Integrating Spatial Data to Develop Sustainable Policies for Managing Domestic Water Quality
Keywords:
คุณภาพน้ำอุปโภคบริโภค, การบูรณาการข้อมูลเชิงพื้นที่, นโยบายยั่งยืน, ระบบสารสนเทศภูมิศาสตร์, แบบจำลองเศรษฐมิติเชิงพื้นที่Abstract
Access to clean water is a fundamental human right, yet spatial disparities in tap water quality remain a significant challenge in Thailand. The lack of spatial analysis and integrated data often leads to inefficient resource allocation. Objective: To evaluate spatial disparities in water quality across 77 provinces, identify socioeconomic and environmental determinants, and develop sustainable water management policies through stakeholder engagement. Methods: A Sequential Explanatory Mixed-Methods design was employed. Phase 1 analyzed provincial-level spatial data (2020-2024) using Moran's I and spatial econometric models (OLS, SLM, SEM). Phase 2 involved an intensive multi-stakeholder workshop with 35 representatives from 14 organizations. Results: Significant spatial clustering of water quality issues was identified, highlighting 7 hotspot provinces in the North. The OLS model exhibited the best fit, revealing Nighttime Light density (ß = -1.84, p < 0.001) and the proportion of agricultural land (ß = -0.09, p < 0.05) as negative predictors. Workshop outcomes demonstrated a strong consensus, with stakeholders prioritizing the development of a National Water Quality Dashboard (85% agreement). Conclusion: Integrating spatial evidence with practitioners' perspectives mitigates siloed operations and yields highly practical, data-driven policy recommendations for targeted resource allocation.
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