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  1. Article ; Online: CoGT

    Yingzi Bu / Ruoxi Gao / Bohan Zhang / Luchen Zhang / Duxin Sun

    ACS Omega, Vol 8, Iss 14, Pp 13232-

    Ensemble Machine Learning Method and Its Application on JAK Inhibitor Discovery

    2023  Volume 13242

    Keywords Chemistry ; QD1-999
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher American Chemical Society
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Quantifying the streamflow change and influencing factors with a spatio-temporal coupling analysis framework

    Zehui Zhou / Lei Yu / Xiufeng Wu / Luchen Zhang / Shaoze Luo / Yu Zhang / Bin Yong / Junqi Sheng

    Journal of Water and Climate Change, Vol 14, Iss 5, Pp 1482-

    2023  Volume 1496

    Abstract: Streamflow change and its influencing factors are synchronous and correlated in temporal and spatial scales. The aim of this study is to develop a spatio-temporal coupling analysis framework for quantifying streamflow change and its influencing factors ... ...

    Abstract Streamflow change and its influencing factors are synchronous and correlated in temporal and spatial scales. The aim of this study is to develop a spatio-temporal coupling analysis framework for quantifying streamflow change and its influencing factors was established. Specifically, the Mann–Kendall test, Pettitt's test, hierarchical cluster analysis, and Ripley's L-function were jointly used to study the spatial heterogeneity of the temporal evolution of streamflow; and the Soil and Water Assessment Tool (SWAT) model was employed to quantify the impacts of climate and human activities on streamflow change. The preliminary application in the Dawen River Basin (China) case has shown that (1) the natural streamflow change in the basin during 1953–2013 is mainly affected by climate change–human activities, followed by climate change and human activities, accounting for a total area of 52.04, 24.90, and 23.06%, respectively; and (2) the vast majority of sub-basins with relatively large natural streamflow change are mainly driven by climate change (i.e., precipitation). In general, the proposed framework can effectively reflect the spatio-temporal patterns of streamflow change and its influencing factors, which can provide a theoretical basis for water resources management in the context of global change. HIGHLIGHTS Developing a spatio-temporal coupling analysis framework for quantifying streamflow and its influencing factors.; Quantifying the contribution of drivers to the streamflow change on the sub-basin scale.; Streamflow change and their spatial patterns in the DRB are mainly driven by climate change–human activities.; The vast majority of sub-basins with relatively large streamflow change are mainly driven by climate change.;
    Keywords climate change ; human activities ; spatio-temporal coupling analysis ; streamflow change ; swat model ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350
    Subject code 550
    Language English
    Publishing date 2023-05-01T00:00:00Z
    Publisher IWA Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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