摘要
太行山东麓南段是太行山一个主要的焚风中心,选择太行山东麓南段4个受影响地市(石家庄、邢台、邯郸、衡水)2011—2020年冬小麦灌浆期和乳熟期(5月10日~6月10日)61个中国国家气象站逐小时气象资料,从时间和空间维度,分析焚风对太行山东麓南段冬麦区干热风灾害的影响.结合2019年中国气象局发布的《小麦干热风灾害等级》(QX/T82—2019),提出了焚风影响地区干热风统计方式,完善了焚风影响地区小麦干热风统计的相关规定.结果表明,时间维度上,致灾焚风和干热风年度分布相关性较高,致灾焚风是造成5月10日~5月30日干热风的主要因素,进入6月后,干热风受致灾焚风和太阳辐射增温共同影响.空间维度上,太行山东麓南段以东50km以内受焚风运动影响强烈,干热风频次空间变化呈现出太行山东麓南段西部丘陵和山前平原为高值、自西向东强度逐渐减弱的梯度特征.基于GIS技术研究2019年5月22日典型的焚风致灾个例,将气温分为8个等级,对灾害过程进行逐小时动态化空间分析,研究并计算气温变化的垂直运行项,结果表明,致灾焚风增温对干热风灾害中气温升高的贡献率约为8成.
There is a major foehn center in southern section of Taihang mountains.Based on hourly meteorological data of 61 national meteorological stations in Shijiazhuang,Xingtai,Handan and Hengshui cities from grain filling to milk maturity stagcs(May 10th to June 10th)of winter wheat.This paper analyzed the influence of foehn on dry-hot wind disasters in winter wheat region located southern section of east slope of Taihang mountains based on spatial-time dimension.In combination with"Disaster Grade of Dry-hot Wind for Wheat"(QX/T82-2019),this paper proposes a dry-hot wind statistics method,and further improves the relevant regulations on statistics of wheat dry-hot wind affected by foehn.The temporal variation analysis shows that the annual distribution of dry-hot wind is strongly influenced by disaster-causing foehn,and disaster-causing foehn is the main factor causing dry-hot wind on may 10-30,solar radiation is another factor that leads to dry-hot wind after June.The spatial variation analysis shows that spatial distribution of dry-hot wind is strongly influenced by foehn movement within 50 km on cast side of southern section of Taihang mountains,the spatial variation trend shows that frequency of dry-hot wind in western hills and piedmont plain is the highest,the intensity from west to east gradually weakens,which has certain gradient character.Based on GIS technology,this paper studies a typical case of foehn disaster on may 22,2019.divides air temperature into 8 grades,analyzes hourly dynamic spatial disaster process,calculates the vertical operation items of air temperature change,the results show that the contribution rate of temperature increase of disaster-causing foehn to air temperature increase of dry-hot wind is about 80%.
作者
李迪
王丛梅
孙晶
王丽荣
LI Di;WANG Congmei;SUN Jing;WANG Lirong(Xingtai Meteorological Bureau,Hebei Xingtai 054099,China;Hebei Meteorological Disaster Preparedness Centre,Hebei Shijiazhuang 050022,China)
出处
《河北师范大学学报(自然科学版)》
CAS
2022年第6期621-627,共7页
Journal of Hebei Normal University:Natural Science
基金
邢台市重点研发计划项目(2020ZC143)。
关键词
焚风
干热风
太行山
冬麦区
风险
foehn
dry-hot wind
Taihang mountains
winter wheat region
risk