期刊
ENVIRONMENTAL MODELLING & SOFTWARE
卷 150, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2022.105335
关键词
Logistic regression; Stormwater flooding; Urban catchment; SWMM; Computer software OvfSim ver; 1
This study presents a methodology to analyze the impact of urbanization on the number of floods in an urban catchment over a long-term period. A mathematical model is used to predict the multiannual number of stormwater floods, taking into account the dynamic changes in the urban catchment over the subsequent years. Logistic regression is applied to predict flood occurrences during rainfall events. The model can be applied to catchments with different characteristics and allows for the development of early warning systems based on the identification of rainfall origins.
This work presents a methodology for analyzing the influence of urbanization in a long-term approach on the number of floods in an urban catchment. The mathematical model presented for predicting the multiannual number of stormwater floods accounts for dynamic changes in the urban catchment in the subsequent years covered by the simulations. Logistic regression was applied to predict flooding occurring during rainfall events. The model may be applied to catchments with different characteristics. The assumed solution allows the development of early warning systems by modeling the occurrence of stormwater flooding in a studied catchment area based on the identification of the rainfall origin. To verify the simulations with a mathematical model, an innovative concept based on a hydrodynamic model is used; this concept includes the changes in the impervious area that occur during the simulation period.
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