| Issue |
MATEC Web of Conferences
Volume 159, 2018
The 2nd International Joint Conference on Advanced Engineering and Technology (IJCAET 2017) and International Symposium on Advanced Mechanical and Power Engineering (ISAMPE 2017)
|
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|---|---|---|
| Article Number | 01026 | |
| Number of page(s) | 6 | |
| Section | Built Environment | |
| DOI | https://doi.org/10.1051/matecconf/201815901026 | |
| Published online | 30 March 2018 | |
Optimization of irrigation water use to increase the benefit of agricultural products
1
Water Resources Engineering Research Group, FCEE, Institut Teknologi Bandung, Indonesia.
2
Master Program in Water Resources Management, FCEE, Institut Teknologi Bandung, Indonesia.
3
Citarum River Basin Authority, Ministry of Public Works and Housing, Indonesia.
* Corresponding author: edyas209@gmail.com
Shortage of irrigation water supply in dry season prevents many farmers from growing their crops, and the annual benefit from agricultural products will decrease as much as the area of irrigation fields which have lack of water. The objective of this study is to determine the maximum benefit from agricultural products based on water availability, by determining the appropriate cropping pattern and maximum planting areas through linear programming. The case-study location is at Leuwi Kuya Irrigation Region. Planting schedule is selected based on minimum water shortage from simulation of 6 alternative planting schedules. Then, the best pattern of cropping (planting method and the total area) is determined using linear programming. Optimization is carried out in 3 scenarios with various planting methods (conventional and SRI), minimum irrigation water demand (class-area system), and schedule for beginning of the 3-growing seasons annually. Result of this study is the optimal area of the irrigated region that can be planted based on the water availability. The maximum benefit is 89 billion rupiahs, using SRI planting method and distribution of three groups of irrigation fields in water supply schedule.
Key words: Optimization / linear programming / irrigation / planting area
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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