Evaluation of EPIC for Assessing Tile Flow and Nitrogen Losses for Alternative Agricultural Management Systems

Thumbnail Image
Date
2002-01-01
Authors
Chung, Se-Woong
Gassmann, Philip
Gu, Roy
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Authors
Person
Kanwar, Rameshwar
Distinguished Professor
Research Projects
Organizational Units
Organizational Unit
Agricultural and Biosystems Engineering

Since 1905, the Department of Agricultural Engineering, now the Department of Agricultural and Biosystems Engineering (ABE), has been a leader in providing engineering solutions to agricultural problems in the United States and the world. The department’s original mission was to mechanize agriculture. That mission has evolved to encompass a global view of the entire food production system–the wise management of natural resources in the production, processing, storage, handling, and use of food fiber and other biological products.

History
In 1905 Agricultural Engineering was recognized as a subdivision of the Department of Agronomy, and in 1907 it was recognized as a unique department. It was renamed the Department of Agricultural and Biosystems Engineering in 1990. The department merged with the Department of Industrial Education and Technology in 2004.

Dates of Existence
1905–present

Historical Names

  • Department of Agricultural Engineering (1907–1990)

Related Units

Journal Issue
Is Version Of
Versions
Series
Abstract

The Erosion Productivity Impact Calculator (EPIC) model has been successfully applied for agricultural policy analyses for more than a decade. EPIC has been tested and validated under a wide range of conditions; however, there is an ongoing need to further test the model to improve its prediction capabilities. In this study, EPIC was calibrated and validated using 3 years (1990–1992) of data collected from a field site near Nashua, Iowa. The model’s performance was evaluated by assessing its ability to replicate the effects of various tillage and crop rotation systems on subsurface tile flow, nitrate–nitrogen (NO3–N) loss with tile flow, and crop yield. Predicted annual average tile flows and nitrate losses in the tile flows were generally within 10% of measured values; the major exceptions were errors of 19.3% and 58.3% predicted for tile flow and nitrate loss for a no–tilled corn–soybean rotation system. Comparisons of monthly predictions with measured values resulted in r2 values between 0.67 and 0.89 for the tile flows and 0.60 to 0.83 for the associated nitrate losses in the tile flows. Paired t–tests that accounted for tillage and crop rotation effects on tile flow and nitrate losses showed that EPIC was in agreement with observed values in 11 out of 14 comparisons. However, EPIC showed a limited capability to reproduce tillage and crop rotation effects on crop yield, similar to results found in several previous studies. Further testing of EPIC is needed to refine and improve the model’s performance under conditions similar to those at the Nashua site.

Comments

This article is from Transactions of the ASAE 45 (2002): 1135–1146, doi:10.13031/2013.9922. Posted with permission.

Description
Keywords
Citation
DOI
Copyright
Tue Jan 01 00:00:00 UTC 2002
Collections