Spatiotemporal Distribution Characteristics and Influencing Factors Analysis of Reference Evapotranspiration in Beijing–Tianjin–Hebei Region from 1990 to 2019 under Climate Change

Liu, Zihan; Dong, Jing; Han, Yu; Yu, Jingxin; Lu, Tiangang; Zhangzhong, Lili

doi:10.3390/su14106277

Cited by 8 publications

(2 citation statements)

References 34 publications

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“…In the context of global warming, the degree of drought in arid zones continues to increase, and ecosystems are in danger of severe degradation [5]. Estimating ET values in arid zones and fully analyzing the spatiotemporal distribution and driver factors of ET changes in river basins are therefore important for understanding the water cycle of the region, improving resource utilization, and ensuring the ecological health of the basin [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variation of Evapotranspiration and Its Driving Factors in the Urumqi River Basin

Ablikim,

Yang,

Mamattursun

2023

Sustainability

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Evapotranspiration (ET) is a key indicator of arid and semi-arid ecosystem processes and hydrological cycles. The study of basin-scale ET characteristics and drivers can provide a better understanding of regional water balance and energy cycles. This study used the Pixel Information Expert Engine platform based on MODIS (MOD16A2) data to extract the separate spatial and temporal characteristics of interannual and seasonal ET in the Urumqi River Basin in Xinjiang, China, over a 20-year period, from 2000 to 2020, and to analyze the influence of land-use data and altitude on ET in the basin. The average interannual ET in the watershed has had an increasing trend over the past two decades, varying from 126.57 mm to 247.66 mm, with the maximum ET in July and the minimum in December. On the seasonal scale, the ET trend is greatest in summer, followed by spring, and it is the least in winter. Spatially, the surface ET in the Urumqi River Basin is generally high in the upstream area and low in the downstream area, with the average multi-year ET throughout the basin falling within the range of 22.74–479.33 mm. The average ET for each type of land use showed that forest land had the highest ET and unused land the lowest. Analysis found that the effect of altitude on ET was more pronounced, with a significant increase in ET as altitude increases. Analysis of the drivers of ET change from 2000 to 2020 using the Optimal Parameters-based Geographical Detector model (OPGD) showed that the natural factors that had the greatest influence were, in descending order, temperature > vegetation cover > precipitation. Among the interacting factors, vegetation index with temperature, elevation, and precipitation and land use with elevation had a relatively greater influence on ET in the basin, and the effects of interacting factors were all greater than those of single factors.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variation of Evapotranspiration and Its Driving Factors in the Urumqi River Basin

Ablikim,

Yang,

Mamattursun

2023

Sustainability

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“…The climate tendency rate can reflect the variation trend of climate elements over a period of time. A one-way linear regression method [30] was adopted to analyze the temporal variation in the annual average ET in the study area, calculated as…”

Section: Climate Tendency Ratementioning

confidence: 99%

Spatiotemporal Variation Characteristics of Reference Evapotranspiration and Relative Moisture Index in Heilongjiang Investigated through Remote Sensing Tools

et al. 2023

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Reference evapotranspiration (ET0) is one of the significant parameters in agricultural irrigation, especially in Heilongjiang, a big agricultural province in China. In this research, the spatiotemporal variation characteristics of evapotranspiration (ET), relative moisture index (MI) and influencing factors of ET0 in Heilongjiang, which was divided into six ecology districts according to landforms, were analyzed with meteorological data observed over 40 years from 1980 and MOD16 products from 2000 to 2017 using Morlet wavelet analysis and partial correlation analysis. The results indicated that (1) the spatial distribution of ET and PET in Heilongjiang in humid, normal and arid years showed a distribution of being higher in the southwest and lower in the northwest, and higher in the south and lower in the north. The PET was higher than ET from 2002 to 2017, and the difference was small, indicating that the overall moisture in Heilongjiang was sufficient in these years. (2) In the last 40 years, the ET0 increased while the annual MI decreased. The annual minimum of MI in the six regions of Heilongjiang was −0.25, showing that all six regions were drought free. (3) The importance of the meteorological factors affecting ET0 was ranked as average relative humidity > average wind speed > sunshine duration. This research provides scientific guidance for the study of using remote sensing to reverse ET.

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Assessment of spatiotemporal variability of rainfall and surface wind speed over the eastern coastal agro-ecological zones of India using advanced trend detection approaches

Paramaguru¹,

Panda

Suna

et al. 2023

Theor Appl Climatol

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Spatiotemporal Distribution Characteristics and Influencing Factors Analysis of Reference Evapotranspiration in Beijing–Tianjin–Hebei Region from 1990 to 2019 under Climate Change

Cited by 8 publications

References 34 publications

Spatiotemporal Variation of Evapotranspiration and Its Driving Factors in the Urumqi River Basin

Spatiotemporal Variation of Evapotranspiration and Its Driving Factors in the Urumqi River Basin

Spatiotemporal Variation Characteristics of Reference Evapotranspiration and Relative Moisture Index in Heilongjiang Investigated through Remote Sensing Tools

Assessment of spatiotemporal variability of rainfall and surface wind speed over the eastern coastal agro-ecological zones of India using advanced trend detection approaches

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