蒸发需求干旱指数(EDDI)在辽宁省干旱识别中的应用

doi:10.13287/j.1001-9332.202010.011

应用生态学报 ›› 2020, Vol. 31 ›› Issue (10): 3480-3488.doi: 10.13287/j.1001-9332.202010.011

蒸发需求干旱指数(EDDI)在辽宁省干旱识别中的应用

刘东明^1,2, 纪瑞鹏^1,3*, 陈鹏狮², 张微玮², 李晶²

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

收稿日期:2020-05-06 接受日期:2020-07-21 出版日期:2020-10-15 发布日期:2021-04-15
通讯作者: * E-mail: jiruipeng@163.com
作者简介:刘东明, 男, 1986年生, 工程师。主要从事农业气象灾害研究。E-mail: guxing-345@163.com
基金资助:
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

Application of evaporative demand drought index (EDDI) in drought identification of Liaoning Province, China

LIU Dong-ming^1,2, JI Rui-peng^1,3*, CHEN Peng-shi², ZHANG Wei-wei², LI Jing²

¹Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110166, China;
²Ecological Meteorology and Satellite Remote Sensing Center of Liaoning Province, Shenyang 110166, China;
³Liaoning Province Key Laboratory of Agrometeorological Disasters, Shenyang 110166, China

Received:2020-05-06 Accepted:2020-07-21 Online:2020-10-15 Published:2021-04-15
Contact: * E-mail: jiruipeng@163.com
Supported by:
Open Fund Project of Institute of Atmospheric Environment, China Meteorological Administration and Liaoning Province Key Laboratory of Agrometeorological Disasters (2019SYIAE09), the Provincial Key R&D Project of Department of Science and Technology of Liaoning Province, China (2019JH2/10200018,2017210001), and the Climate Change Project of China Meteorological Administration (CCSF201910).

摘要/Abstract

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

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.

Key words: atmospheric evaporative demand, evaporative demand drought index (EDDI), drought, Liaoning Province

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.

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.

