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学者姓名：高帅
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Abstract ：
Neural network models have been widely used in runoff forecasting, but are often criticized for their lack of physical interpretability. In this study, we present a simple but useful approach to developing hydrological models by designing neural networks based on the principles of runoff generation and concentration, which we refer to as a Hydrological Process-based Neural Network (HPNN) model. The Convolutional neural network (CNN) and softmax function are used because of their similar formula to the conventional runoff generation and unit hydrograph approach used in hydrology. We apply the HPNN model and four other benchmark models to forecast runoff in two catchments (Yutan and Chenda) in China. Results show that the HPNN model has higher computational efficiency, its parameters are interpretable and closely linked to the processes of runoff generation and concentration, and the HPNN model outperforms conventional GRU-based models.
Keyword ：
HPNN model HPNN model Neural network Neural network Physical interpretability Physical interpretability Runoff forecasting Runoff forecasting
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| GB/T 7714 | Gao, Shuai , Zhang, Shuo , Huang, Yuefei et al. A hydrological process-based neural network model for hourly runoff forecasting [J]. | ENVIRONMENTAL MODELLING & SOFTWARE , 2024 , 176 . |
| MLA | Gao, Shuai et al. "A hydrological process-based neural network model for hourly runoff forecasting" . | ENVIRONMENTAL MODELLING & SOFTWARE 176 (2024) . |
| APA | Gao, Shuai , Zhang, Shuo , Huang, Yuefei , Han, Jingcheng , Zhang, Ting , Wang, Guangqian . A hydrological process-based neural network model for hourly runoff forecasting . | ENVIRONMENTAL MODELLING & SOFTWARE , 2024 , 176 . |
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Abstract ：
The environmental issue of lead (Pb), cadmium (Cd), and tetracycline (TC) contamination in cereal crops has become a growing concern worldwide. An in-depth understanding of this issue would be of importance to promote effective management strategies for heavy metals and antibiotics worldwide. The present study was conducted to assess the toxic effects of heavy metals (Cd, Pb) and antibiotics (TC) on Triticum aestivum (T. aestivum, common wheat) based on studies conducted in the past 22 years. Data pertaining to the growth and development of T. aestivum were extracted and analyzed from 89 publications spanning from 2000 to 2022. Our results showed that Pb, Cd and TC significantly reduced growth and development by 11 %, 9 %, and 5 %, respectively. Additionally, significant accumulation of Cd (42 %) and Pb (17 %) was observed in T. aestivum samples, although there was little change in TC accumulation, which showed limited absorption, accumulation, and translocation of TC in wheat plants. Pb had the greatest impact on the yield of T. aestivum, followed by Cd, while TC had no apparent effect. Furthermore, exposure to Cd, Pb and TC reduced the photosynthetic rate due to chlorophyll reduction, with Cd having the most pronounced effect (58 %), followed by Pb (37 %) and TC (8 %). Cd exposure also significantly enhanced gaseous exchange (37 %) compared to TC and Pb, which reduced gaseous exchange by 4 % and 10 %, respectively. However, the treatments with TC (>50-100 mgL(-1)), Pb (>1000-2000 mg L-1) and Cd (>500-1000 mg L-1) increased the defense system of T. aestivum samples by 38 %, 15 %, and 11 %, respectively. The obtained findings have significant implications for risk assessment, pollution prevention, and remediation strategies to address soil contamination from Pb, Cd and TC in farmland.
Keyword ：
Antioxidative enzymes Antioxidative enzymes Cadmium toxicity Cadmium toxicity Lead toxicity Lead toxicity Oxidative stress Oxidative stress Physio-chemical attributes Physio-chemical attributes Tetracycline toxicity Tetracycline toxicity Wheat plants Wheat plants
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| GB/T 7714 | Rahman, Shafeeq Ur , Han, Jing-Cheng , Ahmad, Muhammad et al. Toxic effects of lead (Pb), cadmium (Cd) and tetracycline (TC) on the growth and development of Triticum aestivum: A meta-analysis [J]. | SCIENCE OF THE TOTAL ENVIRONMENT , 2023 , 904 . |
| MLA | Rahman, Shafeeq Ur et al. "Toxic effects of lead (Pb), cadmium (Cd) and tetracycline (TC) on the growth and development of Triticum aestivum: A meta-analysis" . | SCIENCE OF THE TOTAL ENVIRONMENT 904 (2023) . |
| APA | Rahman, Shafeeq Ur , Han, Jing-Cheng , Ahmad, Muhammad , Gao, Shuai , Khan, Khalid Ali , Li, Bing et al. Toxic effects of lead (Pb), cadmium (Cd) and tetracycline (TC) on the growth and development of Triticum aestivum: A meta-analysis . | SCIENCE OF THE TOTAL ENVIRONMENT , 2023 , 904 . |
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