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Physically interpretable flood susceptibility mapping using spatial cross-validation and SHAP-derived environmental thresholds: A statistically validated framework

2026-08-20

Abstract excerpt

<title>Abstract</title> <p>The Triyuga River Watershed (621.45 km²), Nepal - characterized by fragile Siwalik lithology, high sediment yields, and chronic monsoon flooding - represents a critical region for hazard assessment. This study developed an interpretable framework combining environmentally constrained pseudo-absence sampling and five-fold spatial K-means cross-validation to benchmark four ML algorithms:...

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Literature Corpus work
b852d354-8cdb-5c51-b431-55e39330b640
DOI
10.21203/rs.3.rs-10471428/v1
Open publication

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Physically interpretable flood susceptibility mapping using spatial cross-validation and SHAP-derived environmental thresholds: A statistically validated frameworkDOI 10.21203/rs.3.rs-10471428/v1
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