摘要
本文利用降水量和平均气温资料计算了长江流域中下游地区可利用降水量,并分析了其与南京和镇江段长江最高水位之间的关系,结果发现夏季6月和7月可利用降水量的不同分布类型对长江当月最高水位有直接的影响,并且这些分布类型出现频次的增多是造成长江水位持续升高的主要原因之一。
The relationship had been computed between Nanjing and Zhengjiang highest water levels and available precipitation of middle-lower reach areas of Yangtze, based on precipitation and mean temperature data. Results suggest that the different distribution type of available precipitation in June and July can affect the highest water level, and the rising frequency of the occurrence of these distribution types is one of the primary reasons why Yangtze highest water level keeps on rising in recent years.
出处
《气象科学》
CSCD
北大核心
2007年第1期82-87,共6页
Journal of the Meteorological Sciences
基金
江苏省科委社会发展项目(编号:BS2002067)资助
关键词
高水位
可利用降水
旋转EOF
Highest water level Available precipitation REOF