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

Ablikim, Kamila; Yang, Han; Mamattursun, Azimatjan

doi:10.3390/su151813904

Cited by 4 publications

(4 citation statements)

References 62 publications

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“…The results showed that evapotranspiration varies proportionally with the impact of altitude on Kahramanmaras. The results support the findings of Lin et al [80] regarding ET correlation with topography in the Xiliao River Plain, while the outcomes are different from those reported by Ablikim et al [81], in which ET values rise with the increment in altitude in the Urumqi River Basin. For instance, the reason for the high ET values in S2, which has the lowest altitude of 525 m, is thought to be the adverse effect of altitude on ET.…”

Section: Discussionsupporting

confidence: 83%

Novel Approaches for the Empirical Assessment of Evapotranspiration over the Mediterranean Region

Uzunlar,

Dis

2024

Water

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The hydrological cycle should be scrutinized and investigated under recent climate change scenarios to ensure global water management and to increase its utilization. Although the FAO proposed the use of the Penman–Monteith (PM) equation worldwide to predict evapotranspiration (ET), which is one of the most crucial components of the hydrological cycle, its complexity and time-consuming nature, have led researchers to examine alternative methods. In this study, the performances of numerous temperature-driven ET methods were examined relative to the PM using daily climatic parameters from central stations in 11 districts of the Kahramanmaras province. Owing to its geographical location and other influencing factors, the city has a degraded Mediterranean climate with varying elevation gradients, while its meteorological patterns (i.e., temperature and precipitation) deviate from those of the main Mediterranean climate. A separate evaluation was performed via ten different statistical metrics, and spatiotemporal ET variability was reported for the districts. This study revealed that factors such as altitude, terrain features, slope, aspect geography, solar radiation, and climatic conditions significantly impact capturing reference values, in addition to temperature. Moreover, an assessment was conducted in the region to evaluate the effect of modified ET formulae on simulations. It can be drawn as a general conclusion that the Hargreaves–Samani and modified Blaney–Criddle techniques can be utilized as alternatives to PM in estimating ET, while the Schendel method exhibited the lowest performance throughout Kahramanmaras.

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Section: Discussionsupporting

confidence: 83%

Novel Approaches for the Empirical Assessment of Evapotranspiration over the Mediterranean Region

Uzunlar,

Dis

2024

Water

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“…The obtained models show that in the functions where precipitation data is employed, the constants of the precipitation variable have a less effective coefficient than the other variables in the formulae. Ablikim et al [52] showed in their study the natural factors that had the greatest and least influences on forecasting evaporation belong to temperature and precipitation, respectively, which supports the aforementioned results. The climatic parameter-driven simulation is represented with the box and whisker plots.…”

Section: Discussionsupporting

confidence: 64%

“…Unfortunately, EP measurements are not available in half of the one-year period in Turkey and these values vary spatiotemporally. Alternative approaches have been investigated since EP measurements are expensive, complex, and time-consuming, [50][51][52]. Within the scope of this study, artificial intelligence techniques were used, which require less data and can be calculated relatively easily, and the use of which has increased with the convenience of developing technology.…”

Section: Discussionmentioning

confidence: 99%

“…As a matter of fact, Li et al [51] emphasized the importance of elevation and sunshine duration factors in addition to temperature for producing evaporation pan values. In addition to these parameters, there are also studies showing that land use is another important factor for affecting evaporation phenomena [19,52]. After obtaining coherent results from the scatter plot evaluation, EP simulations were carried out with an artificial intelligence model using these completed time series as reference.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

A New Approach for Completing Missing Data Series in Pan Evaporation Using Multi-Meteorologic Phenomena

Dis

2023

Sustainability

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The most crucial losses in the hydrological cycle occur due to evaporation (EP). As a result, the accurate attainment of this complex phenomenon is critical in studies on irrigation, efficiency in the basins, dams, continuous hydrometeorological simulations, flood frequency, and water budget analysis. However, EP data sets are expensive, difficult to sustainably measure, and scarce, also, predictions are challenging tasks due to the wide range of parameters involved in these processes. In this study, the data gaps are filled with Class A evaporation pan observations through building a new meteorological station during seasons with no gauge measurements available for a three-year time period. These observations demonstrate high correlations with the readings from the Meteorology Airport Station, with a PCC of 0.75. After the continuous EP time series was completed over Kahramanmaras, these values were retrieved non-linearly via an artificial intelligence model using multi-meteorological parameters. In the study, the simulation performance is evaluated with the help of eight different statistical metrics in addition to graphical representations. The evaluation reveals that, when compared to the other EP functions, using both temperature and wind-driven simulations has the highest correlation (PCC = 0.94) and NSCE (0.87), as well as the lowest bias (PBias = −1.65%, MAE = 1.27 mm d−1, RMSD = 1.6 mm d−1, CRMSE = 24%) relative to the gauge measurements, while they give the opposite results in the solely precipitation-based models (PCC = 0.42, NSCE = 0.17, PBias = −6.44%, MAE = 3.58 mm d−1, RMSD = 4.2 mm d−1, CRMSE = 62%). It has been clearly seen that the temperature parameter is the most essential factor, while precipitation alone may be insufficient in EP predictions; additionally, wind speed and relative humidity would improve the prediction performance in artificial intelligence techniques.

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Spatiotemporal variation of vegetation carbon stocks and its driving factors in the Urumqi River Basin

Ablikim,

Yang

2024

Ecological Indicators

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

Cited by 4 publications

References 62 publications

Novel Approaches for the Empirical Assessment of Evapotranspiration over the Mediterranean Region

Novel Approaches for the Empirical Assessment of Evapotranspiration over the Mediterranean Region

A New Approach for Completing Missing Data Series in Pan Evaporation Using Multi-Meteorologic Phenomena

Spatiotemporal variation of vegetation carbon stocks and its driving factors in the Urumqi River Basin

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