Moisture Control

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Zhongxin Chen - One of the best experts on this subject based on the ideXlab platform.

  • Improving a Penman–Monteith evapotranspiration model by incorporating soil Moisture Control on soil evaporation in semiarid areas
    International Journal of Digital Earth, 2013
    Co-Authors: Liang Sun, Shunlin Liang, Wenping Yuan, Zhongxin Chen
    Abstract:

    Penman–Monteith (PM) theory has been successfully applied to calculate land surface evapotranspiration (ET) for regional and global scales. However, soil surface resistance, related to soil Moisture, is always difficult to determine over a large region, especially in arid or semiarid areas. In this study, we developed an ET estimation algorithm by incorporating soil Moisture Control, a soil Moisture index (SMI) derived from the surface temperature and vegetation index space. We denoted this ET algorithm as the PM-SMI. The PM-SMI algorithm was compared with several other algorithms that calculated soil evaporation using relative humidity, and validated with Bowen ratio measurements at seven sites in the Southern Great Plain (SGP) that were covered by grassland and cropland with low vegetation cover, as well as at three eddy covariance sites from AmeriFlux covered by forest with high vegetation cover. The results show that in comparison with the other methods examined, the PM-SMI algorithm significantly imp...

  • improving a penman monteith evapotranspiration model by incorporating soil Moisture Control on soil evaporation in semiarid areas
    International Journal of Digital Earth, 2013
    Co-Authors: Liang Sun, Shunlin Liang, Wenping Yuan, Zhongxin Chen
    Abstract:

    Penman–Monteith (PM) theory has been successfully applied to calculate land surface evapotranspiration (ET) for regional and global scales. However, soil surface resistance, related to soil Moisture, is always difficult to determine over a large region, especially in arid or semiarid areas. In this study, we developed an ET estimation algorithm by incorporating soil Moisture Control, a soil Moisture index (SMI) derived from the surface temperature and vegetation index space. We denoted this ET algorithm as the PM-SMI. The PM-SMI algorithm was compared with several other algorithms that calculated soil evaporation using relative humidity, and validated with Bowen ratio measurements at seven sites in the Southern Great Plain (SGP) that were covered by grassland and cropland with low vegetation cover, as well as at three eddy covariance sites from AmeriFlux covered by forest with high vegetation cover. The results show that in comparison with the other methods examined, the PM-SMI algorithm significantly imp...

Liang Sun - One of the best experts on this subject based on the ideXlab platform.

  • Improving a Penman–Monteith evapotranspiration model by incorporating soil Moisture Control on soil evaporation in semiarid areas
    International Journal of Digital Earth, 2013
    Co-Authors: Liang Sun, Shunlin Liang, Wenping Yuan, Zhongxin Chen
    Abstract:

    Penman–Monteith (PM) theory has been successfully applied to calculate land surface evapotranspiration (ET) for regional and global scales. However, soil surface resistance, related to soil Moisture, is always difficult to determine over a large region, especially in arid or semiarid areas. In this study, we developed an ET estimation algorithm by incorporating soil Moisture Control, a soil Moisture index (SMI) derived from the surface temperature and vegetation index space. We denoted this ET algorithm as the PM-SMI. The PM-SMI algorithm was compared with several other algorithms that calculated soil evaporation using relative humidity, and validated with Bowen ratio measurements at seven sites in the Southern Great Plain (SGP) that were covered by grassland and cropland with low vegetation cover, as well as at three eddy covariance sites from AmeriFlux covered by forest with high vegetation cover. The results show that in comparison with the other methods examined, the PM-SMI algorithm significantly imp...

  • improving a penman monteith evapotranspiration model by incorporating soil Moisture Control on soil evaporation in semiarid areas
    International Journal of Digital Earth, 2013
    Co-Authors: Liang Sun, Shunlin Liang, Wenping Yuan, Zhongxin Chen
    Abstract:

    Penman–Monteith (PM) theory has been successfully applied to calculate land surface evapotranspiration (ET) for regional and global scales. However, soil surface resistance, related to soil Moisture, is always difficult to determine over a large region, especially in arid or semiarid areas. In this study, we developed an ET estimation algorithm by incorporating soil Moisture Control, a soil Moisture index (SMI) derived from the surface temperature and vegetation index space. We denoted this ET algorithm as the PM-SMI. The PM-SMI algorithm was compared with several other algorithms that calculated soil evaporation using relative humidity, and validated with Bowen ratio measurements at seven sites in the Southern Great Plain (SGP) that were covered by grassland and cropland with low vegetation cover, as well as at three eddy covariance sites from AmeriFlux covered by forest with high vegetation cover. The results show that in comparison with the other methods examined, the PM-SMI algorithm significantly imp...

Hu Muyi - One of the best experts on this subject based on the ideXlab platform.

