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2018年10月16日新疆精河5.4级地震发生时,震中附近的台站不同程度上记录了地磁日变化畸变异常,如地磁总强度F02时每日一值空间相关异常、地磁垂直分量加卸载响应比异常、地磁低点位移以及地磁日变化空间相关异常等。统计震前观测到的所有地磁异常,并分析研究了其震前异常变化特征。得到如下结论:(1)从全国每日一值相关分析结果看,震前114天出现每日一值空间相关异常,异常高值台为乌鲁木齐和克拉玛依;(2)震前59天沿北天山断裂带分布的地磁台站加卸载响应比均成组出现超限的高值,且异常高值的空间分布跟震中位置有一定关联;(3)中国大陆地磁台站震前37天出现低点位移突变分界线,且异常集中于震中附近;(4)震前出现地磁垂直分量日变化空间相关异常,异常台站空间上也主要集中于北天山地区。因此地磁垂直分量日变形态及有关的计算方法短期内具有一定的预报效能,可为今后利用地磁方法预测地震积累经验和震例。 相似文献
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利用差分干涉雷达测量技术获取的宏观震中区的同震形变场，结合对地震活动性、震源机制、野外考察等资料分析，对昆仑山口西8.1级地震同震形变场特征进行了研究. 结果表明:宏观震中位于库赛湖东北侧，宏观震中区发震断层可分为两个形变中心区域，其中西段长约42 km，东段长约48 km，整个发震断层主破裂段长90 km；由干涉形变条纹分布格局可清楚地判断出发震断层的左旋走滑特征；断层两盘变形特征不同，南盘变形程度明显大于北盘；宏观震中附近最大斜距向位移量为288.4 cm，最小斜距向位移量为224.0 cm，宏观震中发震断层最大左旋水平位错为738.1 cm，最小地面左旋水平位错为551.8 cm. 相似文献
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2017年精河MS6.6地震前地磁异常特征分析 总被引：1，自引：0，他引：1
2017年8月9精河发生MS6.6地震,距震中300km范围内的温泉台、克拉玛依台、乌鲁木齐台捕捉到此次地震前的地磁异常信息,本文对此进行了分析和总结,结论如下：①地磁谐波振幅比反应了观测点深部电阻率变化,2016年呼图壁MS6.2、此次精河MS6.6地震均发生在克拉玛依台地磁谐波振幅比异常下降之后的转折和恢复阶段;②震前83天、21天沿北天山断裂带分布的地磁台站逐日比和加卸载响应比均成组出现超限的高值,且异常高值的空间分布与震中位置有一定关联;③全国大陆地磁台站震前34天出现低点位移突变分界线,且异常集中于震中附近。 相似文献
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加卸载响应比(LURR)是根据岩石应力-应变关系的动态演化规律提出的地震预测方法。以Benioff应变为响应量,分析青海玛多M_S7.4地震前震中及其周边400 km内的LURR异常的演化特征发现,在震前一个月LURR值达到最高值,半个月之后出现高值回落的现象,说明此时孕震区岩石介质已进入屈服阶段的末端。在此基础上,利用NOAA卫星地面长波辐射(OLR)数据,分析高值回落后(5月14—25日)地面长波辐射值的短临异常演化规律。结果显示:震前在空间上仅仅在震中北部出现OLR显著且连续的短临异常变化并呈现向震中扩展的趋势,在时间上整个演化过程经历了初始增温-异常扩展-达到峰值-异常减弱-地震发生-异常消失等6个阶段。LURR和OLR震前短临异常特征说明,回落前的LURR高值反映了岩石介质屈服阶段的结束,OLR在一定程度上可以表征处于临界状态的活动断层的构造应力累积状态,综合研究两种物理参量震前异常演化特征,有助于更准确评估地震活动趋势。 相似文献
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介绍了2006年11月23日新疆乌苏5.1级地震的基本参数、震源机制解、地震序列特征、发震构造和局部构造应力场;分析了震前数字地震波参数的变化和部分地震学前兆异常特征。研究结果认为,乌苏5.1级地震是博罗科努-阿齐克库都克断裂发生右旋走滑错动所致。震前观察到震中附近P波初动半周期、P波与S波振幅比以及应力降的变化。震前震中附近曾出现4级地震集中分布、3级地震空区图像,震前6~9个月出现震群活动,震前2个月温泉地震窗异常。除上述异常外,乌苏5.1级地震前整体异常比例不高。 相似文献
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本文所论震前气象要素异常,是指在破坏性地震发生前一个月里,在震中附近的一定区域内:1.日平均气压,达到历年同日平均气压的最低值;2.日平均气温、日最高气温、日最低气温分别是历年同日平均气温、日最高气温、日最低气温的最高值或最低值;3.日降水(雪)量达到历年同日降水(雪)量的最高值。近几年来突出的震例如表1(据震中区附近气象台、站的资料): 相似文献
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以新疆伽师M S6.4地震为案例,利用地磁日变化异常分析方法,对中国地磁台网所记录的地磁观测资料进行分析,结果显示:1、离震中最近的喀什台震前59 d和39 d出现一组逐日比高值异常,排除干扰,且地磁日变形态也出现明显的畸变,异常集中于震中附近台站,震中位于异常阈值线附近;2、震前,新疆及周边地区出现地磁垂直分量日变化幅度的极小值时间在空间上出现地磁低点位移现象,低点时间分界线横穿南天山西段,呈现近EW走向分布,分界线两侧低点时间相差超过2 h,发震日期为异常发生后的38(41±4)d,震中位于低点位移分界线附近;3、地磁逐日比和低点位移异常的发生时间和空间分布可能与伽师M S6.4地震的孕育和发生有非常高的关联性。该研究进一步推广和检验了地磁日变化异常分析方法在地震预报方面的应用。 相似文献
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绘制了重力测值的时变曲线和空间等值线,从动态的角度分析了1998年1月张北6．2级地震前的流动重力异常的演化及特征。结果显示,地震前的重力场呈下降变化,震中位于异常中心附近的重力变化高梯度区。 相似文献
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The δ2H and δ18O composition of 77 precipitation samples collected between January 2014 and April 2019 from two sites across the Guadalquivir Basin, SW Spain, were analysed. The first site is located in an urban area of Seville at 100 km distance to the Atlantic coast and the second site is located in a dune area of the Doñana National Park a few kilometres from the coast. Sampling was performed within intervals of at least 14 days if rain occurred but frequently intervals were longer according to the rainfall incidence. Samples from both sites are available for the period February 2016 to June 2018 with six samples containing identical rain events at both locations. Precipitation weighted averages and local meteoric water lines produced by weighting and non-weighting regression methods are presented for its use