段居琦,张强,何雨峰,周广胜,王有民,肖风劲. 2021. 基于大气-土壤-植被系统干旱发生发展过程的综合干旱指标构建与应用[J]. 气象学报, (0):-, doi:10.11676/qxxb2021.014
基于大气-土壤-植被系统干旱发生发展过程的综合干旱指标构建与应用
Construction and application of Combined Drought Index based on the development process of drought in atmosphere-soil-vegetation system
投稿时间:2020-04-30  修订日期:2020-11-13
DOI:10.11676/qxxb2021.014
中文关键词:  干旱监测评估,综合干旱指标CDI  干旱指标  大气-土壤-植被系统,多源数据
英文关键词:Drought monitor and assessment, Combined drought index, drought index, Atmosphere-soil-plant system, Multisource data
基金项目:国家重点研发计划(2017YFC1502402)、公益性行业(气象)科研专项(GYHY201506019)、国家留学基金(201709110011)和中国气象局/河南省农业气象保障与应用技术重点开放实验室开放研究基金课题(AMF201701)
作者单位邮编
段居琦 国家气候中心中国气象局气候研究开放实验室 100081
张强 国家气候中心中国气象局气候研究开放实验室 100081
何雨峰 Earth System Science Interdisciplinary Center, University of Maryland 20742
周广胜 中国气象科学研究院 100081
王有民 国家气候中心中国气象局气候研究开放实验室 100081
肖风劲 国家气候中心中国气象局气候研究开放实验室 100081
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中文摘要:
      适宜的干旱指标和高分辨率数据是准确、精密监测干旱的基础。本研究从气象干旱和土壤干旱以及植被对干旱的响应出发,整合中国国家气象观测站、中国陆面同化CLDAS土壤湿度(0.0625°×0.0625°)和MODIS LAI(500m×500m)等多源数据信息,构建了基于气象干旱指数(SPEI)、土壤干旱指数(SMP)和植被干旱指数(LAIP)的综合干旱指数CDI,并在中国东北地区开展了典型站点和区域10km×10kmk空间分辨率干旱监测试验。结果表明, CDI克服了单一气象干旱指数不能准确反映农业旱情和单一植被长势指数会将其他灾害引起的植被长势变差误判为干旱的不足,能够反映灌溉对干旱的影响,完成对大气-土壤-植被系统干旱发生发展及其影响的监测。CDI分级监测结果的生物物理意义明确,空间分辨率高,实践指导作用强,在干旱发生发展及其对农业乃至植被影响的监测、评估和预测中具有应用前景。
英文摘要:
      The suitable drought index and high-resolution data are used to calculated it are the basis of drought monitoring accurately and precisely. In this study, we constructed a Combined Drought Index, CDI, based on the response relationships among meteorological drought (SPEI), soil drought (SMP) and vegetation drought (LAIP) with integrating multisource data of China National Meteorological Observatory, Soil Moisture of CMA Land Data Assimilation System with 0.0625 ° × 0.0625 ° resolution and MODIS LAI with 500m × 500m resolution. The monitor results of CDI were assessment at station scale and regional scale with 10km × 10km resolution in Northeast China. The results show that CDI overcomes the shortcomings that single meteorological drought index can not reflect agricultural drought accurately and single vegetation growth index can misjudge the vegetation growth variation caused by other disasters as drought, reflect the effects of irriation on drought, and can monitor the occurrence and development of drought and its impact on crop and other vegetation growth finally. These indicate that CDI classification monitoring results have clear biophysical significance, fine spatial resolution and strong practical guidance, which has application prospects in the monitoring, assessment and prediction of drought occurrence and development and its impact on agriculture and other green vegetation.
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