| Analysis and prediction of influencing factors of spring wheat dry\|hot wind disaster in Ningxia Hui Autonomous Region |
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| DOI：10.7606/j.issn.1000-7601.2023.05.30 |
| Key Words: spring wheat dry\|hot wind change characteristics influencing factors Ningxia |
| Author Name | Affiliation | | LI Xinlong | School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan, Ningxia 750021, China | | TAN Junli | School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan, Ningxia 750021, China
Engineering Research Center for Efficient Utilization of Water Resources in Modern Agriculture in Arid Areas, Ministry of Education, Yinchuan, Ningxia 750021, China
Ningxia Water\|saving Irrigation and Water Resource Control Engineering Technology Research Center, Yinchuan, Ningxia 750021, China | | DONG Lixia | School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan, Ningxia 750021, China | | WANG Xi’na | College of Agriculture, Ningxia University, Yinchuan, Ningxia 750021, China |
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| Abstract: |
| By analyzing the meteorological data of the 12 meteorological stations in Ningxia Hui Autonomous Region from 1980 to 2019, the dry\|hot wind was evaluated, and the temporal and spatial variation of the dry\|hot wind in the spring wheat planting area of Ningxia and the influence of meteorological factors on the dry\|hot wind were discussed. The results showed that the M-K test method shows that the number of dry-hot wind days in Ningxia has increased significantly in the past 40 years; however, there were differences between regions. The number of dry\|hot wind days in Wuzhong, Taole and Yanchi areas had decreased in recent years. From the perspective of the spatial distribution of the occurrence of dry-hot wind, the influence range of the dry-hot wind was gradually expanding, the center of gravity had a tendency to move south, and the altitude had a significant impact on the occurrence of the dry-hot wind; through Pearson’s correlation analysis, it can be seen that the high temperature and low humidity type dry-hot wind was affected by the highest daily temperature had the greatest impact, followed by relative humidity, and wind speed had a relatively small impact. After rain, the dry-hot wind of dry-hot wilt type was most affected by temperature changes, followed by precipitation. Based on meteorological factors, the number of dry-hot wind days in the whole region and each agro\|ecological region was constructed. The results from the prediction model had high reliability. |
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