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  1. 401

    Vegetation Activity Trend and Its Relationship with Climate Change in the Three Gorges Area, China by Guifeng Han, Yongchuan Yang, Shuiyu Yan

    Published 2013-01-01
    “…Vegetation activity presents a distinctive uptrend during the study period, especially in Fengjie, Yunyang, Wushan, Wuxi, and Badong counties located in the midstream of the Three Gorges Reservoir. …”
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    Precipitation Concentration in Highly Urbanized Regions — Case Study of Yangtze River Delta Urban Agglomeration by LIN Zequn, WANG Dayang, ZHANG Zhi, WANG Dagang

    Published 2024-01-01
    “…The Theil-Sen Median slope estimation and Mann-Kendall significance test are utilized for trend analysis,and a correlation analysis is employed to explore the relationship between urbanization levels and precipitation concentration.The results show that:① the root mean square error between the GI calculated from climate hazards Group infrared precipitation with station data (CHIRPS) and the station data results is 0.036,significantly lower than the results from CMFD data (0.067) and MSWEP data (0.083),which indicates that CHIRPS data demonstrates optimal applicability.② The unevenness of precipitation in the Yangtze River Delta urban agglomeration gradually increases from south to north,with a significant increasing trend in the central and western parts of the agglomeration.The intra-annual distribution of precipitation in the study area has become more concentrated,leading to an increased likelihood of extreme precipitation events.③ Urbanization is likely to promote the concentration of precipitation.The rapid development of cities enhances precipitation unevenness,especially in areas such as Nanjing,Wuxi,and Zhenjiang,making them more susceptible to urban flooding and related disasters.The findings of this research have practical implications for urban flood control design,urban road drainage system planning,and the development of emergency response plans for urban flood control.…”
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    Evaluation of Public Welfare Level of Urban Rail Transit considering Operation Management by Ran Meng, Baohua Mao, Qi Xu, Yang Yang

    Published 2022-01-01
    “…The cities with a relatively high level of public welfare relative closeness exceeding 0.5 include Shanghai, Beijing, Shenzhen, Guangzhou, Suzhou, Wuhan, Nanjing, Wuxi, and Dalian. (3) Both GDP and urban population are positively correlated with the relative closeness of social benefit and service level. (4) The level of public welfare can be improved by reducing the fare price and improving the service level, such as increasing the network density, reducing the departure interval, and increasing the average speed.…”
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