Lead pipes, despite bans dating back decades, still supply millions of US households with drinking water. They bring risks of corrosion and leaching that can cause developmental and neurological effects in young children.
One common abatement is to dig up old lead lines and replace a portion of them with another metal, such as copper. However, this technique can dislodge lead particulates and release them into the water supply. Furthermore, partially replacing the lead pipe connection instead of entirely exchanging poses problems.
Engineers at Washington University in St. Louis have developed a new way to model and track where lead particles might be transported during the partial-replacement process, in an effort to keep the water supply safer.
“We all know lead is not safe, it needs to go,” says Pratim Biswas, professor and the chair of Energy, Environmental and Chemical Engineering at the School of Engineering & Applied Science. “This is the first comprehensive model that works as a tool to help drinking-water utility companies and others to predict the outcome of an action. If they have the necessary information of a potential action, they can run this model and it can advise them on how best to proceed with a pipe replacement to ensure there are no adverse effects.”
In the research, which the journal Environmental Science & Technology has accepted, Biswas and graduate research assistant Ahmed A. Abokifa present their approach, which predicts how far lead particles and dissolved species might travel after they’ve been disturbed. Utilizing water-quality modeling they had previously developed for the Environmental Protection Agency, Biswas and his team built a new computational model to predict lead particulate release, taking into account factors such as pipe age and dimensions, water-use patterns, water chemistry, and previous pipe disturbances.
After running a number of simulations testing their predictions, Biswas and his team are ready to make their model widely available to utility companies and even consumers. Biswas says the companies can add their individual system’s information and receive recommendations so partial-pipe replacement can proceed without compromising water quality. Abokifa and Biswas have developed several other drinking-water distribution system models to accurately predict disinfectant concentrations in the pipe network, especially dead-end systems.
“We’ll work to make these accurate models readily available, so utilities can download and use them,” he adds. “The predictions of the model will guide them on best practices to ensure the safety of the public at large.”
