期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
“数+量+动”结构的名词性及其生成机制 被引量:3
1
作者 闫亚平 《湖南人文科技学院学报》 2014年第3期96-100,共5页
借鉴构式语法理论对"数+量+动"结构进行分析。在典型构式"数+量+名"的基础上形成的"数+量+X"构式,其构式义有三项内容,即1、"数+量"对"X"进行计量;2、构式整体上是名词性的,且这种... 借鉴构式语法理论对"数+量+动"结构进行分析。在典型构式"数+量+名"的基础上形成的"数+量+X"构式,其构式义有三项内容,即1、"数+量"对"X"进行计量;2、构式整体上是名词性的,且这种名词性不随其内部成分的变化而变化;3、X位置上的词语在该构式的层面上表现为名词性,而在语义层面上这个位置上的词语可以是名词,也可以是动词、形容词等。因此,"数+量+动"作为非典型构式,是典型构式"数+量+名"的继承和引申,其"动词"及整个结构的名词性是"数+量+X"这一构式赋予的,是一定认知机制制导下构式压制的结果。 展开更多
关键词 “数++动” 名词性 构式压制
下载PDF
Ecological environmental quality evaluation and driving factor analysis of the Lijiang River Basin,based on Google Earth Engine
2
作者 WEI Xi YANG Dazhi +2 位作者 CAI Xiangwen SHAO Ya TANG Xiangling 《中国生态农业学报(中英文)》 CAS 2024年第9期1592-1608,共17页
For regional ecological management,it is important to evaluate the quality of ecosystems and analyze the underlying causes of ecological changes.Using the Google Earth Engine(GEE)platform,the remote sensing ecological... For regional ecological management,it is important to evaluate the quality of ecosystems and analyze the underlying causes of ecological changes.Using the Google Earth Engine(GEE)platform,the remote sensing ecological index(RSEI)was calculated for the Lijiang River Basin in Guangxi Zhuang Autonomous Region for 1991,2001,2011,and 2021.Spatial autocorrelation analysis was employed to investigate spatiotemporal variations in the ecological environmental quality of the Lijiang River Basin.Furthermore,geographic detectors were used to quantitatively analyze influencing factors and their interaction effects on ecological environmental quality.The results verified that:1)From 1991 to 2021,the ecological environmental quality of the Lijiang River Basin demonstrated significant improvement.The area with good and excellent ecological environmental quality in proportion increased by 19.69%(3406.57 km^(2)),while the area with fair and poor ecological environmental quality in proportion decreased by 10.76%(1860.36 km^(2)).2)Spatially,the ecological environmental quality of the Lijiang River Basin exhibited a pattern of low quality in the central region and high quality in the periphery.Specifically,poor ecological environmental quality characterized the Guilin urban area,Pingle County,and Lingchuan County.3)From 1991 to 2021,a significant positive spatial correlation was observed in ecological environmental quality of the Lijiang River Basin.Areas with high-high agglomeration were predominantly forests and grasslands,indicating good ecological environmental quality,whereas areas with low-low agglomeration were dominated by cultivated land and construction land,indicating poor ecological environmental quality.4)Annual average precipitation and temperature exerted the most significant influence on the ecological environmental quality of the basin,and their interactions with other factors had the great influence.This study aimed to enhance understanding of the evolution of the ecological environment in the Lijiang River Basin of Guangxi Zhuang Autonomous Region and provide scientific guidance for decision-making and management related to ecology in the region. 展开更多
关键词 Ecological environmental quality Remote sensing ecological index Driving factor Google Earth Engine Lijiang River Basin
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部