in hydrological applications. Results show a remarkably high variability in δ2H and δ18O values and precipitation weighted average d-excess values of 11.8‰ and 13‰ at the sites Plaza de España and Doñana, respectively. Temperature and amount effects were found to be weak. A significant influence of secondary evaporation for single rainfall events during summer was identified by enriched isotopic signatures with reduced d-excess values plotting close or below the global meteoric water line. Backward trajectory analysis of 115 days with daily rainfall above 3 mm yield a predominant Atlantic Ocean vapour source with negligible Mediterranean influence and therefore, d-excess variability is attributed to the different ocean surface conditions of relative humidity and sea surface temperature. Parallel sampling indicate very similar isotopic signatures at both sites and point to the existence of thermal effects of the Plaza de España site in Seville city during the summer season. 相似文献
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Satyaban Bishoyi Ratna 《Pure and Applied Geophysics》2012,169(1-2):259-273
This paper presents the results of an analysis of the daily rainfall of 329 rain gauge stations data over Maharashtra, a state in India, during the summer monsoon season, June to September, for the 11?year period from 1998 to 2008. Mesoscale analysis of the daily rainfall data is performed by converting the station rainfall data into gridded format with 15?km resolution. Various statistics have been carried out over 35 districts of four meteorological subdivisions of the Maharashtra state to understand the spatio-temporal variability of rainfall. Variation of monthly mean rainfall for the four monsoon months and a season as whole is analyzed for different rainfall statistics such as mean rainfall, rainfall variability, rainy days, maximum daily rainfall and classification of rainy days. Seasonal rainfall is maximum over the Konkan region followed by the eastern Vidharbha region whereas Madhya Maharashtra as a rain shadow region receives less rainfall. The rainfall is highly variable over all of Maharashtra with the coefficient of variability of the daily rainfall varying between 100 and 300%. Seasonal distribution of the number of rainy days shows 90–100 over southern Konkan, 80–90 over northern Konkan, 50–60 over eastern Vidharbha, and the southeast Madhya Maharashtra has the lowest number of about 15–20 rainy days. The highest values of maximum daily rainfall are located over the Sindhudurg, Ratnagiri, Raigadh, Mumbai and Thane districts of the Konkan region followed by that over eastern Vidharbha. The rainfall data have been divided into three categories (moderate rainfall, heavy rainfall and extreme heavy rainfall) based upon seven categories used by the India Meteorological Department. Heavy rainfall zones lie over the southern Konkan region, whereas extreme heavy rainfalls occur over northern latitudes. The data used in this study is having high resolution and district wise analysis over Maharashtra state is extremely beneficial. 相似文献
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Jenni Barclay Jade E. Johnstone Adrian J. Matthews 《Journal of Volcanology and Geothermal Research》2006,150(4):241-358
