Application of deep learning and temperature spatial field in the runoff simulation of headwaters of the Yarkant River

Authors

Chanjuan Zan (ORCID: https://orcid.org/0000-0001-7509-7298)
Tie Liu (ORCID: https://orcid.org/0000-0002-6879-4818)
Xiaofei Wang (ORCID: https://orcid.org/0000-0002-8647-5271)
Yue Huang (ORCID: https://orcid.org/0000-0002-0138-3192)
SI Wei'an
LI Zhongxu

Publication Details

Journal: 地理科学进展
Published: 2025-01-01
DOI: https://doi.org/10.18306/dlkxjz.2025.03.014
Citations: 3
Primary Topic: Hydrological Forecasting Using AI
Type: article
Field-Weighted Citation Impact: 2.40

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article

Application of deep learning and temperature spatial field in the runoff simulation of headwaters of the Yarkant River

Chanjuan Zan, Tie Liu, Xiaofei Wang, Yue Huang et al.

Jan 1, 2025

3 citations

地理科学进展

Hydrological Forecasting Using AI

2.40

article

Application of deep learning and temperature spatial field in the runoff simulation of headwaters of the Yarkant River

Chanjuan Zan, Tie Liu, Xiaofei Wang, Yue Huang, SI Wei'an, LI Zhongxu

January 1, 2025article en

3 citations

Abstract

No abstract available for this paper.

地理科学进展Vol. 44(3)

Openalex Percentile: Top 13%

Hydrological Forecasting Using AI

2.40

DOI Source OpenAlex

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Application of deep learning and temperature spatial field in the runoff simulation of headwaters of the Yarkant River — Chanjuan Zan, Tie Liu, et al. · 地理科学进展 (2025) | TGRS Research Map | TGRS