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Monitoring software for pollutant components in furrow irrigation runoff

Lentz, R.D. and Sojka, R.E. (1995) Monitoring software for pollutant components in furrow irrigation runoff. pp. 123-127. In: Ahuja., L. and Leppert, J. and Rojas, K. and Seely, E. (eds.) Proc. Workshop on Computer Applications in Water Management. 1995/05/23-25.

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Non-point source pollution from furrow-irrigated agriculture threatens surface water quality throughout
irrigated regions of the world. For example, sediment or dissolved chemicals contributed by irrigation
return-flows can degrade habitats and increase user costs downstream. The threat from these pollutants
has been fully appreciated only recently, resulting in an increased interest in runoff monitoring. However,
analysis of runoff data from furrow-irrigation is cumbersome and time consuming. Calibration functions
relating measured quantities to desired water-component concentrations must be obtained for each
treatment (e.g. a calibration function relating measured component volumes to runoff component
concentration). It is awkward and tedious to plot or analyze constituent runoff data by treatment. The
PASCAL program described here reads inflow and runoff data from an ASCII text file and derives.
displays, and statistically compares calibration functions for treatments or any other user-defined furrow
group. It employs the computed or a user-supplied function to calculate infiltration, runoff, and
component loss for each furrow. In addition, the software computes and plots group-averaged values for
inflow, outflow, infiltration, runoff constituent loss, and outflow constituent concentration as a function
of irrigation duration.

Item Type: Conference or Workshop Item (Paper)
NWISRL Publication Number: 0903
Additional Information: **A.K.A NWISRL PUBLICATION 903a**
Subjects: Irrigation > Furrow irrigation > Runoff losses
Research methodology
Mass Import - autoclassified (may be erroneous)
Depositing User: Users 6 not found.
Date Deposited: 20 Nov 2010 21:56
Last Modified: 22 Nov 2016 22:59
Item ID: 912