干旱区生态环境知识资源中心(Arid): A measurement, quantitative identification and estimation method(QINRW) of non-rainfall water component by lysimeter

Arid

DOI	10.1016/j.mex.2019.11.012
	A measurement, quantitative identification and estimation method(QINRW) of non-rainfall water component by lysimeter
	Zhang, Qiang; Wang, Sheng; Yue, Ping; Wang, Runyuan
通讯作者	Zhang, Q ; Wang, S
来源期刊	METHODSX
EISSN	2215-0161
出版年	2019
卷号	6 页码:2873-2881
英文摘要	Non-rainfall water (NRW) has an important impact on the ecosystem, especially in arid and semi-arid areas. It is also an important component in the surface water cycle. Currently, there is not any instrument that can directly measure NRW and it can only be estimated by observation data. Presently, there is no standard method available to estimate each constituents of NRW. With some research not distinguishing each component of NRW, this inaccurate methodology will consequently lead to a greater scope for statistical error. Naturally, this compounds the difficulty in evaluating the role of NRW on the ecosystem and land surface water cycle. Therefore, this paper proposes a new methodology for separating NRW components, which is called QINRW(A Quantitative Identification method for NRW). Based on lysimeter data and combined with meteorological data, this method distinguishes the physical properties of each component of NRW. Consequently, the amount of NRW can be obtained. It is also suitable for microlysimeter data to be applied in QINRW. The advantages of QINRW are three points: It is more accurate for excluding the precipitation and dry deposition information from lysimeter data, which was not mentioned in previous studies; It can obtain each component of NRW; The identification process is more rigorous and clear in theory so far. (C) 2019 The Author(s). Published by Elsevier B.V.
英文关键词	Non-rainfall water(NRW) QINRW(quantitative identification method for NRW) Lysimeter Land surface water (LSW) balance Dew Water vapor adsorption(WVA) Fog
类型	Article
语种	英语
开放获取类型	DOAJ Gold, Green Published
收录类别	ESCI
WOS记录号	WOS:000501320800010
WOS关键词	NIGHTTIME EVAPOTRANSPIRATION ; EDDY COVARIANCE ; DEW FORMATION ; PRECIPITATION ; BALANCE ; REGION ; BUDGET
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
来源机构	兰州大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/333970
作者单位	[Zhang, Qiang; Wang, Sheng; Yue, Ping; Wang, Runyuan] CMA, Key Lab Arid Climat Change & Reducing Disaster Ga, Key Open Lab Arid Climate Change & Disaster Reduc, Inst Arid Meteorol, Lanzhou, Gansu, Peoples R China; [Zhang, Qiang] Gansu Meteorol Bur, Lanzhou, Gansu, Peoples R China; [Zhang, Qiang] Lanzhou Univ, Coll Atmospher Sci, Key Lab Semiarid Climate Change, Minist Educ, Lanzhou, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Qiang,Wang, Sheng,Yue, Ping,et al. A measurement, quantitative identification and estimation method(QINRW) of non-rainfall water component by lysimeter[J]. 兰州大学,2019,6:2873-2881.
APA	Zhang, Qiang,Wang, Sheng,Yue, Ping,&Wang, Runyuan.(2019).A measurement, quantitative identification and estimation method(QINRW) of non-rainfall water component by lysimeter.METHODSX,6,2873-2881.
MLA	Zhang, Qiang,et al."A measurement, quantitative identification and estimation method(QINRW) of non-rainfall water component by lysimeter".METHODSX 6(2019):2873-2881.