Identification of potential sewer mining locations: a Monte-Carlo based approach

Area of Science:

• Environmental Engineering
• Urban Water Management
• Wastewater Reuse Technologies

Background:

• Urbanization and climate change increase water scarcity, driving demand for innovative water and wastewater reuse solutions.
• Sewer mining (SM) is a decentralized approach to extract, treat, and reuse wastewater locally for non-potable urban applications.
• Implementing SM faces challenges in public perception, regulation, and critical engineering considerations within sewer systems.

Purpose of the Study:

• To investigate the engineering challenges of sewer mining implementation in urban environments.
• To analyze the impact of wastewater extraction and residual return on sewer network biochemical processes.
• To develop a method for identifying optimal sewer mining deployment locations that ensures system reliability.

Main Methods:

• Consideration of the sewer network as a complex system with interacting physical, biological, and chemical processes.
• Proposal of a novel Monte-Carlo based simulation method.
• Integration of spatial properties, water demand characteristics, and sewer network dynamics variability into the method.

Main Results:

• The proposed Monte-Carlo method provides rational results for identifying potential sewer mining locations.
• The study highlights the importance of understanding sewer network dynamics before SM deployment.
• Wastewater extraction and sludge return can alter biochemical processes, potentially degrading infrastructure if not managed.

Conclusions:

• The developed method offers valuable guidelines for scaling up sewer mining technologies at a city level.
• Prior investigation of sewer network dynamics is crucial for successful and reliable SM implementation.
• Addressing engineering challenges is key to realizing the potential of wastewater reuse through sewer mining.