首页 | 本学科首页   官方微博 | 高级检索  
     检索      

1961—2010年广西气温变化对全球变暖的响应
引用本文:王莹,苏永秀,李政.1961—2010年广西气温变化对全球变暖的响应[J].自然资源学报,2013,28(10):1707-1717.
作者姓名:王莹  苏永秀  李政
作者单位:1. 广西气象减灾研究所, 南宁 530022;2. 国家卫星气象中心遥感应用试验基地, 南宁 530022
基金项目:广西自然科学基金项目(2010GXNSFA013011);国家农业科技成果转化资金项目(2007GB2E100249)
摘    要:利用广西88 个气象站1961—2010 年的年平均气温和年极端最高、最低气温数据,运用GIS 技术、气候倾向率以及Mann-Kendall 突变检验方法对广西近50 a 气温的时空变化特征及突变特征进行分析。结果表明:在全球变暖影响下, 近50 a 广西全区年平均气温和年极端最高、最低气温总体上均呈上升趋势,其中年平均气温和年极端最低气温的气候倾向率均达到了极显著水平;年平均气温和年极端最高气温的突变时间分别为2001 年和2003 年,均比极端最低气温(1984 年) 晚了近20 a 左右;年极端最高和最低气温存在非对称变化。时空分布图表明,区域平均值忽略了研究区域内的差异,尽管近50 a 来广西气温区域平均值的总体变化呈上升趋势,但不同时期各地区间气温变化的趋势和幅度各有差异。

关 键 词:GIS  全球变暖  区域响应  年平均气温  年极端气温  
收稿时间:2012-07-02
修稿时间:2012-12-29

Responses of Temperature Change in Guangxi to Global Warming during 1961-2010
WANG Ying,SU Yong-xiu,LI Zheng.Responses of Temperature Change in Guangxi to Global Warming during 1961-2010[J].Journal of Natural Resources,2013,28(10):1707-1717.
Authors:WANG Ying  SU Yong-xiu  LI Zheng
Institution:1. Institute of Guangxi Meteorological Disaster Mitigation, Nanning 530022, China;2. National Satellite Meteorological Center Remote Sensing Application Test Base, Nanning 530022, China
Abstract:The spatial and temporal variation characteristics of temperature were analyzed by using GIS technique, climatic inclination rate and Mann-Kendall catastrophe test, based on the annual average temperature, annual extreme maximum and minimum temperature of 88 meteorological stations in Guangxi from 196l to 2010. Under the global warming, the annual average temperature, annual extreme maximum and minimum temperature in Guangxi had an increasing trend, and the climate inclination rate of annual average temperature and extreme minimum temperature reached a significant level; the abrupt change of annual average temperature and extreme maximum temperature occurred about 20 years later than the extreme minimum temperature's abrupt changes. Asymmetric changes were observed in the annual extreme maximum and minimum temperature. The spatial and temporal variation distribution showed that: regional average ignored the differences in the area, even though nearly 50 years the overall change of regional average temperature is rising, yet the temperature in different areas and periods had differences in trend and range.
Keywords:global warming  regional response  GIS  annual mean temperature  annual extreme temperature
点击此处可从《自然资源学报》浏览原始摘要信息
点击此处可从《自然资源学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号