Mapping data poverty in the water environment: national-scale assessment of gaps and biases in the Philippine hydrometric network

Poor and uneven freshwater monitoring undermines the vision of data-driven water governance in the Global South. This paper examines coverage gaps in the Philippine hydrometric network based on benchmarks for equitable monitoring and other geospatial criteria: disaster risk, climate type, ecoregions, basin importance and infrastructure priority. A large-river bias is evident in the network. Stations are also found to be disproportionately concentrated in cities (p < 0.05), built-up areas (p < 0.05) and densely populated localities (p < 0.001). Monitoring improvements should prioritize targeted network expansion, redistributive investments in ungauged watersheds and harmonized data co-production among currently siloed water institutions.

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Publication Details

Journal
International Journal of Water Resources Development
Published
2026-10-09
DOI
https://doi.org/10.1080/07900627.2026.2721419
Primary Topic
Environmental Monitoring and Data Management
Type
article
Field-Weighted Citation Impact
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article

Mapping data poverty in the water environment: national-scale assessment of gaps and biases in the Philippine hydrometric network

Cherry L. Ringor, Richard Cornelio
International Journal of Water Resources Development
Environmental Monitoring and Data Management
article

Mapping data poverty in the water environment: national-scale assessment of gaps and biases in the Philippine hydrometric network

Cherry L. Ringor, Richard Cornelio
article en

Abstract

Poor and uneven freshwater monitoring undermines the vision of data-driven water governance in the Global South. This paper examines coverage gaps in the Philippine hydrometric network based on benchmarks for equitable monitoring and other geospatial criteria: disaster risk, climate type, ecoregions, basin importance and infrastructure priority. A large-river bias is evident in the network. Stations are also found to be disproportionately concentrated in cities (p < 0.05), built-up areas (p < 0.05) and densely populated localities (p < 0.001). Monitoring improvements should prioritize targeted network expansion, redistributive investments in ungauged watersheds and harmonized data co-production among currently siloed water institutions.

International Journal of Water Resources Development
University of the Philippines Diliman (PH)
Openalex Percentile: Top 10%
Environmental Monitoring and Data Management
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Mapping data poverty in the water environment: national-scale assessment of gaps and biases in the Philippine hydrometric network — Cherry L. Ringor, Richard Cornelio · International Journal of Water Resources Development (2026) | TGRS Research Map | TGRS