参考文献

[1] 管晓丹, 石瑞, 孔祥宁, 等. 全球变化背景下半干旱区陆气机制研究综述. 地球科学进展, 2018, 33(10): 995-1004 [Guan X-D, Shi R, Kong X-N, et al. An overview of researches on land-atmosphere interaction over semi-arid region under global changes. Advances in Earth Science, 2018, 33(10): 995-1004]
[2] IPCC. Summary for Policymakers. Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups Ⅰ and Ⅱ of the Intergovernmental Panel on Climate Change. Cambridge, UK: Cambridge University Press, 2012
[3] 姜秋香, 周智美, 王子龙, 等. 基于水土资源耦合的水资源短缺风险评价及优化. 农业工程学报, 2017, 33(12): 136-143 [Jiang Q-X, Zhou Z-M, Wang Z-L, et al. Risk assessment and optimization of water resources shortage based on water and land resources coupling. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(12): 136-143]
[4] 龚容, 高琼. 叶片结构的水力学特性对植物生理功能影响的研究进展. 植物生态学报, 2015, 39(3): 300-308 [Gong R, Gao Q. Research progress in the effects of leaf hydraulic characteristics on plant physiological functions. Chinese Journal of Plant Ecology, 2015, 39(3): 300-308]
[5] Zhang JQ. Risk assessment of drought disaster in the maize-growing region of Songliao Plain, China. Agriculture, Ecosystems & Environment, 2003, 102: 133-153
[6] 张强, 韩兰英, 张立阳, 等. 论气候变暖背景下干旱和干旱灾害风险特征与管理策略. 地球科学进展, 2014, 29(1): 80-91 [Zhang Q, Han L-Y, Zhang L-Y, et al. Analysis on the character and management strategy of drought disaster and risk under the climatic warming. Advances in Earth Science, 2014, 29(1): 80-91]
[7] 张强, 姚玉璧, 李耀辉, 等. 中国西北地区干旱气象灾害监测预警与减灾技术研究进展及其展望. 地球科学进展, 2015, 30(2): 196-213 [Zhang Q, Yao Y-B, Li Y-H, et al. Research progress and prospect on the monitoring and early warning and mitigation technology of meteorological drought disaster in northwest China. Advances in Earth Science, 2015, 30(2): 196-213]
[8] 江笑薇, 白建军, 刘宪峰. 基于多源信息的综合干旱监测研究进展与展望. 地球科学进展, 2019, 34(3): 275-287 [Jiang X-W, Bai J-J, Liu X-F. Research progress and prospect of integrated drought monitoring based on multisource information. Advances in Earth Science, 2019, 34(3): 275-287]
[9] Palmer WC. Meteorological Drought. Washington DC: US Weather Bureau, 1965
[10] Mckee TB, Doesken NJ, Kleist J. The relationship of drought frequency and duration to time scales. Procee-dings of the 8th Conference on Applied Climatology, Anaheim, 1993: 179-183
[11] Vicente-Serrano SM, Begueria S, Lopez-Moreno JI. A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index. Journal of Climate, 2010, 23: 1696-1718
[12] Lawrimore J, Heim RR, Svoboda M, et al. Beginning a new era of drought monitoring across North America. Bulletin of the American Meteorological Society, 2002, 83: 1191-1192
[13] Kao SC, Govindaraju RS. A copula-based joint deficit index for droughts. Journal of Hydrology, 2010, 380: 121-134
[14] Rajsekhar D, Singh VP, Mishra AK. Multivariate drought index: An information theory based approach for integrated drought assessment. Journal of Hydrology, 2015, 526: 164-182
[15] Hao C, Zhang J, Yao F. Combination of multi-sensor remote sensing data for drought monitoring over Southwest China. International Journal of Applied Earth Observation and Geoinformation, 2015, 35: 270-283
[16] 杜灵通, 田庆久, 王磊, 等. 基于多源遥感数据的综合干旱监测模型构建. 农业工程学报, 2014, 30(9): 126-132 [Du L-T, Tian Q-J, Wang L, et al. Asynthesized drought monitoring model based on multi-source remote sensing data. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(9): 126-132]
[17] Hobbins MT, Wood A, Mcevoy DJ, et al. The evaporative demand drought index. Ⅰ. Linking drought evolution to variations in evaporative demand. Journal of Hydrometeorology, 2016, 17: 1745-1761
[18] Mcevoy DJ, Huntington JL, Hobbins MT, et al. The evaporative demand drought index. Ⅱ. CONUS-wide assessment against common drought Indicators. Journal of Hydrometeorology, 2016, 17: 1763-1779
