Výsledky vyhledávání

Akademický článek

Identification of agricultural surface source pollution in plain river network areas based on 3D-EEMs and convolutional neural networks

Autor: Juan Huan, Jialong Yuan, Hao Zhang, Xiangen Xu, Bing Shi, Yongchun Zheng, Xincheng Li, Chen Zhang, Qucheng Hu, Yixiong Fan, Jiapeng Lv, Liwan Zhou

Publikováno v: Water Science and Technology, Vol 89, Iss 8, Pp 1961-1980 (2024)

Agricultural non-point sources, as major sources of organic pollution, continue to flow into the river network area of the Jiangnan Plain, posing a serious threat to the quality of water bodies, the ecological environment, and human health. Therefore

Externí odkaz: https://doaj.org/article/53614612ba9d447395fa4a28c3254f4d

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Akademický článek

Model evaluation of total phosphorus prediction based on model accuracy and interpretability for the surface water in the river network of the Jiangnan Plain, China

Autor: Hao Zhang, Juan Huan, Xiangen Xu, Bing Shi, Yongchun Zheng, Weijia Mao, Jiapeng Lv

Publikováno v: Water Science and Technology, Vol 88, Iss 8, Pp 2108-2120 (2023)

Due to climatic and hydrological changes and human activities, eutrophication and frequent outbreaks of cyanobacteria are prominent in the Jiangnan Plain basin of China. Therefore, building a suitable model to accurately predict the phosphorus concen

Externí odkaz: https://doaj.org/article/e140fb527b7d4ea9827ede81ece313f9

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Akademický článek

Growth prediction of Microcystis aeruginosa based on a secondary decomposition integration model

Autor: Juan Huan, Beier Yang, Mingbao Li, Hao Zhang, Wendi Sun, Bing Shi

Publikováno v: Water Science and Technology, Vol 88, Iss 4, Pp 829-850 (2023)

Microcystis aeruginosa is the dominant species in the blooms of eutrophic lakes such as Taihu Lake in China. Chlorophyll-a is one of the most common indicators to characterize its biomass. The nonlinearity and unsteadiness of the chlorophyll-a sequen

Externí odkaz: https://doaj.org/article/d32e1537752349129e75294e91e76a05

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Akademický článek

A deep learning model with spatio-temporal graph convolutional networks for river water quality prediction

Autor: Juan Huan, Wenjie Liao, Yongchun Zheng, Xiangen Xu, Hao Zhang, Bing Shi

Publikováno v: Water Supply, Vol 23, Iss 7, Pp 2940-2957 (2023)

High-precision water quality prediction plays a vital role in preventing and controlling river pollution. However, river water's highly nonlinear and complex spatio-temporal dependencies pose significant challenges to water quality prediction tasks.

Externí odkaz: https://doaj.org/article/c51c69a7521f45a381c9a6203b625bdf

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Akademický článek

Multi-step prediction of dissolved oxygen in rivers based on random forest missing value imputation and attention mechanism coupled with recurrent neural network

Autor: Juan Huan, Mingbao Li, Xiangen Xu, Hao Zhang, Beier Yang, Jiang Jianming, Bing Shi

Publikováno v: Water Supply, Vol 22, Iss 5, Pp 5480-5493 (2022)

Accurately predicting dissolved oxygen is of great significance to the intelligent management and control of river water quality. However, due to the interference of external factors and the irregularity of its changes, this is still a ticklish probl

Externí odkaz: https://doaj.org/article/5bba59cd8ffe40bba8269d65566ab033

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Akademický článek

Trusted Opportunistic Routing Based on Node Trust Model

Autor: Bing Su, Chenhui Du, Juan Huan

Publikováno v: IEEE Access, Vol 8, Pp 163077-163090 (2020)

In vehicular ad hoc networks, opportunistic routing can effectively improve the reliability and throughput. However, opportunistic routing also has security issues. For example, malicious nodes can easily mix into node candidate sets, which can inter

Externí odkaz: https://doaj.org/article/b5658b8f194340ea9747cedb91c4eb66

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Akademický článek

High incidence of multi-drug resistance and heterogeneity of mobile genetic elements in Escherichia coli isolates from diseased ducks in Sichuan province of China

Autor: Shaqiu Zhang, Shuling Chen, Muhammad Abbas, Mingshu Wang, Renyong Jia, Shun Chen, Mafeng Liu, Dekang Zhu, Xinxin Zhao, Ying Wu, Qiao Yang, Juan Huan, Xumin Ou, Sai Mao, Qun Gao, Di Sun, Bin Tian, Anchun Cheng

Publikováno v: Ecotoxicology and Environmental Safety, Vol 222, Iss , Pp 112475- (2021)

Harmonious ecological environment is a major concern with rising feeding and consumption of ducks, as these waterfowl birds can promote the spread of antibiotic resistant genes (ARGs). Therefore, this study was conducted to know diversity of antimicr

Externí odkaz: https://doaj.org/article/0c6a430dade447e6a632a3401adb97f2

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Akademický článek

Distribution and association of antimicrobial resistance and virulence traits in Escherichia coli isolates from healthy waterfowls in Hainan, China

Publikováno v: Ecotoxicology and Environmental Safety, Vol 220, Iss , Pp 112317- (2021)

There are rising concerns about microbes harboring antibiotic resistance genes (ARGs) and virulence-associated genes (VAGs) in humans and food-producing animals. Moreover, ARGs are considered as emerging environmental pollutants, posing probable life

Externí odkaz: https://doaj.org/article/7c93ba39a5034bfa89aedb49931fbe62

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