A Simulation Study Using Machine Learning and Formula Methods to Assess the Soybean Groundwater Contribution in a Drought-Prone Region
点击次数:
DOI码:10.3390/w14193092
发表刊物:Water
第一作者:Zhang Yuliang, Zhou, Yuliang, Jiang, Shangming, Ning, Shaowei, Jin, Juliang, Cui, Yi, . . . Feng, Huihui
论文类型:Article
文献类型:Journal Article
卷号:14
期号:19
页面范围:3092
是否译文:否
发表时间:2022-01-01
上一条: Improvement of a combination of TMPA (or IMERG) and ground-based precipitation and application to a typical region of the East China Plain
下一条: Quantitative Assessment Model for the Effects of Drought Mitigation on Regional Agriculture Based on an Expectation Index of Drought Mitigation Effects