[19] Yao N, Li Y, Lei TJ, et al. Drought evolution, severity and trends in mainland China over 1961-2013. Science of the Total Environment, 2018, 616-617: 73-89
[20] 张淑杰, 张玉书, 李广霞, 等. 辽宁省旱灾的分布特征及其成因分析. 中国农学通报, 2013, 29(5): 199-203 [Zhang S-J, Zhang Y-S , Li G-X, et al. Distribution characteristics and main causes of drought in Liao-ning Province. Chinese Agricultural Science Bulletin, 2013, 29(5): 199-203]
[21] 孙凤华, 袁健. 近40年来辽宁地区气候干湿界线年代际波动及其成因. 应用生态学报, 2006, 17(7): 1274-1279 [Sun F-H, Yuan J. Recent 40 years interdecadal fluctuation of dry and wet climate boundary and its cause in Liaoning Province. Chinese Journal of Applied Ecology, 2006, 17(7): 1274-1279]
[22] 张淑杰, 张玉书, 纪瑞鹏, 等. 东北地区玉米干旱时空特征分析. 干旱地区农业研究, 2011, 29(1): 231-236 [Zhang S-J, Zhang Y-S, Ji R-P, et al. Analysis of spatio-temporal characteristics of drought for maize in Northeast China. Agricultural Research in the Arid Areas, 2011, 29(1): 231-236]
[23] 蔡福, 张淑杰, 纪瑞鹏, 等. 近30年辽宁玉米水分适宜度时空演变特征及农业干旱评估. 应用生态学报, 2015, 26(1): 233-240 [Cai F, Zhang S-J, Ji R-P, et al. Spatio-temporal dynamics of maize water suitability and assessment of agricultural drought in Liaoning Pro-vince, China from 1981 to 2010. Chinese Journal of Applied Ecology, 2015, 26(1): 233-240]
[24] 冯冬蕾, 程志刚, 吴琼, 等. 基于MCI指数的东北地区1961-2014年气象干旱特征分析. 干旱区资源与环境, 2017, 31(10): 118-124 [Feng D-L, Cheng Z-G, Wu Q, et al. Meteorological drought characteristics in Northeast China from 1961 to 2014 based on the comprehensive monitoring index analysis. Journal of Arid Land Resources and Environment, 2017, 31(10): 118-124]
[25] 侯陈瑶, 朱秀芳, 肖名忠, 等. 基于游程理论和Copula函数的辽宁省农业气象干旱特征研究. 灾害学, 2019, 34(2): 222-227 [Hou C-Y, Zhu X-F, Xiao M-Z, et al. Research on agricultural meteorological drought in Liaoning Province based on run theory and Copula function. Journal of Catastrophology, 2019, 34(2): 222-227]
[26] Monteith JIL. Evaporation and environment. Symposia of the Society for Experimental Biology, 1965, 19: 205-234
[27] 吴霞, 王培娟, 霍治国, 等. 1961—2015年中国潜在蒸散时空变化特征与成因. 资源科学, 2017, 39(5): 964-977 [Wu X, Wang P-J, Huo Z-G, et al. Spatio-temporal distribution characteristics of potential evapotranspiration and impact factors in China from 1961 to 2015. Resources Science, 2017, 39(5): 964-977]
[28] 曹永强, 张兰霞, 张岳军, 等. 基于CI指数的辽宁省气象干旱特征分析. 资源科学, 2012, 34(2): 265-272 [Cao Y-Q, Zhang L-X, Zhang Y-J, et al. Analysis of drought characteristics of Liaoning Province based on the CI index. Resources Science, 2012, 34(2): 265-272]
[29] 高西宁, 徐庆喆, 丛俊霞, 等. 基于标准化降水指数的辽宁省近54年干旱时空规律分析. 生态环境学报, 2015, 24(11): 1851-1857 [Gao X-N, Xu Q-Z, Cong J-X, et al. Temporal and spatial patterns of droughts based on standard precipitation index (SPI) in Liaoning Province in recent 54 a. Ecology and Environmental Sciences, 2015, 24(11): 1851-1857]
[30] 吴琼, 赵春雨, 王大钧, 等. 1951—2014年辽宁省气象干旱时空特征分析. 干旱区资源与环境, 2016, 30(3): 151-157 [Wu Q, Zhao C-Y, Wang D-J, et al. Spatial and temporal characteristics of meteorological drought in Liaoning Province from 1951 to 2014. Journal of Arid Land Resources and Environment, 2016, 30(3): 151-157]
[31] 张运福, 房一禾, 龚强. 基于SPEI指数的辽宁省生长季干旱时空特征. 生态学杂志, 2017, 36(1): 190-197 [Zhang Y-F, Fang Y-H, Gong Q. Analysis of temporal and spatial characteristics of growing season drought in Liaoning Province based on standardized precipitation-evapotranspiration index. Chinese Journal of Ecology, 2017, 36(1): 190-197]
[32] 纪瑞鹏, 车宇胜, 朱永宁, 等. 干旱对东北春玉米生长发育和产量的影响. 应用生态学报, 2012, 23(11): 3021-3026 [Ji R-P, Che Y-S, Zhu Y-N, et al. Impacts of drought stress on the growth and development and grain yield of spring maize in Northeast China. Chinese Journal of Applied Ecology, 2012, 23(11): 3021-3026]

蒸发需求干旱指数(EDDI)在辽宁省干旱识别中的应用

Application of evaporative demand drought index (EDDI) in drought identification of Liaoning Province, China

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