Theses and Dissertations
ORCID
https://orcid.org/0009-0007-2583-8466
Advisor
Ramirez-Avila, John J.
Committee Member
Freyne, Seamus F.
Committee Member
Locke, Martin A.
Date of Degree
5-10-2024
Original embargo terms
Embargo 1 year
Document Type
Graduate Thesis - Open Access
Major
Civil Engineering
Degree Name
Master of Science (M.S.)
College
James Worth Bagley College of Engineering
Department
Department of Civil and Environmental Engineering
Abstract
Understanding the dynamics of agricultural basins has been difficult for decision-makers when developing cost-effective plans. An uncertainty analysis evaluates the impact of information gaps on hydrologic model’s output and performance. The Agricultural Policy/Environmental Extender (APEX v1501) was used to predict runoff, crop yield, sediment load, total phosphorus, and total nitrogen from agricultural fields in the Mississippi Delta to investigate the impact of using different input variables (climate, soils, and management practices) on mechanistic models. Results indicated that the use of surrogate information such as weather data from close weather stations, a predominant soil series, and simulated irrigation schedules, could be considered when available in situ information is restricted. Overall results provided information on model setup and output interpretation that may be useful to Mississippi Delta decision-makers.
Recommended Citation
Méndez Monroy, Javier Fernando, "Uncertainty analysis for runoff, crop yield, sediment, and nutrient loads in the Mississippi Delta region using APEX" (2024). Theses and Dissertations. 6141.
https://scholarsjunction.msstate.edu/td/6141