Spatiotemporal Variation of Evapotranspiration on Different Land Use/Cover in the Inner Mongolia Reach of the Yellow River Basin

Zhang, Xiaojing; Wang, Guo Qiang; Xue, Baolin; Wang, Yuntao; Wang, Libo

doi:10.3390/rs14184499

Cited by 18 publications

(9 citation statements)

References 56 publications

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“…Although human activities play a dominant role, climate change also contributes to the increase in drought intensity in the Hunhe basin. The increase in vegetation coverage may be the main driving factor affecting the long‐term water consumption trend in the Hunhe basin, which is closely related to afforestation activities (Jiang et al, 2023; Yao et al, 2023). The increase in vegetation coverage intercepts and evaporates rainwater, and vegetation can also block runoff and change the soil infiltration rate, thus affecting vegetation transpiration and soil evaporation (Zhang et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Attribution of runoff and hydrological drought changes in an ecologically vulnerable basin in semi‐arid regions of China

Li,

Wang,

Xue

et al. 2023

Hydrological Processes

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Climate change and human activities have been widely recognized as two major factors that deeply influence hydrological processes. Evaluating and identifying the contribution between different drivers contributes to better regional water management regulation. In this study, we used the variable infiltration capacity (VIC) model to quantify the contributions of different climatic variables and human activities to runoff in the Hunhe basin, which has a semiarid climate, in northern China. Through trend analysis, the study period is divided into the ‘baseline period’ (1982–1999) and the ‘change period’ (2000–2020). The results indicated that compared with climate change, human activities were the major factors decreasing runoff, contributing more than 86.3% to the runoff reduction in the change period. Climate change increased winter runoff but decreased summer and autumn runoff, resulting in an overall decrease in runoff. There is a trend of increasing severity of hydrological drought in the Hunhe basin, where climate change accounted for 28.2% of the total impact and human activities accounted for 72.8%. The change in runoff and hydrological drought was mainly due to human activities, including changing farmland to grassland and forest. These results would be helpful for policy‐makers and researchers to better understand the responses of runoff and hydrological drought to these changing environmental conditions and offering references for future water resource planning and management at the basin scale.

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Section: Discussionmentioning

confidence: 99%

Attribution of runoff and hydrological drought changes in an ecologically vulnerable basin in semi‐arid regions of China

Li,

Wang,

Xue

et al. 2023

Hydrological Processes

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“…Th In recent years, due to global climate change and rapid regional economic development, the ecosystem of the IMSYRB has been continuously degraded, and the hydrological function has continued to decline. At the same time, artificial ecological restoration has led to the continuous growth of vegetation indices, and the ecological environment and water resources of the basin are facing severe situations; these conditions have formed a bottleneck, restricting regional ecological protection and high-quality development [24]. However, there are only 23 meteorological stations and one flux station in this area, because of the geographical location of the study area, alongside other reasons.…”

Section: Basin Basic Datamentioning

confidence: 99%

A Hybrid Framework for Simulating Actual Evapotranspiration in Data-Deficient Areas: A Case Study of the Inner Mongolia Section of the Yellow River Basin

Jiang

Wang

et al. 2023

Remote Sensing

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Evapotranspiration (ET) plays an import role in transferring water and converting energy in the land‒atmosphere system. Accurately estimating ET is crucial for understanding global climate change, ecological environmental problems, the water cycle, and hydrological processes. Machine learning (ML) algorithms have been considered as a promising method for estimating ET in recent years. However, due to the limitations associated with the spatial–temporal resolution of the flux tower data commonly used as the target set in ML algorithms, the ability of ML to discover the inherent laws within the data is reduced. In this study, a hybrid framework was established to simulate ET in data-deficient areas. ET simulation results of a coupled model comprising the Budyko function and complementary principle (BC2021) were used as the target set of the random forest model, instead of using the flux station observation data. By combining meteorological and hydrological data, the monthly ET of the Inner Mongolia section of the Yellow River Basin (IMSYRB) was simulated from 1982 to 2020, and good results were obtained (R2 = 0.94, MAE = 3.82 mm/mon, RMSE = 5.07 mm/mon). Furthermore, the temporal and spatial variations in ET and the influencing factors were analysed. In the past 40 years, annual ET in the IMSYRB ranged between 241.38 mm and 326.37 mm, showing a fluctuating growth trend (slope = 0.80 mm/yr), and the summer ET accounted for the highest proportion in the year. Spatially, ET in the IMSYRB showed a regular distribution of high ET in the eastern region and low ET in the western area. The high ET value areas gradually expanded from east to west over time, and the area increased continuously, with the largest increase observed in the 1980s. Temperature, precipitation, and normalized difference vegetation index (NDVI) were found to be the most important factors affecting ET in the region and play a positive role in promoting ET changes. These results provide an excellent example of long-term and large-scale accurate ET simulations in an area with sparse flux stations.

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“…ET also plays a critical role in plant growth, water resource utilization, ecological protection, and global climate change (Fisher et al 2017). ET changes may affect the structure and function of ecosystems (Yu et al 2022a), threatening water resource security and ecological environment stability in many countries and regions, and thus affecting human life and economic development (Cheng et al 2020, Condon et al 2020. Improving the accuracy and reliability of ET estimates will be beneficial for addressing climate change and water resources challenges (Fu et al 2022), including droughts, flooding, irrigations, and ecosystem water use efficiency (Sheffield et al 2012, Sun et al 2017a, Jalilvand et al 2019.…”

Section: Introductionmentioning

confidence: 99%

Evapotranspiration increment was underestimated in China due to underrepresented land cover changes

Wu,

Han,

2024

Environ. Res. Lett.

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Numerous evapotranspiration (ET) products have been produced using various approaches and diverse forcing data even as the magnitude and trends of ET show divergence. We simulated ET using updated land use and cover change (LUCC) data in China from 1900 to 2020. We found that China’s ET increased slightly from 1900 to 1980, but it increased rapidly after 1980 due to LUCC characterized by forest expansion (2.05 mm yr-1, P < 0.01). We also found that the ET trends derived from our simulation were significantly higher than other ET products (-0.70–1.47 mm yr-1, P < 0.01), implying that existing, long-term ET products might have underestimated ET trends in China during the post-1980 period because of underrepresented LUCC. These underestimated ET trends could introduce biases in the regional water budget and water resources management. We advocate for future studies to take into account the impacts of LUCC in global ET simulations.

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Spatiotemporal Variation of Evapotranspiration on Different Land Use/Cover in the Inner Mongolia Reach of the Yellow River Basin

Cited by 18 publications

References 56 publications

Attribution of runoff and hydrological drought changes in an ecologically vulnerable basin in semi‐arid regions of China

Attribution of runoff and hydrological drought changes in an ecologically vulnerable basin in semi‐arid regions of China

A Hybrid Framework for Simulating Actual Evapotranspiration in Data-Deficient Areas: A Case Study of the Inner Mongolia Section of the Yellow River Basin

Evapotranspiration increment was underestimated in China due to underrepresented land cover changes

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