Pan coefficient sensitivity to environment variables across China

doi:10.1016/j.jhydrol.2019.03.039

	Pan coefficient sensitivity to environment variables across China
	Wang, Kaiwen 1,5; Liu, Xiaomang 1; Tian, Wei 1,5; Li, Yanzhong 2; Liang, Kang 1; Liu, Changming 1; Li, Yuqi 3; Yang, Xiaohua 4
刊名	JOURNAL OF HYDROLOGY
	2019-05-01
卷号	572 页码:582-591
关键词	Open water evaporation Pan evaporation Pan coefficient (K-p) Sensitivity analysis K-p most sensitive to relative humidity
ISSN号	0022-1694
DOI	10.1016/j.jhydrol.2019.03.039
通讯作者	Liu, Xiaomang(liuxm@igsnrr.ac.cn)
英文摘要	Data of open water evaporation (E-ow), such as evaporation of lake and reservoir, have been widely used in hydraulic and hydrological engineering projects, and water resources planning and management in agriculture, forestry and ecology. Because of the low-cost and maneuverability, measuring the evaporation of a pan has been widely regarded as a reliable approach to estimate E-ow through multiplying an appropriate pan coefficient (K-p). K-p is affected by geometry and materials of a pan, and complex surrounding environment variables. However, the relationship between K-p and different environment variables is unknown. Thus, this study chose China D20 pan as an example, used meteorological observations from 767 stations and introduced the latest PenPan model to analyze the sensitivity of K-p to different environment variables. The results show that, the distribution of annual K-p had a strong spatial gradient. For all the stations, annual K-p ranged from 0.31 to 0.89, and decreased gradually from southeast to northwest. The sensitivity analysis shows that for China as a whole, K-p was most sensitive to relative humidity, followed by air temperature, wind speed and sunshine duration. For 767 stations in China, K-p was most sensitive to relative humidity for almost all the stations. For stations north of Yellow River, wind speed and sunshine duration were the next sensitive variables; while for stations south of Yellow River, air temperature was the next sensitive variable. The method introduced in this study could benefit estimating and predicting K-p under future changing environment.
资助项目	National Natural Science Foundation of China[41330529] ; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences[2017A004] ; National Key Research and Development Program of China[2017YFC0506603] ; General Program of National Natural Science Foundation of China[51679007] ; Program for Bingwei Excellent Talents in Institute of Geographic Sciences and Natural Resources Research, CAS[2017RC204]
WOS关键词	REFERENCE EVAPOTRANSPIRATION ; REFERENCE CROP ; EVAPORATION ; WATER ; MODEL
WOS研究方向	Engineering ; Geology ; Water Resources
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000467891900046
资助机构	National Natural Science Foundation of China ; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences ; National Key Research and Development Program of China ; General Program of National Natural Science Foundation of China ; Program for Bingwei Excellent Talents in Institute of Geographic Sciences and Natural Resources Research, CAS
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/59365]
专题	中国科学院地理科学与资源研究所
通讯作者	Liu, Xiaomang
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 2.Nanjing Univ Informat Sci & Technol, Sch Hydrol & Water Resources, Nanjing 210044, Jiangsu, Peoples R China 3.Univ Washington, Dept Urban Design & Planning, Seattle, WA 98195 USA 4.Beijing Normal Univ, State Key Lab Water Environm Simulat, Sch Environm, Beijing, Peoples R China 5.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wang, Kaiwen,Liu, Xiaomang,Tian, Wei,et al. Pan coefficient sensitivity to environment variables across China[J]. JOURNAL OF HYDROLOGY,2019,572:582-591.
APA	Wang, Kaiwen.,Liu, Xiaomang.,Tian, Wei.,Li, Yanzhong.,Liang, Kang.,...&Yang, Xiaohua.(2019).Pan coefficient sensitivity to environment variables across China.JOURNAL OF HYDROLOGY,572,582-591.
MLA	Wang, Kaiwen,et al."Pan coefficient sensitivity to environment variables across China".JOURNAL OF HYDROLOGY 572(2019):582-591.