A Reduced Complexity Model With Graph Partitioning for Rapid Hydraulic Assessment of Sewer Networks
Author:
Affiliation:
1. Department of Civil and Environmental Engineering Imperial College London London UK
2. Project Centre Limited–Flood and Water Management Team London UK
3. Krüger A/S Veolia Water Technologies Søborg Denmark
Funder
Natural Environment Research Council
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021WR030778
Reference31 articles.
1. Enhanced Artificial Neural Networks Estimating Water Quality Constraints for the Optimal Water Distribution Systems Design
2. The development of adaptation pathways for the long‐term planning of urban drainage systems;Babovic F.;Journal of Flood Risk Management,2019
3. Rainfall-Runoff Modelling
4. Fast unfolding of communities in large networks
5. Scikit‐network: Graph analysis in Python;Bonald T.;Journal of Machine Learning Research,2020
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