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    Spatial and Temporal Variation Characteristics of Forests and Analysis of Potential for Reconstruction of Water Conservation Forests in the Dongjiang River Basin from 1980 to 2020 by DAI Miaolin, LU Xiaoqi, ZANG Chuanfu, ZHU Ke, QIU Xintong, LUO Yiwen, ZHANG Weiqiang, GAN Xianhua

    Published 2023-01-01
    “…The Dongjiang River is the most important water source area in the Guangdong-Hong Kong-Macao Greater Bay Area,supplying water for the three mega-cities of Hong Kong,Shenzhen,and Guangzhou.The Dongjiang River Basin has abundant light and heat resources and sufficient rainfall,and it is one of the regions with the highest forest coverage rate in China.Since 1980,the land cover,especially the forest with the largest proportion in the Dongjiang River Basin,has changed significantly in the Dongjiang River Basin under the influence of natural factors,policy,and economic development.Therefore,how to scientifically plan and design afforestation projects and transform water conservation forests according to potential has become a hot social issue.The study was based on 30 m resolution land use and soil data of the Dongjiang River Basin from 1980 to 2020,and it combined with the data of Dongjiang River Source station and socio-economic index data.The study used spatial analysis and factor analysis to explore the spatial-temporal changes and driving mechanisms of forest cover in the Dongjiang River Basin from 1980 to 2020 and analyze the potential of water conservation forest reconstruction in the future.① From 1980 to 2020,the forest decreased continuously in the Dongjiang River Basin,with a total reduction of 998.81 km<sup>2</sup>.The changes were mainly concentrated in the south and north of the Dongjiang River Basin.In the northern part of the basin,a great deal of forest has been transformed into farmland,while in the southern part of the basin,a great deal of forest has been transformed into cities and countrysides or areas for industry,mining,and housing.② In the period of 1980—2020,the main factors affecting the change of forest area were the number of permanent residents,population density,GDP,output value of secondary and tertiary industries,output value of industry,agriculture,and forestry,total retail sales of social consumer goods,investment in fixed assets,and urban registered unemployment rate.③ The area for future reconstruction in the Dongjiang River Basin was 5 365 km<sup>2</sup>.The areas with high potential for reconstruction were mainly in the north and southeast parts of the basin.In the past 40 years,the forest area of the Dongjiang River Basin has continued to decrease and is strongly influenced by human activities.Water conservation forest has great potential to be transformed.…”
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  10. 2410

    Prognostic Value of Inflammatory and Nutritional Indicators in Non-Metastatic Soft Tissue Sarcomas by Yan Y, Zhang Y, Chen Y, Zhong G, Huang W, Zhang Y

    Published 2025-02-01
    “…Yuan Yan,1– 3,&ast; Yunhui Zhang,1– 3,&ast; Yonghan Chen,1– 3,&ast; Guoqing Zhong,2,3 Wenhan Huang,2,3 Yu Zhang1– 3 1School of Medicine, South China University of Technology, Guangzhou, Guangdong, People’s Republic of China; 2Department of Orthopaedics Oncology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, People’s Republic of China; 3School of Materials Science and Engineering (National Engineering Research Center for Tissue Restoration and Reconstruction), South China University of Technology, Guangzhou, Guangdong, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Yu Zhang; Wenhan Huang, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Zhongshan 2nd Road, Guangzhou, Guangdong, People’s Republic of China, Email luck_2001@126.com; wenhanx@126.comBackground: Soft tissue sarcoma (STS) has lacked reliable prognostic indicators. …”
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    Prediction model for economy-driven provincial natural gas load in China by Xueping DU, Zhikai LANG, Menglin LIU, Jiangtao WU

    Published 2023-10-01
    “…Under the scenario of a compound GDP growth rate of 5%, the total demand for natural gas in the ten provinces (municipalities directly under the Central Government) will reach 3 155×108 m3 in 2030, which is 2.5 times that of 2021. Among them, Guangdong Province and Hunan Province have the largest absolute increase and the highest growth rate of consumption, respectively. …”
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    Human Health, Ecosystem Quality, and Resource Scarcity Burdens Inflicted by Livestock Production Across Chinese Regions by Yixuan Shao, Qilin Cao, Junnian Song, Jiahao Xing, You Wu, Cheng Sun, Pan He, Wei Yang

    Published 2025-01-01
    “…Whereas regions with the largest export (Inner Mongolia, 3.87 × 104 DALY for health burdens) or import (Guangdong, 3.92 × 104 DALY for health burdens) do not necessarily bear greatest burdens. …”
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