Rainfall data collected on and around the Soufriere Hills Volcano, Montserrat between 1998 and 2003 were analysed to assess the impact on primary volcanic activity, defined here as pyroclastic flows, dome collapses, and explosions. Fifteen such rainfall-triggered events were identified. If greater than 20 mm of rain fell on a particular day, the probability of a dome collapse occurring on that day increased by a factor of 6.3% to 9.2%, compared to a randomly chosen day. Similarly, the probability of observing pyroclastic flows and explosions on a day with > 20 mm of rainfall increased by factors of 2.6 and 5.4, respectively. These statistically significant links increased as the rainfall threshold was increased. Seventy percent of these rainfall-induced dome collapse episodes occurred on the same calendar day (most within a few hours) as the onset of intense rainfall, but an extra 3 occurred one or two calendar days later. The state of the volcano was important, with the rainfall–volcanic activity link being strongest during periods of unstable dome growth and weakest during periods of no dome growth or after a recent major collapse.Over 50% of the heavy rain days were associated with large-scale weather systems that can potentially be forecast up to a few days ahead. However, the remaining heavy rain days were associated with small-scale, essentially unpredictable weather systems. There was significant variability in the amount of rainfall recorded by different rain gauges, reflecting topographic variations around the volcano but also the inherent small-scale variability within an individual weather system. Hence, any monitoring/warning program is recommended to use a network, rather than just a single gauge. The seasonal cycle in rainfall was pronounced, with nearly all the heavy rain days occurring in the May–December wet season. Hence, the dome was at its most vulnerable at the beginning of the wet season after a period of uninterrupted growth. Interannual variability in rainfall was related to tropical Pacific and Atlantic sea surface temperature anomalies, and holds out the prospect of some limited skill in volcanic hazard forecasts at even longer lead times. 相似文献
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易门地倾斜前兆综合分析的初步研究 总被引：2，自引：0，他引：2
本文应用莱柯拉兹滤波和别尔夫捷调和分析方法,对易门地倾斜固体潮观测资料进行处理;结合测点附近的区域地质构造特点、地震活动性和误差理论进行综合分析。数据处理和综合分析结果表明:易门地倾斜固体潮观测稳定,精度亦佳;测点地区内的大震前,均有前兆异常存在;测点所在地震带内的中强震前,有前兆异常存在;测点附近较近地区的中强震前,有时有前兆异常存在;大震及其前兆对地倾斜观测精度有直接影响;大震前存在一种集群性多台、多手段、多方法的前兆异常现象;在未来的一年时间内(1991年),云南地区不存在七级以上地震的危险。 相似文献
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采用高水平分辨率区域气候模式进行区域未来气候变化预估,对理解全球增暖对区域气候的潜在影响和科学评估区域气候变化有很好的参考价值.这里对国家气候中心使用25 km高水平分辨率区域气候模式RegCM3单向嵌套全球模式MIROC3.2_hires在观测温室气体(1951—2000)和IPCC A1B温室气体排放情景下(2001—2100)进行的共计150年长时间模拟结果,进行华北地区未来气温、降水和极端气候事件变化的分析.模式检验结果表明:模式对当代(1981—2000)气温以及和气温有关的极端气候事件(霜冻日数、生长季长度)的空间分布和数值模拟较好;对降水及和降水有关的极端气候事件(强降水日期、降水强度、五日最大降水量)能够模拟出它们各自的主要空间分布特征,但在模拟数值上存在偏大、偏强的误差.和全球模式驱动场相比,区域模式模拟的气温、降水和极端气候事件有明显的改进.2010—2100年华北地区随时间区域平均气温升高幅度逐渐增大,随之霜冻日数逐渐减少,生长季长度逐渐增多;同时随温室效应的不断加剧,未来降水呈增加的趋势,强降水日期和五日最大降水量逐渐增多、降水强度逐渐增大.从空间分布看,21世纪末期(2081—2100)气温、降水以及有关的极端气候事件变化比21世纪中期(2041—2060)更加明显. 相似文献
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Maxime Souvignet Patrick Laux Jim Freer Hannah Cloke Dang Quang Thinh Tran Thuc Johannes Cullmann Alexandra Nauditt Wolfgang‐Albert Flügel Harald Kunstmann Lars Ribbe 《水文研究》2014,28(4):1587-1601
