马思源,何雨芩,金燕,张明达,闫伟兄,范立张.基于土壤相对凋萎湿度构建的干旱监测指标在云南的应用分析[J].干旱地区农业研究,2022,40(4):255~264
基于土壤相对凋萎湿度构建的干旱监测指标在云南的应用分析
Application of drought monitoring index constructed based on soil relative wilting moisture in Yunnan
  
DOI:10.7606/j.issn.1000-7601.2022.04.29
中文关键词:  干旱监测  土壤水文参数  土壤相对凋萎湿度  MCI指数  云南省
英文关键词:drought monitoring  soil hydrological parameter  relative wilting moisture  MCI index  Yunnan Province
基金项目:中国气象局创新发展专项(CXFZ2021J058);中国气象局旱区特色农业气象灾害监测预警与风险管理重点实验室开放研究项目(CAMF-202004);云南省气象局科研项目(QZ202105)
作者单位
马思源 云南省气候中心云南 昆明 650034中国气象局旱区特色农业气象灾害监测预警与风险管理重点实验室宁夏 银川 750004 
何雨芩 云南省气候中心云南 昆明 650034 
金燕 云南省气候中心云南 昆明 650034中国气象局旱区特色农业气象灾害监测预警与风险管理重点实验室宁夏 银川 750004 
张明达 云南省气候中心云南 昆明 650034 
闫伟兄 宁夏回族自治区气象科学研究所宁夏 银川 750004 
范立张 云南省气候中心云南 昆明 650034 
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中文摘要:
      在分析云南土壤水文参数的基础上,构建基于土壤相对凋萎湿度的干旱监测指标IRWM,并分析其在云南地区的适用性。结果表明:云南0~20 cm土层土壤水文参数空间分布较为一致,土壤水分利用率总体呈现东高西低,南高北低的特点;从IRWM指标来看,云南轻旱、中旱、重旱和特旱上限对应的土壤相对湿度分别为45.6%、36.5%、27.5%和18.4%;当大部地区土壤相对湿度低于60%时,云南发生中等干旱灾害的可能极大;云南的西部边缘地区对土壤水分更为敏感,有旱情发展波动大的特点;在干旱监测中,IRWM指标能够降低极端降水对旱情监测的干扰,且对干旱灾害的描述与实际更接近。综合来看,IRWM指标在云南的适用性优于MCI指数。
英文摘要:
      By analyzing the hydrogeological parameters of Yunnan soil, the drought monitoring index IRWM based on soil relative wilting moisture was constructed in this paper, and its applicability in Yunnan region was analyzed. The results indicated that the spatial distribution characteristics of the hydrogeological parameters about Yunnan 0~20 cm soil were consistent relatively, which was the utilization rate of soil moisture was higher in east and lower in west, and higher in south and lower in north generally. In terms of the IRWM, the corresponding upper line indexes of light drought, moderate drought, severe drought and extreme drought in Yunnan were 45.6%, 36.5%, 27.5% and 18.4% soil moisture respectively, and the moderate drought was very likely to occur when the relative soil moisture was lower than 60% in most parts of Yunnan. The western edge of Yunnan soil was more sensitive to moisture, and it has the characteristic of high fluctuation of drought. IRWM reduced the interference of extreme precipitation in drought monitoring, and its description on drought disaster was more accurate than MCI. To sum up, the applicability of IRWM was superior to MCI in Yunnan.
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