[HTML][HTML] Machine learning for spatial analyses in urban areas: a scoping review

Y Casali, NY Aydin, T Comes - Sustainable cities and society, 2022 - Elsevier
The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …

Toward Sustainable Water Infrastructure: The State‐Of‐The‐Art for Modeling the Failure Probability of Water Pipes

R Taiwo, MEA Ben Seghier… - Water Resources …, 2023 - Wiley Online Library
Failures of water distribution networks (WDNs) are rising at an exponential rate,
necessitating immediate attention. An effective way to reduce the failure rate is to develop …

Unlocking the potential of microbially induced calcium carbonate precipitation (MICP) for hydrological applications: a review of opportunities, challenges, and …

C Konstantinou, Y Wang - Hydrology, 2023 - mdpi.com
Microbially induced calcium carbonate precipitation (MICP) is an innovative biocementation
technique that facilitates the formation of calcium carbonate within a pore network. Initially …

[HTML][HTML] Pressure-induced fatigue failures in cast iron water supply pipes

C Jara-Arriagada, I Stoianov - Engineering Failure Analysis, 2024 - Elsevier
Cast iron pipes have been extensively utilised in water supply networks worldwide. Many of
these pipes are either at the onset or within their wear-out phase, during which failure rates …

The challenges of predicting pipe failures in clean water networks: a view from current practice

NA Barton, SH Hallett, SR Jude - Water Supply, 2022 - iwaponline.com
Pipe failure models can aid proactive management decisions and help target pipes in need
of preventative repair or replacement. Yet, there are several uncertainties and challenges …

Experimental investigation of the effects of porosity, hydraulic conductivity, strength, and flow rate on fluid flow in weakly cemented bio-treated sands

C Konstantinou, G Biscontin - Hydrology, 2022 - mdpi.com
Fluid injection in a porous medium is the underlying mechanism for many applications in the
fields of groundwater hydraulics, hydrology and hydrogeology, and geo-environmental …

An evolution of statistical pipe failure models for drinking water networks: A targeted review

NA Barton, SH Hallett, SR Jude, TH Tran - Water Supply, 2022 - iwaponline.com
The use of statistical models to predict pipe failures has become an important tool for
proactive management of drinking water networks. This targeted review provides an …

Predicting the risk of pipe failure using gradient boosted decision trees and weighted risk analysis

NA Barton, SH Hallett, SR Jude, TH Tran - Npj Clean Water, 2022 - nature.com
Pipe failure prediction models are essential for informing proactive management decisions.
This study aims to establish a reliable prediction model returning the probability of pipe …

A random forest machine learning approach for the identification and quantification of erosive events

L Vergni, F Todisco - Water, 2023 - mdpi.com
Predicting the occurrence of erosive rain events and quantifying the corresponding soil loss
is extremely useful in all applications where assessing phenomenon impacts is required …

Statistical and machine learning analysis for the application of microbially induced carbonate precipitation as a physical barrier to control seawater intrusion

C Konstantinou, Y Wang - Journal of Contaminant Hydrology, 2024 - Elsevier
Seawater intrusion in coastal aquifers is a significant problem that can be addressed
through the construction of subsurface dams or physical cut-off barriers. An alternative …