Drought monitoring and early warning in China: a review of research to pave the way for operational systems
Drought monitoring and early warning in China: a review of research to pave the way for operational systems
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DOI：
10.5194/piahs-383-273-2020
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发表时间：
2020-09
影响因子：
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通讯作者：
L. Barker;J. Hannaford;Miaomiao Ma
中科院分区：
文献类型：
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作者：
L. Barker;J. Hannaford;Miaomiao Ma
抽象的。地理和社会经济因素相结合，使中国特别容易遭受干旱。在这里，我们回顾学术文献，评估中国干旱监测和预警主题的出版趋势，探讨共同主题和最新进展。对 1970 年至 2017 年期间的一系列与干旱监测相关的检索词进行了文献检索。研究发现，有关这些主题的出版物从 1989 年开始零星出现，自 2000 年代初以来迅速增加，并且出版率在过去八年中不断增加。研究范围各不相同，通常考虑到空间尺度：在国家尺度上，研究侧重于评估现有指数，而在区域尺度上开发和测试新的指数——总体上与监测农业和气象干旱有关。在流域规模上，开发了新颖的监测技术，通常结合其他数据类型，例如建模数据或土壤湿度测量。中国国家级干旱监测业务目前正在完善和更新。然而，尽管文献中讨论了操作系统，但理论与实践之间仍然存在脱节，最新进展尚未付诸实施。在这里，我们确定了可以从实验案例研究规模转化为国家运作规模的方法和途径。
Abstract. Geographic and socio-economic factors combined make China particularly vulnerable to droughts. Here we review academic literature to assess publication trends on the topics of drought monitoring and early warning in China, exploring the common themes and recent advances presented. Literature searches for the 1970–2017 period were made for a range of search terms relating to drought monitoring. It was found that publications on these topics started to appear sporadically in 1989 and have increased rapidly since the early 2000s, with the rate of publication increasing over the last eight years. The scope of studies varied, often with the spatial scale considered: at the national scale, studies focused on evaluating existing indices, while new indices were developed and tested at the regional scale – relating, in general, to monitoring agricultural and meteorological droughts. At the catchment scale, novel monitoring techniques were developed, often incorporating other data types such as modelled data or soil moisture measurements. National scale operational drought monitoring in China is currently being improved and updated. However, although operational systems are discussed in the literature, there is a still a disconnect between theory and practice with the most recent advances not yet operationalised. Here, we identify the methods and approaches which can be translated from the experimental case study scale to the national operational scale.