Economic and environmental trade-offs of irrigation best management practices in the Lower Arkansas River Valley

The flows of the Arkansas River cascade through the Rocky Mountains and spill into Colorado's eastern plains. In the Lower Arkansas River Valley (LARV), these flows serve irrigators on over 250,000 acres, and are critical to the production of everything from corn to cantaloupes. Concurrent to the "goods" produced with this irrigation, are a series of "bads" occurring in the form of pollution. Elevated selenium, nitrate, and salinity concentrations have been related to high volumes of irrigation return flows, and threaten compliance with the Arkansas River Compact. Implementing a series of regional land and water Best Management Practices (BMPs) is thought to reduce the negative impacts ("bads") of irrigated agriculture in the region and in some cases, increase the productivity of land and water ("goods"). A deeper understanding of impacts of proposed BMPs is required. The specific question I hope to answer with this thesis is "What are the economic and environmental trade-offs face by Lower Arkansas River Valley producers when implementing a series a land and water best management practices?" To answer this question, an economic linear programming (LP) model is written to maximize regional net returns for a representative area within the LARV, using the General Algebraic Modeling System (GAMS). The LP is calibrated to match the physical characteristics of the region, historic water application volumes, and the historic crop mix. BMPs are tested by constraining various equations in the model, resulting in a series of economic measures. These economic measures are then compared to the output of a water flow, and reactive solute transport model to quantify the trade-offs that exist between regional net returns, in-stream selenium concentrations, in-stream nitrate concentrations, and yield losses to soil salinity. The results of this analysis suggest the existence of win-win scenarios, which increase net returns, and reduce pollution concentrations. No single BMP outperforms all others, supporting the notion that LARV producers and water policy makers face trade-offs in their efforts to control irrigation-induced pollution.

Name thesis:degree_name

Master of Science (M.S.)

Level thesis:degree_level

Masters

Discipline thesis:degree_discipline

Agricultural and Resource Economics

Grantor dc:publisher

Colorado State University. Libraries

Year dc:date.issued

2017

Authors dc:creator

• Orlando, Anthony, author
• Hoag, Dana, advisor
• Goemans, Christopher, committee member
• Gates, Timothy K., committee member

• linear programming
• optimization
• economics
• water management
• non-point source pollution

Statement dc:rights

• Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.

Language dc:language.iso

eng, English

Identifier URI

https://doi.org/10.25675/3.018849

OAI identifier oai:identifier

oai:mountainscholar.org:10217/185662