Characteristics of Ammonia Emissions from the use of Compost manure and Composite Fertilizer in Upland Field

Abstract

Objectives This study aimed to monitor ammonia volatilization in upland fields under different nitrogen fertilizer applications, comparing compost manure (CM) and composite fertilizer (CF) and investigate the environmental factors influencing ammonia volatilization. Methods Ammonia was collected using the static chamber method in upland fields, and the soil analyses were conducted before and after ammonia volatilization monitoring. Pearson's correlation analysis and machine learning were utilized to determine the relationship between ammonia volatilization and environmental factors. Growth characteristics of harvested crops were analyzed, and Duncan analysis confirmed significant differences between nitrogen fertilizer treatments. Results and Discussion In both CM and CF fertilized fields, there was no significant difference in ammonia volatilization. However, more ammonia volatilization was observed in the potato field compared to the Chinese cabbage field, attributed to higher NH4+-N content in the soil of the potato field. Machine learning identified soil temperature and moisture as significant factors affecting ammonia volatilization. The analysis of crop growth revealed a positive effect of increased nitrogen fertilizer application. The result showed that single CM application was insufficient to meet crop nutrient demands. Conclusion This study quantified ammonia emissions, identified influencing factors, and provided valuable data for enhancing fertilizer use efficiency and nitrogen management strategies in agriculture.

Keywords

• ammonia emission
• compost manure
• composite fertilizer
• soil nh-n concentration
• machine learning