A novel paradigm to classify urban drainage networks and to assess the vulnerability of sewer pipes using the relevance-based Complex Network Theory centrality metrics. The relevance-based metrics assign importance to the network elements (pipes and nodes) considering both the intrinsic relevance of nodes, here assumed equal to the risk of disconnection, and the network connectivity structure. Results provide useful information to support pipe maintenance programs to be prepared for malfunctioning events by means of a criticality analysis in advance.

This paper established a framework for dry-wet projections that took into account uncertainties from Global Climate models, climate scenarios, and potential evapotranspiration models; and then obtained a objective and comprehensive ensemble consisting of 108 projection results. Finally, we quantified the contribution of each uncertainty source to the total uncertainty.

Flume measurements collected by Gualtieri et al. (2018) were used to study the effect of rigid submerged vegetation on estimating flow resistance. A theoretical flow resistance equation, obtained by integrating the power flow velocity distribution, was calibrated and tested by experimental runs. For two arrangements (staggered, aligned) at high submergence ratios (ratio between the water depth and the vegetation height greater than 5), the analysis demonstrated that the theoretical flow resistance equation allows an accurate estimate of the Darcy–Weisbach friction factor.

This research develops a new framework named the Sponge Catchment Management Plan (SCMP) that merges Natural Flood Management (NFM) with Sponge City Program (SCP) and Grey Engineering (GE). The Guiyang case also could be a lesson to encourage other cities further implement SCP to improve catchment-scale flood resilience.