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    Downscaling of Precipitation for Climate Change Projections Using Multiple Machine Learning Techniques: Case Study of Shenzhen City, China 

    Source: Journal of Water Resources Planning and Management:;2022:;Volume ( 148 ):;issue: 011:;page 05022008
    Author(s): Jing-Cheng Han; Wenting Zheng; Zhe Liu; Yang Zhou; Yuefei Huang; Bing Li
    Publisher: ASCE
    Abstract: To examine the characteristics of future precipitation under climate change is of great significance to urban water security. In this paper, multiple machine learning techniques, i.e., statistical downscaling model ...
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    Spongy Crosslinked Branched Polyethylenimine-Grafted Dithiocarbamate: Highly Efficient Heavy Metal Ion–Adsorbing Material 

    Source: Journal of Environmental Engineering:;2020:;Volume ( 146 ):;issue: 002
    Author(s): Qingle Zeng; Shaozhong Hu; Wenting Zheng; Ze He; Lihong Zhou; Yi Huang
    Publisher: ASCE
    Abstract: To remove heavy metals from polluted water efficiently and cost-effectively is a big challenge. This paper reports on a spongy crosslinked branched polyethylenimine-grafted dithiocarbamate (CBP-G-D) adsorbing material, ...
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