2018年云南通海MS5.0和墨江MS5.9地震前地磁垂直强度极化异常时空特征研究

利用云南11个地磁台站的秒采样观测数据,计算和分析了地磁垂直强度极化值Y_zh在2019年8月13日、14日通海M_S5.0地震前及2019年9月8日墨江M_S5.9地震前的时空变化特征。研究表明,地磁台站Y_zh值的幅度在震前会出现同步增强现象。而与以往的极化震例研究相比,Y_zh值的高值异常在震前出现时间要更早些,可能会在震前2~5个月出现,距发震时间越近,产生的异常幅值可能越大,异常持续时间也越长。同时,研究还发现2次地震主要发生在异常空间等值线的高值区内,尤其在零值阈值线附近,这可能对今后发震地点的预测有一定的指示意义。对比异常产生时段内的D_st指数,认为该高值异常并非由空间电流体系所引起。     

河北及周边地区岩石圈磁场变化及震前异常特征

利用2019年度大华北秋季复测156个测点的流动地磁矢量资料,获得河北及周边地区岩石圈磁场半年变化图,分析归纳河北及周边地区岩石圈磁场的总体变化特征,并研究测区内2019年12月3日河北怀安M_S3.4地震和2019年12月5日河北丰南M_S4.5地震前岩石圈磁场局部变化和异常特征。结果表明：丰南M_S4.5地震发生在H矢量的转向区,总强度F负异常的高值区,D要素负异常的高梯度带和Z值变化的高值区;怀安M_S3.4地震则发生在H矢量幅值弱化且转向区,D要素零值线附近的正值区和Z值变化的低值区。     

2017年8月8日四川九寨沟MS7.0地震前甘肃南部地区视应力变化

利用甘肃省区域台网提供的地震波形资料,计算甘肃南部地区2010年1月～2017年8月M_L≥2.0地震的视应力,分析九寨沟地震前甘南地区视应力的时空演化特征,所得结果如下：①M_L2.6～3.1、M_L2.0～2.5震级段地震视应力的空间分布具有较好的一致性,九寨沟M_S7.0地震前,距震中较近的川甘交界地区的舟曲、文县等地呈现出较为集中的视应力高值异常;②M_L2.0～2.5、M_L2.6～3.1地震的视应力在大区域范围内随时间的变化趋势有一定差异,M_L2.6～3.1地震视应力变化更为明显,在较大区域范围内表现为震前显著升高,而M_L2.0～2.5地震视应力则在震前一两年内开始下降;③随着区域划分范围向震中靠近,M_L2.0～2.5、M_L2.6～3.1地震视应力的变化逐渐趋于一致,至震中附近时,2个震级段视应力均表现为“震前几年长时间升高—临震前几个月下降”的同步变化。     

2022年四川泸定MS6.8地震前地震活动与地球物理观测异常回顾与讨论

2022年9月5日四川泸定M_S6.8地震发生在2022年度全国地震重点危险区内,且震前作了较好的短期预测。本文回顾了中期(年度)和短期阶段地震活动和地球物理观测异常。①2022年度危险区确定的核心依据有川滇藏交界4级地震空区、危险区附近M_L≥3.5地震空区、跨断层形变趋势异常和重力场异常等,其中,川滇藏交界4级地震空区被2022年1月2日云南宁蒗M_S5.5地震打破具有中短期预测意义。②短期阶段,川滇藏交界4级地震空区经历了“打破—增强—平静”的演化过程,与1973年四川炉霍M_S7.6地震前高度相似,这可能与其发震构造相同、震源机制解一致和深部孕震环境相似有关。此外,还存在川滇地区震群和多个余震区准同步活动、巴塘显著震群等异常。地球物理观测方面,在2022年6月1日芦山M_S6.1和6月10日马尔康M_S6.0地震后,四川前兆异常无明显减少,而在7—8月显著增多,这可以作为强震后短期仍有可能再次发生强震的判定依据。新增异常主要分布在以三岔口(鲜水河断裂带、安宁河断裂带和龙门山断裂带交汇区,呈“Y”字形分布)为中心的300km范围内,这是震前短期地点预测的主要依据之一。③6.8级地震前形变中短期大幅度异常突出,且异常点均位于远场(距离6.8级地震震中130～300km范围内)。除礼州测距外,其余异常点均位于M_L3.5地震空区外围。形变异常出现的时间与M_L3.5地震空区打破后空区内部及边缘地震活动显著增强大体一致。④泸定6.8级地震发生在三岔口地区,该区及附近2015—2021年连续多年被确定为全国地震重点危险区,但均未发生预测地震,由此表明当前有效的强震年度(中期)时间预测依据少。     

