Littérature scientifique sur le sujet « Beijing tong chang »
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Articles de revues sur le sujet "Beijing tong chang"
1
Yin, Hui. « Acoustic Study of Tone 3 Sandhi in Beijing and Taiwan Mandarin ». International Journal of English Linguistics 10, no 2 (5 février 2020) : 98. http://dx.doi.org/10.5539/ijel.v10n2p98.
Texte intégralRésumé :
Studies on Mandarin tone sandhi have focused on Beijing Mandarin. Taiwan has been politically separated from mainland China since 1949, but it is not known if tone sandhi in Taiwan Mandarin displays different patterns or characteristics. However, there has been no comparative study to investigate if Beijing Mandarin and Taiwan Mandarin display the same tone sandhi pattern. This study aims to fill this gap by comparing Beijing and Taiwan Mandarin through a productive experiment to examine acoustic differences between sandhied tone 3 and lexical tone 2. The results indicate that tone 3 sandhi among Mandarin dialects is not a homogeneous category, but displays a graded phenomenon of a categorical change and tonal reduction. The experimental evidence shows that acoustic difference between sandhied tone 3 and lexical tone 2 is larger in Beijing Mandarin than that in Taiwan Mandarin. Gender effects are also detected and acoustic difference in female samples is consistently larger than that in male samples across Beijing and Taiwan Mandarin. The findings suggest that the third tone sandhi in Beijing Mandarin is more like a categorical change (i.e., changed to lexical tone 2) whereas the sandhi in Taiwan Mandarin is more like a tonal reduction.
2
Lin, Hui-shan. « Indirect tone-prominence interaction in Kunming tone sandhi ». Concentric. Studies in Linguistics 45, no 1 (31 mai 2019) : 44–81. http://dx.doi.org/10.1075/consl.00003.li.
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Abstract Kunming exhibits a special kind of interaction between tone and prominence whereby the prosodic headedness is shown to play an indirect role in tone sandhi. Due to higher-ranked tonal faithfulness constraints, lower tones, which are universally unfavored in the head position, do not change to higher tones, and higher tones, which are universally unfavored in the non-head position, do not change to lower tones. Nonetheless, though the unfavored tone-(non-)head correlation does not directly trigger tone sandhi, it indirectly decides whether tone sandhi will take place. Falling tones, inter-syllabic tone segment disagreement, and tonal combinations with identical contours are marked tonal structures in the language. But not all these structures result in tone sandhi. The penalization of these structures is tied to an unfavored tone-(non-)head correlation; only when an undesired tone-(non-)head correlation is involved are the marked tonal structures penalized. The indirect tone-(non-)head interaction observed in Kunming is special but not unique to the language as a similar correlation is found in the Chinese dialects of Dongshi Hakka and Beijing Mandarin.
3
Yan, Haiming, Xin Guo, Shuqin Zhao et Huicai Yang. « Variation of Net Carbon Emissions from Land Use Change in the Beijing-Tianjin-Hebei Region during 1990–2020 ». Land 11, no 7 (30 juin 2022) : 997. http://dx.doi.org/10.3390/land11070997.
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Global increasing carbon emissions have triggered a series of environmental problems and greatly affected the production and living of human beings. This study estimated carbon emissions from land use change in the Beijing-Tianjin-Hebei region during 1990–2020 with the carbon emission model and explored major influencing factors of carbon emissions with the Logarithmic Mean Divisia Index (LMDI) model. The results suggested that the cropland decreased most significantly, while the built-up area increased significantly due to accelerated urbanization. The total carbon emissions in the study area increased remarkably from 112.86 million tons in 1990 to 525.30 million tons in 2020, and the built-up area was the main carbon source, of which the carbon emissions increased by 370.37%. Forest land accounted for 83.58–89.56% of the total carbon absorption but still failed to offset the carbon emission of the built-up area. Carbon emissions were influenced by various factors, and the results of this study suggested that the gross domestic product (GDP) per capita contributed most to the increase of carbon emissions in the study area, resulting in a cumulative increase of carbon emissions by 9.48 million tons, followed by the land use structure, carbon emission intensity per unit of land, and population size. By contrast, the land use intensity per unit of GDP had a restraining effect on carbon emissions, making the cumulative carbon emissions decrease by 103.26 million tons. This study accurately revealed the variation of net carbon emissions from land use change and the effects of influencing factors of carbon emissions from land use change in the Beijing-Tianjin-Hebei region, which can provide a firm scientific basis for improving the regional land use planning and for promoting the low-carbon economic development of the Beijing-Tianjin-Hebei region.
