰值加速度大于40 cm/s2的面积减小了40%左右.      

用有限强地震动记录校正等震线的估计研究

选用获得了加速度记录的2011年4月10日四川炉霍MS5.3及2011年8月11日新疆维吾尔自治区克孜勒尔自治州阿图什市与伽师县交界MS5.8地震,研究其快速生成震动图的偏差校正方法;通过台站实际观测值与借助经验性衰减关系估计值之间的残差分析,提出了利用台站数据对缺少台站地区借助经验性衰减关系估计值的对数偏差校正方法; 并比较了圆和椭圆衰减关系模型的对数残差及震动图的分布形态．结果表明, 适合于当地地震动衰减关系plusmn;3倍标准差的标准能够识别一些台站异常数据, 如炉霍MS5.3地震中炉霍地办强震台近场峰值加速度的高频脉冲引起的异常数据;对数偏差校正方法适合于地震动强度速报中缺少台站数据地区借助经验性衰减关系地震动参数估计值的系统偏差校正;圆衰减关系模型只能控制震动的程度,不能控制其分布形态．明确的地震震源机制、震源破裂过程、当地的地质构造背景及余震分布等信息有助于修正震动图的分布形态．      

2018年1月20日乌鲁木齐县M_S4.8地震强震动观测记录初步分析

2018年1月20日乌鲁木齐县发生MS4.8地震,乌鲁木齐市区多处震感强烈。此次地震新疆强震台网共获取36条地震动加速度记录,距离震中21.8km的草原工作站烈度速报台记录到本次地震最大峰值加速度97.1×10^-2m/s^2(NS向),距离震中最近的永丰镇峰值加速度70.8×10^-2m/s^2(NS向)。经计算永丰镇仪器烈度为5.5度,与现场工作队考察结果基本一致。对获取到的地震动加速度进行频谱分析,卓越频率集中在2~8Hz范围内,这可能是造成永丰镇建筑物出现轻微破坏的原因之一。将峰值加速度与经验性衰减关系进行对比,震中距小于33km时,水平峰值加速度普遍高于经验性衰减关系。     

景谷M_S6.6、M_S5.8和M_S5.9地震强震动记录初步分析与场地效应研究

2014年云南景谷先后发生M_S6.6、M_S5.8和M_S5.9中强地震,云南强震动台网获取了丰富的加速度记录。本文整理了各次地震中固定台和流动台获取的强震动加速度记录资料,分别进行了地震动衰减关系和加速度反应谱分析,结果表明,所观测到的加速度峰值比云南地区地震动衰减关系预测值高,反应谱谱值随震级的增加有增大趋势。最后将益智强震台作为典型台站,分析了该台站在地震中的场地放大效应。     

2020年1月19日新疆伽师MS6.4地震强震动记录特征初步分析

2020年1月19日新疆伽师发生M S6.4地震,新疆强震动观测台网共获取44组强震动记录,西克尔强震台获得本次地震最大峰值加速度633.3×10-2 m·s-2。本文对获取到的强震动记录进行初步整理、分析,拟合得到本次地震地震动峰值加速度衰减关系,在300 km范围内与经验性衰减关系相差不大。计算分析了峰值加速度大于100×10-2 m·s-2的5个典型强震台站加速度反应谱,并与设计反应谱进行对比分析,同时计算了这5个台站地震动70%及90%能量持时,两者相差较大,反映出地震主要能量释放集中在相对较短的时间内。     

岷县漳县6.6级地震及余震强震动记录特征分析

对2013年7月22日甘肃岷县—漳县地震获取的273条主余震加速度记录进行格式转换、基线校正和滤波等常规处理,分析该地震主震(M_S6.6)和余震(M_S5.6)两次地震记录的幅值、持时以及反应谱特征,发现M_S6.6主震记录的PGA范围在0.728～177.5 gal间,M_S5.6余震记录的PGA范围在0.732～69.3 gal间;将观测数据与霍俊荣和第五代《中国地震动参数区划图》地震动衰减关系进行对比,发现霍俊荣衰减关系更吻合于此次地震的主余震加速度衰减;绘制主余震5%～95%重要持时分布图,并针对主震62MXT反应谱和本地设计谱以及近些年国内主要强震震中反应谱开展比较分析;最后研究土层台、基岩台、相同台站各个震级反应谱的特征。     

2016年苍梧M_S 5.4地震活动、震害特征及应急对策

2016年7月31日苍梧M_S 5.4地震的发生,标志着东南沿海地震带第5活跃幕的开始。通过该地震序列、震源机制、强震动记录、地震地质背景,地震灾害及震前异常变化,分析此次M_S 5.4地震活动及震害特征,为广西地区强震震后趋势判断、强震响应提供依据,并对地震前后采用的应急对策及发挥的作用进行论述。     

2013年吉林前郭M_S5.8震群序列研究

对前郭M_S5.8地震后6个月(2013年10月31日~2014年4月30日)内的地震事件进行了重新定位,并利用吉林区域地震台网提供的地震目录研究了序列活动特征。精定位结果显示,余震区呈NW走向分布,长轴约11km,短轴约6km。震源深度为5~15km。结合区域构造特征认为,该序列可能与NW走向的通榆-长春隐伏断裂活动有关,序列具有b值较低、5级地震频次高、发震时间集中的特点。序列主要起伏活动可以分为3个时段:主震后10天,余震强度衰减不明显;此后的2次起伏活动,地震活动分别表现出平静-增强(震级爬升)-发生强震和增强(震级爬升)-平静-再增强(震级爬升)-发生强震的特点;在序列早期阶段,震级-频度无法拟合成1条直线,G-R关系在低震级段和高震级段呈现2个线性段;在M_S5.8地震前h值有变小的趋势,且接近1;而M_S5.8地震后h值明显增大;M_S5.5地震后15天序列衰减比较慢,p值为0.76;M_S5.8地震后15天序列衰减较快,p值为1.17。     

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

正~~     

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.