人工智能算法在干旱预测中的应用研究

Mengxi Liu, Guangjun Zai, Guofu Wang, Weiwei Shi, Guanqun Zhang
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引用次数: 0

摘要

随着全球气候变暖的加剧,干旱对社会和国民经济造成的影响越来越严重,因此对干旱的准确预测也是应对干旱频发问题的重中之重。另一方面,人工智能技术已经在各个领域显示出优势,具有广阔的应用前景,因此正在逐步应用于干旱预测。本文对近年来的干旱预测算法进行了综述,并研究了针对不同干旱指标采用不同算法模型进行干旱预测的现有案例。比较了不同算法的优缺点,总结了干旱预测面临的挑战,展望了干旱预测的未来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the application of artificial intelligence algorithms in drought prediction
With the aggravation of global warming, drought has caused more and more serious impact on society and national economy, so the accurate prediction of drought is also the most important thing to deal with the frequent drought problem. On the other hand, artificial intelligence technology has shown its advantages in various fields and has a broad application prospects, so it is gradually being used in drought prediction. In this paper, drought prediction algorithms in recent years are reviewed, and existing cases of drought prediction using different arithmetic models for different drought indices are studied. The advantages and disadvantages of different algorithms are compared, the challenges of drought prediction are summarized, and the future of drought prediction is prospected.
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