Based on digital seismic waveform data from Inner Mongolia Digital Seismic Network,the source spectrum parameters of 182 small and moderate earthquakes from January,2009to September,2016 are derived,and the seismic mo...Based on digital seismic waveform data from Inner Mongolia Digital Seismic Network,the source spectrum parameters of 182 small and moderate earthquakes from January,2009to September,2016 are derived,and the seismic momentmoment magnitude MW of the earthquakes are calculated.Theand the relationship between stress drop and magnitude are obtained using the linear regression method.It is clear that incorporating the moment magnitude into the seismic quick report catalog and the official earthquake catalog can enrich earthquake observation report content,thus providing better service for earthquake emergency and earthquake scientific research.展开更多
The terrain of Inner Mongolia is long and narrow, and the geological structure is complicated. The South China crustal velocity model and Inner Mongolias optimal crustal velocity model 2015 cannot fully meet the ear...The terrain of Inner Mongolia is long and narrow, and the geological structure is complicated. The South China crustal velocity model and Inner Mongolias optimal crustal velocity model 2015 cannot fully meet the earthquake location requirements of Inner Mongolia. Based on the seismological observations produced by Inner Mongolia Seismic Digital Network from 2009 to 2016,the initial model was obtained by using the linear fit of the seismic phases and the converted travel time curve. The Hyposat results of 225 earthquakes that occurred in western Inner Mongolia were scanned using this model,and the velocity model for western Inner Mongolia was determined as follows: V1= 6. 06 km/s;VPb= 6. 61 km/s; Vn= 8. 12 km/s; H1= 30 m; and the Moho depth H = 44 km. Comparison of the test results of the new model and the reference model shows that the residual error of the new model and the mean deviation of the epicenter location have obviously decreased.展开更多
2022年7月内蒙古中西部地区降水明显偏少,且呈前期偏多、后期偏少的涝—旱转折性分布特征,分析不同阶段环流分布差异和影响系统间的配置对进一步做好内蒙古汛期降水预测具有重要作用。利用内蒙古116站逐日降水量、国家气候中心130项气...2022年7月内蒙古中西部地区降水明显偏少,且呈前期偏多、后期偏少的涝—旱转折性分布特征,分析不同阶段环流分布差异和影响系统间的配置对进一步做好内蒙古汛期降水预测具有重要作用。利用内蒙古116站逐日降水量、国家气候中心130项气候指数、美国国家环境预报中心/国家大气科学研究中心(National Center for Enviromental Prediction/National Center for Atmospheric Research,NCEP/NCAR)逐日再分析资料和美国国家海洋和大气管理局(National Oceanic and Atmospheric Admin⁃istration,NOAA)逐月海表温度资料,分析2022年7月内蒙古中西部地区涝-旱转折事件的成因。结果表明:(1)2022年7月内蒙古中西部地区降水量严重偏少,为该地区1991年以来同期降水最少、气象干旱最为严重。(2)7月1—11日降水相对偏多,冷空气路径偏北且强度较弱,西太平洋副热带高压强度偏弱,位置偏北、偏西,冷暖空气在内蒙古中西部地区交绥,加之这一时段高空西风急流位置偏北,内蒙古中西部位于急流轴以南,有利于高层辐散和上升运动发展。7月12—31日降水明显偏少,环流经向度加大,冷空气活动路径偏南且强度增强,西太平洋副热带高压强度偏强且位置明显偏南,不利于水汽输送,加之高空西风急流位置偏南,内蒙古中西部位于急流轴以北,不利于高层辐散和上升运动发展;7月中旬后期至下旬高空西风急流南北向扰动偏强有利于激发东亚—西北太平洋经向遥相关波列,使得西太平洋副热带高压位置偏南从而导致降水偏少。(3)日本海至北太平洋西北部地区的海温异常是影响内蒙古中西部地区降水多寡的重要外强迫信号之一。2022年7月该海区海温异常偏高,其上空激发的气旋式环流减弱了南方暖湿水汽的经向输送,是导致内蒙古中西部降水由涝转旱的原因之一。展开更多