In this study, change in rainfall, temperature and river discharge are analysed over the last three decades in Central Vietnam. Trends and rainfall indices are evaluated using non‐parametric tests at different temporal levels. To overcome the sparse locally available network, the high resolution APHRODITE gridded dataset is used in addition to the existing rain gauges. Finally, existing linkages between discharge changes and trends in rainfall and temperature are explored. Results are indicative of an intensification of rainfall (+15%/decade), with more extreme and longer events. A significant increase in winter rainfall and a decrease in consecutive dry days provides strong evidence for a lengthening wet season in Central Vietnam. In addition, trends based on APHRODITE suggest a strong orographic signal in winter and annual trends. These results underline the local variability in the impacts of climatic change at the global scale. Consequently, it is important that change detection investigations are conducted at the local scale. A very weak signal is detected in the trend of minimum temperature (+0.2°C/decade). River discharge trends show an increase in mean discharge (31 to 35%/decade) over the last decades. Between 54 and 74% of this increase is explained by the increase in precipitation. The maximum discharge also responds significantly to precipitation changes leading to a lengthened wet season and an increase in extreme rainfall events. Such trends can be linked with a likely increase in floods in Central Vietnam, which is important for future adaptation planning and management and flood preparedness in the region. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
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Costijn Zwart Niels C. Munksgaard Alain Protat Naoyuki Kurita Dionisia Lambrinidis Michael I. Bird 《水文研究》2018,32(15):2296-2303
This work provides a comprehensive physically based framework for the interpretation of the north Australian rainfall stable isotope record (δ18O and δ2H). Until now, interpretations mainly relied on statistical relationships between rainfall amount and isotopic values on monthly timescales. Here, we use multiseason daily rainfall stable isotope and high resolution (10 min) ground‐based C‐band polarimetric radar data and show that the five weather types (monsoon regimes) that constitute the Australian wet season each have a characteristic isotope ratio. The data suggest that this is not only due to changes in regional rainfall amount during these regimes but, more importantly, is due to different rain and cloud types that are associated with the large scale circulation regimes. Negative (positive) isotope anomalies occurred when stratiform rainfall fractions were large (small) and the horizontal extent of raining areas were largest (smallest). Intense, yet isolated, convective conditions were associated with enriched isotope values whereas more depleted isotope values were observed when convection was widespread but less intense. This means that isotopic proxy records may record the frequency of which these typical wet season regimes occur. Positive anomalies in paleoclimatic records are most likely associated with periods where continental convection dominates and convection is sea‐breeze forced. Negative anomalies may be interpreted as periods when the monsoon trough is active, convection is of the oceanic type, less electric, and stratiform areas are wide spread. This connection between variability of rainfall isotope anomalies and the intrinsic properties of convection and its large‐scale environment has important implications for all fields of research that use rainfall stable isotopes. 相似文献
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Spatial and Temporal Variations in Indian Summer Monsoon Rainfall and Temperature: An Analysis Based on RegCM3 Simulations 总被引：2，自引：0，他引：2
