The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform
Jingai Wang - One of the best experts on this subject based on the ideXlab platform.
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a conversion method to determine the regional vegetation cover Factor from standard plots based on large sample theory and tm images a case study in the eastern farming pasture ecotone of northern china
Remote Sensing, 2017Co-Authors: Yaoyao Wu, Huiming Yang, Jingai WangAbstract:The key to simulating soil erosion is to calculate the vegetation cover (C) Factor. Methods that apply remote sensing to calculate the C Factor at a regional scale cannot directly use the C Factor Formula. That is because the C Factor Formula is obtained by experiments, and needs the coverage ratio data of croplands, woodlands, and grasslands at a standard plot scale. In this paper, we present a C Factor conversion method from a standard plot to a km-sized grid based on large sample theory and multi-scale remote sensing. The results show that: (1) Compared with the existing C Factor Formula, our method is based on the coverage ratio of croplands, woodlands, and grasslands on a km-sized grid, and takes the C Factor Formula obtained from the standard plot experiment and applies it to a regional scale. This method improves the applicability of the C Factor Formula, and can satisfy the need to simulate soil erosion in large areas; (2) The vegetation coverage obtained by remote sensing interpretation is significantly consistent (paired samples t-test, t = −0.03, df = 0.12, 2-tail significance p < 0.05) and significantly correlated with the measured vegetation coverage; (3) The C Factor of the study area is smaller in the middle, southern, and northern regions, and larger in the eastern and western regions. The main reason for that is the distribution of woodlands, the Hunshandake and Horqin sandy lands, and the valleys affected by human activities; (4) The method presented in this paper is more meticulous than the C Factor method based on the vegetation index, improves the applicability of the C Factor Formula, and can be used to simulate soil erosion on a large scale and provide strong support for regional soil and water conservation planning.
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A Conversion Method to Determine Regional Vegetation Cover Factor from Standard Plots based on Large Sample Theory and TM Images: A Case Study in the Eastern Farming-pasture Ecotone of Northern China
2017Co-Authors: Degen Lin, Huiming Yang, Yuan Gao, Peijun Shi, Jingai WangAbstract:The key to simulating soil erosion is to calculate the vegetation cover (C) Factor. Methods that apply remote sensing to calculate C Factor at regional scale cannot be directly using the C Factor Formula. That is because the C Factor Formula obtain by experiment, and need the coverage ratio data of croplands, woodlands and grasslands at standard plot scale. In this paper, we present a C Factor conversion method from a standard plot to a km-sized grid based on large sample theory and multi-scale remote sensing. Results show that: 1) Compared with the existing C Factor Formula, our method is based on the coverage ratio of croplands, woodlands and grasslands on a km-sized grid, takes the C Factor Formula obtained from the standard plot experiment and applies it to regional scale. This method improves the applicability of the C Factor Formula, and can satisfy the need to simulate soil erosion in large areas. 2) The vegetation coverage obtained by remote sensing interpretation is significantly consistent (paired samples t-test, t = −0.03, df = 0.12, 2-tail significance p < 0.05) and significantly correlated with the measured vegetation coverage. 3) The C Factor of the study area is smaller in the middle, southern and northern regions, and larger in the eastern and western regions. The main reason for that is the distribution of woodlands, the Hunshandake and Horqin sandy lands and the valleys affected by human activities. 4) The method presented in this paper is more meticulous than the C Factor method based on the vegetation index, improved the applicability of the C Factor Formula, and can be used to simulate soil erosion on large scale and provide strong support for regional soil and water conservation planning.
Yaoyao Wu - One of the best experts on this subject based on the ideXlab platform.
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a conversion method to determine the regional vegetation cover Factor from standard plots based on large sample theory and tm images a case study in the eastern farming pasture ecotone of northern china
Remote Sensing, 2017Co-Authors: Yaoyao Wu, Huiming Yang, Jingai WangAbstract:The key to simulating soil erosion is to calculate the vegetation cover (C) Factor. Methods that apply remote sensing to calculate the C Factor at a regional scale cannot directly use the C Factor Formula. That is because the C Factor Formula is obtained by experiments, and needs the coverage ratio data of croplands, woodlands, and grasslands at a standard plot scale. In this paper, we present a C Factor conversion method from a standard plot to a km-sized grid based on large sample theory and multi-scale remote sensing. The results show that: (1) Compared with the existing C Factor Formula, our method is based on the coverage ratio of croplands, woodlands, and grasslands on a km-sized grid, and takes the C Factor Formula obtained from the standard plot experiment and applies it to a regional scale. This method improves the applicability of the C Factor Formula, and can satisfy the need to simulate soil erosion in large areas; (2) The vegetation coverage obtained by remote sensing interpretation is significantly consistent (paired samples t-test, t = −0.03, df = 0.12, 2-tail significance p < 0.05) and significantly correlated with the measured vegetation coverage; (3) The C Factor of the study area is smaller in the middle, southern, and northern regions, and larger in the eastern and western regions. The main reason for that is the distribution of woodlands, the Hunshandake and Horqin sandy lands, and the valleys affected by human activities; (4) The method presented in this paper is more meticulous than the C Factor method based on the vegetation index, improves the applicability of the C Factor Formula, and can be used to simulate soil erosion on a large scale and provide strong support for regional soil and water conservation planning.
