# JolPulse — Environmental Scenario Lab

> 96 synthetic flood scenarios linking rainfall, river response and fictional response capacity. Uncalibrated screening exercise; no live sensors, warnings or evacuation advice.

- Canonical URL: https://khanio.co.technology/
- Methodology & Equations: https://khanio.co.technology/methodology/
- Interactive Browser Runtime: https://khanio.co.technology/run/
- Author & Root Entity: Mohammad Rezwan Khan, PhD (https://mrkhan.co.technology/#person)
- Ecosystem Directory: https://mklab.co.technology/
- Knowledge Graph JSON-LD: https://khanio.co.technology/knowledge-graph.jsonld

## Governing Mathematical Formulation & Units
- Formula: `Runoff_Proxy (mm) = Rain_24h (mm) × Runoff_Fraction(Soil_Saturation); Stage_Index(t) = Margin_0 − Trend (m/h) × t; Corridor_Route = argmin_{path} Σ Edge_Travel_Time subject to Edge_Open = true and Hub_Capacity ≥ People`
- Units: 24-hour rainfall and runoff proxy in millimetres (mm); soil saturation in %; river stage margin in metres (m); stage trend in metres/hour (m/h); horizon in hours (6 h to 72 h); group size in persons.

## Reproducible Worked Example
Case 'sunamganj-baseline-6' (Sunamganj Haor/Surma basin, 6-hour horizon, 120 people): 24h rainfall = 148.0 mm at 84.0% soil saturation yields illustrative runoff_fraction = 0.708 and runoff_proxy = 104.78 mm. With initial margin = 0.55 m and rise trend = 0.045 m/h, the capacity-aware shortest-path solver selects open fictional response corridors and generates bilingual (English/Bangla) exercise briefs.

## Canonical Companion Modules on this Domain
- **AsterVale Atlas** (https://khanio.co.technology/environmental-indicators/): Seven-indicator environmental comparison across synthetic study areas. Boundary: Illustrative indicators; not measured field evidence or certified environmental assessment.