Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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SES 1-2-1: Modelling of Blue-Green Infrastructure / NBS / SUDS / LID 1 Location: HSB0 Session Chair: Virginia Stovin Session Chair: Fabian Funke | |
| Presentation 3 | |
11:30am - 11:45am
Impacts of climatological variability on Evapotranspiration: A Sensitivity Analysis for Urban Drainage Applications 1: University of Genoa, Italy; 2: Leesu, ´ Ecole des Ponts ParisTech, Universit´ e Paris Understanding the sensitivity of reference evapotranspiration(ET0) to meteorological variables is critical for improving urban water management and climate adaptation strategies. This study analyzes the one-way and two-way sensitivity of ET0 to maximum temperature(Tmax), wind speed(u₂), solar radiation(Rs), and maximum relative humidity(RHmax) using the FAO-56 Penman-Monteith equation for multiple meteorological stations in Paris area. One-way sensitivity analysis revealed that Tmax and Rs have the strongest influence on ET0 in summer, while windspeed and RHmax show secondary notable effects, particularly in winter seasons. A two-way sensitivity analysis was conducted for Tmax and RHmax, considering their joint influence on vapor pressure deficit(VPD). The results indicate a nonlinear relationship, where higher Tmax and lower RHmax significantly increase VPD, amplifying ET0, while increasing RHmax dampens this effect. Seasonal variations highlight stronger ET0 sensitivity in summer and reduced impact of Rs in winter due to high humidity levels. Windspeed has its major role in shaping evapotranspiration in winter and in dense urban settings. These findings emphasize the need for climate-adaptive urban drainage models, integrating ET0 variability to enhance stormwater retention, flood resilience, and green infrastructure efficiency under changing climate conditions. Future research should refine ET0 modelling for urban microclimates, ensuring accurate water balance predictions in cities. | |
