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作 者:张善红 李宏印 屈妍 任嫄 ZHANG Shan-hong;LI Hong-yin;QU Yan;REN Yuan(College of Urban,Rural Planning and Architectural Engineering,Shangluo University,Shangluo 726000,China;Shangluo Meteorological Bureau,Shangluo 726000,China;School of Tourism&Research Institute of Human Geography,Xi'an International Studies University,Xi'an 710128,China)
机构地区:[1]商洛学院城乡规划与建筑工程学院,商洛726000 [2]商洛市气象局,商洛726000 [3]西安外国语大学旅游学院,西安710128
出 处:《价值工程》2024年第1期150-153,共4页Value Engineering
基 金:商洛市气候适应型城市重点实验室开放研究基金(SLSY2019019);陕西省大学生创新训练项目(S202111396066)。
摘 要:基于2000-2019年NPP数据和气象数据,采用一元线性回归分析方法和相关分析方法,揭示了商洛地区NPP的时空变化特征以及NPP与极端气候指数的响应情况,结果表明:2000-2019年商洛地区NPP总体呈显著增加趋势,年均NPP最高值出现于2015年,最低值出现在2001年;2000-2019年商洛地区植被NPP均值空间分布差异显著,整体上呈现东西部高于中部,中部高于南北的分布格局,研究区近20年来NPP出现正增长的面积占比约98.77%;商洛地区的NPP受极端气温的影响比极端降水明显,与极端气温暖指数(暖昼日数和日最高气温的极高值)、气温日较差多呈正相关,与极端气温冷指数(冷昼日数和日最低气温的极低值)、极端降水指数多呈负相关。Based on the meteorological data from 2000 to 2019 and the net primary productivity(NPP)of vegetation in Shangluo City,Shaanxi Province,the paper analyzed the temporal and spatial variation characteristics of NPP and the response to extreme climate index by using unary linear regression analysis method and correlation analysis method.The results showed that:from 2000 to 2019,the annual NPP in Shangluo was increased significantly,and the annual NPP highest value appeared in 2015,and the lowest value appeared in 2001.The spatial distribution of NPP in Shangluo was significantly different,showing that the distribution of NPP in the East and West was higher than that in the middle and the middle part was higher than that in the north and south.The positive increase of NPP in the study area in recent 20 years accounts for about 98.77%.The NPP in Shangluo was more affected by extreme temperature than extreme precipitation.It was positively correlated with extreme air warmth index(the highest daily and maximum daily temperature)and daily temperature range,and negatively correlated with extreme air temperature cold index(the cold day number and the lowest daily temperature)and extreme precipitation index.
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