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

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

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Contacts

Helena Mitasova (GMSLab)
helena@gis.uiuc.edu
Bill Brown (GMSLab)
brown@gis.uiuc.edu
Lubos Mitas (NCSA)
lmitas@ncsa.uiuc.edu