Hydrological Model Data for 44 Cascading Lakes in Bengaluru

A hydrological model simulates runoff and sewage flows across 44 interconnected lakes in Bengaluru's Hebbal-Nagavara Valley. Rashmi Kulranjan developed the model using high-resolution observed data at 15-minute intervals to calibrate it under varying management scenarios. The data reveals upstream lakes are sensitive to seasonal catchment characteristics, while downstream lakes are influenced by accumulated flows.

Use Cases

• Modeling upstream-downstream interactions in lake networks based on cascade spatial position.
• Simulating runoff and sewage flow impacts under different management scenarios.
• Analyzing temporal variability of lake water quantity at 15-minute intervals.
• Developing diagnostic typologies linking lake function to inflow type and spatial location.
• Evaluating lake effectiveness as flood buffers, ecological sites, or storage reservoirs.

Strengths

• Model calibrated with high-resolution observed data at 15-minute intervals.
• Simulates flows for 44 interconnected lakes under varying scenarios.
• Focus on a specific cascading lake network in Bengaluru, India.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a 17.5 KB DOCX document, suggesting limited raw data scope.

Provenance

Source

Rashmi Kulranjan

Collection Method

Hydrological modeling calibrated with observed data.

Freshness

Last updated 2026-03-19 12:07:15; freshness should be verified.

Geography

Hebbal-Nagavara Valley, Bengaluru, India