INPE's New Technology Shows Areas Prone to Flooding
Hello reader!
It follows one note published on the day (02/27) in the
website of the National Institute for Space Research (INPE) that the INPE's new technology
for Terrain Modeling shows areas prone to flooding.
Duda Falcão
New Technology for Terrain Modeling
Shows Areas Prone to Flooding
Monday, February 27, 2012
Called HAND - Height Above the Nearest Drainage
-, the new digital terrain model developed at the Brazil’s National Institute
for Space Research (Instituto Nacional de Pesquisas Espaciais - INPE) has many
applications. One of the most important is to allow the advanced and widespread
classification of areas that are vulnerable to floods and other natural
disasters.
The HAND is
created by the Group of Land Modeling from the Earth System Science Center at
INPE and determines the relative gaps on the ground comparing to the rivers.
“Digital
terrain model is a kind of virtual model of the landscape. The topography of
the land is gathered in digital images by remote sensors – such as radar or
laser, through airplanes or satellites –, then it is represented by computer as
a virtual 3D surface. Mathematics computations are applied in this virtual
surface to extract typical properties of the forms, such as delineation of
watersheds, local rivers and streams, slopes and slope distances, among
others,” explains Antonio Donato Nobre, head of the research that resulted in
the new model.
The researcher
at the National Institute for Amazonian Research (Instituto Nacional de
Pesquisas da Amazônia - INPA), which head the terrain modeling at INPE, has
been developing this new approach for 10 years. He said the model came from the
quest for fundamental scientific understanding of water in the landscape,
specifically the relationship between topography and hydrology. "Science
works with discovery. To take advantage of scientific breakthroughs in solving
problems is a responsibility of people who work with application", notes
Antonio Nobre.
Archimedes'
Principle
The expert
explains that in a flat surface of water, as a lake, a slope for the gap is
easy to determine, which allows easily knowing the spatial range of the flood.
On the other hand, the flow in a non-flat land – like rivers, for example –,
where there is not a clear or regular level of the water surface, is harder to
refer the gap compared to the slope. Hence the difficulty in knowing where the
water overflowing the river channel can reach.
Hydrodynamic
models of flow can predict the range and power of floods along watercourses.
However, they are complex models, usually applied in specific places, which
require detailed parameterizations and are difficult to use, which restricts
its application to larger scales. "The simplified innovation that HAND
introduces is the intelligent way of computing the gaps. The model assumes
Archimedes’ Principle, which the water chooses the shortest path to lower
ground. This behavior is explained by gravity propelling water," says
Antonio Nobre.
The model
considers that the surface water, draining the land, traces flow paths such
that each point of the landscape has a "path" connecting with the
closest river or waterbody. HAND uses digital topographic information to
virtually map all the flow paths of the land surface. Then the gaps along the
trajectories are calculated and areas of equidistance or proximity related to
waterbody are mapped, a direct measure of the likelihood of flooding.
The model has
been successfully applied in regions with great incidence of flooding, such as
the outskirts of São Paulo (under Megacidades project) and experimentally
applied in Mundaú river, Alagoas state, and in the mountain region of Rio de
Janeiro state.
HAND model was
also presented by Antonio Nobre during discussions on the Brazilian Forest
Code, as a basis for a new land use. “HAND model and other advanced approaches
for mapping, offer promising potential diagnostics, weaknesses and risks of each
land, a key ingredient for new smart landscapes development,” concludes the
expert.
The HAND
development, which also involved the experts Camilo Daleles Rennó and Luz
Adriana Cuartas, both from INPE, was detailed in a paper published in Hydrology and Earth System Sciences Discussions.
Source: WebSite
of the National Institute for Space Research (INPE)
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