农学学报
農學學報
농학학보
Chinese Countryside Well-off Technology
2015年
1期
130-133
,共4页
姚延锋%朱恩超%安晶%李悦%汪鸿滨
姚延鋒%硃恩超%安晶%李悅%汪鴻濱
요연봉%주은초%안정%리열%왕홍빈
极端温度%阈值%百分位法%滑动T检验
極耑溫度%閾值%百分位法%滑動T檢驗
겁단온도%역치%백분위법%활동T검험
Extreme Temperature%Threshold%Percentile Threshold Value Method%Sliding T-test Method
为研究气候变暖对天水极端温度的影响,利用天水观测站1951—2013年逐年极端温度资料,运用气候倾向率、趋势系数、百分位法、滑动T检验等统计方法,分析极端温度对气候变暖的响应特征。结果表明:天水年极端最高(低)温度均呈显著性升高趋势,极端最高气温上升0.2℃/10 a,极端最低气温上升0.3℃/10 a,都通过了α=0.01的显著性检验;通过百分位法定义了极端温度的阈值,分析发现,极端最高气温与阈值的差值随时间序列的增加逐步增大,极端最低气温与阈值的差值随时间序列的增加逐步减少,对极端最高温度和极端最低温度利用滑动T检验法进行突变检验,在α=0.01显著性水平下,极端最低温度没有发生突变,而极端最高温度在1983年和1993年发生了2次十分明显的突变。
為研究氣候變暖對天水極耑溫度的影響,利用天水觀測站1951—2013年逐年極耑溫度資料,運用氣候傾嚮率、趨勢繫數、百分位法、滑動T檢驗等統計方法,分析極耑溫度對氣候變暖的響應特徵。結果錶明:天水年極耑最高(低)溫度均呈顯著性升高趨勢,極耑最高氣溫上升0.2℃/10 a,極耑最低氣溫上升0.3℃/10 a,都通過瞭α=0.01的顯著性檢驗;通過百分位法定義瞭極耑溫度的閾值,分析髮現,極耑最高氣溫與閾值的差值隨時間序列的增加逐步增大,極耑最低氣溫與閾值的差值隨時間序列的增加逐步減少,對極耑最高溫度和極耑最低溫度利用滑動T檢驗法進行突變檢驗,在α=0.01顯著性水平下,極耑最低溫度沒有髮生突變,而極耑最高溫度在1983年和1993年髮生瞭2次十分明顯的突變。
위연구기후변난대천수겁단온도적영향,이용천수관측참1951—2013년축년겁단온도자료,운용기후경향솔、추세계수、백분위법、활동T검험등통계방법,분석겁단온도대기후변난적향응특정。결과표명:천수년겁단최고(저)온도균정현저성승고추세,겁단최고기온상승0.2℃/10 a,겁단최저기온상승0.3℃/10 a,도통과료α=0.01적현저성검험;통과백분위법정의료겁단온도적역치,분석발현,겁단최고기온여역치적차치수시간서렬적증가축보증대,겁단최저기온여역치적차치수시간서렬적증가축보감소,대겁단최고온도화겁단최저온도이용활동T검험법진행돌변검험,재α=0.01현저성수평하,겁단최저온도몰유발생돌변,이겁단최고온도재1983년화1993년발생료2차십분명현적돌변。
Evaluation of extreme temperature changes in Tianshui under global warming is studied based on annual extreme temperature data from 1951 to 2013. To better understand the variability and long-term trend of extreme temperature, various mathematical statistics methods, including the climate tendency rate, climate tendency coefficient, percentile threshold value method and sliding T-test method, have been used. Results indicate that annual extreme temperature showed a significant increase trend over the past 63 years. The extreme high-temperature rate of increase is estimated as 0.2℃/10 a, while the extreme low-temperature increased by 0.3℃/10 a, which are all statistically significant at 99%confidence level. The threshold values of temperature extremes have been determined using the percentile threshold value method, we find that the difference between the extreme high-temperature (extreme low-temperature) and the corresponding threshold value increased (decreased) with the length of time series. The temporal characteristics of extreme high-temperature and extreme low-temperature trends are analyzed by using sliding T-test method. There is no significant abrupt change in extreme low-temperature at 99%confidence level. In contrast, the extreme high-temperature changes abruptly in 1983 and 1993.