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Simulation of Extreme Hydrometeorological Events under Tropical Conditions Using a Distributed Hydrological Model

9 pagesPublished: September 20, 2018

Abstract

Change in climatic conditions worldwide has increased the frequency and severity of extreme hydrometeorological events (EHEs). Mexico is an example of this: the country has been affected by the occurrence of EHEs leading to important economic, social, and environmental losses. The objective of this investigation was to apply a Canadian Distributed Hydrological Model (DHM) to tropical conditions, and to evaluate its capacity to simulate flows in a basin in the central Gulf of Mexico. Additionally, we used this calibrated and validated DHM to predict streamflow before the occurence of an EHEs. The results of the DHM show satisfactory goodness-of-fit indicators between the observed and simulated flows in the calibration process (NSE=0.83, RSR=0.41 and BIAS=-4.3), as well as its validation (NSE=0.775, RSR=0.4735 and BIAS=2.45). The DHM showed its applicability to streamflow simulation and confirmed a reliable efficiency in the modeling of thirteen EHEs (NSE=0.78 ± 0.13, RSR=0.46 ± 0.14, and PBIAS=-0.48 ± 7.5). DHM can serve as a tool to identify vulnerabilities before floods and assist in devising more rational and sustainable management of water resources.

Keyphrases: Extreme hydrometeorological events, HYDROTEL, Mexico.

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 917--925

Links:
BibTeX entry
@inproceedings{HIC2018:Simulation_of_Extreme_Hydrometeorological,
  author    = {Sara Patricia Ibarra-Zavaleta and Annie Poulin and Mariana Casta\textbackslash{}\~{}\{n\}eda-Gonzalez and Rosario Landgrave and Rabindranarth Romero-Lopez and Ernesto Ruelas Inzunza},
  title     = {Simulation of Extreme Hydrometeorological Events under Tropical Conditions Using a Distributed Hydrological Model},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  pages     = {917--925},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {https://easychair.org/publications/paper/mPsL},
  doi       = {10.29007/qht4}}
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