Spatial-Temporal Change of Actual Evapotranspiration and the Causes Based on the Advection–Aridity Model in the Weihe River Basin, China

Xu, Rong; Gao, Peng; Mu, Xingmin; Gu, Changzhi

doi:10.3390/w13030303

Cited by 8 publications

(3 citation statements)

References 62 publications

(80 reference statements)

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“…Moreover, the impact of increasing rice planting area on ET may depend on the irrigation practices used (Y. Liu et al, 2022 ;Xu et al, 2021 ). Rice area expansion increases irrigation water and causes a decrease in surface temperature (G. Du et al, 2019 ;Zhao et al, 2016 ).…”

Section: Rice Expansion and Etmentioning

confidence: 99%

Spatiotemporal variation in rice evapotranspiration under the influence of rice expansion: a case study in the Sanjiang Plain, Northeast China

Xie,

李,

et al. 2023

Preprint

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The study of changes in rice evapotranspiration (ET) is important for agricultural water management. In this study, the Surface Energy Balance Algorithms for Land (SEBAL) and MODIS products were used to estimate long-term rice ET from 2003 to 2018 in the Sanjiang Plain, Northeast China, and the spatial and temporal variations in rice ET and related influencing factors were analyzed. The results showed that the SEBAL model accurately estimated the daily ET on the Sanjiang Plain. Rice ET in the Sanjiang Plain increased at a rate of 5.05 mm·year . The spatial distribution of rice ET varied significantly under different typical years. Temperature was the main factor affecting rice ET on the Sanjiang Plain, with a correlation coefficient of 0.67. The increase in rice ET per ha was positively correlated with rice area expansion, with a correlation coefficient of 0.79. The growth rate of rice ET slowed after 2011, which was related to the cooling effect of irrigation due to rice area expansion.

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Section: Rice Expansion and Etmentioning

confidence: 99%

Spatiotemporal variation in rice evapotranspiration under the influence of rice expansion: a case study in the Sanjiang Plain, Northeast China

Xie,

李,

et al. 2023

Preprint

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“…A wide range of studies have investigated the spatiotemporal pattern of ET a at regional scales (Gao et al 2007;Liu et al 2019;Xu et al 2021;Yang et al 2021). However, there are relatively few studies on ET a changes and evaluation of the developed CR methods in three parallel river basins.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Actual Evapotranspiration and Evaluation of Three Complementary Relationships in Three Parallel River Basins

Jiang

Liu

2022

Water Resour Manage

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Based on observed precipitation and runoff data, monthly actual evapotranspiration (ET a ) was calculated by the hydrological budget balance method in the three parallel river basins. The performance of three developed complementary relationship methods, the nonlinear advection-aridity (non-AA) method, generalized complementary relationship method (B2015), and sigmoid generalized complementary function (H2018), on simulating ET a were evaluated. The evaluation results showed that three methods were able to accurately simulate monthly ET a series. The Nash-Sutcliffe e ciency coe cient between the monthly ET a simulated by the non-AA, B2015, and H2018 methods and the water-balance-derived ET a were 0.74, 0.78, and 0.79, respectively. The correlation coe cient were 0.84, 0.89, and 0.90, respectively. And the root mean square errors were 10.76 mm mon − 1 , 10.01 mm mon − 1 , and 9.78 mm mon − 1 , respectively. The ET a increased spatially from upstream region to downstream region at catchment scale. Annual ET a simulated by the non-AA, B2015 and H2018 models showed signi cant increasing trends during 1956-2018 in the basins, with the increasing magnitudes of 1.53 mm/a, 1.66 mm/a and 1.47 mm/a, respectively. Research on the in uence between meteorological factors and ET a showed that there was a positive correlation between ET a and precipitation, temperature, wind and sunshine hours, with the average correlation coe cient of 0.40 0.64 0.63 and 0.72, respectively. The value between ET a and relative humidity was − 0.38. The ET a in the basins was highly sensitive to temperature, wind speed and sunshine hours, with the average sensitivity coe cient of 0.26, 0.21 and 0.27, respectively. And moderately sensitive to relative humidity, with a sensitivity of -0.18.

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“…A wide range of studies have investigated the spatiotemporal pattern of ET a at regional scales (Gao et al 2007;Liu et al 2019;Xu et al 2021;Yang et al 2021). ET a complementary methods have been greatly developed in recent years.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Actual Evapotranspiration and Evaluation of Three Complementary Relationships in the Upper Regions of the Mekong River and the Salween River

Jiang

Wang

et al. 2021

Preprint

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Based on observed precipitation and runoff data, monthly actual evapotranspiration (ETa) was calculated by the hydrological budget balance method in the Nu River Basin (NRB) and Lancang River Basin (LCRB). The performance of three developed complementary relationship methods, the nonlinear advection-aridity (nonlinear AA) method, generalized complementary relationship method (B2015), and sigmoid generalized complementary function (H2018), on simulating (ETa) were evaluated. The evaluation results showed that three methods were able to accurately simulate monthly (ETa) series. The NSE between the monthly (ETa) simulated by the nonlinear AA, B2015, and H2018 methods and the water-balance-derived (ETa) were 0.89, 0.83, and 0.91, respectively. The R-square were 0.90, 0.84, and 0.93, respectively. Overall, the H2018 method showed the best performance. The parameter α had a negative correlation with regional aridity index. Annual (ETa) and precipitation showed significant increasing trends during 1956–2018 in the basins at all temporal scales (dry and wet seasons and annual series). Runoff also exhibited an increasing trend in each sub-basin, except for the downstream region of the LCRB. The increasing magnitudes of wet reason precipitation and runoff in the mid-stream region was the highest, with the value of 73.7 mm/10a and 44.9 mm/10a, respectively. The (ETa) increased dramatically in the downstream region, the magnitude reached 25.9 mm/10a. Precipitation was the main factor leasing to (ETa) change. The increasing magnitude of (ETa) accounted for 42.4% of the precipitation increment. Research on the influence mechanism between meteorological factors and (ETa) showed that the contribution rate of air temperature to (ETa) was the highest, reaching 23.5%, which showed a significant positive correlation. The second was wind speed, whose contribution rate was − 10.2% on average, and even reached − 14.1% in the upstream region of the NRB. The correlation coefficient between (ETa) and wind speed was highest in mid-stream region of the NRB, which was greater than 0.80. The contribution rates of increasing humidity to (ETa) were − 12.5% and − 9.2% in the NRB and LCRB, respectively. (ETa) was negatively correlated with humidity. The negative correlation was especially strong in the mid-stream region, with coefficients were greater than − 0.65. The sunshine hours had the least effect on (ETa), and the contribution rates were − 6.5% and − 4.1%, respectively.

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Spatial-Temporal Change of Actual Evapotranspiration and the Causes Based on the Advection–Aridity Model in the Weihe River Basin, China

Cited by 8 publications

References 62 publications

Spatiotemporal variation in rice evapotranspiration under the influence of rice expansion: a case study in the Sanjiang Plain, Northeast China

Spatiotemporal variation in rice evapotranspiration under the influence of rice expansion: a case study in the Sanjiang Plain, Northeast China

Simulation of Actual Evapotranspiration and Evaluation of Three Complementary Relationships in Three Parallel River Basins

Simulation of Actual Evapotranspiration and Evaluation of Three Complementary Relationships in the Upper Regions of the Mekong River and the Salween River

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