为明确内蒙古中西部地区臭氧(O_(3))污染的天气形势分型及气象要素阈值,采用斜交旋转主成分分析法(obliquely rotated Principal Components in T-mode,PCT)对2015—2021年该地区6个盟市的O_(3)污染过程进行了地面及高空环流形势分析,...为明确内蒙古中西部地区臭氧(O_(3))污染的天气形势分型及气象要素阈值,采用斜交旋转主成分分析法(obliquely rotated Principal Components in T-mode,PCT)对2015—2021年该地区6个盟市的O_(3)污染过程进行了地面及高空环流形势分析,并结合典型O_(3)污染个例,探讨了天气形势、气象要素与O_(3)污染间的关系。结果表明,内蒙古中西部地区O_(3)污染过程在500 hPa环流场中可分为3种类型:脊前西北气流型、平直西风型、高压脊型;在海平面气压场中可分为4种类型:均压场型、低压控制型、高压南部型、低压前部型。环流配置可分为5种类型:高压脊—均压场型、脊前西北气流—低压控制型、平直西风—高压南部型、脊前西北气流—低压南部型、脊前西北气流—均压场型。阿拉善、乌海地区O_(3)超标主要为平直西风—高压南部型,而其他城市多为脊前西北气流—低压控制型。这两种大气环流配置是发生O_(3)污染的主要气象条件。典型区域性O_(3)污染通常发生在特定大气环流形势下,边界层存在逆温层时,逆温强度越强,垂直扩散条件越差,不利于近地面污染物的扩散。气象要素如地面最高气温、日照时数和平均相对湿度对O_(3)污染均有影响。在干燥地区如阿拉善、乌海和巴彦淖尔,O_(3)质量浓度超标时,最高气温通常不低于30℃,日照时数不少于10 h;而相对湿润地区如鄂尔多斯、包头和呼和浩特,O_(3)质量浓度超标时,最高气温通常不低于27℃,日照时数不少于8 h。此外,当风向为西南、南、东南,风速为2.0~5.0 m·s^(-1)时,易发生O_(3)污染。展开更多
基金sponsored by the Major Science and Technology Projects in Inner Mongolia Autonomous Region “Research,Development,Popularization and Demonstration of Earthquake Prediction and Early Warning Technology in Key Areas”
文摘Based on digital seismic waveform data from Inner Mongolia Digital Seismic Network,the source spectrum parameters of 182 small and moderate earthquakes from January,2009to September,2016 are derived,and the seismic momentmoment magnitude MW of the earthquakes are calculated.Theand the relationship between stress drop and magnitude are obtained using the linear regression method.It is clear that incorporating the moment magnitude into the seismic quick report catalog and the official earthquake catalog can enrich earthquake observation report content,thus providing better service for earthquake emergency and earthquake scientific research.
基金jointly funded by “Research,Development,Demonstration and Promotion Pilot Project of Earthquake Prediction and Early Warning Technology in Key Earthquake Areas” of the Science and Technology Major Projects of Inner Mongolia
文摘The terrain of Inner Mongolia is long and narrow, and the geological structure is complicated. The South China crustal velocity model and Inner Mongolias optimal crustal velocity model 2015 cannot fully meet the earthquake location requirements of Inner Mongolia. Based on the seismological observations produced by Inner Mongolia Seismic Digital Network from 2009 to 2016,the initial model was obtained by using the linear fit of the seismic phases and the converted travel time curve. The Hyposat results of 225 earthquakes that occurred in western Inner Mongolia were scanned using this model,and the velocity model for western Inner Mongolia was determined as follows: V1= 6. 06 km/s;VPb= 6. 61 km/s; Vn= 8. 12 km/s; H1= 30 m; and the Moho depth H = 44 km. Comparison of the test results of the new model and the reference model shows that the residual error of the new model and the mean deviation of the epicenter location have obviously decreased.
