Safety Assessment of Channel Seepage by Using Monitoring Data and Detection Information

Mengdie Zhao, Chao Zhang, Shoukai Chen and Haifeng Jiang
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Mengdie Zhao: School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Chao Zhang: School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Shoukai Chen: School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Haifeng Jiang: College of Water Conservancy and Electric Power, Hohai University, Nanjing 210024, China

Sustainability, 2022, vol. 14, issue 14, 1-21

Abstract: Seepage analysis has always been the focus of channel safety and stability research. Establishing a diagnosis method based on osmotic pressure monitoring data and combining the detection information to achieve osmotic safety is also an effective way to ensure the safety and stability of osmotic engineering. In this paper, a high-fill channel section of a water diversion project is taken as an example, and the study of osmotic safety is carried out by analyzing the engineering characteristics of linear engineering. High-fill channel sections were selected to study the temporal and spatial characteristics of various monitoring data reflecting the osmotic behavior of linear engineering; that is, these data reflect the time-varying regularity characteristics of the osmotic pressure value and the changing regularity of environmental variables. A single-point multifactor model of the monitoring data was established by establishing an evaluation index system, combining the monitoring index value method and the cloud model theory method according to the distribution law of the measured data and considering the uncertainty of the osmotic pressure data. Additionally, this model was integrated with the set pair analysis method to determine the monitoring data evaluation level; channel detection data information was collected, the abnormal detection of detection information was realized, and the monitoring data results were used to verify the detection results. In this way, an adaptive evaluation method reflecting the working behavior of high-filled channel sections is established, and a diagnostic technology for the safe operation of high-filled channel sections of linear engineering is proposed. The application results show that this method is suitable for engineering an osmotic safety assessment.

Keywords: linear engineering high-fill channel section; set pair analysis; monitoring index value method; cloud model theory; detection information; monitoring data (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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