E<sub>x</sub>-E<sub>y</sub> hybrid Probe for High Frequency Electromagnetic Interference Measurement

Zhou, Zi-Jian; Du, Yu; Tian, Yu; Feng, Yu-Ru; Wei, Xing‐Chang

doi:10.1109/gemccon50979.2020.9456740

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…The Pearson correlation coefficient (PCC) is used to measure the linear correlation between two independent variables [32], which is calculated in Equation ( 5):…”

Section: Pearson Correlation Analysismentioning

confidence: 99%

Spatiotemporal Trends of Forest Carbon Stock and Its Response to Environmental Factors in the Yangtze River Basin during 2005–2020

Cao,

Chen,

et al. 2023

Forests

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It is of great significance to accurately assess the carbon sink capacity and trend of forest ecosystems on a regional scale, which is a key step to realizing sustainable forest management and carbon sink. Based on several remote sensing datasets, this study analyzes the dynamic characteristics of forest carbon stock in the Yangtze River Basin and its response to environmental factors using the Mann–Kendall nonparametric test, correlation analysis, and BP neural network during 2005–2020. The results show that forest carbon stock in the Yangtze River Basin shows a fluctuating upward trend, with an average annual growth rate of 0.91%. Forest carbon stock in western high-altitude areas and areas with high human activity in the east showed a downward trend, while the central plains showed a stable growth trend. In the vast plains of the Yangtze River Basin, a suitable drought degree (−0.5 < SPEI < 0.5) is helpful to the accumulation of forest carbon reserves. In the future, rich forest resources should be fully developed to promote synergy between environmental protection and economic development from the perspective of developing green carbon trading, such as the carbon-sink forestry projects of CCER.

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“…The Pearson correlation coefficient (PCC) is used to measure the linear correlation between two independent variables [32], which is calculated in Equation ( 5):…”

Section: Pearson Correlation Analysismentioning

confidence: 99%

Spatiotemporal Trends of Forest Carbon Stock and Its Response to Environmental Factors in the Yangtze River Basin during 2005–2020

Cao,

Chen,

et al. 2023

Forests

View full text Add to dashboard Cite

show abstract

E_x-E_y hybrid Probe for High Frequency Electromagnetic Interference Measurement

Cited by 1 publication

References 7 publications

Spatiotemporal Trends of Forest Carbon Stock and Its Response to Environmental Factors in the Yangtze River Basin during 2005–2020

Spatiotemporal Trends of Forest Carbon Stock and Its Response to Environmental Factors in the Yangtze River Basin during 2005–2020

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Ex-Ey hybrid Probe for High Frequency Electromagnetic Interference Measurement

Cited by 1 publication

References 7 publications

Spatiotemporal Trends of Forest Carbon Stock and Its Response to Environmental Factors in the Yangtze River Basin during 2005–2020

Spatiotemporal Trends of Forest Carbon Stock and Its Response to Environmental Factors in the Yangtze River Basin during 2005–2020

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E_x-E_y hybrid Probe for High Frequency Electromagnetic Interference Measurement