Study on adaptive regulation based on water supply-demand system structure and water use desirability under extreme drought

F Zhang, Z Wu, H Xu, H Wang, X Zhang… - International Journal of …, 2024 - Elsevier
The frequent occurrence of drought events has changed the structure of the water supply-
demand system, seriously hindering the sustainable development of society. This study aims …

Can reservoir and groundwater storage buffer the impacts of climate-induced declines in snowpack storage for agriculture and the environment? Insights from the …

B Baah-Kumi, GFS Boisramé, MH Taylor… - Journal of Hydrology, 2024 - Elsevier
Climate-induced declines in snowpack storage have profound consequences for snowmelt-
dependent river basins globally, including those in the western United States. These basins …

Crop Selection and Cultivaton using Machine Learning

TS Kumar, S Arunprasad, A Eniyan… - … and Control for …, 2023 - ieeexplore.ieee.org
In the face of the growing global population and the challenges posed by climate change,
sustainable agriculture practices are essential. This paper explores the use of Machine …

An Overview of Machine Learning for Mechanical Applications

S Arunprasad, L Saravanakumar… - … and Control for …, 2023 - ieeexplore.ieee.org
The international economy is undergoing continual change. Machine learning has the
potential to transform several sectors, including mechanical engineering. Implementation …

Propagation process‐based agricultural drought typology and its copula‐based risk

L Li, J Liu, Q Peng, X Wang, J Xu, H Cai - Irrigation and Drainage - Wiley Online Library
Determining the risks associated with different drought event types can be beneficial for
related scientific research and management strategies. In this study, we proposed an …

Snow transport in extreme environments: from small to large scale modeling

D Brito Melo - 2023 - infoscience.epfl.ch
The cold regions on Earth, such as the polar and high mountain regions, are snow covered
for at least a part of the year. These snow-covered surfaces are highly dynamic, particularly …

[引用][C] Climate-Driven Maize Yield Prediction: A Machine Learning Approach

AS MAKINDE, ID ACHEME - 2023 - ajeas.abuad.edu.ng
This paper explores the extensive and far-reaching implications of climate change on global
maize yields, emphasizing the potential threats to food security and socioeconomic stability …