# Interpretable multi-step hybrid deep learning model for karst spring discharge prediction: Integrating temporal fusion transformers with ensemble empirical mode decomposition

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/interpretable-multi-step-hybrid-deep-learning-model-for-karst-spring-discharge/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Renjie Zhou,Quanrong Wang,Aohan Jin,Wenguang Shi,Shi-Qi Liu |
| Citations | 22 |
| DOI | 10.1016/j.jhydrol.2024.132235 |
| Fields | Earth and Planetary Sciences,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4403600497 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Shi-Qi Liu](https://scholariq.org/researchers/shi-qi-liu/)

## Paper primary topic

- [Earth and Planetary Sciences](https://scholariq.org/topics/earth-and-planetary-sciences/)

## Paper topics

- [Landslides and related hazards](https://scholariq.org/topics/landslides-and-related-hazards/)
- [Groundwater and Watershed Analysis](https://scholariq.org/topics/groundwater-and-watershed-analysis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.