  • Optimal program of sheet Moisture Control system for paper machine dryer section
    Journal of Nanjing Forestry University, 2010
    Co-Authors: Yao Xinyue, Zhang Hui, Hu Muyi
    Abstract:

    In order to overcome the large inertia of Moisture Control and stabilize the drying curve in paper machine dryer section, valve position Control system was studied with dry air intake Control as the main-loop, dryer vapor pressure Control as the sub-loop together with feed-forward Control. And further, a new Control strategy was established in which hood supply air Moisture and zero-level were respectively Controlled by circulating load of exhaust air and exhaust rate of fan and dew point was Controlled under the upper constraint. The results show that in comparation of conventional sheet Moisture Control system using the cylinder vapor pressure, the valve position Control system with feed-forward Control can stable sheet Moisture fast. The influence of disturbance to exhaust air dew point is so low that its optimal value can be used for system design. The rapidity of dry air intake Control and timeliness of feed-forward Control make Moisture fluctuation in sheet so small that the amount of steam and water resources can be effectively saved by optimizing the dryness setting in the quality Control system of paper machine.

Shunlin Liang - One of the best experts on this subject based on the ideXlab platform.

  • Improving a Penman–Monteith evapotranspiration model by incorporating soil Moisture Control on soil evaporation in semiarid areas
    International Journal of Digital Earth, 2013
    Co-Authors: Liang Sun, Shunlin Liang, Wenping Yuan, Zhongxin Chen
    Abstract:

    Penman–Monteith (PM) theory has been successfully applied to calculate land surface evapotranspiration (ET) for regional and global scales. However, soil surface resistance, related to soil Moisture, is always difficult to determine over a large region, especially in arid or semiarid areas. In this study, we developed an ET estimation algorithm by incorporating soil Moisture Control, a soil Moisture index (SMI) derived from the surface temperature and vegetation index space. We denoted this ET algorithm as the PM-SMI. The PM-SMI algorithm was compared with several other algorithms that calculated soil evaporation using relative humidity, and validated with Bowen ratio measurements at seven sites in the Southern Great Plain (SGP) that were covered by grassland and cropland with low vegetation cover, as well as at three eddy covariance sites from AmeriFlux covered by forest with high vegetation cover. The results show that in comparison with the other methods examined, the PM-SMI algorithm significantly imp...

  • improving a penman monteith evapotranspiration model by incorporating soil Moisture Control on soil evaporation in semiarid areas
    International Journal of Digital Earth, 2013
    Co-Authors: Liang Sun, Shunlin Liang, Wenping Yuan, Zhongxin Chen
    Abstract:

    Penman–Monteith (PM) theory has been successfully applied to calculate land surface evapotranspiration (ET) for regional and global scales. However, soil surface resistance, related to soil Moisture, is always difficult to determine over a large region, especially in arid or semiarid areas. In this study, we developed an ET estimation algorithm by incorporating soil Moisture Control, a soil Moisture index (SMI) derived from the surface temperature and vegetation index space. We denoted this ET algorithm as the PM-SMI. The PM-SMI algorithm was compared with several other algorithms that calculated soil evaporation using relative humidity, and validated with Bowen ratio measurements at seven sites in the Southern Great Plain (SGP) that were covered by grassland and cropland with low vegetation cover, as well as at three eddy covariance sites from AmeriFlux covered by forest with high vegetation cover. The results show that in comparison with the other methods examined, the PM-SMI algorithm significantly imp...

Wenping Yuan - One of the best experts on this subject based on the ideXlab platform.

  • Improving a Penman–Monteith evapotranspiration model by incorporating soil Moisture Control on soil evaporation in semiarid areas
    International Journal of Digital Earth, 2013
    Co-Authors: Liang Sun, Shunlin Liang, Wenping Yuan, Zhongxin Chen
    Abstract:

    Penman–Monteith (PM) theory has been successfully applied to calculate land surface evapotranspiration (ET) for regional and global scales. However, soil surface resistance, related to soil Moisture, is always difficult to determine over a large region, especially in arid or semiarid areas. In this study, we developed an ET estimation algorithm by incorporating soil Moisture Control, a soil Moisture index (SMI) derived from the surface temperature and vegetation index space. We denoted this ET algorithm as the PM-SMI. The PM-SMI algorithm was compared with several other algorithms that calculated soil evaporation using relative humidity, and validated with Bowen ratio measurements at seven sites in the Southern Great Plain (SGP) that were covered by grassland and cropland with low vegetation cover, as well as at three eddy covariance sites from AmeriFlux covered by forest with high vegetation cover. The results show that in comparison with the other methods examined, the PM-SMI algorithm significantly imp...

  • improving a penman monteith evapotranspiration model by incorporating soil Moisture Control on soil evaporation in semiarid areas
    International Journal of Digital Earth, 2013
    Co-Authors: Liang Sun, Shunlin Liang, Wenping Yuan, Zhongxin Chen
    Abstract:

    Penman–Monteith (PM) theory has been successfully applied to calculate land surface evapotranspiration (ET) for regional and global scales. However, soil surface resistance, related to soil Moisture, is always difficult to determine over a large region, especially in arid or semiarid areas. In this study, we developed an ET estimation algorithm by incorporating soil Moisture Control, a soil Moisture index (SMI) derived from the surface temperature and vegetation index space. We denoted this ET algorithm as the PM-SMI. The PM-SMI algorithm was compared with several other algorithms that calculated soil evaporation using relative humidity, and validated with Bowen ratio measurements at seven sites in the Southern Great Plain (SGP) that were covered by grassland and cropland with low vegetation cover, as well as at three eddy covariance sites from AmeriFlux covered by forest with high vegetation cover. The results show that in comparison with the other methods examined, the PM-SMI algorithm significantly imp...