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CG-5重力仪格值系数修正与应用研究 被引量:3
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作者 杨雅慧 刘洪良 +1 位作者 郝洪涛 张展伟 《华南地震》 2021年第4期63-68,共6页
在地表重力观测过程中,CG-5重力仪的格值系数会随着时间推移而发生变化。选用河北测区内2015-2017年相对重力观测数据,基于重力差法对两台编号为C859、C873的CG-5相对重力仪进行格值系数的误差计算及修正,研究其变化特征,并对修正前后... 在地表重力观测过程中,CG-5重力仪的格值系数会随着时间推移而发生变化。选用河北测区内2015-2017年相对重力观测数据,基于重力差法对两台编号为C859、C873的CG-5相对重力仪进行格值系数的误差计算及修正,研究其变化特征,并对修正前后不同时间尺度的重力场变化进行对比分析。结果表明:两台CG-5相对重力仪的格值系数在3年内存在不同程度的变化,均呈现整体上升的趋势,累计变化量分别为0.028%,0.034%;采用修正后的格值系数可得到点值精度更高的平差结果;不同时间尺度上的重力场变化相比修正前也出现明显差异,2017年河北大城ML3.6级地震发生在格值系数修正后0.5 a期重力变化零值线附近,这些结果表明了对CG-5重力仪进行格值系数修正的正确性和必要性。 展开更多
关键词 CG-5重力仪 河北测区 格值系数 误差修正 重力变化 零值线
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Measuring Social Vulnerability to Natural Hazards in Beijing-Tianjin-Hebei Region,China 被引量:2
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作者 HUANG Jianyi SU Fei ZHANG Pingyu 《Chinese Geographical Science》 SCIE CSCD 2015年第4期472-485,共14页
Social vulnerability in this study represents the differences between the capacity to cope with natural hazards and disaster losses suffered within and between places.The assessment of social vulnerability has been re... Social vulnerability in this study represents the differences between the capacity to cope with natural hazards and disaster losses suffered within and between places.The assessment of social vulnerability has been recognized as a critical step in understanding natural hazard risks and enhancing effective response capabilities.This article presents an initial study of the social vulnerability of the Beijing-Tianjin-Hebei(B-T-H) Region in China.The goal is to replicate and test the applicability of the United States Social Vulnerability Index(So VI) method in a Chinese cultural context.Thirty-nine variables adapted from the So VI were collected in relation to two aspects:socioeconomic vulnerability and built environment vulnerability.Using factor analysis,seven factors were extracted from the variable set:the structure of social development,the level of economic and government financial strength,social justice and poverty,family structure,the intensity of space development,the status of residential housing and transportation,and building structure.Factor scores were summed to get the final So VI scores and the most and least vulnerable units were identified and mapped.The highest social vulnerability is concentrated in the northwest of the study area.The least socially vulnerable areas are mainly distributed in the Beijing,Tianjin and Shijiazhuang core urban peripheral and central city areas of the prefecture-level cities.The results show that this method is a useful tool for revealing places that have a high level of vulnerability,in other words,areas which are more likely to face significant challenges in coping with a large-scale event.These findings could provide a scientific basis for policy making and the implementation of disaster prevention and mitigation in China. 展开更多
关键词 natural hazards social vulnerability factor analysis Beijing-Tianjin-Hebei Region
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