Showing 1 - 20 results of 147 for search '"Liaoning Province"', query time: 0.05s Refine Results
  1. 1

    Spatial-Temporal Variation of Population Aging: A Case Study of China’s Liaoning Province by Dunyi Guan, Lei Lei, Zenglin Han

    Published 2020-01-01
    “…Based on China’s census data from 1990 to 2010, this study establishes the indicator system of aging level and chooses the entropy method, standard deviational ellipse, and spatial autocorrelation as main methods. Taking Liaoning province of China as an example, the study measures the aging level of its 100 districts and counties, analyzing the overall spatial movement degree, and elucidates the temporal-spatial evolution of aging development. …”
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  2. 2

    Research on Urban Expansion and Population Density Change of an Urban Agglomeration in the Central-Southern Region of Liaoning Province, China by Min Guo, Shijun Wang

    Published 2022-01-01
    “…Ten cities located in the central-southern region of Liaoning province are selected as research samples in this study. …”
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  3. 3

    Distribution characteristics and pollution assessment of heavy metals in typical black soil profiles of Haicheng city, Liaoning province, China. by Ziqi Li, Cang Gong, Xiaojun Ai, Xiaohuang Liu, Xiaofeng Zhao, Jiufen Liu

    Published 2025-01-01
    “…In order to understand the spatial distribution, influencing factors, pollution level and sources of heavy metals in black soil profiles in Northeast China, black soil profile samples were collected from five sampling points in Haicheng City, Liaoning Province, with the deepest profile depth of 50m. …”
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  4. 4

    Establishment of wetland conservation networks in response to climate change and anthropogenic activities: A case study from the Liaohe River Basin in Liaoning Province, China by Kexin Chen, Shuxiu Liang, Pifu Cong, Zhaochen Sun

    Published 2025-02-01
    “…This study combined the species conservation planning model and ecological network model to create a future-oriented wetland conservation network for the Liaohe River Basin in Liaoning Province, China. The approach incorporated multi-dimensional factors, including climate change and anthropogenic activities (multi-process) as well as structural and functional aspects of wetlands (multi-level), to anticipate future challenges. …”
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