Inversion and spatiotemporal evolution of actual evapotranspiration in southwest China for the past 50 years

Huiwen, 李汇文 Li; Shijie, 王世杰 Wang; Xiaoyong, 白晓永 Bai; Hong, 唐红 Tang; Yue, 操玥 Cao; Mingming, 王明明 Wang; Luhua, 吴路华 Wu

doi:10.5846/stxb201805231129

Cited by 4 publications

(2 citation statements)

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“…Previous studies have extensively verified the applicability of GLDAS ET a data in China. The monthly GLDAS ET a had high stability and reliability in southwestern China [35]. In the Yellow River Basin, although there is little difference between GLDAS ETa and watershed ET a based on water balance, the overall uncertainty is high [36].…”

Section: Discussionmentioning

confidence: 97%

Evapotranspiration Variations of the Minjiang River Basin in Southeastern China from 2000 to 2019

Wang

Liu

et al. 2022

Atmosphere

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Evapotranspiration is one of the critical processes in the terrestrial hydrological cycle, and the assessment of evapotranspiration is essential for understanding the regional hydrological cycle. In this study, the Minjiang River Basin, a typical watershed in the humid subtropical climate zone, is selected as the study region. The Penman-Monteith equation and the dual crop coefficient method are used to calculate the actual evapotranspiration (ETa) at seven meteorological stations within the study basin. Meanwhile, the applicability of the Global Land Data Assimilation System-Noah (GLDAS-Noah) ETa data in the Minjiang River Basin is evaluated based on stations P-M equation results, then to analyze the changes of the ETa in the Minjiang River Basin from 2000 to 2019. The results show that the GLDAS-Noah ETa data are well applicable in the Minjiang River Basin (R2 > 0.9 and NSE > 0.8). The ETa in the basin shows an increasing trend since 2000, and the increasing rate is 3.60 mm·yr−1 (p < 0.01). The seasonal variation results show that ETa tends to increase in winter and spring, with increasing rates of 1.10 mm·yr−1 (p < 0.01) and 2.60 mm·yr−1 (p < 0.01), respectively, while the ETa did not change significantly in summer and autumn. Annual air temperature has the largest effect on annual ETa (59.6%), followed by precipitation at 33.9%. ETa increased in spring was mainly influenced by increasing temperatures (89.4%) in the Minjiang River Basin from 2000 to 2019. The research results are of great benefit to further improve the understanding of ETa variations in the basin under global warming.

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Section: Discussionmentioning

confidence: 97%

Evapotranspiration Variations of the Minjiang River Basin in Southeastern China from 2000 to 2019

Wang

Liu

et al. 2022

Atmosphere

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“…Moreover, the majority of research in this area focuses on potential ET [22,23], and only a few studies focus on actual ET in this region. According to the limited research on actual ET, it has been found that in Southwest China, the overall ET generally increases as the latitude decreases, with the cloud cover percentage acting as the most important factor [24]. In particular, karst landforms are widely distributed throughout Southwest China, and their proportion has a significant influence on ET in the basin, making them the most influencing factor affecting the elasticity of actual ET in that region [7].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variations in Evapotranspiration and Their Driving Factors in Southwest China between 2003 and 2020

Zhang,

Zhou,

Yang

et al. 2023

Remote Sensing

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The widespread distribution of karst landforms has led to a shortage of water resources in Southwest China. Understanding the spatiotemporal variations in and driving factors of evapotranspiration (ET) in this area is crucial for understanding and predicting severe water resource shortage. This study conducted trend analysis using meteorological data from 2003 to 2020 as well as remote sensing products such as Penman–Monteith–Leuning equation version 2 (PML-V2) ET. The factors influencing the spatial distribution pattern of average ET were identified using a geographical detector. Partial correlation analysis was performed to characterize the relationships between ET and the factors governing its variations, determined using the random forest model. The results demonstrated the following: (1) The average ET decreased with increasing latitude and altitude, primarily affected by the landform type in terms of longitude and displaying “W”-shaped fluctuations. Overall, the annual ET exhibited a significant (p < 0.05) increasing trend, with 72.63% of its area under the increasing trend. (2) The results of the geographic detector indicated sunshine duration as the strongest explanatory factor of the spatial distribution of ET, followed by enhanced vegetation index (EVI), landform type, precipitation, elevation, slope, and aspect. Instead of an individual factor, the interplay between multiple factors more considerably influenced the spatial distribution pattern of ET. (3) The EVI exhibited an overall increasing trend, with a significant increase over 73.59% of the study area and a positive correlation with ET. Thus, the increase in EVI had the strongest impact on ET in the study area, which was further confirmed by the results of the random forest model for 42.92% of the study area. Thus, the present findings clarify the spatiotemporal variations in and driving factors of ET in Southwest China and can serve as a benchmark for policies aiming to develop and manage water resources in this region.

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Analysis of Evapotranspiration Spatiotemporal Characteristics in Yunnan Province Based on Multi-Evapotranspiration Model

李

2024

AEP

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Inversion and spatiotemporal evolution of actual evapotranspiration in southwest China for the past 50 years

Cited by 4 publications

References 0 publications

Evapotranspiration Variations of the Minjiang River Basin in Southeastern China from 2000 to 2019

Evapotranspiration Variations of the Minjiang River Basin in Southeastern China from 2000 to 2019

Spatiotemporal Variations in Evapotranspiration and Their Driving Factors in Southwest China between 2003 and 2020

Analysis of Evapotranspiration Spatiotemporal Characteristics in Yunnan Province Based on Multi-Evapotranspiration Model

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