Here are plots of this coverage area at 0, 20, 40, 60, 80, and 100 years:

Here is a plot of the final average erosion, in hectares per half kilometer squared:

85% of the river simulations were performed using the Johannesson-Parker meandering model of 1989, which is based on the solution of 2 integral equations. Most of the simulated rivers shown in the previous pages have been produced using this method. However, as a comparison, 540 simulations were perfomed using a much simpler (and less 'physical') meandering model which is based on the difference in circumference of two circles of different radii (e.g. around river bends). Shown below are 4 examples from this set of runs --the longest (5061), the shortest (4351), covering the most area (5278), and a typical 'average' river (5373):


These runs, when combined, produce a coverage plot which is similar to that of the Johannesson-Parker simulations:

'Target' areas within the river valley can be defined which correspond to towns, roads, airstrips, parks, and other geographic landmarks:

The 100 year coverage array can be overlayed on these targets to see which of them are encroached upon by the river, and to what degree:

The database can track the course of every individual river over time to see when, and how much area of, each target it will reach and cover:
Loading from runs.rsq
3072 entries read
Percent of target area occupied during simulation:
i file coverEP coverG coverHDF coverJ coverMe coverMi coverPSP coverR coverVe coverVo coverW coverYE coverYS
----- -------------------- ---------------- ---------------- ---------------- ---------------- ---------------- ---------------- ---------------- ---------------- ---------------- ---------------- ---------------- ---------------- ----------------
1 run0000.mnrr 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.386667 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
2 run0001.mnrr 0.000000 0.000000 1.000000 0.000000 0.000000 0.000000 0.546667 0.000000 0.000000 0.000000 0.000000 0.000000 0.111111
3 run0002.mnrr 0.000000 0.000000 1.000000 0.000000 0.000000 0.000000 0.666667 0.000000 0.294118 0.000000 0.000000 0.071429 0.222222
4 run0003.mnrr 0.117647 0.000000 1.000000 0.000000 0.000000 0.000000 0.906667 0.000000 0.235294 0.000000 0.000000 0.071429 0.222222
5 run0004.mnrr 0.000000 0.000000 0.200000 0.000000 0.000000 0.000000 0.413333 0.000000 0.000000 0.000000 0.000000 0.071429 0.000000
...
min: 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.306667 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
max: 1.000000 1.000000 1.000000 0.666667 0.000000 1.000000 1.000000 0.000000 1.000000 0.000000 0.000000 1.000000 1.000000
mean: 0.463886 0.002930 0.710417 0.000217 0.000000 0.036133 0.761714 0.000000 0.383195 0.000000 0.000000 0.132138 0.060366
Time rivers reach specific targets (years):
i file reachEP reachG reachHDF reachJ reachMe reachMi reachPSP reachR reachVe reachVo reachW reachYE reachYS
----- -------------------- ---------------- ---------------- ---------------- ---------------- ---------------- ---------------- ---------------- ---------------- ---------------- ---------------- ---------------- ---------------- ----------------
1 run0000.mnrr -1.000000 -1.000000 -1.000000 -1.000000 -1.000000 -1.000000 0.000000 -1.000000 -1.000000 -1.000000 -1.000000 -1.000000 -1.000000
2 run0001.mnrr -1.000000 -1.000000 70.000000 -1.000000 -1.000000 -1.000000 0.000000 -1.000000 -1.000000 -1.000000 -1.000000 -1.000000 90.000000
3 run0002.mnrr -1.000000 -1.000000 60.000000 -1.000000 -1.000000 -1.000000 0.000000 -1.000000 90.000000 -1.000000 -1.000000 10.000000 70.000000
4 run0003.mnrr 80.000000 -1.000000 40.000000 -1.000000 -1.000000 -1.000000 0.000000 -1.000000 100.000000 -1.000000 -1.000000 10.000000 50.000000
5 run0004.mnrr -1.000000 -1.000000 90.000000 -1.000000 -1.000000 -1.000000 0.000000 -1.000000 -1.000000 -1.000000 -1.000000 20.000000 -1.000000
...
min: 30.000000 80.000000 20.000000 100.000000 -1.000000 60.000000 0.000000 -1.000000 30.000000 -1.000000 -1.000000 10.000000 30.000000
max: 100.000000 100.000000 100.000000 100.000000 -1.000000 100.000000 0.000000 -1.000000 100.000000 -1.000000 -1.000000 100.000000 100.000000
mean: 61.805444 91.000000 60.371257 100.000000 -1.000000 85.773810 0.000000 -1.000000 69.011387 -1.000000 -1.000000 17.254174 71.926864
The database can also find examples of individual rivers which reach and cover several designated targets at some time during the simulation, but which miss others. In the following plots, two towns (in green and red at upper left of valley) are eventually covered by the same river in 4 different examples:

This information, along with the 2d coverage maps shown above, can be used to assess the relative danger from the river to specific locations within the valley at different times during the next 100 years. For example, here are contour plots showing the percentage (95%, 75%, 50%, 25%, 5%, 1%) of all simulated rivers reaching points in the valley. Towns lying on or inside these lines have a 1/100, 5/100, etc..., chance of being overrun by the river during 100 years:


Finally, the single-thread meandering model used in this study is clearly not adequate to accurately represent a river such as the Missouri, primarily because:
As a logical next step to the current study, I have begun work on a simple 'multiple-thread' simulation which:



Although this is an initial, simplistic attempt, it is sufficient to demonstrate how the combined, synergetic effect of several discrete threads of flow might produce the geometry and dynamics which are closer to what are seen in the real river, including: