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基于地震周期谱分析的强震发生时间预测方法研究 总被引:1,自引:0,他引:1
在地震周期谱分析的基础上,统计不同地震活动间隔周期出现的概率分布,进而以若干历史地震时间与预测考察时间间隔所隶属的概率进行概率合成,建立合成概率预测方法。新疆不同分区强震回顾性预测研究结果表明,该方法可以提取地震活动周期节点优势分布时段,为强震趋势预测提供综合判定依据。 相似文献
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针对中国大陆活动断裂的段破裂地震的两种主要复发行为,由历史地震资料初步建立起相应的复发间隔经验分布.结果表明:对于时间可预报复发,归一化复发间隔T/t能很好地服从对数正态分布LN(t=0.00,2t=0.152);其中,T是观测的复发间隔,t是与前一次事件的大小相关的平均复发间隔.对于准周期复发,归一化复发间隔T/t服从于对数正态分布LN(q=0.00,2q=0.242);其中,是不同轮回复发间隔的中位数.统计检验表明:本文得到的后一分布与环太平洋板缘特征地震的复发间隔分布(NB模型)没有显著差别;据此将它们合并,得到一个更加稳定的、准周期复发间隔的对数正态分布LN(=0.00,2=0.222). 相似文献
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准时间可预报复发行为与断裂带分段发震概率估计 总被引:7,自引:0,他引:7
反不确定性引入“时间可预报模式”,可将一次地震之后的平静时间表示成与这次地震位错量在小呈正相关的随机变量。称这种带有不确定性的地震原地复发行为为“准时间可预报行为”。对于历史地震资料,准时间可预报复发行为可由地震后平静时间的对数与地震烈度的回归方程。文中给出了估计一条枯断裂带不同段落以上一次地震烈度值为背景的平均复发时间间隔的方法,以及可用 于对未来地震潜势进行不确定评价的实时概率模型,并以鲜水河 相似文献
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采用不相等间距统计方法,研究唐山余震序列。方法一是直接、间接余震法;方法二是震间地震活动法;方法三是对数时间间隔法。用这些方法研究整个余震序列,研究了强余震瓣的趋势和短临变化,得到一些有预报意义的特点和指标。不等间距统计在法在地震预报中存在着重要作用。 相似文献
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后续地震发生时间估计及序列性质判定--以海城7.4级、巴楚-伽师6.8级地震序列为例 总被引:1,自引:1,他引:0
在前人研究的基础上,给出利用参数k判定序列性质及利用前期地震预测后续地震发生时间的方法.理论分析表明,参数k以0为界,不同的取值表征了不同的地震活动状态,这与地震趋势估计及后续地震预测密切相关.k<0表明地震间时间间隔逐渐增长,呈现一种类似余震序列逐渐衰减的活动特征;k=0意味着地震间时间间隔不变,地震活动表现为以T为周期的准周期性活动;k>0表明地震间时间间隔逐渐缩短,呈现一种类似前震序列或地震累积频次指数增长的异常活动特征.如果k值在正、负区间随机分布,则该组地震之间无相关性可言.利用1975年2月4日海城7.4级地震前、余震序列及2003年2月24日巴楚-伽师6.8级地震序列对上述方法进行了检验并对有关问题进行了初步讨论. 相似文献
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在中国大陆,中国震源区过去多次特征地震之间时间间隔的变异系数一般大于0.35,且在不同的震源区各不相同,以特征地震轮回的i-f-j模式(闻学泽等,1994)为基础,将特征地震复发时间T表示成同一轮回事件i至事件f1的时间差Tif的函数,并发展了估计“当前”轮回平均复发时间的方法,对任一震源区而言,用该方法估计的平均复发时间与过去特征地震时间间隔的表现行为无关,进一步得到T近似服从于对数正态分布LN 相似文献
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Gtz Schroth Luciana Ferreira Da Silva Marc‐Andree Wolf Wenceslau Geraldes Teixeira Wolfgang Zech 《水文研究》1999,13(10):1423-1436
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. 相似文献
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M. N. French R. L. Bras W. F. Krajewski 《Stochastic Environmental Research and Risk Assessment (SERRA)》1992,6(1):27-45
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. 相似文献
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M. A. Kahn 《洁净——土壤、空气、水》2000,28(2):95-101
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. 相似文献