Abstract：In order to better understand the occurrence and development laws and impact scope of dry hot wind disasters in Shandong Province under the environment of climate warming,this article uses the observation data of the national meteorological observation station in Shandong Province,and adopts the correlation coefficient method and the inverse distance weight spatial difference method to statistically analyze the changes in climatic conditions and the occurrence of dry hot wind disasters in Shandong Province from 1972 to 2021.The results indicate that the occurrence and development of dry and hot wind disasters in Shandong Province are mainly affected by the average daily maximum temperature and the average daily relative humidity at 14:00.The average daily wind speed at 14:00 has little effect on dry and hot wind disasters.The average daily maximum temperature in Shandong Province is showing a significant upward trend.The average daily maximum temperature in the eastern coastal areas of the Shandong Peninsula is significantly lower than that in the inland areas,but the upward trend of the average daily maximum temperature in the peninsula areas is greater than that in the inland areas.The average daily relative humidity of 14:00 in Shandong Province shows a significant downward trend,with the decline trend in central and northeastern Shandong being significantly smaller than in other regions.The average daily relative humidity of 14:00 in central Shandong,southwestern Shandong,and the peninsula region also shows a significant downward trend.The overall occurrence of dry and hot wind disasters in Shandong Province is more frequent in the northwest and northern parts of Shandong Province,and less frequent in the southern part of Shandong Province and the eastern part of the peninsula.There is a clear trend of increasing dry and hot wind disasters in the central,southeastern,and eastern parts of Shandong Province,while some areas in the northwest,southwestern,and northeastern parts of Shandong Province show a decreasing trend.The research results can provide theoretical basis for the development of agricultural meteorological services and the timely use of disaster reduction and control technologies.
2025, Vol. 42 
