Development of a Participatory Geographic Information System for Spatiotemporal Water Quality Monitoring in the Doña Juana Volcanic Geo-ecosystem: A Multi-Scale Approach

Samuel David Cañas Molina
scanas@arizona.edu
Presentation Time: Fri, 08/08/2025 - 10:00
Keywords: Participatory GIS, volcanic monitoring, water quality, community resilience, risk management, hydrothermal systems.

Abstract

This research presents the development and implementation of a cloud-based Participatory Geographic Information System (PGIS) for spatiotemporal water quality monitoring in the Doña Juana Volcanic Geo-ecosystem, Nariño, Colombia. Building upon transdisciplinary research that integrated local and generational knowledge with geochemical analysis, this work puts into use the four culturally recognized water types—mudas, orgánicas, tibias, and gordas—identified by inhabitants of Las Mesas and nearby villages into a web-accessible monitoring platform enabling continuous community-driven data collection. The methodology employs a three-tiered architecture: an ArcGIS Pro geodatabase with customized domains incorporating local water classifications; ArcGIS Field Maps for offline-capable mobile data collection by trained community monitors; and an ArcGIS Experience Builder web application providing real-time 3D visualization and spatiotemporal analysis. Community monitors use portable multiparameter probes to measure temperature (°C), pH, and total dissolved solids (ppm)—parameters that characterize hydrothermal activity through temperature variations, acidity changes, and mineral content fluctuations. This enables scientific documentation of characteristics they have traditionally observed while maintaining correlations between quantitative data and established classifications for detecting possible volcanic-related changes. By integrating PGIS principles with community-based monitoring, this research strengthens volcanic risk management through participatory approaches. Furthermore, this system empowers active environmental monitors capable of identifying anomalous patterns potentially signaling volcanic activity, fosters stronger socio-ecological relationships between inhabitants and their territory, and enhances response capacity. This work contributes to early warning systems research and establishes a replicable framework for community-based volcanic surveillance throughout Colombia and Latin America, where similar socio-ecological relationships exist between water, volcanoes, and communities.