气候变化领域集成服务门户(CCPortal): Modelling and attributing evapotranspiration changes on China's Loess Plateau with Budyko framework considering vegetation dynamics and climate seasonality

CCPortal

DOI	10.1007/s00477-020-01813-0
	Modelling and attributing evapotranspiration changes on China's Loess Plateau with Budyko framework considering vegetation dynamics and climate seasonality
	Ning, Tingting; Liu, Wenzhao; Li, Zhi; Feng, Qi
发表日期	2020
ISSN	1436-3240
EISSN	1436-3259
起始页码	1217
结束页码	1230
卷号	34 期号:8
英文摘要	The Grain for Green Project in China's Loess Plateau has significantly increased the vegetation coverage (M) since it was implemented in 1999. Accurately modelling evapotranspiration (ET) and attributing its changes are important for assessing the hydrological effects of revegetation in this area. Budyko-based models have been widely used to estimate ET whereby the controlling parameter (omega) captures the effects of land surface conditions and climate seasonality. Although the effects of climate seasonality on ET variation have been theoretically discussed, its important role in omega remains further investigation. An improved climate seasonality and asynchrony index (SAI) was thus used to reflect the seasonality and asynchrony of water and energy distribution in this study. Then omega was extended to M and SAI at grid scale to model annual ET by linking Fu equation in China's Loess Plateau for the period 1981-2012. Further, the whole study period was split into two sub-periods at the year of 1999, and then the complementary method was used to quantify the contributions of precipitation (P), potential evapotranspiration (E-0), M and SAI changes to ET variation between the two sub-periods. The results showed that ET increased by 5.1 mm/yr after 1999. ET is most sensitive to changes in P, followed by M, E-0, and SAI. However, increasing M dominated the overall increase in ET, outweighing the effects of decreasing P and increasing SAI. Because SAI accounted for almost a third of total ET change, the impacts of climate seasonality cannot be ignored in ET simulation and attribution analysis.
英文关键词	Evapotranspiration; Budyko method; Climate seasonality; Vegetation
WOS研究方向	Engineering ; Environmental Sciences & Ecology ; Mathematics ; Water Resources
WOS类目	Engineering, Environmental ; Engineering, Civil ; Environmental Sciences ; Statistics & Probability ; Water Resources
WOS关键词	ANNUAL WATER-BALANCE ; RAINFALL SEASONALITY ; RUNOFF ; EVAPORATION ; SOIL ; RESTORATION ; TIME ; PRECIPITATION ; VARIABILITY ; TOPOGRAPHY
WOS记录号	WOS:000530600900001
来源期刊	STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/239349
作者单位	[Ning, Tingting; Feng, Qi] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Ecohydrol Inland River Basin, Lanzhou 730000, Peoples R China; [Liu, Wenzhao; Li, Zhi] Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Ning, Tingting,Liu, Wenzhao,Li, Zhi,et al. Modelling and attributing evapotranspiration changes on China's Loess Plateau with Budyko framework considering vegetation dynamics and climate seasonality[J]. 中国科学院西北生态环境资源研究院,2020,34(8).
APA	Ning, Tingting,Liu, Wenzhao,Li, Zhi,&Feng, Qi.(2020).Modelling and attributing evapotranspiration changes on China's Loess Plateau with Budyko framework considering vegetation dynamics and climate seasonality.STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,34(8).
MLA	Ning, Tingting,et al."Modelling and attributing evapotranspiration changes on China's Loess Plateau with Budyko framework considering vegetation dynamics and climate seasonality".STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 34.8(2020).