Showing 41 - 60 results of 61 for search '"Zhangjiakou"', query time: 0.05s Refine Results
  1. 41

    Prediction of Farmers’ Income in Hebei Province Based on the Fractional Grey Model (1,1) by Yongqiang Xu, Lim Thien Sang, Kun Wang

    Published 2021-01-01
    “…The area with the highest trend in the growth rate of farmers’ income is Zhangjiakou and the lowest place is Handan. Only Shijiazhuang’s income growth rate is on the rise. …”
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    Cumulative damage characteristics of tunnel initial support concrete under blasting load by Yan Zhao, Zhuang Zhang, Lijie Ge, Lingling Xu, Huadong Zhao, Mingzan Yu

    Published 2025-01-01
    “…Abstract Relying on the Beijing-Zhangjiakou high-speed railway Cao Mao Shan tunnel project, blasting vibration monitoring and sound wave testing experiments were carried out. …”
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  6. 46

    Spatial-Temporal Evolution Characteristics and Influencing Factors of Vegetation NDVI in Hebei Province by LIAN Xi, CHENG Yao, YUAN Jidong, YUAN Zeshen

    Published 2024-01-01
    “…In order to explore the vegetation growth status and influencing factors,Hebei Province is taken as the research area.Based on satellite remote sensing data and meteorological data,the Mann-Kendall trend test,Sen slope,and partial correlation analysis are used to explore the temporal and spatial distribution characteristics of vegetation in Hebei Province,and the influencing factors of vegetation NDVI change in Hebei Province are analyzed by combining the correlation among NDVI,climatic factors,and human activities.The results show that ① the NDVI value of vegetation in Hebei Province from 2001 to 2020 shows an overall growth trend,with an average annual growth rate of 2.84×10<sup>-3</sup>.Specifically,it shows a rapid growth trend from 2001 to 2005 and a slow growth trend from 2005 to 2020, with fluctuations.②The NDVI value of vegetation in the study area increases gradually from south to north,and the vegetation improvement area (81.71%) is greater than that in the degraded area (13.79%),and the improvement area is mainly concentrated in Chengde and Zhangjiakou City.③Human activities (GDP) are one of the main influencing factors affecting the growth of NDVI,followed by climatic factors (precipitation and temperature).The change in GDP has a significant impact on vegetation growth,and the improvement of vegetation in Hebei Province is mainly related to forest land and grassland.Among the climatic factors,precipitation is the main influencing factor.…”
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    Application of 3D Laser Scanning in Underground Station Cavity Clusters by Li Pinpin, Qiu Wenge, Cheng Yunjian, Lu Feng

    Published 2021-01-01
    “…Based on the Badaling Tunnel Great Wall underground station of the Beijing-Zhangjiakou Railway, the 3D laser scanning technology is used to analyze the distribution of the tunnel overbreak and underbreak and the sectional area of the primary support, compared with the total station measurement results. …”
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    Pollution Characteristics and Key Reactive Species of Volatile Organic Compounds in Beijing-Tianjin-Hebei Area, China by Yanan Guan, Yihao Zhang, Yisen Zhang, Xiaoli Wang, Jing Han, Wenbo Song, Li’an Hou, Erhong Duan

    Published 2020-05-01
    “…., Chengde (CD) and Zhangjiakou (ZJK). In all of the cities, alkanes were the most abundant VOC component (50%), whereas ethane and propane were the most concentrated species. …”
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    Relationship between four healthy lifestyle factors and all-cause and cardiovascular disease mortality among residents aged 35 – 75 years in Hebei province by Yuhuan LIU, Lijuan TANG, Xiaoying LU, Jingjing ZHAO, Yajing CAO, Xiaoli LIU, Dongsheng JIANG

    Published 2024-12-01
    “…MethodsData were collected from 48 377 residents aged 35 – 75 years in 11 districts and counties of Hebei province (Daming county, Handan city; Qinghe county, Xingtai city; Xuanhua district, Zhangjiakou city; Yuhua district, Shijiazhuang city; Chengde county, Chengde city; Sanhe city, Langfang city; Quyang county, Baoding city; Huanghua city, Cangzhou city; Shenzhou city, Hengshui city; Zunhua city, Tangshan city; and Funing district, Qinhuangdao city) who participated in the National Early Screening and Comprehensive Intervention Program for High-Risk Populations of CVD from September 2016 to December 2022. …”
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