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Accessible Batch Catchment Delineation: A Semi-Automated Workflow for Non-Hydrologists

Accessible Batch Catchment Delineation: A Semi-Automated Workflow for Non-Hydrologists

This is a Preprint and has not been peer reviewed. This is version 3 of this Preprint.

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Authors

Johannes Balkenhol, Christoph Schröder, Daniel Morant, Carlos Rochera, Antonio Camacho

Abstract

Catchment delineation is a prerequisite for hydrological and water-quality analyses but remains a practical barrier for non-hydrologists, particularly when large numbers of sites must be processed. We present here a semi-automated, reproducible workflow for batch catchment delineation using openly available GIS tools. The workflow was developed during delineation of 2,870 monitoring sites assessed for the EU Water Framework Directive and evaluated in a 25-site case study in southern Spain. We compare delineations derived from multiple global Digital Elevation Models (DEMs) and assess their congruency with official catchment boundaries using Jaccard similarity. Results show that 1 arcsec DEMs, particularly FABDEM and Copernicus GLO-30, provide the most accurate and consistent delineations, while coarser products show larger variability. We identify recurring failure modes related to infrastructure, artificial drainage, reservoirs and endorheic basins, and propose low-effort quality-control steps. The workflow enables reliable large-scale catchment delineation for research, management and planning with minimal hydrological expertise.

DOI

https://doi.org/10.31223/X5ZN0N

Subjects

Life Sciences

Keywords

Drainage Area, catchment, Upslope Contributing Area, Semi-Automated, watershed, Delineation

Dates

Published: 2025-12-31 23:32

Last Updated: 2025-12-31 23:32

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License

CC-By Attribution-NonCommercial-NoDerivatives 4.0 International

Additional Metadata

Conflict of interest statement:
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Data Availability (Reason not available):
Data will be avalaible in a public repository after paper aceptation in a peer-review journal

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