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Mingyu Xie, Xiaoran Zhang, Yuanyuan Jing, Xinyue Du, Ziyang Zhang and Chaohong Tan
Groundwater is an important part of the water resources, crucial for human production and life. With the rapid development of industry and agriculture, organic pollution of groundwater has attracted great attention. Enhanced in-situ bioremediation of gro...
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Xiaorong Wang, Boyue Liu, Shaolin He, Hongying Yuan, Dongli Ji, Ruolin Li, Yang Song, Wei Xu, Bo Liu and Yingjun Xu
To clarify the risk posed to groundwater in oil shale in situ mining areas, we examine five leached pollutants: Fe, Mn, Cr, sulfate, and ammonia nitrogen. Potential groundwater contents of these five pollutants were evaluated using an improved Nemero com...
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Yang Liu and Qianqian Zhang
Analyzing 165 data from five national control sites in Baiyangdian Lake, this study unveils its spatiotemporal pattern of water quality. Utilizing machine learning and multivariate statistical techniques, this study elucidates the effects of rainfall and...
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Maxim Kolomeets, Olga Tushkanova, Vasily Desnitsky, Lidia Vitkova and Andrey Chechulin
This paper aims to test the hypothesis that the quality of social media bot detection systems based on supervised machine learning may not be as accurate as researchers claim, given that bots have become increasingly sophisticated, making it difficult fo...
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Jinming Chen, Xiao Yang, Haiya Dao, Haowen Gu, Gang Chen, Changshu Mao, Shihan Bai, Shixiang Gu, Zuhao Zhou and Ziqi Yan
Water, soil, and heat are strategic supporting elements for human survival and social development. The degree of matching between human-land-water-heat elements directly influences the sustainable development of a region. However, the current evaluation ...
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