Moisture Distribution in Sloping Black Soil Farmland during the Freeze–Thaw Period in Northeastern China

Xianbo, Zhao; Xu, Shengli; Liu, Tiejun; Qiu, Pengpeng; Qin, Guoshuai

doi:10.3390/w11030536

Cited by 7 publications

(7 citation statements)

References 44 publications

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“…The CMADS model was completed over a 11-year period from 2008 to 2018 and has been applied to many watersheds in East Asia [49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65][66], achieving good simulations.…”

Section: Cmadsmentioning

confidence: 99%

Application and Evaluation of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in Poorly Gauged Regions in Western China

Meng

Yang

Wang

et al. 2019

Water

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The temporal and spatial differentiation of the underlying surface in East Asia is complex. Due to a lack of meteorological observation data, human cognition and understanding of the surface processes (runoff, snowmelt, soil moisture, water production, etc.) in the area have been greatly limited. With the Heihe River Basin, a poorly gauged region in the cold region of Western China, selected as the study area, three meteorological datasets are evaluated for their suitability to drive the Soil and Water Assessment Tool (SWAT): China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS), Climate Forecast System Reanalysis (CFSR), and Traditional Weather Station (TWS). Resultingly, (1) the runoff output of CMADS + SWAT mode is generally better than that of the other two modes (CFSR + SWAT and TWS + SWAT) and the monthly and daily Nash–Sutcliffe efficiency ranges of the CMADS + SWAT mode are 0.75–0.95 and 0.58–0.77, respectively; (2) the CMADS + SWAT and TWS + SWAT results were fairly similar to the actual data (especially for precipitation and evaporation), with the results produced by CMADS + SWAT lower than those produced by TWS + SWAT; (3) the CMADS + SWAT mode has a greater ability to reproduce water balance than the other two modes. Overestimation of CFSR precipitation results in greater error impact on the uncertainty output of the model, whereas the performances of CMADS and TWS are more similar. This study addresses the gap in the study of surface processes by CMADS users in Western China and provides an important scientific basis for analyzing poorly gauged regions in East Asia.

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Section: Cmadsmentioning

confidence: 99%

Application and Evaluation of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in Poorly Gauged Regions in Western China

Meng

Yang

Wang

et al. 2019

Water

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“…During seasonal freezing and thawing periods, the unfrozen soil water content of agricultural land is primarily influenced by evapotranspiration and air temperature. This can be attributed to the increased exposure of agricultural land, leading to higher surface evapotranspiration rates (Miao et al 2017, Zhao et al 2019. In the case of fallow land and shrubland, surface temperature emerges as the dominant environmental factor controlling soil unfrozen water content.…”

Section: Influencing Factors Of Soil Unfrozen Water Contentmentioning

confidence: 99%

Study on spatiotemporal changes and influencing factors of frozen soil moisture during freeze-thaw period under different ecological construction measures in the loess plateau of China

Cheng,

Wu,

et al. 2023

Environ. Res. Commun.

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The climatic conditions and soil characteristics of the Loess Plateau in China make it have a unique freeze–thaw process and the distribution of soil unfrozen water. In order to elucidate the spatio-temporal variation of soil unfrozen water during freeze–thaw period and its influencing factors under different ecological construction measures, The spatial and temporal variation of soil unfrozen moisture and its main influencing factors in five different ecological plots in the Loess Plateau during freeze–thaw period were studied by combining field monitoring and indoor calculation. The results showed that: (1) the spatiotemporal changes of unfrozen water content in soil were different under different vegetation restoration methods. The variation of unfrozen water content in fallow land was the largest at 20cm depth, while the variation in surface 10cm was the largest in the other four plots. (2) The average unfrozen water content of soil in the representative soil layer can be estimated more accurately, and the best representative soil layer in the five sample plots is concentrated in 20–30 cm. (3) During seasonal freeze–thaw period, the main controlling environmental factors of unfrozen water content are air temperature and surface temperature. The results can provide reference for soil protection and water resources management in northwest China, especially in the Loess Plateau.

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“…18. Zhao et al [27] used CMADS-ST and soil moisture observation data to study the dynamic characteristics of the near-surface hydrothermal process in a typical frozen soil region near Harbin and analyzed the soil moisture distribution in the black soil region during the freeze-thaw period. The results showed that the shallow soil moisture in the black soil slope farmland had a Gaussian distribution with the freeze-thaw period and that the peak of the soil moisture Gaussian distribution appeared in the early freeze-thaw period in early spring.…”

Section: Contributionsmentioning

confidence: 99%

“…This special issue provides a platform for researchers by assisting with the use of CMADS to conduct in-depth research on water quality and quantity modeling in East Asia in order to improve the research in the atmosphere, hydrology, and water environment in East Asia. The papers included in this special issue fall into eight broad categories: Meteorological verification and analysis [3,11], non-point source pollution [12], water resource modeling and parameter uncertainty analysis [13][14][15][16], comparison of reanalysis products [17][18][19][20], optimal operational of reservoirs [21,22], water footprint assessment [23], changes in water resources under climate and land use change [24], hydrological simulation in cold area [25,26], and CMADS-Soil Temperature (ST) application [27]. The following section summarizes the individual research within each application.…”

Section: Introductionmentioning

confidence: 99%

Profound Impacts of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS)

Meng

Wang

2019

Water

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As global warming continues to intensify, the problems of climate anomalies and deterioration of the water environment in East Asia are becoming increasingly prominent. In order to assist decision-making to tackle these problems, it is necessary to conduct in-depth research on the water environment and water resources through applying various hydrological and environmental models. To this end, the China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool (SWAT) model (CMADS) has been applied to East Asian regions where environmental issues are obvious, but the stations for monitoring meteorological variables are not uniformly distributed. The dataset contains all of the meteorological variables for SWAT, such as temperature, air pressure, humidity, wind, precipitation, and radiation. In addition, it includes a range of variables relevant to the Earth’s surface processes, such as soil temperature, soil moisture, and snowfall. Although the dataset is used mainly to drive the SWAT model, a large number of users worldwide for different models have employed CMADS and it is expected that users will not continue to limit the application of CMADS data to the SWAT model only. We believe that CMADS can assist all the users involved in the meteorological field in all aspects. In this paper, we introduce the research and development background, user group distribution, application area, application direction, and future development of CMADS. All of the articles published in this special issue will be mentioned in the contributions section of this article.

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Moisture Distribution in Sloping Black Soil Farmland during the Freeze–Thaw Period in Northeastern China

Abstract: This paper outlines dynamics of near-surface hydrothermal processes and analyzes the characteristics of moisture distribution during the freeze-

Cited by 7 publications

References 44 publications

Application and Evaluation of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in Poorly Gauged Regions in Western China

Application and Evaluation of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in Poorly Gauged Regions in Western China

Study on spatiotemporal changes and influencing factors of frozen soil moisture during freeze-thaw period under different ecological construction measures in the loess plateau of China

Profound Impacts of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS)

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