Publicacións

@article{areu-rangel_impact_2019,

title = {Impact of Urban Growth and Changes in Land Use on River Flood Hazard in Villahermosa, Tabasco (Mexico)},

author = {Omar S. Areu-Rangel and Luis Cea-Gómez and Rosanna Bonasia and Victor J. Espinosa-Echavarria},

url = {https://www.mdpi.com/2073-4441/11/2/304},

doi = {10.3390/w11020304},

issn = {2073-4441},

year  = {2019},

date = {2019-02-01},

urldate = {2026-08-05},

journal = {Water},

volume = {11},

number = {2},

pages = {304},

publisher = {Multidisciplinary Digital Publishing Institute},

abstract = {The city of Villahermosa, a logistical center in the State of Tabasco’s economy, is affected by recurrent river floods. In this study, we analyzed the impact of two factors that are the most probable causes of this increase in flood hazard: changes in land use in the hydrological catchments upstream of the city, and the uncontrolled urbanization of the floodplains adjacent to the main river channels. Flood discharges for different return periods were evaluated, considering land uses of the catchments, both as they were in 1992 and as they are today. These flood discharges were then used in a 2D shallow water model to estimate the increase of water depths in the city from 1992 to the present day. To evaluate the influence of urban expansion on inundation levels, three future urbanization scenarios were proposed on the basis of the urban growth rate forecast for 2050. Results confirm that the change in land use in the hydrological catchments is the main factor that explains the increase in inundation events observed over recent years. This study also provides useful insights for future city planning that might help to minimize the flood impact on Villahermosa.},

keywords = {flood hazard, land use, Urban growth, Villahermosa},

pubstate = {published},

tppubtype = {article}

}

@article{Perez2018,

title = {Predicting vertical urban growth using genetic evolutionary algorithms in Tokyo's Minato ward},

author = {Rafael Iván Pazos-Pérez and Adrián Carballal and Juan R. Rabuñal-Dopico and Omar A. Mures and María D. García-Vidaurrázaga},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035762081&doi=10.1061%2f%28ASCE%29UP.1943-5444.0000413&partnerID=40&md5=fa6897430d3ff851aff35ea29e9ccbbc},

doi = {10.1061/(ASCE)UP.1943-5444.0000413},

issn = {07339488},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

journal = {Journal of Urban Planning and Development},

volume = {144},

number = {1},

publisher = {American Society of Civil Engineers (ASCE)},

abstract = {This article explores the use of evolutionary genetic algorithms to predict scenarios of urban vertical growth in large urban centers. Tokyo's Minato Ward is used as a case study because it has been one of the fastest growing skylines over the last 20 years. This study uses a genetic algorithm that simulates the vertical urban growth of MinatoWard to make predictions from pre-established inputted parameters. The algorithm estimates not only the number of future high-rise buildings but also the specific areas in the ward that are more likely to accommodate new high-rise developments in the future. The evolutionary model results are compared with ongoing high-rise developments in order to evaluate the accuracy of the genetic algorithm in simulating future vertical urban growth. The results of this study show that the use of genetic evolutionary computation is a promising way to predict scenarios of vertical urban growth in terms of location as well as the number of future buildings. © 2017 American Society of Civil Engineers.},

note = {cited By 11},

keywords = {computer simulation; future prospect; genetic algorithm; location-allocation model; numerical model; prediction; spatial analysis; urban development; urban growth; urban morphology, Evolutionary algorithms; Forecasting; Genetic algorithms; Office buildings; Tall buildings, Evolutionary models; High rise building; High rise development; Minato Ward; Specific areas; Tokyo; Urban morphogenesis; Vertical growth, Honshu; Japan; Kanto; Minato; Tokyo [Kanto]; Tokyo [Tokyo (PRF)], Urban growth},

pubstate = {published},

tppubtype = {article}

}