Modelling interannual variations in catchment evapotranspiration considering vegetation and climate seasonality using the Budyko framework
文献类型：期刊论文
| 作者 | Wang, Yaqin1,2,3; Luo, Yi1,2 ; Shafeeque, Muhammad1,2; Zhou, Meilin1,2; Li, Hongyu1,2
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| 刊名 | HYDROLOGICAL PROCESSES
 |
| 出版日期 | 2021-04-01 |
| 卷号 | 35期号:4页码:15 |
| 关键词 | Budyko framework catchment evapotranspiration climate seasonality vegetation dynamics vegetation phenology Yellow River Basin |
| ISSN号 | 0885-6087 |
| DOI | 10.1002/hyp.14118 |
| 通讯作者 | Luo, Yi(luoyi@igsnrr.ac.cn) |
| 英文摘要 | The Budyko framework is an efficient tool for investigating catchment water balance, focusing on the effects of seasonal changes in climate (S) and vegetation cover (M) on catchment evapotranspiration (ET). However, the effects of vegetation seasonality on ET remain largely unknown. The present study explored these effects by modelling interannual variations in ET considering vegetation and climate seasonality using the Budyko framework. Reconstructed 15-day GIMMS NDVI3g timeseries data from 1982 to 2015 were used to estimate M and extract the relative duration of the vegetation growing season (GL) in the Yellow River Basin (YRB). To characterize S, seasonal variations in precipitation and potential ET were extracted using a Gaussian algorithm. Analysis of the observed datasets for 19 catchments revealed that interannual variation in the catchment parameter omega(in Fuh's equation) was significantly and positively correlated with M and GL. Conversely, omega was significantly but negatively correlated with S. Furthermore, stepwise linear regression was used to calibrate the empirical formula of omega for these three dimensionless parameters. Following validation, based on observations in the remaining 11 catchments, omega was integrated into Fuh's equation to accurately estimate annual ET. Over 79% subcatchments showed an upward trend (0.9 mm yr(-1)), whereas fewer than 21% subcatchments showed a downward trend (-0.5 mm yr(-1)) across YRB. In the central region of the middle reach, ET increased with increased M, prolonged GL, and decreased S, whereas in the source region of YRB, ET decreased with decreased M and shortened GL. Our study provides an alternative method to estimate interannual ET in ungauged catchments and offers a novel perspective to investigate hydrological responses to vegetation and climate seasonality in the long-term. |
| WOS关键词 | SEMIARID MOUNTAIN REGIONS ; YELLOW-RIVER BASIN ; WATER-BALANCE ; MONTHLY PRECIPITATION ; TIME-SERIES ; PHENOLOGY ; GREEN ; NDVI ; VARIABILITY ; DYNAMICS |
| 资助项目 | National Key Research and Development Program[2016YFC0501603] ; National Natural Science Foundation of China[41390461] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20060301] |
| WOS研究方向 | Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000645220700014 |
| 出版者 | WILEY |
| 资助机构 | National Key Research and Development Program ; National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/162965]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Luo, Yi |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci UCAS, Beijing, Peoples R China 3.China Land Surveying & Planning Inst, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Yaqin,Luo, Yi,Shafeeque, Muhammad,et al. Modelling interannual variations in catchment evapotranspiration considering vegetation and climate seasonality using the Budyko framework[J]. HYDROLOGICAL PROCESSES,2021,35(4):15. |
| APA | Wang, Yaqin,Luo, Yi,Shafeeque, Muhammad,Zhou, Meilin,&Li, Hongyu.(2021).Modelling interannual variations in catchment evapotranspiration considering vegetation and climate seasonality using the Budyko framework.HYDROLOGICAL PROCESSES,35(4),15. |
| MLA | Wang, Yaqin,et al."Modelling interannual variations in catchment evapotranspiration considering vegetation and climate seasonality using the Budyko framework".HYDROLOGICAL PROCESSES 35.4(2021):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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