Abstract

Agricultural machinery's tillage and sowing processes can generate much farmland dust, adversely affecting the surrounding environment. Clarifying the dust emissions from various agricultural machinery operations and selecting a reasonable cultivation mode is significant for reducing dust in the atmosphere and protecting the environment. However, a systematic exploration of the agricultural dust generated during agricultural machinery operations is needed. Here, we designed a dust monitoring system to monitor farmland dust (PM2.5, PM10, and TSP) and environmental parameters at different points. The system is applied to monitor the dust emission concentration caused by agricultural machinery. We found the concentration of PM2.5, PM10, and TSP from straw returning operations to be 2.06, 3.16, and 2.84 times higher than that of ploughing operations. The increase in cultivation speed will lead to an increase in dust concentration. In straw returning operations, compared with low-speed, the increase in PM2.5, PM10, and TSP concentration during medium-speed cultivation is 21.6%, 12.5%, and 16.8%, whereas high-speed cultivation is 68.2%, 38.9%, and 35.7%, respectively. Moreover, conservation tillage modes can significantly suppress dust emissions. We found that conservation tillage produced the lowest concentrations of PM2.5, PM10, and TSP during the tillage and sowing stages, which were 64.7%, 73.1%, and 72.1%, compared to traditional tillage. As the amount of straw coverage increases, the dust concentration decreases. The average PM2.5, PM10, and TSP concentration increment of NTS with LSMQ increased by 307.8%, 344.8%, and 346.8%. Our results demonstrate that adopting a conservation tillage and sowing model and increasing straw coverage can reduce dust emissions. The research results have specific guiding significance for reducing dust emissions during the spring and autumn cultivation. We anticipate evaluating further the contribution of small particulate matter generated during agricultural machinery operations to air pollution, and our research will provide a basis for future work.

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