农业干旱灾害研究进展

［目的］文章阐述了基于不同数据源开展的农业干旱灾害研究，为明确农业干旱灾害研究的概况，便于把握农业干旱灾害研究的关键技术与问题。［方法］通过气象、遥感、统计3类数据，以使用数据源作为索引，对我国农业干旱灾害监测、评价及预警、灾害时空格局等内容进行分析。［结果］通过统计文献，了解农业干旱灾害研究的概况，分析农业干旱的基础和困境，明确国内农业干旱灾害的发展过程和最新进展，阐述未来农业干旱的研究重点。［结论］基于气象数据的农业干旱灾害研究最为系统，时间序列跨度长、空间分布范围广，在监测、预警、评价和格局分析等方面都有细致的研究； 基于遥感数据的农业干旱灾害研究主要以监测和灾害评价为主； 基于统计数据开展农业干旱灾害的研究主要集中在灾害损失评价方面； 基于多源数据的农业干旱灾害研究在逐渐增多，在监测、预警、评价等方面也有所突破。农业干旱研究的关键技术，以及研究的系统性、研究内容和发生机理等方面仍有待加强。

RESEARCH PROGRESS ON AGRICULTURE DROUGHT DISASTER

This research describes the research of agricultural drought disaster, which is based on different data sources, in order to clarify the general situation of agricultural drought disaster study, and to grasp the key technology and problems of agricultural drought disaster study. Based on three kinds of data including meteorological data, remote sensing data and statistical data, and using data sources as indexes, this research analyzed the monitoring, evaluation and early warning of agricultural drought disasters and the spatial and temporal pattern of disasters in China. Through literature statistics, we understood the general situation of agricultural drought disaster study, analyzed the basis and dilemma of agricultural drought, clarified the development process and the latest progress of agricultural drought disaster in China, and elaborated the study focus of agricultural drought in the future. Agricultural drought disaster study based on meteorological data, which is the most systematic, with long time series and wide spatial distribution, and it also has detailed studies on monitoring, early warning, evaluation and pattern analysis. Agricultural drought disaster study based on remote sensing data, it mainly focuses on monitoring and disaster evaluation. The study on agricultural drought disaster based on statistical data was mainly focused on disaster loss evaluation. Agricultural drought disaster research based on multi source data increased gradually, and there were breakthroughs in monitoring, early warning, evaluation and so on. The key technologies of agricultural drought study, as well as the systematicness, contents and mechanism need to be strengthened.