探地雷达探测季节性冻土的正演模拟

doi:10.11720/wtyht.2018.1458

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Abstract

With the change of season, the physical parameters in the process of freezing and thawing in active layer of seasonal frozen soil region change significantly. Taking the seasonal frozen soil in Northeast China as an example, the authors used the Gaussian distribution rough surfaces to simulate the rough freezing and melting layers, established the random media model which can accurately described heterogeneity of the active layers, and carried out forward modeling. The results show that the depth of freezing and melting layers changes with the seasons, together with the change of permittivity and conductivity. The scattered waves in radar profile are very developed because of the heterogeneous active layer and the undulating freezing and melting layers. With the change of time, the greater the fluctuation of the melting layer, the stronger the scattered wave energy in the radar profile, the harder the reflection of the melting and the freezing layers. At the same time, it is proved that the application of GPR to monitor the seasonal variation, frozen depth and melting depth of seasonal frozen soil is a practical method.

Key words： seasonal frozen soil ground penetrating radar random media rough surfaces scattered wave

Received: 25 September 2017 Published: 24 October 2018

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	Articles by authors
	Er-Qiao SONG
	Si-Xin LIU
	Rong-Qin HE
	Jia-Qi CAI
	Kun LUO

Cite this article:

Er-Qiao SONG,Si-Xin LIU,Rong-Qin HE, et al. Forward modeling on the seasonal frozen soil region detection by ground penetrating radar[J]. Geophysical and Geochemical Exploration, 2018, 42(5): 962-969.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2018.1458 OR https://www.wutanyuhuatan.com/EN/Y2018/V42/I5/962

模型编号	平均冻深/m	平均融深/m	层数	平均相对介电常数	$σ mS / m$
1	0	0	Ⅰ	16.0	0.018
2	0.65	0	Ⅰ	10.0	0.01
			Ⅱ	16.0	0.018
3	0.98	0	Ⅰ	9.0	0.008
			Ⅱ	16.0	0.018
4	1.60	0	Ⅰ	8.0	0.002
			Ⅱ	16.0	0.018
5	1.67	0	Ⅰ	8.0	0.002
			Ⅱ	16.0	0.018
6	1.60	0.41	Ⅰ	9.0	0.008
			Ⅱ	12.0	0.0125
			Ⅲ	16.0	0.018
7	1.48	0.98	Ⅰ	16.0	0.018
			Ⅱ	10.0	0.01
			Ⅲ	16.0	0.018
8	0	0	Ⅰ	16.0	0.018

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