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Relations of rescaled to non-rescaled complementary models and improvement of evapotranspiration estimation by incorporating both climatic and land surface conditions

文献类型：期刊论文

作者Mu, Zhaotao5,6,7; Liu, Wenzhao3,4,5,6,7; Ma, Ning2; Cheng, Changwu4,5,6,7; Zhou, Haixiang1
刊名AGRICULTURAL WATER MANAGEMENT
出版日期2024-09-01
卷号302页码:12
关键词Land surface evapotranspiration Complementary relationship Model parameter Rescaled variable Loess Plateau Ecohydrology
ISSN号0378-3774
DOI10.1016/j.agwat.2024.108989
产权排序6
英文摘要The accurate quantification of actual evapotranspiration (ET) is crucial for water resources management in agricultural production and ecological construction. Estimating ET using both rescaled and non-rescaled complementary relationship (CR) models has become a hotspot in the research on terrestrial ET. This study explores the relationship between these two CR models and improves the method for calculating xmin, which is the value of the independent variable x when the dependent variable y is equal to zero in rescaled CR models. The rescaled and non-rescaled CR models can be functionally interconvertible, i.e., the non-rescaled CR model enables the rescaled simulation of ET and the rescaled CR model can also conduct a non-rescaled simulation. The parameter b or c in the non-rescaled CR models plays a role similar to xmin in the rescaled models and vice versa. Based on the data from 15 catchments in the Loess Plateau of China, we validate this relationship between two CR models. Meanwhile, we evaluate the formulation for xmin proposed by Crago et al. (2016) (xmin-d) and the results show that the range of variation for xmin-d values is smaller than that for the xmin values obtained by inverse method from the models (xmin-i) in the interannual process. The mean xmin-i value of RCR-C2016 is larger than that of RCR-S2017, while the mean xmin-d value is in between these two values. The empirical function for xmin is developed using the aridity index (AI) and normalized difference vegetation index (NDVI) as independent variables in the interannual fluctuations. The empirical function for xmin is expressed only using the AI in the spatial variations at a mean annual scale. Cross-validation results show that the rescaled CR models with the empirical functions of xmin can more accurately estimate ET and simulate its interannual and spatial changes.
WOS关键词WATER-USE EFFICIENCY ; LOESS PLATEAU ; TERRESTRIAL EVAPOTRANSPIRATION ; HYDROLOGICAL RESPONSES ; LANDSCAPE EVAPORATION ; CALIBRATION-FREE ; GROWING-SEASON ; VARIABILITY ; VEGETATION ; PRINCIPLE
资助项目National Natural Science Foundation of China[41971049] ; CAS Youth Innovation Promotion Association[2023059] ; CAS Youth Innovation Promotion Association[2022RC003]
WOS研究方向Agriculture ; Water Resources
语种英语
WOS记录号WOS:001294504500001
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; CAS Youth Innovation Promotion Association
源URL[http://ir.igsnrr.ac.cn/handle/311030/209164]  
专题陆地水循环及地表过程院重点实验室_外文论文
通讯作者Liu, Wenzhao
作者单位1.Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Gansu, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
3.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess Pl, Yangling 712100, Shaanxi, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China
6.Minist Educ, Yangling 712100, Shaanxi, Peoples R China
7.Chinese Acad Sci, Res Ctr Soil & Water Conservat & Ecol Environm, State Key Lab Soil Eros & Dryland Farming Loess Pl, Yangling 712100, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714		 Mu, Zhaotao,Liu, Wenzhao,Ma, Ning,et al. Relations of rescaled to non-rescaled complementary models and improvement of evapotranspiration estimation by incorporating both climatic and land surface conditions[J]. AGRICULTURAL WATER MANAGEMENT,2024,302:12.
APA Mu, Zhaotao,Liu, Wenzhao,Ma, Ning,Cheng, Changwu,&Zhou, Haixiang.(2024).Relations of rescaled to non-rescaled complementary models and improvement of evapotranspiration estimation by incorporating both climatic and land surface conditions.AGRICULTURAL WATER MANAGEMENT,302,12.
MLA Mu, Zhaotao,et al."Relations of rescaled to non-rescaled complementary models and improvement of evapotranspiration estimation by incorporating both climatic and land surface conditions".AGRICULTURAL WATER MANAGEMENT 302(2024):12.

入库方式： OAI收割

来源：地理科学与资源研究所

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