4
Yang, Huicai, Shuqin Zhao, Zhanfei Qin, Zhiguo Qi, Xinying Jiao et Zhen Li. « Differentiation of Carbon Sink Enhancement Potential in the Beijing–Tianjin–Hebei Region of China ». Land 13, no 3 (16 mars 2024) : 375. http://dx.doi.org/10.3390/land13030375.
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Carbon sink enhancement is of great significance to achieving carbon peak and carbon neutrality. This study firstly estimated the carbon sink in the Beijing–Tianjin–Hebei Region using the carbon absorption coefficient method. Then, this study explored the differentiation of carbon sink enhancement potential with a carbon sink–economic carrying capacity index matrix based on carbon sink carrying capacity and economic carrying capacity under the baseline scenario and target scenario of land use. The results suggested there was a remarkable differentiation in total carbon sink in the study area, reaching 2,056,400 and 1,528,300 tons in Chengde and Zhangjiakou and being below 500,000 tons in Langfang and Hengshui, while carbon sink per unit land area reached 0.66 ton/ha in Qinhuangdao and only 0.28 t/ha in Tianjin under the baseline scenario. Increasing area and optimizing spatial distribution of arable land, garden land, and forest, which made the greatest contribution to total carbon sinks, is an important way of enhancing regional carbon sinks. A hypothetical benchmark city can be constructed according to Qinhuangdao and Beijing, in comparison with which there is potential for carbon sink enhancement by improving carbon sink capacity in Beijing, promoting economic carrying capacity in Qinhuangdao, and improving both in the other cities in the study area.
5
Meng, Qingxiang, Baolu Li, Yanna Zheng, Huimin Zhu, Ziyi Xiong, Yingchao Li et Qingsong Li. « Multi-Scenario Prediction Analysis of Carbon Peak Based on STIRPAT Model-Take South-to-North Water Diversion Central Route Provinces and Cities as an Example ». Land 12, no 11 (8 novembre 2023) : 2035. http://dx.doi.org/10.3390/land12112035.
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With the increase in energy demand, environmental issues such as carbon emissions are becoming more and more prominent. China will scale its intended nationally determined contributions by adopting more vigorous policies and measures. China aims to have CO2 emissions peak before 2030 and achieve carbon neutrality before 2060. The current challenge and priority of China’s high-quality development is to ensure a harmonious balance between the ecological environment and the economy. The South-to-North Water Diversion Project passes through Beijing, Tianjin, Henan, and Hebei, which were chosen as the study sites. The carbon emission data was from the China Carbon Emission Database 2000–2019. Decoupling modeling using statistical yearbook data from four provinces and municipalities. KMO and Bartlett’s test used SPSS 27 software. The selection of indicators was based on relevance. Analyses were performed using the extended STIRPAT model and ridge regression. Moreover, projections of carbon peaks in the study area for 2020–2035 under different rates of change were simulated by the scenario analysis method. The results show that: (1) The decoupling analysis of the four provinces and cities from 2000-2019 gradually shifts to strong decoupling; (2) Resident population, energy structure, and secondary industry as a proportion of GDP significantly impact carbon emissions; (3) From 2000–2035, Beijing and Henan experienced carbon peaks. The peak time in Beijing was 96.836 million tons in 2010. The peak time in Henan was 654.1004 million tons in 2011; (4) There was no peak in Hebei from 2000–2035.
