2022年芦山6.1级地震和马尔康6.0级地震前的重力变化特征

地震孕育过程中的地表重力值会发生相应的变化,利用四川地区2018年3月—2022年4月的流动重力观测数据得到重力场等值线变化图,研究2022年芦山6.1级地震和马尔康6.0级地震前的重力变化特征。结果表明：(1)芦山6.1级地震和马尔康6.0级地震震前约一年半进入重力变化显著时期;(2)芦山6.1级地震对马尔康6.0级地震的发生有促进作用;(3)芦山6.1级地震和马尔康6.0级地震前震区重力变化等值线出现类似于四象限区域的分布特征,显示该处应力高度集中;(4)芦山6.1级地震和马尔康6.0级地震震中区处于零值线附近且零值线在此处转折弧度较大,是构造带易发震的薄弱位置。     

2013年甘肃岷县漳县6.6级地震前后重力场动态变化

利用青藏高原东北缘2011-2013年期间的流动重力观测资料,系统分析了区域重力场动态变化及其与2013年7月22 H岷县漳县6.6级地震发生的关系.结果表明:1)测区内重力场异常变化与主要断裂带在空间上关系密切,反映沿主要断裂带(段)在2011-2013年期间发生了引起地表重力变化效应的构造活动或变形.2)岷县漳县6.6级地震前,测区内先出现了较大空间范围的区域性重力异常,后在震源区附近产生了局部重力异常及重力变化高梯度带,其中,甘肃临夏与岷县一带重力差异变化达150×10 8ms-2以上;这些可能反映岷县漳县地震前,区域及震源区附近均产生与该地震孕育、发生有关的构造运动或应力增强作用.3)重力场1a尺度动态变化图像和差分动态演化图像均反映岷县漳县6.6级地震孕育过程的最后2a出现较显著的流动重力异常变化,地震发生在NE向重力变化高梯度带上、重力变化零值线附近和等值线的拐弯部位.4)基于流动重力异常变化在岷县漳县6.6级地震前做过一定程度的中期预测,尤其是地点判定.     

2013年四川芦山Ms7.0地震前的重力变化

利用川西地区2010-2012年期间的流动重力观测资料,系统分析了区域重力场变化及其与2013年4月20日四川芦山7.0级地震发生的关系.结果主要表明:①区域重力场异常变化与北东向龙门山断裂带南段和北北西向马尔康断裂带在空间上关系密切,反映沿该两断裂带(段)在2010-2012年期间发生了引起地表重力变化效应的构造活动或变形.②芦山7.0级地震前,测区内出现了较大空间范围的区域性重力异常,而震源区附近产生了局部重力异常,沿龙门山断裂带南段形成了重力变化高梯度带,其中,宝兴、天全、康定、泸定、石棉一带重力差异变化达100×10^-8m·s^-2以上;这些可能反映芦山地震前,区域及震源区附近均产生与该地震孕育、发生有关的构造运动或应力增强作用.③重力场差分动态演化图像和重力场累积变化动态图像均反映芦山7.0级地震孕育过程的最后2~3年出现较显著的流动重力异常变化,可视为该地震的中期前兆信息;本文第一作者等也曾基于该流动重力异常变化在芦山7.0级地震前做过一定程度的中期预测,尤其是地点预测.本文的例子再次证明流动重力观测能较好地捕捉到强震孕育发生过程中,特别是该过程最后阶段的重力异常变化信息.因此,区域流动重力场观测对未来强震的中-长期预测,尤其是在发震地点的判定上具有优势.     

青藏高原东缘重力观测及对芦山M7.0地震的反映

介绍了青藏高原东缘地区相对重力与绝对重力的观测情况,系统分析了该区域2010以来的区域重力场变化及其与2013年4月20日四川芦山7.0级地震发生的关系。结果表明:(1)芦山7.0级地震前青藏高原东缘重力变化剧烈,芦山地震发生在沿龙门山断裂带南段的重力变化高梯度带的转弯部位;(2)芦山地震距2008年汶川地震不到100km,芦山震中及汶川地震震中均处于重力变化四象限中心,表明汶川地震震后恢复调整变化对芦山地震具有促进作用;(3)基于流动重力异常变化在芦山7.0级地震前做过一定程度的中期预测,尤其是地点预测。     

