Data-Driven Approaches for Quantitative and Qualitative Control of Urban Drainage Systems (Preliminary Results)
Author:
Publisher
MDPI
Link
https://www.mdpi.com/2673-4931/21/1/67/pdf
Reference22 articles.
1. A Bayesian approach to model the trends and variability in urban stormwater quality associated with catchment and hydrologic parameters
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3. Support Vector Regression for Rainfall-Runoff Modeling in Urban Drainage: A Comparison with the EPA’s Storm Water Management Model
4. Machine Learning Models for Spring Discharge Forecasting
5. A nonlinear autoregressive exogenous (NARX) model to predict nitrate concentration in rivers
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