6
Liu, Gengyuan, Zining Huang, Yuan Gao, Mingwan Wu, Chang Liu, Caocao Chen et Ginevra Virginia Lombardi. « A Study on Near Real-Time Carbon Emission of Roads in Urban Agglomeration of China to Improve Sustainable Development under the Impact of COVID-19 Pandemic ». Sustainability 14, no 1 (30 décembre 2021) : 385. http://dx.doi.org/10.3390/su14010385.
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In order to achieve the goal of carbon neutrality and explore the impact of COVID-19 on urban road carbon emission, this study applied and improved a near real-time road carbon emission estimation method for typical Chinese urban agglomeration to improve the rapid evaluation of sustainable development. As a result, we recorded the daily road carbon emission for 12 cities in the Beijing–Tianjin–Hebei (JJJ) region under the impact of the epidemic, exploring the road carbon reduction effect caused by COVID-19. Singular value decomposition method was used to analyze the temporal and spatial characteristics of road carbon emission changes among cities and to explore the urban resilience oriented to public events. The results show: (1) In the JJJ region, the carbon reduction effect caused by COVID-19 is significant, but it lasted for a short time. In the three periods—before the epidemic, strict lockdown period, and post-lockdown period for prevention and control—the total daily road carbon emissions in the 12 cities were 170,000–190,000 tons, 90,000–110,000 tons, and 160,000–180,000 tons, respectively. (2) Cities in the JJJ region showed different road carbon reduction potential under short-term administrative control. During the “strict lockdown period” (23 January–25 February 2020), the average change rate of road carbon emissions in Beijing was −78.72%, which had great potential for reduction. However, the average change rates of Xingtai and Zhangjiakou were only −7.53% and −8.66%, respectively. (3) There are spatiotemporal differences in carbon emissions of urban roads in the JJJ region under the impact of the epidemic. During the gradual reduction of COVID-19 restrictions, great differences between cities on weekends and holidays arise, showing the road carbon emissions in Beijing on weekends and holidays are far lower than that in other cities. (4) In the face of public emergencies, the larger the city is and the more complex the function of the city is, the more difficult for the city is to maintain a steady state. This study not only provides an idea for the dynamic monitoring of urban carbon emissions to improve the rapid evaluation of urban sustainable development in post- and pre-lockdown but also fills the gap in the research on the differences in the response of cities to sudden security incidents from the perspective of road carbon emissions.
7
Philippov, Vasiliy Rudolfovich. « Paris vs. Beijing : Confrontation on the African Continent ». Vestnik RUDN. International Relations 20, no 1 (15 décembre 2020) : 84–96. http://dx.doi.org/10.22363/2313-0660-2020-20-1-84-96.
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The subject of this study is the competitive relations in the political and economic spheres that have developed on the African continent in the 21st century between the French Republic and the People’s Republic of China. The author focuses on the main conflict-generating factors that caused the latent confrontation between the two countries that arose in the face of a changing geopolitical situation in the world in general and in Africa in particular. The methodological basis of this study is the comparative historical method; the work is based on the principles of historicism, reliability and scientific objectivity. Using the method of historical reconstruction allowed the author to trace the dynamics of relations between France and China over the past two decades. The work is based on the study of factual historical material, a chronicle of the events of the last decade; analytical materials published on the pages of French and Russian mass media were used. The author concludes that the basis of the conflict between Paris and Beijing lies in the desire of the Champs Elysees not only to preserve the political, economic and military-strategic preferences of France in the countries that were formerly colonies of the French Empire, but also to protect French interests in the English-speaking countries of East Africa. The rapid growth of China’s influence on the African continent, the ever more obvious expansion of the Heavenly Empire into the economies of African countries, forces France to change the paradigm of its foreign policy. If the predecessors of E. Macron, denying in words the policy of “Françafrique”, relied on the use of military force and covert operations of the French security services then the current head of the Fifth Republic in his relations with African countries prefers to use his resources on “soft power” politics. The experience gained by E. Macron during his first (not very successful) African tour in 2017 prompted him to change the tone of communication with the leaders of African countries from patronically arrogant to friendly and trusting.
