IGSNRR OpenIR
Pan coefficient sensitivity to environment variables across China
Wang, Kaiwen1,5; Liu, Xiaomang1; Tian, Wei1,5; Li, Yanzhong2; Liang, Kang1; Liu, Changming1; Li, Yuqi3; Yang, Xiaohua4
2019-05-01
Source PublicationJOURNAL OF HYDROLOGY
ISSN0022-1694
Volume572Pages:582-591
Corresponding AuthorLiu, Xiaomang(liuxm@igsnrr.ac.cn)
AbstractData 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.
KeywordOpen water evaporation Pan evaporation Pan coefficient (K-p) Sensitivity analysis K-p most sensitive to relative humidity
DOI10.1016/j.jhydrol.2019.03.039
WOS KeywordREFERENCE EVAPOTRANSPIRATION ; REFERENCE CROP ; EVAPORATION ; WATER ; MODEL
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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
WOS Research AreaEngineering ; Geology ; Water Resources
WOS SubjectEngineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS IDWOS:000467891900046
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/59366
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLiu, Xiaomang
Affiliation1.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
Recommended Citation
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.
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