Changing characteristics and attribution analysis of potential evapotranspiration in the Huang–Huai–Hai River Basin, China

Guan, Xiaoxiang; Zhang, Jianyun; Yang, Qinli; Wang, Guoqing

doi:10.1007/s00703-020-00741-6

Cited by 17 publications

(11 citation statements)

References 25 publications

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“…The validity of this model was proved by many studies, and had a wide application around the world. The model formula, parameters and required data are the same as employed in Guan et al [45].…”

Section: Potential Evapotranspiration Modelmentioning

confidence: 99%

Evaluation of Precipitation Products by Using Multiple Hydrological Models over the Upper Yellow River Basin, China

et al. 2020

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In this study, 6 widely used precipitation products APHRODITE, CPC_UNI_PRCP, CN05.1, PERSIANN-CDR, Princeton Global Forcing (PGF), and TRMM 3B42 V7 (TMPA), were evaluated against gauge observations (CMA data) from 1998 to 2014, and applied to streamflow simulation over the Upper Yellow River basin (UYRB), using 4 hydrological models (DWBM, RCCC-WBM, GR4J, and VIC). The relative membership degree (u), as the comprehensive evaluation index in the hydrological evaluation, was calculated by the optimum fuzzy model. The results showed that the spatial pattern of precipitation from the CMA dataset and the other 6 precipitation products were very consistent with each other. The satellite-derived rainfall products (SDFE), like PSERSIANN-CDR and TMPA, depicted considerably finer and more detailed spatial heterogeneity. The SDFE and reanalysis (RA) products could estimate the monthly precipitation very well at both gauge and basin-average scales. The runoff simulation results indicated that the APHRODITE and TMPA were superior to the other 4 precipitation datasets, obtaining much higher scores, with average u values of 0.88 and 0.77. The precipitation estimation products tended to show better performance in streamflow simulation at the downstream hydrometric stations. In terms of performance of hydrological models, the RCCC–WBM model showed the best potential for monthly streamflow simulation, followed by the DWBM. It indicated that the monthly models were more flexible than daily conceptual or distributed models in hydrological evaluation of SDFE or RA products, and that the difference in precipitation estimates from various precipitation datasets were more influential in the GR4J and VIC models.

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Section: Potential Evapotranspiration Modelmentioning

confidence: 99%

Evaluation of Precipitation Products by Using Multiple Hydrological Models over the Upper Yellow River Basin, China

et al. 2020

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“…In addition, studies indicated that ET0 variations feature high spatial heterogeneity, especially in China's complex geographical and climatic conditions. For example, during the last decade, significant increasing trends in annual ET0 have occurred in the hilly regions of Southern China 6 , the upper Yangtze River basin 7 , the Pearl River Delta 8 , the non-monsoon region of China 9 , the Huang-Huai-Hai River Basin 10 and the Indo-China Peninsula 11 . In other regions, such as in Heilongjiang Province 12 and the central arid zone of Ningxia Province 13 , annual ET0 variations have experienced significant decreasing trends.…”

Section: Introductionmentioning

confidence: 99%

Variations and Sensitivity Analysis of Reference Evapotranspiration During 2010-2019 in the Zhangye Farmland Oasis, Northwest China

Fang¹

2021

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Reference evapotranspiration (ET0) is an important parameter for agricultural water management in the arid Zhangye farmland oasis. However, the ET0 variations in this oasis over the last decade and meteorological forcings of these variations are unknown. This study investigated the ET0 variations during 2010-2019 in this oasis using the FAO-56 Penman-Monteith (PM) and Hargreaves equations. Results showed that the ET0 features daily and monthly variations with peak values in mid-July and an annual cycle. Although the estimated ET0 series based on the two equations have high correlations in the time domain, the Hargreaves equation always underestimates the ET0 compared to the PM equation. The yearly ET0 showed statistically significant increasing trends (90% significance level) during 2010-2019, while statistically significant increasing trends in monthly ET0 are found only in March and November. Increasing trends reflected in monthly and yearly ET0 are mainly attributed to the increasing maximum temperature and sunshine duration and decreasing relative humidity. Sensitivity analysis demonstrated that the meteorological factor to which the ET0 is most sensitive varies with time scale and equation. Moreover, regression equations used to correct the underestimation associated with the Hargreaves equation for estimating ET0 in the Zhangye farmland oasis also were constructed.

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“…However, due to human activities, the world changes daily due to the intense acceleration of global warming, which has a direct effect on the water cycle, one of the most vulnerable aspects of an ecosystem [3]. The hydrological cycle has been affected at different times throughout history, but with the current deterioration of resources, many rivers have been on a downward trend, making the existence of water more and more difficult [1].…”

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confidence: 99%

“…17 exp(−0.0002 ℎ)2.3 Turc ModelIn the Turc model, a mass balance is established, resulting in the following expression:When the P/L ratio > 0.316, equation 6 is used where L is represented by the following equation:= 300 + 25 + 0.053 If P/L < 0.316, then ETR=P. However, these are not the only variables.…”

mentioning

confidence: 99%

“…However, these are not the only variables. Thorwaite's potential evapotranspiration equation is: = 16 * (10 * ) a : parameter that is calculated from I according to the expression: a = 0,000000675× I 3 -0,0000771× I 2 + 0,01792× I + 0,49239And finally we have to: Model = 1017.17 exp(−0.0002 ℎ)2.3 Turc ModelIn the Turc model, a mass balance is established, resulting in the following expression:= √ 0.9 + 2When the P/L ratio > 0.316, equation 6 is used where L is represented by the following equation:= 300 + 25 + 0.053 If P/L < 0.316, then ETR=P. + 0.14 However, these are not the only variables.…”

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confidence: 99%

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Determination of potential and actual evapotranspiration in watershed, using mathematical models

2021

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In this research, it is analyzed the calculation of real evapotranspiration in hydrographic basins, it is taken as a reference the Aguablanca Creek, located in the municipality of Bochalema, North of Santander-Colombia, where it is evaluated the hydrologic balance of this basin from the determination of detailed calculations of four mathematical models, to later evaluate the hydrologic balance of this basin, with the purpose of being able to make a better administration of these resources, as well as the use of the soil, betting on the development of an ecologically sustainable society with low environmental impact. The values of potential and real evapotranspiration, according to the most optimal model ETP Thorwaite 874 mm/year ETR 43712 mm/year, Cenicafe 712.81 mm/year ETR 612.1 mm/year Turc ETR 884.83 mm/year quota ETR 825 mm/year.

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Changing characteristics and attribution analysis of potential evapotranspiration in the Huang–Huai–Hai River Basin, China

Cited by 17 publications

References 25 publications

Evaluation of Precipitation Products by Using Multiple Hydrological Models over the Upper Yellow River Basin, China

Evaluation of Precipitation Products by Using Multiple Hydrological Models over the Upper Yellow River Basin, China

Variations and Sensitivity Analysis of Reference Evapotranspiration During 2010-2019 in the Zhangye Farmland Oasis, Northwest China

Determination of potential and actual evapotranspiration in watershed, using mathematical models

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