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

多时间尺度下黑龙江省1980—2014年干湿演变特征及主导因子分析
引用本文:颜雅琼,申双和,岳元,王琪,刘海秋.多时间尺度下黑龙江省1980—2014年干湿演变特征及主导因子分析[J].气象科学,2020,40(2):200-208.
作者姓名:颜雅琼  申双和  岳元  王琪  刘海秋
作者单位:宿迁市气象局 江苏 宿迁 223800;应用气象学院/气象灾害预报预警与评估协同中心/气象灾害教育部重点实验室/气候与环境变化国际合作联合实验室/江苏省农业气象重点实验室 南京信息工程大学, 南京 210044;吉林省气象台 长春 130062;吉林省气象科学研究所 长春 130062;国电环境保护研究院有限公司, 南京 210031
基金项目:江苏省气象局青年基金项目(KQ202016);宿迁市科技支撑计划项目(S201607);江苏省预报员专项(JSYBY201907);江苏省预报员专项(JSYBY201813)
摘    要:利用黑龙江省1980—2014年28个气象台站常规观测资料,计算得到全省的相对湿润度指数。运用ArcGIS反距离权重空间插值法、趋势系数及相关分析法对全省作物生长季及各个季节干旱分布、干湿发展趋势及主要影响因素进行具体分析。结果表明:就相对湿润度指数年际分布而言,生长季干旱主要集中在2000—2010年,夏季和秋季干旱主要集中在1995年之后,春季干旱则在全时段均有发生,其中重旱和特旱居多;就相对湿润度指数变化趋势而言,春季全省整体呈微湿润化的趋势,冬季呈显著地湿润化发展趋势,其余时段则呈现干旱化发展,但不同时段空间差异显著;分析降雨量、潜在蒸散量与相对湿润度指数的相关系数发现,降雨量始终是黑龙江省生长季及各个季节相对湿润度指数变化的主导因子,但夏季潜在蒸散量的影响有所增加。

关 键 词:PENMAN-MONTEITH公式  相对湿润度指数  干旱  黑龙江省
收稿时间:2018/7/12 0:00:00
修稿时间:2019/1/11 0:00:00

Analysis of dry/wet evolution characteristics and dominant factors in Heilongjiang Province on multiple time scales from 1980 to 2014
YAN Yaqiong,SHEN Shuanghe,YUE Yuan,WANG Qi,LIU Haiqiu.Analysis of dry/wet evolution characteristics and dominant factors in Heilongjiang Province on multiple time scales from 1980 to 2014[J].Scientia Meteorologica Sinica,2020,40(2):200-208.
Authors:YAN Yaqiong  SHEN Shuanghe  YUE Yuan  WANG Qi  LIU Haiqiu
Institution:Suqian Meteorological Bureau, Jiangsu Suqian 223800, China;College of Applied Meteorology/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster. Key Laboratory of Meteorological Disaster, Ministry of Education/International Cooperative Laboratory on Climate and Environmental Change, Key Laboratory of Agricultural Meteorology ofJiangsu Province Nanjing University of Information cience & Technology/Nanjing 210044, China;Jilin Meteorological Observatory, Changchun 130062, China;Jilin Institute of Meteorology Science Changchun 130062, China; Limited Company of State Power Environmental Protection Research Institute, Nanjing 210031, China
Abstract:The relative humidity index of Heilongjiang Province was calculated by using the conventional observations of 28 meteorological stations from 1980 to 2014.The crop growth season,drought distribution,dry/wet development trend of the province,and main influencing factors were analyzed specifically using inverse distance weight spatial interpolation in ArcGIS,trend coefficient and correlational analysis method.The results are obtained as follows.In terms of the interannual relative humidity index distribution,the drought in the growing season mainly concentrated in the period of 2000—2010;the drought in summer and autumn mainly concentrated in the years after 1995 years;the drought in spring have occurred in all the time,and severe drought and extreme drought were in the majority.In terms of the variation trend of relative humidity index,the whole province presents a trend of slightly wetting in spring,and a trend of significant wetting in winter,while a trend of drying in the rest periods,but the spatial difference is significant in different periods.By analyzing the correlation coefficients of precipitation,potential evapotranspiration and relative humidity index,it is found that precipitation has always been the leading factor causing the relative humidity index changes in the growth season and other seasons in Heilongjiang Province,but the impact of potential evapotranspiration in summer has increased.
Keywords:Penman-Monteith formula  relative humidity index  drought  Heilongjiang Province
本文献已被 维普 等数据库收录!
点击此处可从《气象科学》浏览原始摘要信息
点击此处可从《气象科学》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