文摘2022年7月内蒙古中西部地区降水明显偏少,且呈前期偏多、后期偏少的涝—旱转折性分布特征,分析不同阶段环流分布差异和影响系统间的配置对进一步做好内蒙古汛期降水预测具有重要作用。利用内蒙古116站逐日降水量、国家气候中心130项气候指数、美国国家环境预报中心/国家大气科学研究中心(National Center for Enviromental Prediction/National Center for Atmospheric Research,NCEP/NCAR)逐日再分析资料和美国国家海洋和大气管理局(National Oceanic and Atmospheric Admin⁃istration,NOAA)逐月海表温度资料,分析2022年7月内蒙古中西部地区涝-旱转折事件的成因。结果表明:(1)2022年7月内蒙古中西部地区降水量严重偏少,为该地区1991年以来同期降水最少、气象干旱最为严重。(2)7月1—11日降水相对偏多,冷空气路径偏北且强度较弱,西太平洋副热带高压强度偏弱,位置偏北、偏西,冷暖空气在内蒙古中西部地区交绥,加之这一时段高空西风急流位置偏北,内蒙古中西部位于急流轴以南,有利于高层辐散和上升运动发展。7月12—31日降水明显偏少,环流经向度加大,冷空气活动路径偏南且强度增强,西太平洋副热带高压强度偏强且位置明显偏南,不利于水汽输送,加之高空西风急流位置偏南,内蒙古中西部位于急流轴以北,不利于高层辐散和上升运动发展;7月中旬后期至下旬高空西风急流南北向扰动偏强有利于激发东亚—西北太平洋经向遥相关波列,使得西太平洋副热带高压位置偏南从而导致降水偏少。(3)日本海至北太平洋西北部地区的海温异常是影响内蒙古中西部地区降水多寡的重要外强迫信号之一。2022年7月该海区海温异常偏高,其上空激发的气旋式环流减弱了南方暖湿水汽的经向输送,是导致内蒙古中西部降水由涝转旱的原因之一。
文摘为明确内蒙古中西部地区臭氧(O_(3))污染的天气形势分型及气象要素阈值,采用斜交旋转主成分分析法(obliquely rotated Principal Components in T-mode,PCT)对2015—2021年该地区6个盟市的O_(3)污染过程进行了地面及高空环流形势分析,并结合典型O_(3)污染个例,探讨了天气形势、气象要素与O_(3)污染间的关系。结果表明,内蒙古中西部地区O_(3)污染过程在500 hPa环流场中可分为3种类型:脊前西北气流型、平直西风型、高压脊型;在海平面气压场中可分为4种类型:均压场型、低压控制型、高压南部型、低压前部型。环流配置可分为5种类型:高压脊—均压场型、脊前西北气流—低压控制型、平直西风—高压南部型、脊前西北气流—低压南部型、脊前西北气流—均压场型。阿拉善、乌海地区O_(3)超标主要为平直西风—高压南部型,而其他城市多为脊前西北气流—低压控制型。这两种大气环流配置是发生O_(3)污染的主要气象条件。典型区域性O_(3)污染通常发生在特定大气环流形势下,边界层存在逆温层时,逆温强度越强,垂直扩散条件越差,不利于近地面污染物的扩散。气象要素如地面最高气温、日照时数和平均相对湿度对O_(3)污染均有影响。在干燥地区如阿拉善、乌海和巴彦淖尔,O_(3)质量浓度超标时,最高气温通常不低于30℃,日照时数不少于10 h;而相对湿润地区如鄂尔多斯、包头和呼和浩特,O_(3)质量浓度超标时,最高气温通常不低于27℃,日照时数不少于8 h。此外,当风向为西南、南、东南,风速为2.0~5.0 m·s^(-1)时,易发生O_(3)污染。
