Supported by CFAR-SRI IT
TOPOGRAPHIC ANALYSIS AND HYDROLOGIC MODELING FOR PRECISION FARMING
WORKPLACE DOCUMENT
http://www2.gis.uiuc.edu:2280/modviz/pfarm/farm1.html
Helena Mitasova, Bill Brown, Diane Tomlin, Lubos Mitas, Doug Johnston
Computed
with GRASS5.0
Field 14
DEM and topographic parameters
Water and sediment flow analysis
-
Simple index based on terrain geometry
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Process based simulation for 9mm/hr rainfall excess, surface rougness with
Manning's n=0.05 (results from SIMWE model, without tile)
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Process based simulation for an extreme event with 36mm/hr rainfall excess
(results from SIMWE model, without tile)
Note: Yield data along hillslope profile showing
relation to net erosion/deposition : example from Scheyern experimental
farm
Selected soil chemical properties
Yield data
Conclusion
While statistical analysis should provide more quantitative evaluation
of the relationships between various variables, the visual analysis clearly
shows that the terrain has a substantial impact on distribution of water,
nutrients (at least Om, P, K) and consequently on yields. Convex ridges
have local minimum in water, organic matter and nutrients are washed out
leading to low spots in yields. Concave and flat areas at watershed outlets
can have substantial accumulation of water with sediment and nutrient accumulation
and local maxima in yields.
Fields 26 and 35
DEM (10-30 times exagerrated), selected topographic parameters and wetness
index:
Water flow analysis
Process based simulation for 9mm/hr rainfall excess (rainfall intensity-infiltration),
surface rougness with Manning's n=0.05 (results from the SIMWE model, without
tile impact). Amount of water in the SE corner is underestimated because
part of the watershed is missing (we need to get or find the elevation
data (even with lower resolution) for the neighboring area to improve the
estimate.
Simulation of water depth for 25mm/hr rainfall intensity with 15mm/hr initial
infiltration for no-tile and 30mm/hr initial infiltration for tile. As
the soil gets saturated infiltration rate reduces to saturated hydraulic
conductivity 2mm/hr without tile and 5mm/hr with tile. No evaporation
was considered and infiltration is greatly simplified and spatially uniform.
The estimates are done with uncalibrated model so the results are not guaranteed
to be accurate - further development of technology is being done to get
more reliable results.
Methods/tools under development
Simulation of impact of an open channel on drainage of a small depression
using SIMWE:
This project is supported by CFAR-IT
GMSL Home Page
GMSL Modeling & Visualization Home Page
Contacts
Helena Mitasova (GMSLab)
helena@gis.uiuc.edu
Bill Brown (GMSLab)
brown@gis.uiuc.edu
Lubos Mitas (NCSA)
lmitas@ncsa.uiuc.edu