8
Meng, Fandi, Zhi Zhou et Pengtao Zhang. « Multi-Objective Optimization of Land Use in the Beijing–Tianjin–Hebei Region of China Based on the GMOP-PLUS Coupling Model ». Sustainability 15, no 5 (22 février 2023) : 3977. http://dx.doi.org/10.3390/su15053977.
Texte intégralRésumé :
The changeable patterns and contractions of land use have become increasingly significant in recent years as the economy and society have rapidly developed. Subsequently, land use change simulation has become a focal point in the study of land use patterns and change processes. Four development scenarios in 2030, including business-as-usual, ecological protection, economic development, and sustainable development scenarios, are proposed to realize the sustainable development of land use in Beijing–Tianjin–Hebei in the context of a low-carbon economy and ecological security. Then, a feasible multi-objective land use optimization scheme suitable for the region’s long-term development was identified through comparative analysis. The GMOP-PLUS model analyzed changes in ecological and economic benefits and carbon emissions by optimizing the quantitative structure and spatial layout of land use in different scenarios. The cultivated land area in the four scenarios decreased, while the construction land area increased for all scenarios other than the ecological protection and sustainable development scenarios. Moreover, the target development of the sustainable development scenario was the most balanced, with carbon emissions and economic benefits reduced by 49.77 million tons and CNY 0.73 billion compared with the business-as-usual scenario, respectively. Meanwhile, the ecological benefits increased by CNY 0.03 billion, and the economic benefits increased by 1.54 times compared with those in 2020. Therefore, the sustainable development scenario was more in line with the needs of Beijing, Tianjin, and Hebei for high-quality economic and ecological development, aiming towards a low-carbon goal. This work provides a theoretical basis for Beijing–Tianjin–Hebei territorial spatial planning and more perspectives for the study of sustainable land use through the obtained results.
9
Liu, Caixia, Rui Xu, Kaiji Xu, Yiwen Lin et Yingui Cao. « Carbon Emission Effects of Land Use in Chaobai River Region of Beijing–Tianjin–Hebei, China ». Land 12, no 6 (1 juin 2023) : 1168. http://dx.doi.org/10.3390/land12061168.
Texte intégralRésumé :
Beijing–Tianjin–Hebei, the main economic area in northern China, has seen significant changes in its regional economic and physical landscape as a result of the coordinated development strategy. Assessing the link between land use and land cover (LULC) change and carbon emissions in the Chaobai River region, which represents the growth of the Beijing–Tianjin–Hebei urban agglomeration, is crucial to achieve coordinated low-carbon development in this area. This study uses statistics from statistical yearbooks of Chinese provinces and cities along with land use change data to analyze the relationship between land use changes and carbon emissions in the Chaobai River region from 2001 to 2017 using dynamic land use attitudes and land use transfer matrices, combined with carbon emission factors based on the IPCC inventory method and carbon emission models for energy consumption. In addition, this study makes use of the LMDI model and geographical detectors to identify and assess the factors that influence changes in land use carbon emissions and the driving forces behind the regional differentiation of land use changes. The results show that: (1) The Chaobai River region’s predominant land use classes during the past 18 years have been agricultural land and construction land. In addition to the decrease in cropland and the increase in urban land, the land use patterns of other land classes also changed to a certain extent. (2) Carbon emissions from land use showed an increasing trend, from 6.1 × 106 tons in 2001 to 1.1 × 107 tons in 2017. (3) Carbon emission intensity, economic development level, land use efficiency, and construction land scale have a certain regularity in the evolution of carbon emissions, and economic development level has become the most important driving factor controlling the growth of land use carbon emissions. (4) Driving factors in different periods have different degrees of influence on land use change, among which socio-economic factors such as population density and GDP have the strongest explanatory power. In addition, the interactions of each factor mainly present a double factor enhancement. In the future, the Chaobai River region should be based on the coordinated development strategy and take the “double carbon” target as its guiding principle to promote the innovation of the regional development system and further achieve the optimization of the regional land use patterns.
