Agricultural GDP exposure to drought and its machine learning-based prediction in the Jialing River Basin, China

Agricultural GDP exposure to drought and its machine learning-based prediction in the Jialing River Basin, China

Investigating agricultural exposure to drought and enabling its long-term predictions are critical for climate adaptation and cropland management. This study integrates hydrological modeling, machine learning methods, and long-term agricultural economic data from 1991 to 2020 in the Jialing River Ba...

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Bibliographic Details
Main Authors: Xinzhi Wang, Qingxia Lin, Zhiyong Wu, Yuliang Zhang, Changwen Li, Ji Liu, Shinan Zhang, Songyu Li
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Agricultural Water Management
Subjects:
Meteorological drought
Agricultural drought
Cropland exposure
Machine learning
Exposure prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S0378377424006012
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