{
  "id": 14967465,
  "title": "AI and wastewater DNA-based mapping help identify sewer pipes at risk of corrosion",
  "url": "https://urgent.news/2026/10/16/ai-and-wastewater-dna-based-mapping-help-identify-sewer-pipes-at-risk",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-16T13:38:48.000Z",
  "source": {
    "name": "Phys.org",
    "slug": "phys-org",
    "url": "https://phys.org/news/2026-10-ai-wastewater-dna-based-sewer.html"
  },
  "original_language": "en",
  "account": "Underground sewer pipes play a crucial role in modern cities by safely managing wastewater. However, due to their buried nature and accessibility challenges, monitoring their condition can be difficult and costly. Aging pipes can deteriorate unnoticed until they reach a critical breaking point, leading to leaks that may contaminate surrounding water or cause infrastructure damage such as sinkholes. To address this issue, researchers at Tohoku University developed a method utilizing wastewater DNA analysis and ecological modeling to predict the risk of severe corrosion in sewer pipes. The study, published in the Journal of Environmental Management, discovered that the bacterium Desulfobulbus was the most significant predictor of pipe deterioration, second only to pipe age. By mapping bacterial habitat potential using ecological modeling and combining it with pipe age, diameter, and slope in a machine-learning model, the researchers were able to identify high-risk pipe sections that required closer inspection. This innovative approach allows municipalities to prioritize inspections, allocate resources efficiently, and prevent costly failures by addressing problems before they escalate.",
  "summary": "Underground sewers that safely manage wastewater are essential to modern cities. However, since they are buried underground and difficult to access, their condition can be hard to monitor. Traditional camera inspections are costly and time-consuming, but we need regular inspections so aging pipes do not continue to deteriorate until they reach a breaking point. When damaged pipes leak, they can…",
  "key_points": [
    "Researchers use wastewater DNA analysis to predict pipe corrosion risk.",
    "Desulfobulbus bacterium identified as key predictor of deterioration.",
    "Machine-learning model prioritizes inspections based on pipe age, diameter, and slope."
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}