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Big Data-Driven Information System for Managing Recurrent Agricultural Drought in the Upper ING Watershed, Thailand: An Integrated Water Resources Management (IWRM) Approach

Author(s)
Sitthisak Pinmongkhonkul Department of Biology, School of Science, University of Phayao, Muang Phayao, 56000, Thailand
Niti Iamchuen Department of Geology School of Information and Communication Technology, University of Phayao, Muang Phayao, 56000, Thailand
Thanakorn Panyopo Department of Biology, School of Science, University of Phayao, Muang Phayao, 56000, Thailand
Panupong Chaiwongsaen Department of Geology School of Information and Communication Technology, University of Phayao, Muang Phayao, 56000, Thailand
Abstract
Agricultural drought poses a recurring threat to the Upper Ing Watershed in Phayao Province, Thailand, particularly in the rainfed areas outside irrigation schemes. This study introduces an integrated big data-driven information system to support sustainable water management in community-based agroecological landscapes. Using spatial analysis, participatory mapping, and remote sensing technologies including UAV-based LiDAR and satellite imagery the study established a geospatial database and mobile application to monitor water sources, assess water balance, and guide decision-making. The system, developed collaboratively with local stakeholders, enabled real-time data collection, drought severity mapping, and optimized irrigation planning at the sub-watershed scale. Results demonstrate that integrating big data with localized decision-making processes enhances water governance and drought resilience in vulnerable agricultural regions.
Publication Details
Page(s) 797-805
Published Journal: Pakistan Journal of Life and Social Sciences, Volume: 23, Issue: 2, Year: 2025

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Keywords
Big Data-Driven Integrated Water Resources Management (IWRM) Information System Recurrent Agricultural Drought
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