Status : Verified
| Personal Name | Galoso, John Ruzzel M. |
|---|---|
| Resource Title | Assessment and Optimization of Irrigation Distribution using GIS-based Network Analysis: Case of Sta. Maria River Irrigation System (SMRIS) |
| Date Issued | 14 June 2026 |
| Abstract | The Sta. Maria River Irrigation System (SMRIS), a 919-hectare gravity-fed irrigation system in Laguna, has long exhibited water delivery inequities that constrain rice productivity at tail-end areas. This study developed an integrated, open-source GIS framework to assess and optimize water distribution at SMRIS during the 2022 Dry Season. Four objectives were pursued: (1) construction of a portable GeoPackage spatial database integrating 1,145 parcels, 20 canal stretches, 34 flowpoints, and 154 turnouts; (2) estimation of bi-weekly crop water requirements using the SAFER model on Sentinel-2 imagery; (3) implementation of QGIS Processing plugins for flow distribution, parcel-level demand routing, performance assessment, and gate-schedule optimization; and (4) generation of Adequacy and Irrigation Priority Index (IPI) thematic maps under baseline and rotational scenarios. Calibration against 156 field discharge measurements yielded NSE = 0.9810, KGE = 0.8569, and PBIAS = +12.56% shows a good performance rating. Baseline analysis showed 34.6% of the service area below the FAO 80% adequacy threshold, with Lateral C and the Mata sub-network as chronic deficit areas. A simulated rotational schedule raised Lateral C adequacy from 71.5% to 88.2% and Lateral F from 67% to 74%, confirming that distributional inequity, not absolute shortage, drives the supply problem. The framework offers NIA and SANTAMASI IA a replicable, license-free decision-support tool. |
| Degree Course | MS Geomatics Engineering |
| Language | English |
| Keyword | GIS, rice irrigation, SMRIS, SAFER Model, remote sensing, geomatics, irrigation system |
| Material Type | Thesis/Dissertation |
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