Change in Land Use and Evapotranspiration in the Manas River Basin, China with Long-term Water-saving Measures

Yang, Guang; Xue, Lianqing; He, Xinlin; Wang, Cui; Long, Aihua

doi:10.1038/s41598-017-18030-5

Cited by 58 publications

(13 citation statements)

References 28 publications

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“…The MRB is a small watershed located on the northern slope of the Tianshan Mountains. In the past 40 years, owing to vigorous developments in water-saving irrigation, the artificial oasis area in the MRB has expanded by 129.56% [8], and the social and economic effects relating to these oases have actively promoted development in this area [9]. The demand for water resources in the MRB has thus simultaneously increased [41].…”

Section: Discussionmentioning

confidence: 99%

“…The MRB is located in the arid area with a unique mountain-oasis-desert ecosystem. As the largest oasis farming area in Xinjiang and the fourth largest irrigated agricultural area in China, its ecological problems have always been the focus of scientists [4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…For example, the physical similarity regionalization method [10,12] is a common method in the areas that are lacking in data. This method cannot meet the needs of more refined hydrological models to enable the development and associated management of this river basin [8,9]. Therefore, a more reasonable hydrological process simulation is required to provide scientific and theoretical support for policymakers.…”

Section: Introductionmentioning

confidence: 99%

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Hydrological process simulation in Manas River Basin using CMADS

Yang

et al. 2020

Open Geosciences

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The inability to conduct hydrological simulations in areas that lack historical meteorological data is an important factor limiting the development of watershed models, understanding of watershed water resources, and ultimate development of effective sustainability policies. This study focuses on the Manas River Basin (MRB), which is a high-altitude area with no meteorological stations and is located on the northern slope of the Tianshan Mountains, northern China. The hydrological processes were simulated using the China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS) using the Soil and Water Assessment Tool (SWAT) model. Simulated runoff was corrected using calibration/uncertainty and sensitivity program for the SWAT. Through parameter sensitivity analysis, parameter calibration, and verification, the Nash–Sutcliffe efficiency (NSE), adjusted R-square ({R}_{\text{adj}}^{2}), and percentage bias (\text{PBIAS}) were selected for evaluation. The results were compared with statistics obtained from Kenswat Hydrological Station, where the monthly runoff simulation efficiency was \text{NSE}\hspace{.25em}=0.64, {R}_{\text{adj}}^{2}\hspace{.25em}=0.69, and \text{PBIAS}\hspace{.25em}=\mbox{--}0.9, and the daily runoff simulation efficiency was \text{NSE}\hspace{.25em}=0.75, {R}_{\text{adj}}^{2} = 0.75, \text{PBIAS} = −1.5. These results indicate that by employing CMADS data, hydrological processes within the MRB can be adequately simulated. This finding is significant, as CMADS provide continuous temporal, detailed, and high-spatial-resolution meteorological data that can be used to build a hydrological model with adequate accuracy in areas that lack historical meteorological data.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Hydrological process simulation in Manas River Basin using CMADS

Yang

et al. 2020

Open Geosciences

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“…The trends of soil moisture over TP during 2002–2015 are analysed with the least square method 17 and shown in Fig. 6.…”

Section: Technical Validationmentioning

confidence: 99%

A spatio-temporal continuous soil moisture dataset over the Tibet Plateau from 2002 to 2015

et al. 2019

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Surface soil moisture is a key variable in the exchange of water and energy between the land surface and the atmosphere, and critical to meteorology, hydrology, and ecology. The Tibetan Plateau (TP), known as “The third pole of the world” and “Asia’s water towers”, exerts huge influences on and sensitive to global climates. In this situation, longer time series of soil moisture can provide sufficient information to understand the role of the TP. This paper presents the first comprehensive dataset (2002–2015) of spatio-temporal continuous soil moisture at 0.25° resolution, based on satellite-based optical (i.e. MODIS) and microwave (ECV) products using a machine learning method named general regression neural network (GRNN). The dataset itself reveals significant information on the soil moisture and its changes over the TP, and can aid to understand the potential driven mechanisms for climate change over the TP.

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“…Previous studies on the spatial patterns of cultivated land have mainly focused on the temporal and spatial changes in cultivated land [12], the changes in spatial patterns of cultivated land [13], the driving mechanisms of cultivated land changes [14], and the simulation and prediction of cultivated land changes [15]. The topic has gradually transitioned from the macro level of global [16], continental, national, and regional to the meso level of watershed, county and city, with different time spans.…”

Section: Introductionmentioning

confidence: 99%

Spatial Characteristics and Driving Forces of Cultivated Land Changes by Coupling Spatial Autocorrelation Model and Spatial-temporal Big Data

2021

KSII TIIS

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With the rapid development of information technology, it is now possible to analyze the spatial patterns of cultivated land and its evolution by combining GIS, geostatistical analysis models and spatiotemporal big data for the dynamic monitoring and management of cultivated land resources. The spatial pattern of cultivated land and its evolutionary patterns in Luoyang City, China from 2009 to 2019 were analyzed using spatial autocorrelation and spatial autoregressive models on the basis of GIS technology. It was found that: (1) the area of cultivated land in Luoyang decreased then increased between 2009 and 2019, with an overall increase of 0.43% in 2019 compared to 2009, with cultivated land being dominant in the overall landscape of Luoyang; (2) cultivated land holdings in Luoyang are highly spatially autocorrelated, with the 'high-high'-type area being concentrated in the border area directly north and northeast of Luoyang, while the 'low-low'-type area is concentrated in the south and in the municipal area of Luoyang, and being heavily influenced by topography and urbanization. The expansion determined during the study period mainly took place in the Luoyang City, with most of it being transferred from the 'high-low'-type area; (3) elevation, slope and industrial output values from analysis of the bivariate spatial autocorrelation and spatial autoregressive models of the drivers all had significant effects on the amount of cultivated land holdings, with elevation having a positive effect, and slope and industrial output having a negative effect.

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Change in Land Use and Evapotranspiration in the Manas River Basin, China with Long-term Water-saving Measures

Cited by 58 publications

References 28 publications

Hydrological process simulation in Manas River Basin using CMADS

Hydrological process simulation in Manas River Basin using CMADS

A spatio-temporal continuous soil moisture dataset over the Tibet Plateau from 2002 to 2015

Spatial Characteristics and Driving Forces of Cultivated Land Changes by Coupling Spatial Autocorrelation Model and Spatial-temporal Big Data

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