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| Author(s): |
Taís Arriero Shinma
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC/SBD) |
| Defense date: | 2015-11-05 |
| Examining board members: |
Luisa Fernanda Ribeiro Reis;
Marco Aurelio Holanda de Castro;
Klebber Teodomiro Martins Formiga;
Rodrigo de Melo Porto;
Antonio Carlos Zuffo
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| Advisor: | Luisa Fernanda Ribeiro Reis; Hushin Vijai Gupta |
| Abstract | |
This project refers to the development of an automatic multi-objective calibrator for the SWMM (Storm Water Management Model), and the evaluation of some uncertainties sources inherent to the calibration process, aiming to a satisfactory rainfall-runoff transformation representation. The code was written in C language, and applies the concepts of the multi-objective optimization method NSGAII (Non Dominated Sorting Genetic Algorithm) with controlled elitism, using the source code of SWMM to calculate the simulated flow. In addition, a visual interface was also created to improve the calibrators usability. The calibrator tests were applied to three different systems: a hypothetical system available in the SWMM installation package; a real system of small dimensions, called La Terraza, located in the city of Sierra Vista, Arizona (USA); and a large dimensions system, the watershed of Gregório Stream, located in São Carlos (SP). The results indicate that the calibrator built presents, in general, satisfactory efficiency, although it is very dependent on the observed data quality and the input parameters selected by the user. The importance of the events chosen for calibration, the settlement of appropriate limits on the decision variables values, the objective functions choice, and especially the quality and representativeness of the rainfall and runoff monitoring data were demonstrated. We conclude that these performed tests contribute to the thorough understanding of the processes involved in modeling and calibration, enabling advances in the modeling results reliability. (AU) | |
| FAPESP's process: | 11/01796-8 - Evaluation of uncertainties in the automatic calibration of the SWMM |
| Grantee: | Taís Arriero Shinma |
| Support Opportunities: | Scholarships in Brazil - Doctorate |