考虑气象因素影响的大坝监测沉降小波分析

为了消除大坝沉降监测数据受温度、湿度及光照等气象因素及外界不确定因素的噪声响应，提出考虑气象因素影响的大坝监测沉降小波分析方法。首先建立原始监测数据与各气象因素的函数关系，进而消去气象因素对坝体沉降的影响，然后采用小波分析对监测数据进行去噪处理，最后得到大坝真实的荷载响应沉降曲线，为大坝稳定性评价提供依据。实例应用表明，考虑气象因素影响的大坝监测沉降小波分析方法能有效地去除气象因素及外界不确定因素引起的噪声响应，比小波直接去噪法效果更佳，与数值模拟计算值能较好地吻合，具有更好的实际应用价值。

Wavelet analysis of monitoring dam settlement considering effects of meteorological factors

The monitoring data of dam settlement are usually disturbed by uncertain factors and meteorological factors such as temperature, air humidity and light intensity. In order to remove those factors, a new method of wavelet analysis considering the effects of meteorological factors for dam settlement is proposed. Firstly, the functional relation between the monitoring data and the meteorological factors is established. And then based on the functional relation, the effects of meteorological factors on the monitoring data of dam settlement can be removed. Finally, based on the de-noising process of monitoring data by wavelet analysis, a dam settlement curve that is close to the practical situation can be obtained, which can provide dam stability evaluation with scientific basis. The results show that the new method of wavelet analysis considering the effects of meteorological factors is better than the method of direct wavelet analysis; and it can effectively remove noise signal caused by meteorological factors and other uncertain factors; and the dam settlement processed in this method agrees well with the numerical simulation results; and it has better feasibility and practical application value.