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基于地震背景噪声监测山东临沂地区地下水位变化
顾悦1, 裴烁瑾1, 梁姗姗2, 樊春燕2, 周元泽1
1.中国科学院大学, 地球与行星科学学院, 北京 100049;2.中国地震台网中心, 北京 100045
摘要:
选取山东省临沂地区的JUN与JUX台站数据资料,运用背景噪声互相关技术计算了2009年1月1日—2011年1月1日台站对间的互相关函数,利用移动窗互谱法计算相对速度变化,并分析其与莒县气象观测站记录的降水和莒南鲁14号井记录的地下水水位变化的关联性。研究结果表明,区域降水呈季节性变化,夏季降水量大,冬季降水量小;地下水水位呈季节性变化,初夏季水位较低,随后水位值逐渐增加,初冬季水位较高,随后水位值逐渐减少;地下介质速度变化亦具有季节性特征,变化幅度约为±0.2%,与水位变化呈一定的负相关趋势,即夏季水位增加、相对速度变化降低,冬季水位减少、相对速度变化升高。
关键词:  临沂地区  地震背景噪声  互相关  速度变化  地下水水位
DOI:
分类号:P315
基金项目:国家自然科学基金(42074103)资助
Monitoring of Groundwater Level Change by Seismic Ambient Noise Method in Linyi Area of Shandong Province
Gu Yue1, Pei Shuojin1, Liang Shanshan2, Fan Chunyan2, Zhou Yuanze1
1.College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China;2.China Earthquake Networks Center, Beijing 100045, China
Abstract:
By using the data from JUN and JUX stations in Linyi area of Shandong Province, in this paper we calculate the cross-correlation function between stations from January 1, 2009 to January 1, 2011 by applying seismic ambient noise cross-correlation technique, and then calculate the relative velocity variation by applying the moving window cross spectrum method, and finally analyze the precipitation recorded by Juxian meteorological observation station and the groundwater level change recorded by Junan Lu No.14 well in between the two stations. The results show that the regional precipitation changes seasonally, with relatively high precipitation in summer and relatively low precipitation in winter. The groundwater level changes seasonally too, in which the water level is low in early summer and then increases gradually. The groundwater level is relatively high in early winter and then decreases gradually. On the other hand, underground medium velocity also seasonally changes with the variation amplitude of about ±0.2%, which has a certain negative correlation with the water level change, i.e., the groundwater level is higher in summer than that in winter with the decrease of the variations of relative velocity decreases, and vice versa.
Key words:  Linyi area  Seismic ambient noise  Cross-correlation  Speed variations  Groundwater level