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石河子地区年冻融指数的多尺度变化特征
引用本文:罗那那,巴特尔·巴克,吴燕锋. 石河子地区年冻融指数的多尺度变化特征[J]. 干旱区研究, 2017, 34(3). DOI: 10.13866/j.azr.2017.03.06
作者姓名:罗那那,巴特尔·  巴克,吴燕锋
作者单位:1. 新疆农业大学草业与环境科学学院,新疆乌鲁木齐,830052;2. 中国科学院东北地理与农业生态研究所,吉林长春,130102
基金项目:国家国际科技合作计划资助,新疆维吾尔自治区土壤学重点学科项目资助
摘    要:基于石河子地区各气象站点1961─2013年的逐日平均气温数据,计算年冻融指数,并利用集合经验模态分解(EEMD)分析其多尺度变化特征。结果表明:在过去53 a,石河子地区冻结指数和融化指数的年际变化明显,其中冻结指数总体呈减少趋势,融化指数总体呈增加趋势,气候倾向率分别为-3.84℃·a-1和8.64℃·a-1。在年际变化上,冻结指数年际波动较大,其变幅为820~1 900.7℃;融化指数年际波动较小,变幅为3 518.8~4 577.9℃。在年代尺度上,冻结指数与气温呈明显的负相位,且两者的年际变化周期相同(3 a),年代尺度周期大致相当(10 a左右);融化指数与气温呈明显的正相位,且两者存在年际变化的同周期(3 a)。变化趋势特征表明,伴随着气温的增加,冻结指数呈非线性减少趋势,而融化指数呈非线性增加趋势。

关 键 词:冻融指数  集合经验模态分解  气温  多尺度变化  石河子  新疆

Multiscale Variation of Annual Freezing and Thawing Indexes in Shihezi
LUO Na-na,Bake Batur,WU Yan-feng. Multiscale Variation of Annual Freezing and Thawing Indexes in Shihezi[J]. Arid Zone Research, 2017, 34(3). DOI: 10.13866/j.azr.2017.03.06
Authors:LUO Na-na  Bake Batur  WU Yan-feng
Abstract:Based on the average daily temperature data from 4 meteorological stations in Shihezi during the period of 1961-2013, the variation of annual freezing and thawing indexes was investigated, and the multiscale variation was analyzed using the ensemble empirical mode decomposition.The results showed that the freezing index was in a significant decrease trend with a rate of-3.84 ℃ · a-1 in recent 53 years, but the thawing index was in a significant increase trend with a rate of 8.64 ℃ · a-1.The inter-annual fluctuation of the freezing index was high with an amplitude of 820.3-1 900.7 ℃.The fluctuation of annual thawing index was relatively low with a range of 3 518.8-4 577.9 ℃.There was a significant negative phase between the freezing index and mean air temperature, their inter-annual periods were the same (3 years), and their decadal periods were similar (about 10 years).However, there was a positive phase between the thawing index and the mean air temperature, and their inter-annual periods were all for 3 years.Accompany with the nonlinear increase trend of temperature, the freezing index was in a nonlinear decrease trend, and the thawing index was in a nonlinear increase trend.
Keywords:freezing and thawing index  ensemble empirical mode decomposition  temperature  multiscale variation  Shihezi  Xinjiang
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