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Prioritizing nature-based solutions in a data-constrained city through a parameterized geospatial multicriteria workflow
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DOI：10.1016/j.ufug.2026.129622.png)
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Abstract
En 中文
Nature-based solutions (NBS) are increasingly promoted for urban flood resilience, yet their integration into municipal planning is often constrained by limited spatial decision-support tools and insufficient typology-specific guidance. This study develops a transparent, parameterized geospatial multicriteria workflow, grounded in McHarg’s suitability analysis, to support the prioritization of NBS under data-constrained municipal conditions. Implemented in Sobral, Brazil, the workflow combines GIS processing, terrain-derived microbasins, indicator normalization, typology-specific Weighted Linear Combination (WLC), and composite suitability mapping. Eight spatial indicators were used, including imperviousness, terrain-derived drainage and morphometric attributes, riparian condition, water security, and network proximity to green areas. Four NBS typologies were assessed: rain gardens, stormwater planters, bioswales, and constructed wetlands. Diagnostic indicator layers showed that 29% of spring catchment areas and 35% of microbasin areas presented high imperviousness-related priority, while 5% of riparian buffer areas showed high exposure. These values describe underlying runoff-generation and riparian-degradation conditions rather than final suitability outcomes. The WLC maps revealed distinct typology-specific spatial logics: distributed interception for rain gardens and stormwater planters, linear conveyance for bioswales, and downstream detention and water-quality treatment for constructed wetlands. The composite surface identified least-regret priority areas where multiple intervention types converge, while sensitivity analysis confirmed the stability of most typology-specific outputs under moderate weight perturbation. Overall, the framework provides a replicable, decision-ready approach to support strategic NBS investment and subsequent typology selection in medium-sized, data-constrained cities.
Keywords:
Nature-Based Solutions
Blue infrastructure
Parametric Modeling
Landscape
Information Modeling
Suitability Analysis
Multicriteria Analysis
Journal
U
IF:
6.7
Papers:
299
Citations:
0
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