| Research progress and prospects of wheat drought monitoring technology |
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| DOI：10.7606/j.issn.1000-7601.2024.04.28 |
| Key Words: wheat drought monitoring technology research progress comparison of application effects |
| Author Name | Affiliation | | WANG Jinsong | Institute of Arid Meteorology, China Meteorological Administration, Key Laboratory of Drought Climate Change and Disaster Reduction, Gansu Province (China Meteorological Administration), Lanzhou, Gansu 730020, China | | YAO Yubi | Lanzhou Resources & Environment Voc\|Tech University, Lanzhou, Gansu 730021, China | | YUAN Shujie | Chengdu University of Information Technology, Chengdu, Sichuan 610225, China | | WANG Suping | Institute of Arid Meteorology, China Meteorological Administration, Key Laboratory of Drought Climate Change and Disaster Reduction, Gansu Province (China Meteorological Administration), Lanzhou, Gansu 730020, China | | WANG Jing | Institute of Arid Meteorology, China Meteorological Administration, Key Laboratory of Drought Climate Change and Disaster Reduction, Gansu Province (China Meteorological Administration), Lanzhou, Gansu 730020, China | | LU Xiaojuan | Institute of Arid Meteorology, China Meteorological Administration, Key Laboratory of Drought Climate Change and Disaster Reduction, Gansu Province (China Meteorological Administration), Lanzhou, Gansu 730020, China | | YANG Qingyi | Lanzhou Resources & Environment Voc\|Tech University, Lanzhou, Gansu 730021, China |
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| Abstract: |
| Providing wheat drought monitoring and early warning is of great significance for preventing and mitigating the economic losses caused by drought disasters. The development of wheat drought monitoring technology is the basis for objectively monitoring the degree of wheat drought and accurately reflecting the scope and duration of drought, thereby providing early warning of wheat drought disasters and effectively assessing its impact. This article systematically reviews the research progress of four wheat drought monitoring technologies at home and abroad, including wheat drought monitoring methods based on conventional ground observations, wheat drought monitoring methods based on moisture control experiments, and crop model simulation and remote sensing methods. The analysis shows that the wheat drought monitoring index constructed based on conventional ground observation data takes more into account the application needs of business and services, and has the characteristics of simple calculation process, convenient data acquisition, and clear physical meaning. However, it is mainly based on meteorological observation elements, and there is a certain deviation between the monitoring results and agricultural drought conditions. The technical means of artificial water control experiments are used to monitor wheat drought, which is directly related to the growth status of wheat and can reflect the actual drought situation. However, relying only on the experimental monitoring results from every site is difficult to reflect the large\|scale wheat drought. Crop models can provide detailed descriptions of the entire process of crop growth and development, as well as the dynamic relationship between crop growth, precipitation, and soil moisture. However, crop model monitoring requires multiple parameters, and the degree of localization and application of the model is not high. Remote sensing technology can timely and objectively obtain comprehensive surface information on a large scale, but inversion has certain deviations due to the influence of weather conditions, surface roughness, terrain, and vegetation. Therefore, for wheat drought monitoring, different drought monitoring indices should be assigned influence weights for specific regions and growth stages, and comprehensive monitoring indices should be applied to characterize crop drought conditions more accurately. |
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