| 冯 徽1，韩忠玲2，程勇翔1.陕甘宁春玉米低温冷害动态监测研究[J].广东农业科学,2018,45(5):112-119 |
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陕甘宁春玉米低温冷害动态监测研究 |
| Dynamic monitoring of spring maize chilling injury in Shaanxi-Gansu-Ningxia Area |
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| DOI：10.16768/j.issn.1004-874X.2018.05.019 |
| 中文关键词: 春玉米 冷害 微波 平均气温 发育期 动态监测 |
| 英文关键词: spring maize chilling injury microwave daily mean temperature developmental phase dynamic monitoring |
| 基金项目:石河子大学高层次人才启动项目（CZX201429） |
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| 摘要点击次数: 1970 |
| 全文下载次数: 729 |
| 中文摘要: |
| 为提高逐日温度推算精度，采用微波亮温趋势面信息与地理因子相联合的方法，建立多元回归
方程，实现了研究区2010 年逐日平均气温的推算。所获逐日平均气温经验证，模拟结果与气象站观测结果
均方根误差为1.75℃。微波趋势面信息的加入可使逐日平均气温的推算精度提高0.37℃。通过构建的春玉
米动态发育期图，提高了春玉米冷害监测时监测指标和发育期的配合度。所获得陕甘宁春玉米冷害监测结
果与2011 年农业气象灾害统计年鉴的报道在时空上相吻合。研究构建的冷害监测方法简单有效，可为陕甘
宁春玉米大范围冷害动态监测提供技术支持。 |
| 英文摘要: |
| In order to improve the estimated accuracy of daily mean temperature，multiple regression equations
were constru-cted by coupling microwave brightness temperature and geographical factors，which realized the
calculation of daily mean temperature of the study area in 2010. Upon verification of the obtained daily mean
temperature，the Root-Mean-Square betw-een the simulated results and the observations from weather station was
1.75℃. The addition of the microwave brightness c-an increase the estimated accuracy of daily mean temperature by
0.37℃. The dynamic graph for spring maize developmental phase constructed in the study improved the compatibility
between the monitoring indicators and the developmental phaseat the monitoring time of spring maize for chilling
injury. The results obtained from monitoring spring maize for chilling in-jury in Shaanxi-Gansu-Ningxia are and the
Yearbook of Meteorological Disasters in China in 2011 are consistent with eachother in time and space.The chilling
injury monitoring method constructed in the study is simple and effective，and it can p-rovide technical support for
the dynamic monitoring for chilling injury of spring maize on a large scale in Shaanxi-Gansu-Ningxia. |
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