Wavelet denoising and cubic spline interpolation for observation data in groundwater pollution source identification problems
Wavelet denoising and cubic spline interpolation for observation data in groundwater pollution source identification problems
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地下水污染源识别问题中观测数据的小波去噪与三次样条插值
DOI：
10.2166/ws.2019.013
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发表时间：
2019-08
影响因子：
--
通讯作者：
Chu Haibo
中科院分区：
文献类型：
--
作者：
Zhao Ying;Fu Qiang;Lu Wenxi;Ji Yi;Chu Haibo
由于地下水污染源识别（GPSI）的识别结果会影响污染者为修复地下水资源而支付的费用，因此尽可能提高估算结果的准确性至关重要。然而，许多因素会影响结果，如噪声浓度数据和不完整的浓度数据。因此，本文旨在研究使用去噪和插值前后的观测数据解决GPSI问题的差异。设计了4种噪声水平和20组缺失数据，分别测试了小波去噪和三次样条插值的性能。结果表明，去噪过程可以改善GPSI问题的估计结果，噪声水平越高，这种效果越强。在插值方面，如果缺失的数据属于污染源排放污染物之后的时间段，则插值后可以得到更精确的结果。如果缺失的数据来自污染源活跃时，插值不能帮助提高估计性能。
As the identified results of groundwater pollution source identification (GPSI) can influence the cost for the polluter in paying for remediating groundwater resources, it is important that the accuracy of the estimated result should be as high as possible. However, many factors can influence the result, such as noisy concentration data and incomplete concentration data. Thus, this paper is aimed at studying the difference between using the observation data before and after denoising and interpolating for solving GPSI problems. Four kinds of noise level and 20 groups of missing data were designed to test the performance of wavelet denoising and cubic spline interpolation, respectively. The results show that the denoising process can improve the estimated result for the GPSI problem, and the higher the noise level, the stronger this effect. In terms of interpolation, more accurate results can be made after interpolating if the missing data belong to the period after the source releases the pollutant. If the missing data are from when the pollution source is active, interpolation cannot help increase the estimated performance.
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DOI：
10.1061/(asce)0733-9496(2004)130:6(506
发表时间：
2004-10
影响因子：
3.1
作者：
R. Singh;B. Datta;Ashu Jain
通讯作者：
R. Singh;B. Datta;Ashu Jain
影响因子：
5.4
作者：
T. Skaggs;Z. Kabala
通讯作者：
T. Skaggs;Z. Kabala
影响因子：
1.8
作者：
Atmadja, J;Bagtzoglou, AC
通讯作者：
Bagtzoglou, AC
影响因子：
5.3
作者：
Lakshminarayan, K;Harp, SA;Samad, T
通讯作者：
Samad, T
影响因子：
5.4
作者：
G. Pinder;J. Bredehoeft
通讯作者：
G. Pinder;J. Bredehoeft