2014年鲁甸MS6.5、景谷MS6.6地震前的长波辐射异常特征

为了研究2014年鲁甸M_S6.5、景谷M_S6.6地震前的长波辐射变化特征,应用功率谱相对变化法,以风云气象卫星长波辐射资料为基础数据,对上述2次地震进行了分析。结果显示：2次地震前短期内均存在明显的长波辐射相对功率谱异常变化,异常特征展布的边缘及走向与断层密切相关,震前短期内地震当年功率谱明显偏离其背景值及标准差,偏离持续时间约2个月,最大偏离差在7倍以上。2014年云南地区的这2次6级以上地震所表现出的长波辐射时空异常特征明显,易于识别,可为长波辐射资料用于该地区的地震监测提供震例经验。     

2011年3月10日云南盈江MS5.8地震的微震匹配定位与发震机理研究

前震序列分析在主震成核过程研究中具有重要意义.为探讨2011年3月10日盈江 M_S5．8地震孕震发震机理,利用微震匹配定位技术(MatchandLocate),以92个 M_S≥2．0的地震事件作为模板事件,对主震区周围5个台站连续地震记录进行前震检测,并结合前震、余震分布特点和主震前、后b 值变化趋势等开展综合分析.结果显示,盈江 M_S5．8地震前震主要集中于大盈江断裂第一分支西侧,余震沿ENE、SSE两个优势方向展布,推测此次盈江 M_S5．8地震的主要动力学成因系印度板块的持续向东挤压致使 ENE向的大盈江断裂和SSE向的隐伏断层构成的共轭断层系统发生破裂导致;主震前、后b 值变化暗示腾冲火山区下方广泛存在的流体在此次地震孕育发生过程中起到重要的诱发和促进作用.     

青海、新疆和西藏地区地震活动平静特征参数Wq值强震预测模式及其应用

以青海、新疆、西藏地区为研究区域,系统研究总结了该区域2010—2020年5.0级以上地震前W_q值的时空演化特征,并以2020年新疆于田6.4级和西藏尼玛6.6级地震为实例进行阐述。得出以下三点认识:①地震一般发生在W_q值异常扩展时段或扩展—减小时段,6.0级以上W_q值异常的震例中,约81%发生于异常出现后的9个月内;②地震一般位于W_q值异常面积扩展区或扩展—减小恢复区附近,近70%的震例发生在W_q值异常区内;③建立了震级与W_q值异常区面积间的正相关统计模型,二者的相关系数(R)为0.85,为预测青海、新疆和西藏地区地震的强度提供了定量关系。青海、新疆和西藏地区W_q值方法对6.0～6.9级地震的预测效果(W_q值异常的地震报准率为61%)优于5.0～5.9级地震(W_q值异常的地震报准率为26%),为我国地球物理观测程度较低地区开展强震中短期(1年内)预测提供了参考依据。     

岷县漳县Ms6.6地震前武都、天水钻孔应变异常变化分析

2013年7月22日岷县漳县M_s6.6地震前2~3月内,武都、天水应变资料出现了不同程度的异常变化,其中两台的NW道异常都非常显著,与2003年、2004年2次岷县地震前武都应变出现的异常很相似,都有β₁、β₂、γ₁三阶段前兆异常特征。     

土遗址土动力特性

通过动三轴试验和数值计算,分析甘肃河西地区原状、重塑土遗址土的动模量、阻尼比、抗剪强度和土遗址在破坏地震作用下的动力响应。结果表明：弹性范围内,原状和重塑土遗址土动应力σ_d和动应变ε_d呈非线性关系且符合双曲线模型,动弹性模量E随ε_d的增大而减小,二者初始动弹性模量E₀和剪模比G/G₀差别很小,剪模比曲线基本重合;剪应变γ取值范围相同时,重塑土阻尼比λ随着γ的增大趋势高于原状土;相同实验条件下,原状土遗址土内聚力略高于重塑土。夯实加固法一定程度上恢复了土遗址强度,但当破坏地震来临时,其整体的抗震性能还有待加强     

2017年8月9日精河MS6.6地震热红外亮温异常分析

利用相对功率谱方法对风云卫星热红外亮温数据进行处理,发现精河M_S6.6地震前存在明显的前兆异常。异常时空演化特征为2017年7月12日在北天山地震带中、东部和阿尔泰地震带中部开始出现相对功率谱高值聚集现象,随后幅值和面积逐渐增大,持续至7月27日异常面积和幅度达到最大值,然后逐渐减弱,2017年8月14日后基本恢复正常,异常持续大约1个月,8月9日在异常区域边缘发生精河M_S6.6地震。地震震中所在的北天山地震带平均相对功率谱值时序变化特征与异常区域时间演化过程类似,地震发生在平均相对功率谱由最大值恢复至正常背景值的过程中。     

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

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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.     

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.     

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.