Inversion method for soil moisture content based on a distributed fiber optic acoustic sensing system

Author:

Shang Ying1,He QiujieORCID,Huang Sheng2,Wang Jiawen,Wang Meikun,Li Di,Wang Weitao,Liu Guangqiang1ORCID,Wan Na3,Liu Shouling4,Yao Chunmei5,Qu Shuai,Wang ChenORCID

Affiliation:

1. Qufu Normal University

2. Harbin Engineering University

3. Jinan Municipal Engineering Design Group

4. Jinan Chengtou Drainage Group

5. Shandong Provincial Territorial Spatial Ecological Restoration Centers

Abstract

The traditional measurement method can’t achieve real-time monitoring of soil moisture content (SMC) within a two-dimensional area. To solve the above problems, we propose a rapid SMC monitoring method for two-dimensional area based on distributed acoustic sensing (DAS). DAS demodulates the backward Rayleigh scattering signal containing seismic wave sound velocity information from the active seismic source. The folding ruler approximation is employed to calculate the sound velocity of the soil, which is then inverted to determine the soil moisture content. The experiment measured the soil within a two-dimensional area formed by the seismic source and the acoustic sensing optical cable. The sensing optical cable and the active seismic source are organized into a two-dimensional area and the measurement range is 3 × 10 m with 33 points. The SMC ranges from 15% to 40%. The experiment shows that the absolute error between the measured values obtained by DAS and the water cut meter is 7%. This experiment verifies the feasibility of using the Rayleigh scattering properties to invert SMC and provides a new method for real-time monitoring of SMC in a large area.

Funder

National Natural Science Foundation of China

Key R&D Program of Shandong Province

Taishan Scholars Program

Colleges and Universities Youth Innovation and Technology Support Program of Shandong Province

Joint Natural Science Foundation of Shandong Province

Innovation Project of Science and Technology SMES in Shandong Province

Science, education and industry integration innovation pilot project of Qilu University of Technology

Innovation project of Computer Science and Technology of Qilu University of Technology

Publisher

Optica Publishing Group

Subject

Atomic and Molecular Physics, and Optics

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