干旱区生态环境知识资源中心(Arid): Dry/wet climate zoning and delimitation of arid areas of Northwest China based on a data-driven fashion

Arid

	Dry/wet climate zoning and delimitation of arid areas of Northwest China based on a data-driven fashion
	Geng Qingling; Wu Pute; Zhang Qingfeng; Zhao Xining; Wang Yubao
来源期刊	Journal of Arid Land
ISSN	1674-6767
出版年	2014
卷号	6 期号:3 页码:287-299
英文摘要	The division of arid areas is important in water and land resources management, planning and for a long-term agricultural, economic and social planning. Northwest China (NW) dominates the main arid areas in China. There is thus a need to adopt adequate concepts relative to the scope of arid areas of NW China and identify its climate types and characteristics. In this study, we analyzed climatic data over the last 30 years (1981-2010) from 191 stations in three provinces and three autonomous regions of NW China. The factor-cluster analysis technique (FC), an objective and automated method was employed to classify the dry/wet climate zones. The traditional methods with predefined thresholds were adopted for providing a comparison with FC. The results showed that the wet/dry climate zones by FC were mainly distributed along mountains, rivers and desert borders. Climate-division boundaries relied heavily on the major terrain features surrounding the grouped stations. It also showed that the climate was dry in the plain sandy areas but relatively wet in the high mountain areas. FC method can reflect the climate characteristics more fully in NW China with varied and complicated topography, and outperform the traditional climate classifications. Arid areas of NW China were defined as four climate types, including five resultant classes in FC classifications. The Qinling and Da Hinggan Mountains were two important boundaries, besides main administrative boundaries. The results also indicated that there are some differences between two traditional classifications. The precipitation moved and fluctuated to an extent, which confirmed that climate change played an important role in the dry/wet climate zoning, and the boundaries of dry/wet climate zones might change and migrate with time. This paper is expected to provide a more in-depth understanding on the climate characteristics in arid areas of NW China, and then contribute to formulate reasonable water and land management planning and agricultural production programs.
英文关键词	arid areas classifications climate zoning factor-cluster analysis
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	CSCD
WOS研究方向	History
CSCD记录号	CSCD:5116155
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/335344
作者单位	Geng Qingling, Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, National Engineering Research Center for Water Saving Irrigation at Yangling, Yangling, Shanxi 712100, China.; Wu Pute, Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, National Engineering Research Center for Water Saving Irrigation at Yangling, Yangling, Shanxi 712100, China.; Zhao Xining, Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, National Engineering Research Center for Water Saving Irrigation at Yangling, Yangling, Shanxi 712100, China.; Zhang Qingfeng, Institute of Water Saving Agriculture in Arid Regions of China, Northwest A&F University, Yangling, Shanxi 712100, China.; Wang Yubao, Institute of Water Saving Agriculture in Arid Regions of China, Northwest A&F University, Yangling, Shanxi 712100, China.
推荐引用方式 GB/T 7714	Geng Qingling,Wu Pute,Zhang Qingfeng,et al. Dry/wet climate zoning and delimitation of arid areas of Northwest China based on a data-driven fashion[J],2014,6(3):287-299.
APA	Geng Qingling,Wu Pute,Zhang Qingfeng,Zhao Xining,&Wang Yubao.(2014).Dry/wet climate zoning and delimitation of arid areas of Northwest China based on a data-driven fashion.Journal of Arid Land,6(3),287-299.
MLA	Geng Qingling,et al."Dry/wet climate zoning and delimitation of arid areas of Northwest China based on a data-driven fashion".Journal of Arid Land 6.3(2014):287-299.