Regional climate models are important tools to examine the spatial and temporal characteristics of rainfall and temperature at high resolutions. Such information has potential applications in sectors like agriculture and health. In this study, the Regional Climate Model Version 3 (RegCM3) has been integrated in the ensemble mode at 55 km resolution over India for the summer monsoon season during the years 1982–2009. Emphasis has been given on the validation of the model simulation at the regional level. In Central India, both rainfall and temperature show the best correlations with respective observed values. The model gives rise to large wet biases over Northwest and Peninsular India. RegCM3 slightly underestimates the summer monsoon precipitation over the Central and Northeast India. Nevertheless, over these regions, RegCM3 simulated rainfall is closer to the observations when compared to the other regions where rainfall is overestimated. The position of the monsoon trough simulated by the model lies to the north of its original observed position. This is similar to the usual monsoon break conditions leading to less rainfall over Central India. RegCM3 simulated surface maximum temperature shows a large negative bias over the country while the surface minimum temperature is close to the observation. Nevertheless, there is a strong correlation between the all India weighted average surface temperature simulated by RegCM3 and IMD observed values. While examining the extreme weather conditions in Central India, it is found that RegCM3 simulated frequencies of occurrence of very wet days, extremely wet days, warm days and warm nights more often as compared to those in IMD observed values. However, these are systematic biases. The model biases in the frequencies of distribution of rainfall extremes explain the wet and dry biases in different regions in the country. Overall, the inter-annual characteristics of both the rainfall and temperature extremes simulated by RegCM3 in Central India are well in phase with those found in the observed data. 相似文献
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Anomalous Diffuse CO2 Emissions at the Masaya Volcano (Nicaragua) Related to Seismic-Volcanic Unrest
Germán D. Padilla Pedro A. Hernández Nemesio M. Pérez Ernesto Pereda Eleazar Padrón Gladys Melián José Barrancos Fátima Rodríguez Samara Dionis David Calvo Martha Herrera Wilfried Strauch Angélica Muñoz 《Pure and Applied Geophysics》2014,171(8):1791-1804
Anomalous changes in the diffuse emission of carbon dioxide within the Masaya caldera have been observed before two seismic events that occurred at 10 and 30 km from the observation site. Their epicenters are located, respectively, south of Managua in Las Colinas (4.3 magnitude) and the Xiloa caldera (3.6 magnitude), in 2002 and 2003, recorded by the geochemical station located at El Comalito, Masaya volcano (Nicaragua). Anomalous increases were observed, which occurred around 50 and 8 days before the main seismic event that took place in Las Colinas, and 4 days before the seismic swarm at the Xiloa caldera, with a maximum CO2 efflux of 9.3 and 10.7 kg m?2 day?1, respectively. The anomalous CO2 efflux increases remained after filtering with multiple regression analysis was applied to the CO2 efflux time series, which indicated that atmospheric variables, during the first 4 months, explained 23 % CO2 variability, whereas, during the rest of the time series, CO2 efflux values are poorly controlled with only 6 %. The observed anomalies of the diffuse CO2 emission rate might be related to pressure changes within the volcanic–hydrothermal system and/or to geostructural changes in the crust due to stress/strain changes caused before and during the earthquakes’ formation, and seem not to be related to the activity of the main crater of Masaya volcano. 相似文献