10
Xu, Qiurong, Ruipeng Li, Jia Yu et Pei Zhang. « Synergies and Trade-Offs among Different Ecosystem Services through the Analyses of Spatio-Temporal Changes in Beijing, China ». Land 12, no 5 (3 mai 2023) : 1000. http://dx.doi.org/10.3390/land12051000.
Texte intégralRésumé :
Increasing global urbanization has not only resulted in economic development but it has also caused a number of ecological issues, such as haze, global warming, and storm surges, which can end up hindering the development of human society in the long term. One method of maintaining the long-term growth of human ecosystems is by considering ecosystem services (ES) when making decisions over land use. This study provides information to aid with decision making in the maintenance of Beijing’s ES provision in the long term. Firstly, three key ES, namely, carbon storage (CS), habitat quality (HQ), and water yield (WY), were evaluated by the InVEST model. Then, the spatial patterns of synergies and trade-offs among three ES at the city and grid scales were explored through the correlation coefficients analysis and geographically weighted regression (GWR). Finally, the strength of trade-offs among ES was calculated based on root mean squared error (RMSE), and the potential ecological risk areas are recognized. We discovered that (1) the total carbon storage decreases from 3.74 million tons in 2000 to 3.66 million tons in 2020, and HQ has the same trend, with its average value decreasing from 0.72 to 0.67; in contrast, water yield is more stable, increasing slightly from 8.22 × 1010 m3 in 2000 to 8.23 × 1010 m3 in 2020. (2) The synergies and trade-offs of ES are spatially heterogeneous. Among them, the correlation coefficients at the city-level indicated synergistic relationships among the three ES, but CS-WY and WY-HQ always have trade-off relationships at the grid level, where 37.88% of WY-HQ and 14.59% of CS-WY were trade-offs in 2020. (3) At the urban-rural interface, the trade-offs among ES are stronger than those in other regions. In rural-urban areas, the RMSE in CS-HQ, CS-WY and WY-HQ always had high values (>0.5), accounting for 16.72%, 9.33%, and 26.94% of the entire area, respectively; these areas are identified as potential ecological risk areas, which will be the focus area for future ES regulation. These findings provide opportunities for clear trade-offs among ES and promote positive synergies. In addition, land-use management may use the results to guide ecosystem service use, identify critical areas, and ensure regional sustainability in urban development.
Livres sur le sujet "Beijing tong chang"
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Yuan yuan liu chang hua hu tong : Beijing hu tong de qi yuan ji hu tong wen hua yan jiu. Beijing : Zhongguo huan jing ke xue chu ban she, 2009.
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Di 29 jie Aolinpike yun dong hui zu zhi wei yuan hui., dir. Beijing Ao yun hui chang guan yun xing tong yong zhi shi du ben. Beijing : Beijing ti yu da xue chu ban she, 2007.
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Di 29 jie Aolinpike yun dong hui zu zhi wei yuan hui., dir. Beijing Ao yun hui chang guan yun xing tong yong zhi shi du ben. Beijing : Beijing ti yu da xue chu ban she, 2007.
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Feng, Xiaoying. You cheng xiang fen zhi zou xiang tong chou gong zhi : Zhongguo cheng xiang jie he bu guan li zhi du chang xin yan jiu : yi Beijing wei li. 8e éd. Beijing Shi : Zhongguo nong ye chu ban she, 2007.
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Zhongguo gong chan dang. Zhong yang tong yi zhan xian gong zuo bu. Yan jiu shi., dir. Quan guo tong zhan gong quo hui yi jing shen xue xi wen da. 8e éd. Beijing : Hua wen chu ban she, 2001.
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Beijing Shi fei chuan tong lü you zi yuan yu chan ye cheng chang yan jiu. Beijing Shi : Lü you jiao yu chu ban she, 2009.
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Chang yi Weiming Hu : Beijing da xue Zhong wen xi 1957 ji tong xue hui yi lu. Beijing Shi : Beijing da xue chu ban she, 2015.
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Cong "Tong Huaizhou" dao shen Jiang Qing. Beijing : Zhongguo qing nian chu ban she, 2012.
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