Traditional energy consumption raises greenhouse gas emissions, which is a major concern in China. Agricultural energy consumption accounts for one third of China’s greenhouse gas emissions. Thus, current patterns of energy consumption on farms are both unsustainable and inadequate since rural communities in emerging nations have limited access to energy sources. This study explores the factors affecting the adoption of renewable energy on farms and examines the effect of such adoption on technical efficiency.

The desert, which covers around one-third of Earth’s continental surface, is defined as the harshest terrestrial environment and comprises a highly extensive biome of the terrestrial ecosystem. Microorganisms are key drivers that maintain the integrity of desert terrestrial ecosystems. Over the past few decades, desertification has increased owing to changes in rainfall patterns and global warming, characterized by land degradation, loss of microbial diversity (biocrust diversity), and multifunctionality with time.

In this paper, a GPU-accelerated Cholesky decomposition technique and a coupled anisotropic random field are suggested for use in the modeling of diversion tunnels. Combining the advantages of GPU and CPU processing with MATLAB programming control yields the most efficient method for creating large numerical model random fields. Based on the geological structural characteristics of red-bedded soft rocks in central Yunnan, anisotropic rock random fields and tunnel excavation with various rotation degrees are simulated.