The characteristics of seismic water level fluctuations of the two Sumatra-Andaman strong earthquakes with magnitude 8.7 and 8.5 on December 26,2004 and March 29,2005 recorded at Jiaji well,Qionghai,Hainan were analyz...The characteristics of seismic water level fluctuations of the two Sumatra-Andaman strong earthquakes with magnitude 8.7 and 8.5 on December 26,2004 and March 29,2005 recorded at Jiaji well,Qionghai,Hainan were analyzed,the features of the infrequent "step" changes of well water level after the two earthquakes were also analyzed and the mechanism of the "step change" of well water level was discussed.Then the high-sample-rate digital observation data of seismically-induced water level fluctuations of the Sumatra-Andaman strong earthquakes with magnitude 8.7 and 8.5 recorded at Nanbin well,Sanya and Tanniu well,Wenchang were analyzed.The results suggest that the dominant period of the seismic well water level fluctuation in all three wells was comparatively accordant,the amplitudes of seismic water level fluctuation of the same earthquake in different wells were clearly different,the time duration of seismic water level fluctuations of different earthquakes at the same well was also clearly different.展开更多
In this paper,statistics are taken on the co-seismic response of underground fluid in Yunnan to the Nepal M_S8. 1 earthquake,and the co-seismic response characteristics of the water level and water temperature are ana...In this paper,statistics are taken on the co-seismic response of underground fluid in Yunnan to the Nepal M_S8. 1 earthquake,and the co-seismic response characteristics of the water level and water temperature are analyzed and summarized with the digital data. The results show that the Nepal M_S8. 1 earthquake had greater impact on the Yunnan region,and the macro and micro dynamics of fluids showed significant co-seismic response. The earthquake recording capacity of water level and temperature measurement is significantly higher than that of water radon and water quality to this large earthquake; the maximum amplitude and duration of co-seismic response of water level and water temperature vary greatly in different wells. The changing forms are dominated by fluctuation and step rise in water level,and a rising or falling restoration in water temperature. From the records of the main shock and the maximum strong aftershock,we can see that the greater magnitude of earthquake,the higher ratio of the occurrence of co-seismic response,and in the same well,the larger the response amplitude,as well as the longer the duration. The amplitude and duration of co-seismic response recorded by different instruments in a same well are different. Water temperature co-seismic response almost occurred in wells with water level response,indicating that the well water level and water temperature are closely related in co-seismic response,and the well water temperature seismic response was caused mainly by well water level seismic response.展开更多
China experiences one of the most frequent flood disasters in the world.Establishing accurate and reliable flood prediction program is the key to deal with flood disasters.Nanshui Reservoir Basin,in southern China,bel...China experiences one of the most frequent flood disasters in the world.Establishing accurate and reliable flood prediction program is the key to deal with flood disasters.Nanshui Reservoir Basin,in southern China,belongs to subtropical monsoon climate,with more rain in spring,concentrated rainstorm in summer and typhoon storm in autumn.Floods at dam site are mostly small and medium-sized floods with steep rise and slow fall as typical mountain flood.In order to explore the applicability of Liuxihe model in flood prediction of Nanshui Reservoir,this paper builds up Liuxihe model for Nanshui Reservoir based on DEM,land use and soil type data,and selects a typical flood event to optimize the parameters using particle swarm optimization(PSO)algorithm and verifies the accuracy of the model by simulating the other floods.Liuxihe model established in this paper indicates a satisfactory performance for flood prediction for Nanshui Reservoir,which can meet the accuracy requirement of flood prediction.Finally,the effects of different river grading and PSO algorithm on flood prediction are discussed.The results show that the PSO algorithm can obviously improve the accuracy of the Liuxihe model for flood forecast in Nanshui Reservoir.The simulation based on four-level channel grading has better results than that based on three-level channel,which indicates increased peak flood value,delayed peak time and closer simulation to the measured value.展开更多
基金sponsored by Joint Earthquake Science Foundation of China (105086)
文摘The characteristics of seismic water level fluctuations of the two Sumatra-Andaman strong earthquakes with magnitude 8.7 and 8.5 on December 26,2004 and March 29,2005 recorded at Jiaji well,Qionghai,Hainan were analyzed,the features of the infrequent "step" changes of well water level after the two earthquakes were also analyzed and the mechanism of the "step change" of well water level was discussed.Then the high-sample-rate digital observation data of seismically-induced water level fluctuations of the Sumatra-Andaman strong earthquakes with magnitude 8.7 and 8.5 recorded at Nanbin well,Sanya and Tanniu well,Wenchang were analyzed.The results suggest that the dominant period of the seismic well water level fluctuation in all three wells was comparatively accordant,the amplitudes of seismic water level fluctuation of the same earthquake in different wells were clearly different,the time duration of seismic water level fluctuations of different earthquakes at the same well was also clearly different.
基金sponsored by the special fund of“A Study on Short-term Seismic Tracking of Strong Earthquakes in the Yunnan Area”of the“Ten Key Projects”in Yunnan Provincethe 2016 Earthquake Trend Tracking Task of China Earthquake Administration(2016010305)the 2015 Earthquake Trend Tracking Task of Earthquake Administration of Yunnan Province
文摘In this paper,statistics are taken on the co-seismic response of underground fluid in Yunnan to the Nepal M_S8. 1 earthquake,and the co-seismic response characteristics of the water level and water temperature are analyzed and summarized with the digital data. The results show that the Nepal M_S8. 1 earthquake had greater impact on the Yunnan region,and the macro and micro dynamics of fluids showed significant co-seismic response. The earthquake recording capacity of water level and temperature measurement is significantly higher than that of water radon and water quality to this large earthquake; the maximum amplitude and duration of co-seismic response of water level and water temperature vary greatly in different wells. The changing forms are dominated by fluctuation and step rise in water level,and a rising or falling restoration in water temperature. From the records of the main shock and the maximum strong aftershock,we can see that the greater magnitude of earthquake,the higher ratio of the occurrence of co-seismic response,and in the same well,the larger the response amplitude,as well as the longer the duration. The amplitude and duration of co-seismic response recorded by different instruments in a same well are different. Water temperature co-seismic response almost occurred in wells with water level response,indicating that the well water level and water temperature are closely related in co-seismic response,and the well water temperature seismic response was caused mainly by well water level seismic response.
基金supported by the National Key Research and Development Program of China(funding no.2017YFC1502702)
文摘China experiences one of the most frequent flood disasters in the world.Establishing accurate and reliable flood prediction program is the key to deal with flood disasters.Nanshui Reservoir Basin,in southern China,belongs to subtropical monsoon climate,with more rain in spring,concentrated rainstorm in summer and typhoon storm in autumn.Floods at dam site are mostly small and medium-sized floods with steep rise and slow fall as typical mountain flood.In order to explore the applicability of Liuxihe model in flood prediction of Nanshui Reservoir,this paper builds up Liuxihe model for Nanshui Reservoir based on DEM,land use and soil type data,and selects a typical flood event to optimize the parameters using particle swarm optimization(PSO)algorithm and verifies the accuracy of the model by simulating the other floods.Liuxihe model established in this paper indicates a satisfactory performance for flood prediction for Nanshui Reservoir,which can meet the accuracy requirement of flood prediction.Finally,the effects of different river grading and PSO algorithm on flood prediction are discussed.The results show that the PSO algorithm can obviously improve the accuracy of the Liuxihe model for flood forecast in Nanshui Reservoir.The simulation based on four-level channel grading has better results than that based on three-level channel,which indicates increased peak flood value,delayed peak time and closer simulation to the measured value.
