International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004
After the process of partitioning sections along the river, make
observation from the output meshes shown in fig. 3 and fig.4,
It is found out that original assumption for numerical expression
of the flow direction really works fairly well in those relative
smooth areas of the river (fig.3); however, it is not so self-
adapted when those abrupt variations come into being at the
corner, “overlapping” phenomena will appear in the output
meshes then (fig.4). It indicates that direction transition
between sections is not smooth enough as is required to adapt
the variation of the river flow all the way; some smoothening
operations are in need to make up the limitation of the original
assumption, now.
We have tried to average the slope values of adjacent certain
number of sections along the flow direction, after an attempt of
this kind of smoothening processing,
Fig.6 after slope-averaged process at the corner part
All the output meshes in this paper are generated and
displayed in software TecPlot9.0 (Tecplot, inc. 2004)
directly from the result file of this algorithm, each mesh is
an irregular quadrangle made up of four sampling points
which would be introduced in detail in $3.4.
^
it is found out that *overlapping" phenomena at the corner can
be eliminated effectively as shown in fig.6, however, in those
horizontal parts as in fig.5,as the slope value used to express the
direction would be large in abstract values and would even be +
co or -, there would be great discontinuity in the directional
transitions between adjacent sections and “overlapping”
phenomena will appear now.
At last, we come to realize that it is not the smoothening
methods but the measure taken to represent the direction of the
sections are unfit for handling above “overlapping” phenomena.
Angle is proved to be good at expressing directions of all the
sections continuously, this could be seen from output meshes
shown in fig.17 (a) ~ (d), in which sections along the river have
been processed with a smoothening method based upon angle-
value averaging; thus achieves good performance in partitioning
sections self-adapted to variable flow direction.
Further considerations on how to prevent “overlapping”
phenomena taking place within the river way have been taken
into account, also, we will not cover much on them as it is not
difficult to achieve the goal after above transactions, now.
3.4 Elevation interpolation of the sample points
In fact, partitioning sections along the river is one way used to
make terrain of the riverway become discrete in lengthways, in
order to make it also discrete in widthways to complete the
dispersion of the entire terrain, following solutions have been
taken to do like this:
|. Confirming both ends of each section in coordinate values
on the river boundary and telling the starting from the
ending, which also making certain the sampling direction
in each section;
2. Sampling out certain amounts of discrete points along
each section;
3
3. Calculating clevation values of each sample points along
every section by the use of interpolation algorithm.
As all the DEM grids within the river way have their valid
elevation values but those outside don’t and direction of each
section-line together with one Secr-Point are known to us, it is
not too difficult to scan from the Secr-Point to confirm both
ends of each section-line, just as illustrated in fig.7.
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ITLITI
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Fig.7 confirming both end points of the section-lines
Successive computations in hydrodynamic models require that
sequence of sample points in one section maintain some kind of
parallel relationship with those of the next, as shown in the
following two figures. , which are fig.8 and fig.9,
"* S; (i21,2...n) represent the sequence of sample points in one
section, T; (i-1,2...n) represent those in the adjacent next
section. Incremental direction of / represents the sampling
direction.
454
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