首页|期刊导航|干旱区研究|5种干旱指数在鄂尔多斯市干旱评估中的适用性

5种干旱指数在鄂尔多斯市干旱评估中的适用性OA

Applicability of five drought indices to drought assessment of Ordos City

中文摘要英文摘要

以2002-2022年降水量距平百分率(Precipitation Anomaly in Percentage,PA)、标准化降水指数(Standard-ized Precipitation Index,SPI)、相对湿润度指数(Relative Moisture Index,MI)、气象干旱综合指数(Meteorological Drought Composite Index,MCI)和土壤相对湿度(Relative Soil Moisture,Rsm)5种干旱指数为研究对象,结合中国气象局气象灾害管理系统的历史旱灾记录,分析5种干旱指数在鄂尔多斯典型干旱年、干旱区的适用性,并采用经验正交分解(Empirical Orthogonal Function,EOF)分析法,揭示鄂尔多斯干旱的时空演变特征.结果表明:(1)5种干旱指数在典型干旱年评估结果各不相同,对于2017年春夏季干旱,MI适合评估5月、6月干旱,Rsm适用于评估6月、7月干旱;对于2022年秋季干旱,PA、SPI评估结果更接近实际旱灾.(2)对于干旱区的适用性评估,空间分析上显示干旱区的MI、MCI与NDVI的Pearson相关系数较大.草地占比大的地区,其草地占比、耕地占比与PA、SPI、MI、MCI均通过0.05显著性检验水平,而Rsm计算考虑了深层土壤水分,对于浅根系植物相关性不显著;从时间角度分析,MI、Rsm在5-8月植物生长季,评估的旱情更符合实际情况.(3)EOF1空间分析结果表明,Rsm干旱评估最优,其西南部、东部局部地区为负值,其他指数为整体一致性正值;EOF2显示中部负值四周正值,时空异质性较强;从时间系数变化分析,EOF1西南部、东部局部地区2002-2009年为干旱,2010-2013年为湿润,2014-2022年为干旱,与鄂尔多斯的植被分布相吻合,其余地区反相变化;EOF2 显示中部与四周存在每隔2~3 a干湿交替的分布特征.研究成果为鄂尔多斯市干旱监测预警、水资源优化配置及旱灾风险防控提供科学依据.

In combination with historical drought disaster records from the Meteorological Disaster Management System of the China Meteorological Administration,this paper analyzes the applicability of five drought indi-ces—Precipitation Anomaly in Percentage(PA),Standardized Precipitation Index(SPI),Relative Moisture Index(MI),Meteorological Drought Composite Index(MCI),and Relative Soil Moisture(Rsm)over the 2002 to 2022 period—to the typical drought years and drought-prone areas of Ordos City,Inner Mongolia,China.In addition,the spatiotemporal evolution characteristics of drought in Ordos are revealed through an empirical orthogonal function(EOF)analysis.It was found that(1)the assessment results of the five drought indices differed among the typical drought years.For instance,the MI was suitable for assessing the drought conditions in May and June during the spring/summer drought of 2017,whereas the Rsm was more applicable to the drought conditions in June and July of that year.Meanwhile,the PA and SPI best assessed the actual drought situation during the au-tumn drought in 2022.(2)In the spatial analysis,the MI and MCI were relatively strongly correlated(moderately high Pearson correlation coefficients)with thenormalized difference vegetation index(NDVI)in the drought-prone areas.In regions with a large proportion of grassland,the proportions of grassland and cultivated land were correlated with PA,SPI,MI,and MCI at the 0.05 significance level.However,as the Rsm calculation accounts for deep soil moisture,Ram is not significantly correlated with the proportion of shallow-rooted plants.From a temporal perspective,the drought conditions assessed by MI and Rsm are more aligned with the actual drought situation during the plant-growth season from May to August.(3)In the EOF1 spatial analysis,the Rsm measure optimized the drought assessment performance;the other indices exhibited consistent variationsoverall,with neg-ative values in parts of the southwest and east of Ordos and positive values in all other regions.In EOF2,the indi-ceswere negatively valued in the central part of Ordos andpositively valued in the surrounding areas,presenting strong spatiotemporal heterogeneity.Analyzing the variation in time coefficients,it was observed that the south-west and partial eastern areas covered by EOF1 were drought-stricken in 2002-2009,humid in 2010-2013,and again drought-stricken in 2014-2022,consistent with the vegetation distribution in Ordos.Meanwhile,EOF2 was characterized by alternating dry and wet conditions between the central part and the surrounding areas of Ordosat 2-3 a periods.The results provide a scientific basis for monitoring and early warning of droughts,optimal alloca-tion of water resources,and prevention and control of drought disaster risk in Ordos City.

苏玥;张存厚;关吉平;甄熙;武荣盛;李红梅;郑凤杰

内蒙古自治区人工影响天气中心,内蒙古 呼和浩特 010051内蒙古自治区生态与农业气象中心,内蒙古 呼和浩特 010051国防科技大学气象海洋学院,湖南 长沙 410073内蒙古自治区人工影响天气中心,内蒙古 呼和浩特 010051内蒙古自治区生态与农业气象中心,内蒙古 呼和浩特 010051内蒙古自治区气象服务中心,内蒙古 呼和浩特 010051内蒙古自治区人工影响天气中心,内蒙古 呼和浩特 010051

干旱指数适用性评估标准化降水指数相对湿润度指数气象干旱综合指数

drought indexapplicability assessmentstandardized precipitation indexrelative moisture indexmeteorological drought composite index

《干旱区研究》 2026 (2)

236-247,12

内蒙古自治区科技计划项目(2022YFHH0100,2025YFHH0005)内蒙古自然科学基金项目(2023LHMS04004,2025MS04032)内蒙古自治区气象局科研项目(nmqxkp202401)

10.13866/j.azr.2026.02.03

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