Open Access. Powered by Scholars. Published by Universities.®

Bioresource and Agricultural Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 3 of 3

Full-Text Articles in Bioresource and Agricultural Engineering

2015 Nebraska Groundwater Quality Monitoring Report Jan 2015

2015 Nebraska Groundwater Quality Monitoring Report

Nebraska Department of Environmental Quality: Reports

The 2001 Nebraska Legislature passed LB329 (Neb. Rev. Stat. §46-1304) which, in part, directed the Nebraska Department of Environmental Quality (NDEQ) to report on groundwater quality monitoring in Nebraska. Reports have been issued annually since December 2001. The text of the statute applicable to this report follows: “The Department of Environmental Quality shall prepare a report outlining the extent of ground water quality monitoring conducted by natural resources districts during the preceding calendar year. The department shall analyze the data collected for the purpose of determining whether or not ground water quality is degrading or improving and shall present the …


2015 Nebraska Water Monitoring Programs Report, Marty Link, Ryan Chapman Jan 2015

2015 Nebraska Water Monitoring Programs Report, Marty Link, Ryan Chapman

Nebraska Department of Environmental Quality: Reports

The Nebraska Department of Environmental Quality (NDEQ) is charged with monitoring, assessing, and to the extent possible, managing the state’s water resources. The purpose of this work is to protect and maintain high quality water and encourage or execute activities to improve poor water quality. Monitoring is done on nearly 17,000 miles of flowing rivers and streams, more than 134,000 acres of surface water in lakes and reservoirs, as well as the vast storage of groundwater in Nebraska’s aquifers.


Uncertainty Analysis Of An Irrigation Scheduling Model For Water Management In Crop Production, S. Mun, G. F. Sassenrath, Amy M. Schmidt, N. Lee, M. C. Wadsworth, B. Rice, Jason Q, Corbitt, J. M. Schneider, M. L. Tagert, J. Pote, R. Prabhu Jan 2015

Uncertainty Analysis Of An Irrigation Scheduling Model For Water Management In Crop Production, S. Mun, G. F. Sassenrath, Amy M. Schmidt, N. Lee, M. C. Wadsworth, B. Rice, Jason Q, Corbitt, J. M. Schneider, M. L. Tagert, J. Pote, R. Prabhu

Department of Biological Systems Engineering: Papers and Publications

Irrigation scheduling tools are critical to allow producers to effectively manage water resources for crop production. To be useful, these tools need to be accurate, complete, and relatively reliable. The current work presents an uncertainty analysis and its results for the Mississippi Irrigation Scheduling Tool (MIST) model, showing the margin of error (uncertainty) of the resulting irrigation advice arising solely from the propagation of measurement uncertainty through the MIST calculations. The final relative uncertainty in the water balance value from MIST was shown to be around 9% of that value, which is in the normal range of the margin of …