Issue |
BIO Web Conf.
Volume 123, 2024
The 1st International Seminar on Tropical Bioresources Advancement and Technology (ISOTOBAT 2024)
|
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Article Number | 04011 | |
Number of page(s) | 9 | |
Section | Innovative Technologies in Bioresource Science and Engineering | |
DOI | https://doi.org/10.1051/bioconf/202412304011 | |
Published online | 30 August 2024 |
Refining the irrigation water requirement model for paddy field land preparation by empirical data
1 Department of Civil and Environmental Engineering, IPB University, Bogor, Indonesia
2 Department of Civil Engineering, Ibnu Khaldun University, Bogor, Indonesia
3 Technical Implementation Unit for Irrigation, Directorate of Water Resources, Ministry of Public Works and Public Housing, Jakarta, Indonesia
* Corresponding author: chusnul_arif@apps.ipb.ac.id
Currently, the reference for establishing irrigation water requirements for paddy field land preparation (KAIPL) relies on the Van de Goor & Zijlstra (VGZ) model, assuming a constant discharge. While practical for planning, this method often leads to wasteful implementation. Thus, this study aims to introduce a refined model for determining KAIPL (modified model of VGZ, called MVGZ), emphasizing water efficiency through intermittent irrigation. The proposed model integrates inundation during specific periods and at varying water levels applied to three distinct soil textures. To validate its effectiveness, the model was compared against field measurements conducted at two locations in Karawang, West Java, and Gowa, South Sulawesi. Findings reveal distinct coefficients for heavy, medium, and light soil textures—0.79, 0.76, and 0.73 respectively. Compared to the VGZ model, the developed model demonstrates significant water savings ranging from 10% to 36%, ensuring more efficient irrigation practices. Thus, the MVGZ model emerges as a promising tool for determining KAIPL with enhanced water conservation capabilities.
© The Authors, published by EDP Sciences, 2024
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.
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