Showing 1 - 16 results of 16 for search '"Yangtze River"', query time: 0.08s Refine Results
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    Lespedeza jianghuensis (Fabaceae), a new species from riparian meadows of Yangtze River basin, China by Song Huang, Mei-Qian Chen, Feng Song, Jia-Xiang Li, Bo Pan, Hui-Yi Zhong, Li-Qun Zhou, Ang Liu, Yu-Tao Zheng, Pan Zhao

    Published 2025-02-01
    “…Lespedeza jianghuensis (Fabaceae), from Yangtze River basin, China, is described and illustrated as a new species. …”
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    Optimization and potential assessment of CO2 geological storage caprock in the saline aquifers of the Qingjiang Basin, middle and lower reaches of the Yangtze River by Yuchen Tian, Shiqi Liu, Sijian Zheng, Shuxun Sang, Yinghai Liu, Shiheng Chen, Helong Zhang, Yanzhi Liu, Yuntian Jiang, Zekun Yue, Wenkai Wang

    Published 2025-04-01
    “…The research outcomes can provide theoretical support for advancing the study of CO2 saline aquifer storage in the lower reaches of the Yangtze River region in China.…”
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    Characteristics and Influencing Factors of Soil CH4 and N2O Fluxes in Typical Broad-leaved Forests in the Yangtze River Delta Region, China by JIA Qinqi, XU Fei, CHEN Bingjiang, LU Yanran, CHEN Lihan, HU Jiahao, GUO Na, FANG Shuangxi

    Published 2024-12-01
    “…[Objective] The forest coverage rate in the Yangtze River Delta region reaches 33.4%, and the underlying surface soil may have an important impact on the regional greenhouse gas budget. …”
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    Construction of Quality Index System and Screening of Characteristic Index of Rice for Different Uses by Cuiling ZHU, Shengyang JI, Yanjun LIU, Huaxin SONG, Yafang SHAO, Baiyi LU

    Published 2025-02-01
    “…The dominant producing areas of rice for fermentation products were the southeast coastal areas (Zhejiang) and the Yangtze River basin (Jiangxi, Hunan), high-quality varieties were Zhongzao 39, Zhongzao 33, and Xiangzao Xian 45, and the characteristic quality indexes were the amylose content, saccharification property and reducing sugar content. …”
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    Characteristics of Land Use Change and Evaluation of Ecological Sensitivity in Chongqing by XIE Xianjian, GOU Qiantao, WU Han

    Published 2024-12-01
    “…[Objective] Chongqing, as the economic center of the upper reaches of the Yangtze River in China and a barrier to ensure ecological security in the middle and lower reaches of the Yangtze River, is a typical ecological functional and fragile area in China. …”
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    Comparison of Satellite-based PM2.5 Estimation from Aerosol Optical Depth and Top-of-atmosphere Reflectance by Heming Bai, Zhi Zheng, Yuanpeng Zhang, He Huang, Li Wang

    Published 2020-10-01
    “…In this study, satellite observations of TOA reflectance and AOD from the Advanced Himawari Imager (AHI) onboard the Himawari-8 geostationary satellite in 2016 over Yangtze River Delta (YRD) and meteorological data are used to estimate hourly PM2.5 based on four different machine learning algorithms (i.e., random forest, extreme gradient boosting, gradient boosting regression, and support vector regression). …”
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    Sources analysis and risk assessment of heavy metals in soil in a polymetallic mining area in southeastern Hubei based on Monte Carlo simulation by Jing Wang, Bo Wang, Qibin Zhao, Jinnan Cao, Xiao Xiao, Di Zhao, Zhenya Chen, Di Wu

    Published 2025-01-01
    “…This study investigates the pollution characteristics, spatial patterns, causes, and ecological risks of heavy metals in the soils of the southeastern Hubei polymetallic mining areas, specifically the Jilongshan (JLS) and Tonglushan (TLS) regions, located in the middle and lower reaches of the Yangtze River. The main findings are as follows: (1) Among the heavy metals present in the soil, copper (Cu) has the highest average concentration at 278.54 mg/kg, followed by zinc (Zn) at 161.16 mg/kg, chromium (Cr) at 75.23 mg/kg, nickel (Ni) at 30.38 mg/kg, arsenic (As) at 22.53 mg/kg, cadmium (Cd) at 0.76 mg/kg, and mercury (Hg) at 0.14 mg/kg; (2) The distribution of heavy metal concentrations exhibits significant regional variations, with the spatial pattern of pollution indicating that TLS is more affected than JLS, as evidenced by the Pollution Load Index (PLI) values; (3) Three potential sources of heavy metals were identified: natural sources, anthropogenic activities (including industrial production and agricultural practices), and atmospheric deposition (both dry and wet); (4) While severe contamination levels of specific metals such as copper and cadmium are observed in JLS and TLS soils, the overall contamination is mild, suggesting complex contamination dynamics; (5) Cadmium poses a moderate to high ecological risk, being the most sensitive factor in the comprehensive ecological risk assessment with a contribution rate of 65.2 %; (6) The concentrations of heavy metals in the soil present certain health risks, with children being more vulnerable than adults. …”
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