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基于SPEI-PM指数的黄淮海平原干旱特征分析
引用本文:李翔翔,居辉,刘勤,李迎春,秦晓晨.基于SPEI-PM指数的黄淮海平原干旱特征分析[J].生态学报,2017,37(6):2054-2066.
作者姓名:李翔翔  居辉  刘勤  李迎春  秦晓晨
作者单位:中国农业科学院农业环境与可持续发展研究所作物高效用水与抗灾减损国家工程实验室, 北京 100081;农业部农业环境重点实验室, 北京 100081,中国农业科学院农业环境与可持续发展研究所作物高效用水与抗灾减损国家工程实验室, 北京 100081;农业部农业环境重点实验室, 北京 100081,中国农业科学院农业环境与可持续发展研究所作物高效用水与抗灾减损国家工程实验室, 北京 100081;农业部旱作节水农业重点实验室, 北京 100081,中国农业科学院农业环境与可持续发展研究所作物高效用水与抗灾减损国家工程实验室, 北京 100081;农业部农业环境重点实验室, 北京 100081,中国农业科学院农业环境与可持续发展研究所作物高效用水与抗灾减损国家工程实验室, 北京 100081;农业部农业环境重点实验室, 北京 100081
基金项目:国家973资助项目(2012CB955904);国家"十二五"科技支撑计划资助项目(2012BAD09B01,2013BAD11B03);国家自然科学基金资助项目(41401510)
摘    要:利用黄淮海平原45个气象站点1961—2014年月值气象数据,基于Penman-Monteith蒸散模型计算了标准化降水蒸散指数(SPEI),对黄淮海平原近54年干旱变化趋势、发生频率和持续性特征进行了分析,并探讨了SPEI指数与河南、河北和山东省农业干旱面积的关系,结果表明:(1)改用Penman-Monteith蒸散公式后,SPEI干旱指数在黄淮海平原呈整体上升趋势,即趋于湿润;(2)近54年干旱演变具有明显的年代际差异,20世纪60年代干旱频率最高,而21世纪初(2000—2014)干旱频率整体偏低;(3)黄淮海平原干旱发生具有持续性的特点,20世纪60年代遭受的持续性干旱最为严重,平均干旱持续时长约2.6个月,21世纪初下降到1.5个月;(4)河南、河北和山东省的农业干旱面积年际变化表明,干旱面积呈减少趋势,2000年以后年均受灾面积、成灾面积和绝收面积比2000年之前分别下降了58.0%、44.4%和49.1%;(5)农业干旱面积与SPEI具有中等以上的相关强度,其中对山东省受灾、成灾和绝收面积相关系数r达到-0.7以上,表明基于Penman-Monteith蒸散模型的SPEI指数在黄淮海平原具有良好的适用性。

关 键 词:SPEI  Penman-Monteith蒸散模型  干旱趋势  干旱频率  黄淮海平原
收稿时间:2015/11/10 0:00:00
修稿时间:2016/7/4 0:00:00

Analysis of drought characters based on the SPEI-PM index in Huang-Huai-Hai Plain
LI Xiangxiang,JU Hui,LIU Qin,LI Yingchun and QIN Xiaochen.Analysis of drought characters based on the SPEI-PM index in Huang-Huai-Hai Plain[J].Acta Ecologica Sinica,2017,37(6):2054-2066.
Authors:LI Xiangxiang  JU Hui  LIU Qin  LI Yingchun and QIN Xiaochen
Institution:State Key Engineering Laboratory of Crops Efficient Water Use and Drought Mitigation, Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Science, Beijing 100081, China;Key Laboratory of Agricultural Environment, Ministry of Agriculture, Beijing 100081 China,State Key Engineering Laboratory of Crops Efficient Water Use and Drought Mitigation, Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Science, Beijing 100081, China;Key Laboratory of Agricultural Environment, Ministry of Agriculture, Beijing 100081 China,State Key Engineering Laboratory of Crops Efficient Water Use and Drought Mitigation, Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Science, Beijing 100081, China;Key Laboratory of Dryland Agriculture, Ministry of Agriculture, Beijing 100081, China,State Key Engineering Laboratory of Crops Efficient Water Use and Drought Mitigation, Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Science, Beijing 100081, China;Key Laboratory of Agricultural Environment, Ministry of Agriculture, Beijing 100081 China and State Key Engineering Laboratory of Crops Efficient Water Use and Drought Mitigation, Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Science, Beijing 100081, China;Key Laboratory of Agricultural Environment, Ministry of Agriculture, Beijing 100081 China
Abstract:The quantitative analysis of drought is crucial essential for drought risk assessment. The standardized precipitation evapotranspiration index (SPEI) has been widely used as an effective approach to quantitatively analyze the trends, duration, frequency, and severity of drought. However, how to calculate the evapotranspiration is big challenge for the reliable and accuracy of SPEI results. The most previous studies calculated SPEI based on an empirical evapotranspiration equation, such as the Thornthwaite method, rather than the physical Penman-Monteith equation. Moreover, majority of the studies analyzed the spatio-temporal pattern of the index without linkage of the relationship between the climactic drought index and actual cropland drought areas. This study utilized SPEI based on the Penman-Monteith equation to explore the variations of drought frequency and duration during 1963-2014 in 3H Plain, and established the relationship between SPEI and the actual field drought areas by Pearson correlation in Henan, Hebei, and Shandong Province separately, which aims to understand the trends of drought during the past 50 years and to explore the relationship between the climatic drought index and actual field drought areas. The results showed that the SPEI had upward trend for 1, 3, 6, and 12-month scales in most areas of the 3H Plain while as the 1-month and 3-month scales, the wetting trend was significant (P < 0.1) in the northern regions of 3H Plain. Drought frequency in the 1960s was the highest during the past 54 years, but lowest in 2000-2014. The longest duration was occurred in the 1960s by comparing the decadal spatial distribution of drought duration. Moreover, the mean drought duration declined from 2.6 months in the 1960s to 1.5 months during 2000-2014. The changes of annual drought areas decreased in Henan, Hebei, and Shandong Province, which could be partly attributed to the lower frequency and shorter duration of drought detected by SPEI. Correlation analyses indicated that the index series of Dec-SPEI-12 had medium to high correlation with observed cropland drought areas. For example, Pearson''s r between Dec-SPEI-12 and the drought area of Shandong Province were -0.7, -0.7, and -0.8 for affected, disaster and no harvest drought areas, respectively. The results of the study suggest a wetting trend in the 3H Plain during the past 54 years, and the chosen of Penman-Monteith evapotranspiration model with decreasing evapotranspiration over the past years in the 3H Plain attributes to this wetting trend. The high correlation between the climatic drought index and actual drought area indicated that SPEI could be used as a reference or trigger for establishing a drought warning system in the 3H Plain.
Keywords:SPEI  Penman-Monteith equation  drought index  drought frequency  Huang-Huai-Hai Plain
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