652
G. T. Rodrigues and E. N. de Moura
The computational visualization of flood risks made possible by the referred work,
through flood maps and damage elevation profiles, provides a simple and effective
idea of flood risk communication, supporting those involved in the planning of urban
land use. This ability to view the problem provides the population and decision
makers with a better understanding of the problem, both individually and for the
whole community (Cummings et al. 2012).
It is noteworthy that it consists of a promising systematization of data, but it still
finds limitations due to the lack of monitoring and frequent records of flood events for
its calibration and validation, in addition to the limitation of the computational tools
employed at work, which can present deviations, since they result from mathematical
models.
The altimetric precision obtained with the systematization of data for the formation of the flood spot can be used in future works to determine the altimetric limit of
the capacity of the river channel, maximum flow and consequently the precipitation,
that is, allowing the prediction of floods and floods. affected areas.
This fact will help to differentiate the occurrence of a flood or flood, in the monitoring of occurrences, enabling the implementation of mitigating measures to society.
The altimetric precision obtained in the modeling can also be applied to design
preventive structural measures.
In the present work, the methodology was applied to Ribeirão dos Padilhas,
resulting in a flood spot with an extension of 1,019,216.39 m
2 (with the drainage
area). Also noteworthy is the value of economic losses estimated at R $ 22,664,538.60
for the total area affected.
The damages obtained from the analysis of the results exemplify the importance
of mapping the flood areas, estimating the damage caused by the flood, harnessing
the altimetry of the flood spot to measure the economic loss, and thus making it
possible to estimate the losses caused by the simulated flood.
Thus, it is emphasized that the systematization developed in the work can be
applied in other locations, due to its extensive characteristic adapting to the diversities, as long as the input data are previously monitored, highlighting the need for
effective public policies aimed at preventing urban flooding.
Although floods can be measured financially as demonstrated in this paper, the
data provoked transcend the economic sphere by impacting socially vulnerable
populations with greater force, which lack their own resources and need external
interventions to mitigate the occurrence of floods.
G. T. Rodrigues and E. N. de Moura
The computational visualization of flood risks made possible by the referred work,
through flood maps and damage elevation profiles, provides a simple and effective
idea of flood risk communication, supporting those involved in the planning of urban
land use. This ability to view the problem provides the population and decision
makers with a better understanding of the problem, both individually and for the
whole community (Cummings et al. 2012).
It is noteworthy that it consists of a promising systematization of data, but it still
finds limitations due to the lack of monitoring and frequent records of flood events for
its calibration and validation, in addition to the limitation of the computational tools
employed at work, which can present deviations, since they result from mathematical
models.
The altimetric precision obtained with the systematization of data for the formation of the flood spot can be used in future works to determine the altimetric limit of
the capacity of the river channel, maximum flow and consequently the precipitation,
that is, allowing the prediction of floods and floods. affected areas.
This fact will help to differentiate the occurrence of a flood or flood, in the monitoring of occurrences, enabling the implementation of mitigating measures to society.
The altimetric precision obtained in the modeling can also be applied to design
preventive structural measures.
In the present work, the methodology was applied to Ribeirão dos Padilhas,
resulting in a flood spot with an extension of 1,019,216.39 m
2 (with the drainage
area). Also noteworthy is the value of economic losses estimated at R $ 22,664,538.60
for the total area affected.
The damages obtained from the analysis of the results exemplify the importance
of mapping the flood areas, estimating the damage caused by the flood, harnessing
the altimetry of the flood spot to measure the economic loss, and thus making it
possible to estimate the losses caused by the simulated flood.
Thus, it is emphasized that the systematization developed in the work can be
applied in other locations, due to its extensive characteristic adapting to the diversities, as long as the input data are previously monitored, highlighting the need for
effective public policies aimed at preventing urban flooding.
Although floods can be measured financially as demonstrated in this paper, the
data provoked transcend the economic sphere by impacting socially vulnerable
populations with greater force, which lack their own resources and need external
interventions to mitigate the occurrence of floods.