DeSilva D, Burn S, Tjandraatmadja G, Moglia M, Davis P, Wolf L, Held I, Vollertsen J, Williams W, Hafskjold L
CSIRO Manufacturing & Infrastructure Technology, Highett, Victoria, Australia.
Water Sci Technol. 2005;52(12):189-98.
Wastewater pipeline leakage is an emerging concern in Europe, especially with regards to the potential effect of leaking effluent on groundwater contamination and the effects infiltration has on the management of sewer reticulation systems. This paper describes efforts by Australia, in association with several European partners, towards the development of decision support tools to prioritize proactive rehabilitation of wastewater pipe networks to account for leakage. In the fundamental models for the decision support system, leakage is viewed as a function of pipeline system deterioration. The models rely on soil type identification across the service area to determine the aggressiveness of the pipe environment and for division of the area into zones based on pipe properties and operational conditions. By understanding the interaction between pipe materials, operating conditions, and the pipe environment in the mechanisms leading to pipe deterioration, the models allow the prediction of leakage rates in different zones across a network. The decision support system utilizes these models to predict the condition of pipes in individual zones, and to optimize the utilization of rehabilitation resources by targeting the areas with the highest leakage rates.
污水管道泄漏在欧洲是一个新出现的问题,特别是泄漏的污水对地下水污染的潜在影响以及渗入对下水道管网管理的影响。本文介绍了澳大利亚与几个欧洲伙伴合作,开发决策支持工具以优先对污水管网进行主动修复以应对泄漏的努力。在决策支持系统的基本模型中,泄漏被视为管道系统恶化的一个函数。这些模型依靠对整个服务区土壤类型的识别来确定管道环境的侵蚀性,并根据管道特性和运行条件将该区域划分为不同区域。通过了解导致管道恶化的机制中管道材料、运行条件和管道环境之间的相互作用,这些模型能够预测整个管网不同区域的泄漏率。决策支持系统利用这些模型预测各个区域管道的状况,并通过针对泄漏率最高的区域来优化修复资源的利用。