DSWD-RF: Nested Interpretable ML for Deep Soil Water Depletion

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Qifan Wu, Hang Xu, Fuyuan Su, Manli Duan, Beibei Zhou, Hailong He, Min Li, Qingfeng Hu, Huijie Li, Guangjie Chen, Peng Li, Ruimin Feng
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DOI: 10.5281/zenodo.18529894
Cited by: 0

Abstract

This repository contains code and data for the nested interpretable machine learning framework used to quantify mechanistic drivers of Deep Soil Water Depletion (DSWD) on the Loess Plateau, China. Update DOI and repository URLs in documentation.

Fields of Study & Subjects

Environmental and Agricultural Sciences Soil erosion and sediment transport Hydrological Forecasting Using AI

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 February 2026