| Title: | Developing a decision support system for economic analysis of irrigation applications in temperate zones |
| Authors: | Hanna, K., M. Paul, M. Negahban-Azar and A. Shirmohammadi |
| Year: | 2021 |
| Journal: | Water |
| Volume (Issue): | 13(15) |
| Pages: | |
| Article ID: | 2044 |
| DOI: | 10.3390/w13152044 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | irrigation impacts or irrigation BMP scenarios |
| Secondary Application Category: | economic assessment |
| Watershed Description: | 10,000 km^2 Pocomoke River, which drains portions of Virginia, the eastern shore of Maryland, and Delaware along on the east coast of the U.S. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Abstract: | Climate variability and farmers’ desire to improve crop yield have resulted in an increase in irrigated agriculture in the mid-Atlantic region. However, the huge initial capital cost associated with the installation and operation of irrigation systems is generally prohibitive, with most farmers finding difficulty in justifying the expenditure, and uncertainty of the overall return on their investment. The objective of this study was to develop a decision tool for farmers in temperate regions to evaluate the cost-benefit of irrigation installations. The developed irrigation economic model involved the development of an economic component that balances the expected economic return, based on anticipated crop yield increases due to supplemental irrigation, versus the water, maintenance, and capital costs associated with the irrigation system. Model development included the input of relevant data and required local calibration. Soil and Water Assessment Tool (SWAT) output files were used as the basis for data input into the irrigation economic model. An irrigation scheduling component was incorporated into the model to prescribe irrigation volumes for each agricultural field defined within the area of interest. The economic component of the model identifies and prioritizes those fields in which supplemental irrigation will result in the greatest economic return in terms of increased agricultural production and revenue. The study is conducted on the Pocomoke river basin in the Coastal Plain of Maryland’s eastern shore. Results showed that irrigation system selection was mainly influenced by cost of water and irrigation installation costs, and to a lesser extent by physical characteristics of the terrain and the associated properties. |
| Language: | English |
| Keywords: | irrigation scheduling; economic analysis; SWAT model; decision support system; temperate zone; cropping system; irrigation technologies |