5 results on '"Qian, Zhonghua"'
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2. Effects of climate change on vegetation patterns in Hulun Buir Grassland
- Author
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Chen, Zheng, Liu, Jieyu, Li, Li, Wu, Yongping, Feng, Guolin, Qian, Zhonghua, and Sun, Gui-Quan
- Published
- 2022
- Full Text
- View/download PDF
3. Effective detection of early warning signal with power spectrum in climate change system.
- Author
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Chen, Zheng, Fan, Peiyi, Hou, Xintong, Feng, Guolin, and Qian, Zhonghua
- Subjects
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POWER spectra , *SPECTRUM analysis , *HOPF bifurcations , *SEA ice , *NONLINEAR systems - Abstract
The development of early warning signals (EWS) before abrupt changes can help prevent system collapse. Current EWS, such as increasing autocorrelation (AC) and variance, provide general indicators of impending tipping points by detecting the slowing down of dynamics near transitions. However, these conventional EWS often fail to distinguish between oscillatory behavior (e.g., Hopf bifurcation) and shifts to a distant attractor (e.g., Fold bifurcation). Additionally, traditional EWS are less reliable in systems affected by density-dependent noise. To address these limitations, alternative EWS based on power spectrum analysis, known as spectral EWS, have been proposed. In this study, we apply analytical approximations for EWS as systems approach different types of local bifurcations. This novel method allows us to use spectral EWS that offer enhanced sensitivity to approaching transitions and increased robustness to density-dependent noise. We demonstrate the application of spectral EWS as robust indicators across three general models with different bifurcations. Our analysis also reveals distinct signals preceding transitions in data from sea ice loss. This combined approach underscores the advantages of incorporating spectral EWS into existing methodologies, providing a more comprehensive toolkit for anticipating critical transitions in real-world systems. • A novel method to detect the transition in nonlinear system. • Analytical approximations for EWS are applied when the system approaches to different types of local bifurcation. • This method can detect the transition more robustly of climate change system. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
4. Effects of various discharge strategies on ignition and combustion of lean natural gas mixture under the static and turbulent conditions.
- Author
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Huang, Shuai, Li, Tie, Wang, Xinran, Chen, Run, Yang, Rundai, and Qian, Zhonghua
- Subjects
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NATURAL gas , *LEAN combustion , *GAS mixtures , *THERMAL efficiency , *INTERNAL combustion engines , *SPARK plugs , *DIESEL motor combustion , *FLAME - Abstract
• Enhancing the ignition energy has little influence on ignition with the static condition. • The multi-strike is superior to the continuous discharge at the lean limit of static condition. • Enhancing the ignition energy improves the ignition performance with the turbulent condition. • The discharge duration is more critical on ignition than the discharge power under the strong flow field. • The continuous discharge is better than the multi-strike for ignition under the strong flow field. Diluted combustion can promote thermal efficiency and decrease NO x emissions for natural gas engines, but also presents high cycle-by-cycle variations. Enhancing the in-cylinder flow field is beneficial for the combustion stability, but brings challenges for the stable ignition. Therefore, advanced ignition strategies are critical for extending the diluted limit. In this work, by using the constant volume combustion vessel, rapid compression and expansion machine, and multi-cylinder natural gas engine, the lean methane/air or natural gas/air mixtures under the static and turbulent conditions are established to compare various discharge strategies. The comparisons include: (1) different discharge energies, (2) power and duration enhancements with similar discharge energies, (3) the continuous discharge and multi-strike. For the static condition, once the flame kernel can be successfully established, enhancing discharge power or duration has few effects on ignition. The continuous discharge and multi-strike show no clear differences. At the lean limit, the multi-strike shows better performance than the continuous discharge. For the turbulent condition, increasing discharge energy can promote the initial flame propagation. When the flow velocity around the spark plug increases to some extent, enhancing the discharge duration shows better performance than enhancing the discharge power. Moreover, the continuous discharge is better for the ignition processes than the multi-strike. For the multi-cylinder engine tests, compared to the single strike of one coil, the continuous discharge and multi-strike extend the lean limit from the excess air ratio of 1.51 to 1.61. The multi-strike is more beneficial for the combustion phase stability than the continuous discharge. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
5. Responses of vegetation spring phenology to climatic factors in Xinjiang, China.
- Author
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Li, Cheng, Wang, Ranghui, Cui, Xuefeng, Wu, Fang, Yan, Yu, Peng, Qing, Qian, Zhonghua, and Xu, Yang
- Subjects
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PLANT phenology , *PARTIAL least squares regression , *NORMALIZED difference vegetation index , *PHENOLOGY , *ARID regions , *SOLAR radiation - Abstract
• The start of vegetation growing season (SOS) dynamics were analyzed over Xinjiang. • Regional scaling of SOS shifted from advancing to delaying before and after 2005. • Temperature was important for driving SOS, whereas more precipitation delayed SOS. Understanding the response of vegetation spring phenology to climatic factors in arid regions is crucial for projecting the land-climate interactions of arid ecosystems under climate change. The Xinjiang region, an important part of northern China with complex climatic features, was selected as a case study. We investigated the impact of temperature, precipitation, and solar radiation on the start of the vegetation growing season (SOS) using a long-term series of the normalized difference vegetation index, climate data from 1982 to 2014, and the partial least squares regression (PLS) method. The primary findings were following: (1) the regional scaling of the mean SOS ranged from 95 to 113 day of year (DOY) and showed distinct spatial heterogeneity for different vegetation types. The relative percentage of the area that exhibited advanced SOS (65.80%) was larger than that of the area that exhibited delayed SOS (34.20%), with a regional advancing tendency of 0.19 days per year during the study period. Different vegetation types showed an advancing SOS, which shifted to delaying after 2005. (2) Temperature significantly affected the SOS for various vegetation types. Generally, the warming spring temperatures led to advanced SOS, whereas reduced warming in spring after 2005 reversed the SOS trends. The higher solar radiation occurring from late winter to spring also contributed to the advance in the SOS. Conversely, the increasing precipitation during this period caused a delay in the SOS. These results can provide a useful reference for improving the vegetation phenology models of arid regions. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
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