Developing a Decision Support System for Economic Analysis of Irrigation Applications in Temperate Zones
| Autor: | Manashi Paul, Kalim Hanna, Adel Shirmohammadi, Masoud Negahban-Azar |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
irrigation technologies
Irrigation 010504 meteorology & atmospheric sciences Soil and Water Assessment Tool decision support system 0208 environmental biotechnology Geography Planning and Development 02 engineering and technology Aquatic Science cropping system 01 natural sciences Biochemistry irrigation scheduling economic analysis Capital cost SWAT model Agricultural productivity TD201-500 0105 earth and related environmental sciences Water Science and Technology Water supply for domestic and industrial purposes business.industry temperate zone Irrigation scheduling Hydraulic engineering 020801 environmental engineering Agriculture Environmental science Economic model Water resource management business TC1-978 |
| Zdroj: | Water, Vol 13, Iss 2044, p 2044 (2021) Water Volume 13 Issue 15 |
| ISSN: | 2073-4441 |
| Popis: | Climate variability and farmers’ desire to improve the 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. |
| Databáze: | OpenAIRE |
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