Transforming Water Stage to River Flow via Real-Time Python and GIS Analysis

In this hands-on webinar, you will learn how to estimate transient river discharge by combining observed water stage time series with geospatial and terrain data using Python. Starting from a DEM raster and a cross-section shapefile, we will use GeoPandas and Rasterio to extract channel geometry and compute key hydraulic parameters — including cross-sectional area, wetted perimeter, hydraulic radius, and local bed slope — along a sampled transect. We will then apply Manning's equation iteratively across a time series of water stage measurements (loaded from field observations in Excel) to produce a continuous discharge record in m³/s, and visualize the relationship between water stage and flow on a dual-axis time series plot — giving you a practical, reproducible workflow to turn raw stage data into actionable streamflow estimates.

Instructor / Instructor:

Saul Montoya M.Sc

Hydrogeologist - Numerical Modeler

Mr. Montoya is a Civil Engineer graduated from the Catholic University in Lima with postgraduate studies in Management and Engineering of Water Resources (WAREM Program) from Stuttgart University – Germany with mention in Groundwater Engineering and Hydroinformatics. Mr Montoya has a strong analytical capacity for the interpretation, conceptualization and modeling of the surface and underground water cycle and their interaction. He is in charge of numerical modeling for contaminant transport and remediation systems of contaminated sites. Inside his hydrological and hydrogeological investigations Mr. Montoya has developed an holistic comprehension of the water cycle, understanding and quantifying the main hydrological dynamic process of precipitation, runoff, evaporation and recharge to the groundwater system.

Language / Lenguaje:

English

Event date / Fecha del evento:

Tuesday, 26 May 2026 at 6:00 pm Amsterdam Time

Hosted by / Organizado por:

Hatarilabs