Based on the data of daily temperature, precipitation and sunshine hours from March to May of 8 meteorological stations in Xinxiang from 1971 to 2014, the authors used linear tendency estimate method, accumulative anomaly method and Mann-Kendall method with GIS technology, discussed and analyzed the climate change trend and spatial-temporal distribution features in spring in Xinxiang, in order to provide reference for disaster prevention and mitigation. The results showed that the spring temperature in Xinxiang had an increasing trend with an average growth rate as 0.035℃/a, and a significant mutation of temperature increase happened in 1998, the warming rate of the north was higher than that of the south. The spring precipitation presented a weak increasing trend with an average increase rate as 0.220 mm/a, and the change was not obvious and the interannual volatility was relatively large. The increase trend of precipitation was more in the north than that in the south overall. The sunshine hours in spring had a decreasing tendency with an average rate of 1.216 h/a, and a significant decline mutation happened in 1984, the sunshine hours reduction in the north was obviously higher than that in other regions. The global warming had caused obviously regional climate variability in Xinxiang.
Key words
Climate Change; Spatial-temporal Distribution; Characteristics Analysis; GIS
{{custom_keyword}} /
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
References
[1]宋巧云,魏凤英.年代际气候变化研究进展[J].气象科技,2006,34(1):1-6.
[2]IPCC. Summary of Policymakers of Climate change 2007: ThePhysical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [M]. Cambridge University Press:Cambridge University Press,2007:996.
[3]阿布都克日木,阿巴司,秦榕.喀什地区1961-2010年气候变化特征 [J].沙漠与绿洲气象,2012,6(6):S34-40.
[4]朱爱民,任崇勇.菏泽市近50年气候变化特征分析 [J].山东气象,012,32(130):S12-14.
[5]郑度.21世纪人地关系研究前瞻[J].地理研究,2002,21(1):9-13.
[6]易浪,任志远,崔宇,等.陕西省1961~2011年气温和降水变化趋势及突变分析[J].华中师范大学学报,2014,48(4):592-600.
[7]邢轶兰,邸利,何毅,等.1960-2013年甘肃省气温、降水变化特征分析[J].中国农学通报2015,31(23):175-181.
[8]刘玉莲,于宏敏, 任国玉,等.我国强降雪气候特征及其变化[J].应用气象学报,2013,24(3):304-313.
[9]蔡新玲,王繁强,吴素良.陕北黄土高原近42年气候变化分析[J].气象科技,2007,35(1):45-48.
[10]杨勇,周学文.忻州市近50年气候变化特征分析[J].中国农学通报,2014,30(20):237-243.
[11] 祝小梅,朱弋.1961-2009年新疆伊犁地区暴雨日时空变化特征[J].气象与环境学报,2013,29(5):63-68.
[12] 张红卫,陈怀亮,张弘.河南省春季降水与温度变化的时空分布-基于地理信息系统的分析[J].自然灾害学报,2012,21(1):170-173.
[13]杨建莹,陈志峰,严昌荣,等.近50年黄淮海平原气温变化趋势和突变特征[J].中国农业气象,2013,34(1):S1-7.
[14]魏凤英.现代气候统计诊断预测技术[M].北京:气象出版社,1999:69-72.
[15]黄嘉佑.气象统计分析与预报方法[M].北京:气象出版社,2004:28-30.
[16]袭祝香,王文跃,时霞丽.吉林省春旱风险评估及区划[J].中国农业气象,2008,29(1):119-122.
[17]成林,张志红,常军.近47年来河南省冬小麦干热风灾害的变化分析[J].中国农业气象,2011,32(3):S456-460.
[18]符淙斌,王强.气候突变的定义和检测方法[J].大气科学,1992,16(4):482-493.
[19]靳利梅.近50年上海地区日照时数的变化特征及影响因素[J].气象科技,2012,40(2):293-298.
[20]何彬方,冯妍,荀尚培,等.安徽省50年日照时数的变化特征及影响因素[J].自然资源学报,2009,24(7):1275-1285.
{{custom_fnGroup.title_en}}
Footnotes
{{custom_fn.content}}