Optimising Remote Sensors and Nature-Based Solutions Allocation Based on Hydrological 2D-1D Numerical Models: The Cerisano Case Study

II International Conference on Challenges and Perspectives in Urban Water Management Systems (CSDU-CSSI DAYS 25) 2026 Open access

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Authors: Carlos H. Aparicio-Uribe, Michele Turco, Stefania Anna Palermo, Mohammed Mudhafar Saleh, Beniamino Russo, Patrizia Piro
DOI: 10.3390/engproc2026135013
Cited by: 1
References: 6

Abstract

The integration of remote sensors with nature-based solutions (NBS) offers new opportunities for suitable hydrological monitoring and risk reduction. This study implements 2D-1D numerical modelling tools to guide the allocation of both sensors and NBS interventions. Using the Cerisano catchment as a case study, the software IBER-SWMM (3.3.1–5.2 respectively) was employed to reproduce rainfall-runoff under different scenarios. Outputs were analysed to identify hydrologically sensitive zones where sensor deployment and NBS implementation would maximise monitoring efficiency and mitigation benefits. Results demonstrate how modelling supports effective decisions that are often limited by budget and site-specific constraints.

Fields of Study & Subjects

Hydrology and Watershed Management Studies Flood Risk Assessment and Management Urban Stormwater Management Solutions

Publication details

Journal / source
II International Conference on Challenges and Perspectives in Urban Water Management Systems (CSDU-CSSI DAYS 25)
Publisher
MDPI
Pages
13–13
Publication date
6 May 2026
Language
EN