Detecting Pipeline Leakage in Long-Distance Water Transmission: Case Study in Liaoning Province, China

Abstract

<p>Pipeline leakage inevitably occurs in the long-distance water transmission process. If a leak cannot be identified and processed promptly, it can cause severe economic losses or environmental pollution. This paper proposes a method to evaluate pipeline leakages in long-distance water transmission. The pipeline located in Liaoning Province was selected; it is 63.97-km long and runs from west Shenyang to Liaoyang city. Flowrate time-series data were obtained from two flowrate stations; the data were measured using ultrasonic flowmeters. The variance and mean values of flowrate time-series data were determined and used to evaluate whether pipeline leakage occurs. A Chi-Square test was used to test if the variance of a flowrate time-series was equal to a specified value. The results indicate the following: (1) the method of variance test can be used to evaluate whether the pipeline operation is abnormal or not; (2) when the variance test on time series data of flowrate is abnormal for more than two days, the pipeline leakage situation can be evaluated; (3) the combination of the variance test and the mean value analysis can help locate the leak position, which provides a reference for site personnel. The method proposed in this paper can detect pipeline leakage in a timely manner, and further ensure normal water transmission operation in many cities downstream.</p>

Evaluation on the Forecast Skills of Precipitation and Its Influencing Factors in the Flood Season in Liaoning Province of China

“…Severe floods frequently occur in Northeast China, which may cause huge socioeconomic losses [1,2], such as the flood in the Songliao River Basin in 1995, the flood in the Songneng River Basin in 1998, and the mega-flood in the Raoyang River Basin in 2022. In terms of short-term forecasts, a strong indication of the forthcoming flash flood could have been provided at least 2 days in advance based on the WRF-based HEC-HMS-simulated flood peak [3].…”

Leakage Diffusion Modeling of Key Nodes of Gas Pipeline Network Based on Leakage Concentration

“…This study contributes to our understanding of the dynamics of gas diffusion in buildings and provides valuable information for safety assessments and mitigation strategies. Li et al [17] utilized computational fluid dynamics (CFDs) simulation software to model and analyze various leakage processes in underground pipelines within urban areas. The study aimed to understand the flow characteristics of diffusing natural gas in different scenarios and assess the potential consequences of gas leakage accidents.…”