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首页> 外文期刊>Journal of Hydroinformatics >Recognizing factors affecting decline in ground water level using wavelet-entropy measure (case study: Silakhor plain aquifer)
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Recognizing factors affecting decline in ground water level using wavelet-entropy measure (case study: Silakhor plain aquifer)

机译：利用小波熵测度识别影响地下水位下降的因素（案例研究：Silakhor平原含水层）

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摘要

The most important approach to identify the behavior of hydrological processes is time series analysis of this process. Wavelet-entropy measure has been considered as a criterion for the degree of time series fluctuations and consequently uncertainty. Wavelet-entropy measure reduction indicates the reduction in natural time series fluctuations and thus, the occurrence of an unfavorable trend in time series. In this way, to identify the main cause of declining aquifer water level in the Silakhor plain, monthly time series of rainfall, temperature and output discharge were divided into three different time periods. Then, these time series were decomposed to multiple frequent time series by wavelet transform and then, the wavelet energies were computed for these decomposed time series. Finally, wavelet-entropy measure was computed for each different time period. Given the entropy reduction of about 71, 13 and 10.5% for discharge, rainfall and temperature time series respectively, it can be concluded that fluctuation decrease of discharge time series has relatively more effect on groundwater level oscillation patterns with respect to the rainfall and temperature time series. In this regard, it could be concluded that the climate change factors are not facing significant changes; thus, human activities can be regarded as the main reason for the declining groundwater level in this plain.
机译：识别水文过程行为的最重要方法是对该过程进行时间序列分析。小波熵测度已被视为时间序列波动和不确定性程度的标准。小波熵测度的减少表明自然时间序列波动的减少，因此，出现了时间序列的不利趋势。通过这种方式，为了确定西拉霍平原含水层水位下降的主要原因，将降雨，温度和输出流量的每月时间序列划分为三个不同的时间段。然后，通过小波变换将这些时间序列分解为多个频繁时间序列，然后针对这些分解后的时间序列计算出小波能量。最后，针对每个不同的时间段计算小波熵测度。考虑到排放量，降雨和温度时间序列的熵分别降低约71％，13％和10.5％，可以得出结论，排放时间序列的波动性降低相对于降雨和温度时间对地下水位振荡模式的影响更大。系列。在这方面，可以得出结论，气候变化因素没有面临重大变化;因此，人类活动可以被认为是该平原地下水水位下降的主要原因。

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