Huiming Yang - One of the best experts on this subject based on the ideXlab platform.
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a conversion method to determine the regional vegetation cover Factor from standard plots based on large sample theory and tm images a case study in the eastern farming pasture ecotone of northern china
Remote Sensing, 2017Co-Authors: Yaoyao Wu, Huiming Yang, Jingai WangAbstract:The key to simulating soil erosion is to calculate the vegetation cover (C) Factor. Methods that apply remote sensing to calculate the C Factor at a regional scale cannot directly use the C Factor Formula. That is because the C Factor Formula is obtained by experiments, and needs the coverage ratio data of croplands, woodlands, and grasslands at a standard plot scale. In this paper, we present a C Factor conversion method from a standard plot to a km-sized grid based on large sample theory and multi-scale remote sensing. The results show that: (1) Compared with the existing C Factor Formula, our method is based on the coverage ratio of croplands, woodlands, and grasslands on a km-sized grid, and takes the C Factor Formula obtained from the standard plot experiment and applies it to a regional scale. This method improves the applicability of the C Factor Formula, and can satisfy the need to simulate soil erosion in large areas; (2) The vegetation coverage obtained by remote sensing interpretation is significantly consistent (paired samples t-test, t = −0.03, df = 0.12, 2-tail significance p < 0.05) and significantly correlated with the measured vegetation coverage; (3) The C Factor of the study area is smaller in the middle, southern, and northern regions, and larger in the eastern and western regions. The main reason for that is the distribution of woodlands, the Hunshandake and Horqin sandy lands, and the valleys affected by human activities; (4) The method presented in this paper is more meticulous than the C Factor method based on the vegetation index, improves the applicability of the C Factor Formula, and can be used to simulate soil erosion on a large scale and provide strong support for regional soil and water conservation planning.
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A Conversion Method to Determine Regional Vegetation Cover Factor from Standard Plots based on Large Sample Theory and TM Images: A Case Study in the Eastern Farming-pasture Ecotone of Northern China
2017Co-Authors: Degen Lin, Huiming Yang, Yuan Gao, Peijun Shi, Jingai WangAbstract:The key to simulating soil erosion is to calculate the vegetation cover (C) Factor. Methods that apply remote sensing to calculate C Factor at regional scale cannot be directly using the C Factor Formula. That is because the C Factor Formula obtain by experiment, and need the coverage ratio data of croplands, woodlands and grasslands at standard plot scale. In this paper, we present a C Factor conversion method from a standard plot to a km-sized grid based on large sample theory and multi-scale remote sensing. Results show that: 1) Compared with the existing C Factor Formula, our method is based on the coverage ratio of croplands, woodlands and grasslands on a km-sized grid, takes the C Factor Formula obtained from the standard plot experiment and applies it to regional scale. This method improves the applicability of the C Factor Formula, and can satisfy the need to simulate soil erosion in large areas. 2) The vegetation coverage obtained by remote sensing interpretation is significantly consistent (paired samples t-test, t = −0.03, df = 0.12, 2-tail significance p < 0.05) and significantly correlated with the measured vegetation coverage. 3) The C Factor of the study area is smaller in the middle, southern and northern regions, and larger in the eastern and western regions. The main reason for that is the distribution of woodlands, the Hunshandake and Horqin sandy lands and the valleys affected by human activities. 4) The method presented in this paper is more meticulous than the C Factor method based on the vegetation index, improved the applicability of the C Factor Formula, and can be used to simulate soil erosion on large scale and provide strong support for regional soil and water conservation planning.
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A Conversion Method to Determine Regional Vegetation Cover Factor from Standard Plots based on Large Sample Theory and TM Images: A Case Study in the Eastern Farming-pasture Ecotone of Northern China
2017Co-Authors: Degen Lin, Huiming Yang, Yuan Gao, Peijun Shi, Jing’ai WangAbstract:The key to simulating soil erosion is to calculate the vegetation cover (C) Factor. Methods that apply remote sensing to calculate C Factor at regional scale cannot directly use the C Factor Formula. That is because the C Factor Formula is obtained by experiment, and needs the coverage ratio data of croplands, woodlands and grasslands at standard plot scale. In this paper, we present a C Factor conversion method from a standard plot to a km-sized grid based on large sample theory and multi-scale remote sensing. Results show that: 1) Compared with the existing C Factor Formula, our method is based on the coverage ratio of croplands, woodlands and grasslands on a km-sized grid, takes the C Factor Formula obtained from the standard plot experiment and applies it to regional scale. This method improves the applicability of the C Factor Formula, and can satisfy the need to simulate soil erosion in large areas. 2) The vegetation coverage obtained by remote sensing interpretation is significantly consistent (paired samples t-test, t = −0.03, df = 0.12, 2-tail significance p < 0.05) and significantly correlated with the measured vegetation coverage. 3) The C Factor of the study area is smaller in the middle, southern and northern regions, and larger in the eastern and western regions. The main reason for that is the distribution of woodlands, the Hunshandake and Horqin sandy lands and the valleys affected by human activities. 4) The method presented in this paper is more meticulous than the C Factor method based on the vegetation index, improves the applicability of the C Factor Formula, and can be used to simulate soil erosion on large scale and provide strong support for regional soil and water conservation planning.
