A GIS-integrated hydrological modeling and Analytic Hierarchy Process framework identifies and prioritizes Stormwater Drainage Outlets for urban stormwater harvesting. The methodology evaluates hotspot suitability based on runoff–demand ratio, weighted average distance, slope, land use-land cover, and groundwater recharge potential across two spatial scales. The framework was applied to Bhopal, India, a rapidly growing city facing increasing water stress.
Use Cases
- Prioritizing stormwater harvesting sites based on runoff–demand ratio and accessibility criteria.
- Comparing hydrological availability versus localized conditions using different radii of influence.
- Supporting decentralized stormwater reuse decisions with a scalable GIS and AHP-based tool.
Strengths
- Framework incorporates multiple criteria: runoff–demand ratio, weighted average distance, slope, LULC, and groundwater recharge potential.
- Analysis conducted at two spatial scales (1 km and 0.5 km radius of influence) to reveal scale-dependent rankings.
Limitations
- Dataset size is 61.1 KB, indicating a very limited scope of data.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Indra Mani Tripathi via figshare.
- Collection Method
- A novel, GIS-integrated hydrological modeling and Analytic Hierarchy Process (AHP)–based framework.
- Freshness
- Last updated 2026-05-07 04:45:28; freshness should be verified.
- Geography
- Bhopal, India.