Urbanisation impacts on streamflow extremes uncovered by explainable machine learning

Python scripts for producing main figures in the study of urbanisation impacts on streamflow extremes.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-27
DOI
https://doi.org/10.5281/zenodo.15755841
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Urbanisation impacts on streamflow extremes uncovered by explainable machine learning

Zenodo (CERN European Organization for Nuclear Research)
Flood Risk Assessment and Management
article

Urbanisation impacts on streamflow extremes uncovered by explainable machine learning

article en

Abstract

Python scripts for producing main figures in the study of urbanisation impacts on streamflow extremes.

Zenodo (CERN European Organization for Nuclear Research)
University of Oxford (GB)
Sustainable cities and communities
Openalex Percentile: Top 58%
Flood Risk Assessment and Management
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Urbanisation impacts on streamflow extremes uncovered by explainable machine learning · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS