| 井水温度动态变化分析—以云南丽江党校井为例 |
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| 引用本文： | 杨竹转,邓志辉,邓盛昌,杨跃文,陶京岺.井水温度动态变化分析—以云南丽江党校井为例[J].地震学报,2018,40(2):172-184. |
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| 作者姓名： | 杨竹转 邓志辉 邓盛昌 杨跃文 陶京岺 |
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| 作者单位： | 1.中国北京 100029 中国地震局地质研究所 |
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| 基金项目： | 中央公益性科研院所基本科研业务专项（IGCEA1418）资助 |
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| 摘 要： | 以云南丽江党校井为例，分析了水温基本动态和同震变化特征，并对水温前兆异常变化进行了讨论。基本动态方面，水温水位的对比分析和井温梯度结构显示，党校井的温度探头位于井孔水体与含水层连通的主要部位，含水层中补给水的温度较低，水温动态主要受水位泄流状态和水位变化的影响；同震方面，在水位均为振荡的情况下，水温同震变化形态在不同的泄流状态下存在明显的差异，自流期间为上升—下降—恢复型，非自流期间为下降—上升—恢复型，同震变化反映出的温度探头放置位置和低温水源补给的认识与基本动态分析获得的认识相一致；前兆方面，党校井的水位动态受降雨的趋势性影响，温度探头所在处的地下水体活动剧烈，水温动态前兆变化特征不明显。
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| 关 键 词： | 水温变化 水位 井温梯度 同震变化 前兆 |
| 收稿时间： | 2017-07-12 |
Analysis on the dynamic variations of well water temperature: With example of the Dangxiao well in Lijiang area,Yunnan Province |
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| Affiliation: | 1.Institute of Geology，China Earthquake Administration，Beijing 100029，China2.Guangdong Earthquake Agency，Guangzhou 510070，China3.Lijiang City Earthquake Agency，Yunnan Lijiang 674100，China4.Lijiang Seismic Station，Yunnan Earthquake Agency，Yunnan Lijiang 674100，China |
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| Abstract: | With example of the Dangxiao well in Lijiang city of Yunnan Province, we analyzed the basic and coseismic variations of the water temperature, and discussed the possible precursory anomalies. As for the basic variation of water temperature and water level in the Dangxiao well, the comparison results combined with the well water temperature gradient show that, the temperature sensor in the Dangxiao well is located at the main section where the well water intersects with the aquifer, and the recharging source is relatively cold. The water temperature variation is mainly affected by the discharge status and the variation of water level. As for the coseismic variations of the water temperature in the Dangxiao well, when the coseismic variation of water level displays as oscillating, it shows obvious differences, displaying as ascending?descending?recorvering during artesian status and descending?ascending?recovering during non-artesian status. The coseismic variations of water temperature also verify the location of water temperature sensor and cold source recharging, which is consistent with the conclusion obtained from analysis of the basic variation aspect. As for the precursory variations, the water level variations in the Dangxiao well are influenced by the tendency of rainfall, and the strong water activity could be found at the location of the temperature sensor in the Dangxiao well, which may suppress the precursor information to some extent, so it is hard to find evident precursor in the water temperature variation. |
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