摘要
利用9个气象站点的日平均气温、最高气温、最低气温以及降水量等气象数据,采用RClimDex模型和ArcGIS技术,对陕北地区1960─2020年13个极端气候指数的时空变化规律及影响因素进行了研究。结果表明:在1960─2020年期间,陕北地区的极端降水强度在减弱,降水总量在增加,湿润程度在增强,极端降水的突变显著;月极端最低气温呈上升趋势,霜冻日数和冷昼日数下降显著,暖夜日数有微弱上升;连续干旱日数、极强降水量和年总降水量呈现北高、南低的变化趋势;大雨日数、日最大降水量均大致呈西高、东低的变化趋势;霜冻日数呈东北高、西南低的变化趋势,而冷昼日数呈东高、西低的变化趋势;极端降水量、极端降水日数与经度、海拔和年平均气温有关,而极端气温日数受经纬度、海拔和年总降水量的影响较为明显。
Using the daily average temperature,maximum temperature,minimum temperature and precipitation data from 9 meteorological stations,RClimDex model and ArcGIS technology were used to study the spatio-temporal variation and influencing factors of 13 extreme climate indices in northern Shaanxi from 1960 to 2020.The results showed that from 1960 to 2020,the intensity of extreme precipitation was weakening,the total precipitation was increasing,the degree of humidity was increasing,and the mutation of extreme precipitation was significant.The monthly extreme minimum temperature showed an increasing trend,the number of frost days and cold days decreased significantly,and the number of warm night days increased slightly.The number of consecutive dry days,extreme precipitation and total annual precipitation were higher in the north and lower in the south.The number of heavy rain days and the daily maximum precipitation were higher in the west and lower in the east.The number of frost days was higher in the northeast and lower in the southwest,while the number of cold days was higher in the east and lower in the west.Extreme precipitation and the number of extreme precipitation days were related to longitude,altitude and annual mean temperature,while the number of extreme temperature days was significantly affected by longitude and latitude,altitude and annual total precipitation.
作者
薛斯文
周旗
XUE Si-wen;ZHOU Qi(Institute of International Rivers and Eco-security,Yunnan University,Kunming 650500,China;Shaanxi Key Laboratory of Disaster Monitoring and Mechanism Simulation,Baoji 721013,China)
出处
《江西农业学报》
CAS
2023年第8期147-156,共10页
Acta Agriculturae Jiangxi
关键词
陕北地区
极端气候指数
变化规律
影响因素
突变检验
Northern Shaanxi
Extreme climate index
Variation law
Influencing factor
Mutation test
