TY - JOUR
T1 - Modelación del riesgo de inundaciones en el estado de Tabasco en el periodo 1961-2007
AU - Reyes-Olvera, Ana Laura
AU - Gutiérrez-González, Eduardo
N1 - Funding Information:
rosimilitud (EMV) de (μ, , ), éstos se calculan con las librerías evd y VGAM del Proyecto R. Para la estimación por intervalos, se usa el hecho de que los EMV se distribuyen asintóti-camente normal ˆ~Nd(,I(.1ˆ)), donde I(ˆ)es
PY - 2016/3/1
Y1 - 2016/3/1
N2 - This paper proposes a flood risk indicator for hydrographic region 30 and a portion of 29, located in the state of Tabasco, Mexico. The indicator takes into account three factors: vulnerability, cost and hazards. Vulnerability measures the susceptibility of a region to flooding, which includes social and natural elements - that is, the services available to the population and the hydrological resources that pass through the region, respectively. In terms of cost, this takes into account the amount and type of damage from flooding, including the number of inhabitants and goods possessed by the population. The third factor, hazards, is based on annual maximum precipitations from 1961 to 2007, taken from the Maya v. 1.0 database, to calculate the probability of the occurrence of flooding and its return periods. For the hazards, a bootstrap goodness-of-fit test was proposed based on the sample correlation coeficient, using simulation to estimate the size and statistical power of the test. The distribution parameters were estimated according to maximum likelihood and the test verified that the observations fit the Gumbel distribution or generalized extreme values selected by the log-likelihood, AIC and correlation criteria.
AB - This paper proposes a flood risk indicator for hydrographic region 30 and a portion of 29, located in the state of Tabasco, Mexico. The indicator takes into account three factors: vulnerability, cost and hazards. Vulnerability measures the susceptibility of a region to flooding, which includes social and natural elements - that is, the services available to the population and the hydrological resources that pass through the region, respectively. In terms of cost, this takes into account the amount and type of damage from flooding, including the number of inhabitants and goods possessed by the population. The third factor, hazards, is based on annual maximum precipitations from 1961 to 2007, taken from the Maya v. 1.0 database, to calculate the probability of the occurrence of flooding and its return periods. For the hazards, a bootstrap goodness-of-fit test was proposed based on the sample correlation coeficient, using simulation to estimate the size and statistical power of the test. The distribution parameters were estimated according to maximum likelihood and the test verified that the observations fit the Gumbel distribution or generalized extreme values selected by the log-likelihood, AIC and correlation criteria.
KW - Bootstrap test
KW - Cost and hazard
KW - Extreme value
KW - Principal components
KW - Risk index
KW - Risk level map and return periods
KW - Vulnerability
UR - http://www.scopus.com/inward/record.url?scp=85030467196&partnerID=8YFLogxK
M3 - Artículo
SN - 0187-8336
VL - 7
SP - 99
EP - 114
JO - Tecnologia y Ciencias del Agua
JF - Tecnologia y Ciencias del Agua
IS - 2
ER -