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Rushan earthquake swarm in eastern China and its indications of fluid-triggered rupture 被引量:4
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作者 Jian-Chang Zheng Dong-Mei Li +2 位作者 Cui-Qin Li Peng Wang Chang-Peng Xu 《Earthquake Science》 CSCD 2017年第5期239-250,共12页
An extraordinary earthquake swarm occurred at Rushan on the Jiaodong Peninsula from October 1, 2013, onwards, and more than 12,000 aftershocks had been detected by December 31, 2015. All the activities of the whole sw... An extraordinary earthquake swarm occurred at Rushan on the Jiaodong Peninsula from October 1, 2013, onwards, and more than 12,000 aftershocks had been detected by December 31, 2015. All the activities of the whole swarm were recorded at the nearest station, RSH, which is located about 12 km from the epicenter. We examine the statistical characteristics of the Rushan swarm in this paper using RSH station data to assess the arrival time difference, ts p, of Pg and Sg phases. A temporary network comprising 18 seismometers was set up on May 6, 2014, within the area of the epicenter; based on the data from this network and use of the double difference method, we determine precise hypocenter locations. As the distribution of relocated sources reveals migration of seismic activity, we applied the mean-shift cluster method to perform clustering analysis on relocated catalogs. The results of this study show that there were at least 16 clusters of seismic activities between May 6, 2014, and June 30, 2014, and that each was characterized by a hypocenter spreading process. We estimated the hydraulic diffusivity, D, of each cluster using envelope curve fitting; the results show that D values range between 1.2 and 3.5 m2/d and that approximate values for clusters on the edge of the source area are lower than those within the central area. We utilize an epidemic-type aftershock sequence (ETAS) model to separate external triggered events from self-excited aftershocks within the Rushan swarm. The estimated parameters for this model suggest that α = 1.156, equiva- lent to sequences induced by fluid-injection, and that the forcing rate (μ) implies just 0.15 events per day. These estimates indicate that around 3% of the events within the swarm were externally triggered. The fact that variation in μ is synchronous with swarm activity implies that pulses in fluid pressure likely drove this series of earthquakes. 展开更多
关键词 Earthquake swarm ·Fluid triggered clusteranalysis ETAS model
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PREDICTING HETEROSIS IN GRAIN YIELD FROM GENETIC DIVERGENCE ANALYSIS IN SUNFLOWER
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作者 QiaoChungui SunYushu +3 位作者 LiDianshen SunChangzhan LiChunzi LiShuqiang 《生物数学学报》 CSCD 北大核心 1995年第4期19-27,共9页
Geneticdivergenceanalysiswasconductedbasedonperformanceof12quantitativetraitsin85sunflowerinbredlines,tostudyitseffectivenessinpredictingyieldheterosisofthe72hybridsfromthem.Resultsshowedthatlinearregressionmodelfitth... Geneticdivergenceanalysiswasconductedbasedonperformanceof12quantitativetraitsin85sunflowerinbredlines,tostudyitseffectivenessinpredictingyieldheterosisofthe72hybridsfromthem.Resultsshowedthatlinearregressionmodelfittherelationshipbetweenheterosisofseedoilcontentandgeneticdistance,andquadraticregressionequationtherelationshipbetweengrainyieldheterosisandgeneticdistance,whichcanbeusedinpredictingheterosisfromtheparentperformances.Clusteranalysiswaseffectivetocertainextent,butitsutilizationshouldbelimited.Grainyieldandoilcontentcanbeimprovedsimutaneouslyaccordingtotherelationsbetweengeneticdivergenceandtheheterosisofthesetwotraits. 展开更多
关键词 SUNFLOWER Geneticdivergence clusteranalysis HETEROSIS
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Determination of the principal factors of river water quality through cluster analysis method and its prediction 被引量:2
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作者 Liang GUO Ying ZHAO Peng WANG 《Frontiers of Environmental Science & Engineering》 SCIE EI CAS CSCD 2012年第2期238-245,共8页
关键词 water quality forecast principal factor clusteranalysis method artificial neural network
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