The adaptive approach taken here is fundamentally to set about minimizing the mean-square error between a reference signal and a second-order notch filter's output, but practical operating implications have led to some interesting supplementary minimization constraints. A cumulative-selection procedure likened to Darwinian evolution, in contrast to conventional deterministic and highly structured algorithms, guides the adaption. Excellent adaptivity has been achieved, 60th in static interference situations and when jumps in interference frequency are imposed.
Abstract. Climate change and demographic pressure are common issues to be considered when conducting urban planning.Local authorities and stakeholders have therefore opted for more nature-based adaptation strategies, which are especially 10 suitable to influence both hydrological and energy processes. Assessing the multiple benefits of such strategies on the urban microclimate thus requires effective numerical tools. This paper presents recent developments of the water budget in the TEB-Veg model (SURFEX v7.3), which allows for a better representation of the hydrological processes of urban subsoil.This new hydrological module has been called TEB-Hydro. The developments studied concern the introduction of subsoil underneath built surfaces, and the processes of: horizontally rebalancing intra-mesh soil moisture, draining soil water via the 15 sewer network, and limiting deep drainage in the aim of achieving a more realistic base flow pattern in the sewer system. A sensitivity analysis is then performed in order to identify the hydrological parameters required for model calibration. The new TEB-Hydro model is evaluated on two small residential catchments in Nantes (France) by comparing simulated sewer discharges to observation findings. In both cases, the model tends to overestimate total sewer discharge and performs better under wet climate conditions, with a KGE statistical criterion greater than 0.80 vs. roughly 0.60 under drier weather 20conditions. Yet these findings remain encouraging since the same set of model parameters are identified for both catchments, irrespective of meteorological and local physical conditions. This approach opens opportunities to apply the model at the city scale with respect to projections of climate and demographic changes.
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