globalchange  > 气候变化与战略
CSCD记录号: CSCD:5362257
论文题名:
陕西商州近60 a极端气温变化
其他题名: Extreme Temperature Change of Shangzhou in Recent 60 Years
作者: 李如意1; 赵景波2
刊名: 生态与农村环境学报
ISSN: 1673-4831
出版年: 2015
卷: 31, 期:1, 页码:1641-1648
语种: 中文
中文关键词: 商州 ; 气温变化 ; 小波周期分析 ; 突变分析 ; 主成分分析
英文关键词: Shangzhou ; extreme temperature ; wavelet analysis ; mutation analysis ; principal component analysis
WOS学科分类: ENVIRONMENTAL SCIENCES
WOS研究方向: Environmental Sciences & Ecology
中文摘要: 研究带有地理界线性质区域的山地气候有益于揭示气候变化中全局与局部关系及气候变化的复杂机理。根据1955-2012年日气温资料,综合运用线性趋势分析、累计距平分析、Morlet复数小波分析、滑动T检验法、Mann-Kendall法和主成分分析等方法,选取国际通用的表征极端气温的9项指数,对秦岭腹地商州地区的极端气温变化进行分析,结果表明:(1)商州近60 a平均气温呈缓慢上升趋势,四季变化趋于缓和。(2)极端最低气温、极端最高气温、气温年较差、冷夜日数和暖日日数分别以不同速率上升,高温日数、霜冻日数、暖夜日数和冷日日数分别以不同速率下降。(3)商州极端最低、最高气温以及白天、夜晚气温变化具有明显的非对称性。(4)极端气温指数存在16、22和30 a左右的变化周期,30 a左右为第1主周期。(5)9个极端气温指数均发生突变,突变年份集中在1990-2001年。(6)极端高温和昼指数的变化最明显,各冷指数之间以及各暖指数之间相关关系显著。最后,对商州的自然灾害及预防提出简要意见。
英文摘要: The research on mountain climate of a natural area with a geographic boundary is beneficial to reveal the complex mechanism governing the relation between local and global climate change. Based on the daily temperature data from 1955 to 2012, with 9 international commonly used index, and the methods of linear trend analysis, accumulative anomaly, Morlet complex wavelet, moving T- test, Mann-Kendall examination and principal component analysis are comprehensively employed to analyze the temporal variability of climate extremes of Shangzhou hinterland of Qinling region. The study found that:(1)The average temperature slowly increased and the changes between seasons lessened in the past 60 years in Shangzhou. (2)The extreme minimum temperature, extreme maximum temperature, annual temperature range, cold nights, warm days increased at different rate, while high temperature, frost days, warm nights, cold days decreased at different rates. (3)It is increased asymmetric change of air temperature between the highest and lowest temperature and the relationship of temperature changes between daytime and night. (4)All the extreme temperature indices have cycles of 16, 22 and 30 years, with 30 years to be the dominating cycle. (5)Nine extreme temperature indices experienced mutation, and the mutation year concentrated in 1990s. (6)Changes in extreme high temperature and diurnal index are the most obvious, and the correlation between the cold index and the warm index is remarkable. On the bases of the research data and conclusions, comments have been made to the prevention of natural disaster in Shangzhou area.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/149910
Appears in Collections:气候变化与战略

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作者单位: 1.陕西师范大学旅游与环境学院, 西安, 陕西 710062, 中国
2.陕西师范大学旅游与环境学院, 黄土与第四纪地质国家重点实验室, 西安, 陕西 710062, 中国

Recommended Citation:
李如意,赵景波. 陕西商州近60 a极端气温变化[J]. 生态与农村环境学报,2015-01-01,31(1):1641-1648
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