TY - JOUR
T1 - Comparison of two watershed models for addressing stakeholder flood mitigation strategies
T2 - Case study of Hurricane Alex in Monterrey, México
AU - Cázares-Rodríguez, Jorge E.
AU - Vivoni, Enrique
AU - Mascaro, Giuseppe
N1 - Funding Information:
The authors would like to thank funding from the National Science Foundation (SES-0951366, DMUU: Decision Center for a Desert City II: Urban Climate Adaptation) as well as the Inter-American Development Bank and The Nature Conservancy for supplementary funds. The authors appreciate the contributions of the following individuals during various stages of the efforts leading to this work: Alexander Baish, Dave D. White, Robert Pahle, George Basile, Elizabeth Tellman, Aldo I. Ramírez, Daniel Che, and Jurgen Mahlknecht. Enrique Vivoni would like to thank the U.S. Fulbright-Garcia Robles and Mexican CONACYT fellowships for support. The authors acknowledge computing resources from the ASU Advanced Computing Center (A2C2). The authors also thank several reviewers and the editorial team who provided useful comments that substantially improved earlier versions of the manuscript.
Publisher Copyright:
© ASCE.
PY - 2017/9/1
Y1 - 2017/9/1
N2 - Extreme flooding in the metropolitan area of Monterrey, México has led to an interest from local stakeholders in potential mitigation strategies in the Santa Catarina watershed. The authors analyze a set of hydraulic infrastructure options using two hydrologic models of varying complexity in the context of a major flood caused by the landfall of Hurricane Alex in 2010. A consistent approach was used to provide terrain, soil, vegetation, and meteorological data to each model-hydrological modeling system (HEC-HMS), and triangulated irregular network (TIN)-based real-time integrated basin simulator (tRIBS)-and to test the models with streamflow and water level observations. Simulation analyses focus on the differential ability of the two models in capturing precipitation and watershed properties and its effects on the hydrologic response in the presence of hydraulic infrastructure options. A scenario with a single, large dam reduced the flood peak more favorably than three smaller structures. The model comparison is effective in addressing stakeholder-driven mitigation strategies and revealing the added value of spatially-distributed approaches.
AB - Extreme flooding in the metropolitan area of Monterrey, México has led to an interest from local stakeholders in potential mitigation strategies in the Santa Catarina watershed. The authors analyze a set of hydraulic infrastructure options using two hydrologic models of varying complexity in the context of a major flood caused by the landfall of Hurricane Alex in 2010. A consistent approach was used to provide terrain, soil, vegetation, and meteorological data to each model-hydrological modeling system (HEC-HMS), and triangulated irregular network (TIN)-based real-time integrated basin simulator (tRIBS)-and to test the models with streamflow and water level observations. Simulation analyses focus on the differential ability of the two models in capturing precipitation and watershed properties and its effects on the hydrologic response in the presence of hydraulic infrastructure options. A scenario with a single, large dam reduced the flood peak more favorably than three smaller structures. The model comparison is effective in addressing stakeholder-driven mitigation strategies and revealing the added value of spatially-distributed approaches.
KW - Distributed hydrologic modeling
KW - Extreme event
KW - Flood mitigation
KW - Hydraulic infrastructure
KW - Linear reservoir
KW - Model complexity
KW - Remote sensing
KW - Stakeholder engagement
UR - http://www.scopus.com/inward/record.url?scp=85023160458&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85023160458&partnerID=8YFLogxK
U2 - 10.1061/(ASCE)HE.1943-5584.0001560
DO - 10.1061/(ASCE)HE.1943-5584.0001560
M3 - Article
AN - SCOPUS:85023160458
SN - 1084-0699
VL - 22
JO - Journal of Hydrologic Engineering - ASCE
JF - Journal of Hydrologic Engineering - ASCE
IS - 9
M1 - 05017018
ER -