Zhiheng Wang - One of the best experts on this subject based on the ideXlab platform.
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Trailing Edge Filings and a Modified Stodola’s Slip Factor for Centrifugal Impeller
Volume 1: Aircraft Engine; Fans and Blowers; Marine, 2015Co-Authors: Huijing Zhao, Zhiheng WangAbstract:The paper investigates the effect of trailing edge filing in the impeller on the performances of impeller and compressor stage. The 3D viscous numerical simulations are carried out under different positions, thicknesses and lengths of filing. The results show that, the filing on the trailing edge has an obvious effect on the pressure ratios of impeller and compressor stage. The trailing edge filing has little effect on the impeller efficiency while the filing on the pressure side is favorable to improving the stage efficiency. Then, through correcting the blade angles at the suction and pressure sides, considering the viscosity and 3D characteristics of the flow, a modified slip Factor Formula is proposed for the centrifugal impeller with a trailing edge filing. The validation to the proposed Formula shows that the proposed Formula can be used to predict the slip Factors of different filing cases with a good accuracy. It can provide a theoretical guidance for the quantitative calculation when using the filing technology to improve the performance of centrifugal impeller as well as the stage.Copyright © 2015 by ASME
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trailing edge filings and a modified stodola s slip Factor for centrifugal impeller
ASME Turbo Expo 2015: Turbine Technical Conference and Exposition, 2015Co-Authors: Huijing Zhao, Zhiheng WangAbstract:The paper investigates the effect of trailing edge filing in the impeller on the performances of impeller and compressor stage. The 3D viscous numerical simulations are carried out under different positions, thicknesses and lengths of filing. The results show that, the filing on the trailing edge has an obvious effect on the pressure ratios of impeller and compressor stage. The trailing edge filing has little effect on the impeller efficiency while the filing on the pressure side is favorable to improving the stage efficiency. Then, through correcting the blade angles at the suction and pressure sides, considering the viscosity and 3D characteristics of the flow, a modified slip Factor Formula is proposed for the centrifugal impeller with a trailing edge filing. The validation to the proposed Formula shows that the proposed Formula can be used to predict the slip Factors of different filing cases with a good accuracy. It can provide a theoretical guidance for the quantitative calculation when using the filing technology to improve the performance of centrifugal impeller as well as the stage.Copyright © 2015 by ASME
Huijing Zhao - One of the best experts on this subject based on the ideXlab platform.
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Trailing Edge Filings and a Modified Stodola’s Slip Factor for Centrifugal Impeller
Volume 1: Aircraft Engine; Fans and Blowers; Marine, 2015Co-Authors: Huijing Zhao, Zhiheng WangAbstract:The paper investigates the effect of trailing edge filing in the impeller on the performances of impeller and compressor stage. The 3D viscous numerical simulations are carried out under different positions, thicknesses and lengths of filing. The results show that, the filing on the trailing edge has an obvious effect on the pressure ratios of impeller and compressor stage. The trailing edge filing has little effect on the impeller efficiency while the filing on the pressure side is favorable to improving the stage efficiency. Then, through correcting the blade angles at the suction and pressure sides, considering the viscosity and 3D characteristics of the flow, a modified slip Factor Formula is proposed for the centrifugal impeller with a trailing edge filing. The validation to the proposed Formula shows that the proposed Formula can be used to predict the slip Factors of different filing cases with a good accuracy. It can provide a theoretical guidance for the quantitative calculation when using the filing technology to improve the performance of centrifugal impeller as well as the stage.Copyright © 2015 by ASME
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trailing edge filings and a modified stodola s slip Factor for centrifugal impeller
ASME Turbo Expo 2015: Turbine Technical Conference and Exposition, 2015Co-Authors: Huijing Zhao, Zhiheng WangAbstract:The paper investigates the effect of trailing edge filing in the impeller on the performances of impeller and compressor stage. The 3D viscous numerical simulations are carried out under different positions, thicknesses and lengths of filing. The results show that, the filing on the trailing edge has an obvious effect on the pressure ratios of impeller and compressor stage. The trailing edge filing has little effect on the impeller efficiency while the filing on the pressure side is favorable to improving the stage efficiency. Then, through correcting the blade angles at the suction and pressure sides, considering the viscosity and 3D characteristics of the flow, a modified slip Factor Formula is proposed for the centrifugal impeller with a trailing edge filing. The validation to the proposed Formula shows that the proposed Formula can be used to predict the slip Factors of different filing cases with a good accuracy. It can provide a theoretical guidance for the quantitative calculation when using the filing technology to improve the performance of centrifugal impeller as well as the stage.Copyright © 2015 by ASME
