| 苏06井不同深度水温变化特征 |
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| 引用本文： | 陈健,仇中阳,刘江斌,李松华,李子威,杨彦兵.苏06井不同深度水温变化特征[J].地震地磁观测与研究,2017,38(6):64-71. |
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| 作者姓名： | 陈健 仇中阳 刘江斌 李松华 李子威 杨彦兵 |
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| 作者单位： | 1.中国江苏 223001 淮安地震台;2.中国江苏 223001 淮安市地震局 |
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| 基金项目： | 中国地震局监测、预测、科研三结合课题中震测函[2017]2号（课题编号：CEA-JC/3JH-161004） |
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| 摘 要： | 根据2008—2016年苏06井400 m和800 m深度的水温观测数据,分析不同深度的水温年变速率及日变曲线形态,并运用差值、水温梯度的小波变换方法,对2个不同深度的水温变化特征进行分析,发现:苏06井不同深度水温的长期变化与水位变化具有一定同步性,事实上水位变化起主导作用,构造引起水位变化使不同深度水温的表现不同,对周围近距离显著地震发生有一定意义;从短期变化看,不同深度水温之间很少出现同步变化;400 m深度水温异常信号频度及强度高于800 m深度水温异常信号。
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| 关 键 词： | 水温 长期变化 短期变化 小波分析 |
Characteristics of water temperature variation at different depths in Su 06 well |
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| Chen Jian,Qiu Zhongyang,Liu Jiangbin,Li Songhua,Li Ziwei,Yang Yanbing.Characteristics of water temperature variation at different depths in Su 06 well[J].Seismological and Geomagnetic Observation and Research,2017,38(6):64-71. |
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| Authors: | Chen Jian Qiu Zhongyang Liu Jiangbin Li Songhua Li Ziwei Yang Yanbing |
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| Institution: | 1. Huaian Seismic Station, Jiangsu Province 223001, China;2. Huaian Earthquake Agency, Jiangsu Province 223001, China |
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| Abstract: | According to the water temperature observation data at two different depth of 400m and 800m in Su 06 well, the annual change rates and diurnal variation curves of water temperature in different depth are analyzed. And using wavelet transform method, the difference of temperature gradients in two different depth are studied. It is found to that the long-term change of water level and water temperature in different depth in Su 06 well are synchronous, and the water level changes in fact plays a leading role. The water level changes caused by tectonism elicit different water temperature changes at different depth, showing some significance to the remarkable earthquakes occurred around short distance. Short-term variation, synchronous changes rarely occur between the water temperatures at different depth. The frequency and intensity of temperature anomaly signal of 400 m is higher than that at 800 m. |
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| Keywords: | water temperature long-term changes short-term changes wavelet analysis |
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