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蒸发需求干旱指数(EDDI)在辽宁省干旱识别中的应用
引用本文:刘东明,纪瑞鹏,陈鹏狮,张微玮,李晶.蒸发需求干旱指数(EDDI)在辽宁省干旱识别中的应用[J].应用生态学报,2020,31(10):3480-3488.
作者姓名:刘东明  纪瑞鹏  陈鹏狮  张微玮  李晶
作者单位:1.中国气象局沈阳大气环境研究所, 沈阳 110166;2.辽宁省生态气象和卫星遥感中心, 沈阳 110166;3.辽宁省农业气象灾害重点实验室, 沈阳 110166
基金项目:中国气象局沈阳大气环境研究所和辽宁省农业气象灾害重点实验室联合开放基金项目(2019SYIAE09)、辽宁省科技厅重点研发项目(2019JH2/10200018,2017210001)和中国气象局气候变化专项(CCSF201910)资助
摘    要:蒸发需求干旱指数(EDDI)是从大气蒸发需求(E0)角度出发建立起来的一种多尺度的干旱指标,具有不依赖降水量、适用于各种下垫面类型的特点,具备在不同时间尺度捕捉水胁迫信号的能力。本研究基于1961—2018年辽宁省52个气象站气象观测资料,逐日估算E0,按年、生长季(4—10月)、春季、夏季、秋季、冬季分别计算EDDI,分6个时间尺度识别近58年辽宁省干旱发生的年际变化特征。结果表明: 研究期间,辽宁省EDDI年际变化阶段性明显,多个时间尺度的EDDI呈两个高值集中期。在20世纪60年代,年、生长季、春季、秋季和冬季5个时间尺度的辽宁省平均EDDI高值区相对集中,这一阶段辽宁省发生干旱的年数多、程度重;除冬季外,2014—2018年是其他5个时间尺度的EDDI高值另一个相对集中的时段;1981—1982年,辽宁省的年、生长季、夏季、秋季的EDDI值偏高。1963—1965年(除夏季外)、1972—1973年(生长季、夏季)、1989—1990年(年、生长季、春季、冬季)、1997—1998年(年、生长季、夏季)、2004—2005年(春季、冬季)和2013—2014年(年、生长季、秋季)都发生了干-湿或湿-干逆转事件。1985—1987、1993—1995和2005—2013年,辽宁省存在明显的干旱空窗期。

关 键 词:大气蒸发力  蒸发需求干旱指数(EDDI)  干旱  辽宁省  
收稿时间:2020-05-06

Application of evaporative demand drought index (EDDI) in drought identification of Liaoning Province,China
LIU Dong-ming,JI Rui-peng,CHEN Peng-shi,ZHANG Wei-wei,LI Jing.Application of evaporative demand drought index (EDDI) in drought identification of Liaoning Province,China[J].Chinese Journal of Applied Ecology,2020,31(10):3480-3488.
Authors:LIU Dong-ming  JI Rui-peng  CHEN Peng-shi  ZHANG Wei-wei  LI Jing
Institution:1.Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110166, China;2.Ecological Meteorology and Satellite Remote Sensing Center of Liaoning Province, Shenyang 110166, China;3.Liaoning Province Key Laboratory of Agrometeorological Disasters, Shenyang 110166, China
Abstract:The evaporative demand drought index (EDDI) is a multi-scale drought index developed from the atmospheric evaporation demand (E0). EDDI is independent of precipitation and suitable to different underlying surfaces, which can well capture water stress signals at different time scales. Based on the meteorological observation data at 52 stations in Liaoning Province from 1961 to 2018, we estimated daily E0, calculated EDDI at six time scales (annual, growing season, spring, summer, autumn and winter), and further identified the interannual variability of drought occurrence in Liaoning Province for the past 58 years. The results showed that EDDI had obvious interannual variation, with two high concentration periods in multiple time scales. In the 1960s, when there were many years and serious drought in Liaoning Province, high EDDI values were concentrated at the five time scales (annual, growing season, spring, autumn and winter). 2014-2018 was another relatively concentrated period of EDDI high value at all time scales except winter. In 1981-1982, the values of EDDI were high at the time scales of the annual, growth season, summer and autumn. The periods of 1963-1965 (except summer), 1972-1973 (growth season, summer), 1989-1990 (annual, growth season, spring and winter), 1997-1998 (annual, growth season and summer), 2004-2005 (spring and winter) and 2013-2014 (annual, growth season and autumn) occurred abrupt alternation from dry to wet or from wet to dry. In 1985-1987, 1993-1995 and 2005-2013, Liaoning Province had obvious dry gaps.
Keywords:atmospheric evaporative demand  evaporative demand drought index (EDDI)  drought  Liaoning Province  
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