利用小波变换研究民乐M6.1地震前区域重力场变化特征

对民乐M 6.1地震前4年河西地区重力场变化进行小波分解,结果表明:重力异常变化一阶小波分体呈现随机性与局部性,反映浅层和局部质量变化引起重力变化;二阶小波分解与地质结构一致,反映断层活动引起的重力变化;三阶小波分解结果表明,在民乐M 6.1地震前,重力显著改变,显示深部物质状态发生变化是引起此次地震发生的重要因素;四阶小波分解反映深部物质状态引起重力变化,对此次民乐M 6.1地震反应不明显。地震发生后,震区构造活动减弱,各阶小波分解对地震反应不明显。     

孕震过程中重力位、重力、重力梯度变化的数值模拟研究

简要介绍了为探索和解释地震前后重力变化的各种孕震模式,推导了由孕震引起的密度变化和位移与地面重力位、重力、重力梯度之间的变化关系。摸拟计算了孕震位移和密度变化引起的重力位、重力、重力梯度变化的空间分布并分析了重力位、重力、重力梯度变化的空间分布特征。与此同时,采用广义司托克斯云积分和有限差分方法对云南丽江7. 0级地震前重力位、重力、重力水平梯度进行了计算。结果表明,强震前重力位、重力、重力梯度有其自身的变化特征,这对预测强震有实际意义。     

河北省文霸网流动重力观测对网区及周边地震的反应

绘制了河北省文霸网流动重力测值的时序变化曲线和空间等值线,从动态的角度分析了观测对网区及周边地震的反应.重力异常呈现下列特征:震前异常持续时间约2年左右,变化量值在几十微伽;异常主要形态表现为持续下降,震前转折;邢台5.4级地震和文安5.1级地震前网区重力场均出现了显著的、连续的高值异常区;网区内的文安5.1级地震的震中位于重力变化零等值线附近的高梯度带上.     

2014年康定M_S6.3级地震前后的重力变化特征

利用四川地区2010年8月至2015年3月的流动重力观测数据作出重力场等值线变化图像,研究分析2014年康定MS6.3级地震前后的重力变化特征,结果表明:(1)三岔口地区长期保持区域性重力正值变化异常及重力变化高梯度带;(2)在康定MS6.3级地震前后三岔口地区的区域性重力正值变化异常及重力变化高梯度带变化并不是特别显著;(3)在康定MS6.3级地震前震区重力变化等值线出现四象限区域或者类似于四象限区域的分布特征;(4)康定MS6.3级地震发震位置处于0值线附近且0值线在此处发生明显的转折、畸变;(5)康定MS6.3级地震发生在重力减小后回调增加的过程中,震后重力继续回调增加。     

福建重力场演变特征与仙游M_L 5.2级地震研究

对福建地区2008—2017年的流动重力复测资料进行系统整理和分析,从重力场时空变化角度分析了福建地区重力场演变特征,并重点研究了2013年仙游M_L 5.2级地震前区域重力场累积变化和震中附近测点重力点值时序变化,探讨了重力场变化与地震的关系。研究发现:福建地区重力场变化显著,且呈现逐渐增强态势;仙游地震发生前,沙县—南日岛断裂两侧重力正、负高值异常变化,震中附近测点重力值存在转折异常。     

广西北流—广东化州5.2级地震前粤桂琼地区重力变化特征

收集了粤桂琼地区4个台站的连续重力观测资料和雷琼地区的流动重力观测资料,研究了广西北流—广东化州5.2级地震前粤桂琼地区重力变化特征。其中连续重力观测资料的分析从重力扰动和重力M2波潮汐因子变化两个方面进行;流动重力观测资料的分析从重力场差分动态和累积动态变化两个方面进行。连续重力观测资料的研究表明震前粤桂琼地区连续重力观测资料无异常现象;雷琼地区流动重力观测资料的研究结果表明,广西北流—广东化州5.2级地震前,震中附近地区存在重力场变化异常,异常持续时间约2年,异常范围约100 km,异常量级约50x10~(-8)m·s~(-2),地震发生于重力场变化的高梯度带上。     

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.