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您的检索式：作者名="ZENG Fanfu"
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| 1 | Agricultural non-point nitrogen pollution control function of dierent vegetation types in riparian wetlands: A case study in the Yellow River wetland in China显示文摘Riparian wetland is the major transition zone of matter, energy and information transfer between aquatic and terrestrial ecosystems and has important functions of water purification and non-point pollution control. Using the field experiment method and an isotope tracing technique, the agricultural non-point nitrogen pollution control function of dierent vegetation types in riparian wetland was studied in the Kouma Section of the Yellow River. The results showed that the retention of agricultural non-point nitrogen pollution by riparian wetland soil occurs mainly in top 0-10 cm layer. The amount of nitrogen retained by surface soils associated with three types of vegetation are 0.045 mg/g for Phragmites communis Trin Linn, 0.036 mg/g for Scirpus triqueter Linn, and 0.032 mg/g for Typha angustifolia Linn, which account for 59.21%, 56.25%, and 56.14% of the total nitrogen interception, respectively. Exogenous nitrogen in 0-10 cm soil layer changes more quickly than in other layers. One month after adding K15NO3 to the tested vegetation, nitrogen content was 77.78% for P. communis Trin, 68.75% for T. angustifolia, and 8.33% for S. triqueter in the surface soil. After three months, nitrogen content was 93.33% for P. communis Trin, 72.22% for S. triqueter, and 37.50% for T. Angustifolia. There are large dierences among vegetation communities respecting to purification of agricultural non-point nitrogen pollution. The nitrogen uptake amount decreases in the sequence: new shoots of P. communis Trin (9.731 mg/g) > old P. communis Trin (4.939 mg/g) > S. triqueter (0.620 mg/g) > T. angustifolia (0.186 mg/g). Observations indicated that the presence of riparian wetlands as buers on and adjacent to stream banks could be recommended to control agricultural non-point pollution. | ZHAO Tongqian XU Huashan HE Yuxiao TAI Chao MENG Hongqi ZENG Fanfu XING Menglin | 2009 | Journal of Environmental Sciences2009，21，7： | 29 |
| 2 | Multiple Music Sentiment Classification Model Based on Convolutional Neural Network显示文摘The network community is a platform for people to communicate. In order to accurately analyze the emotions displayed in music community, this paper proposes a convolutional neural network classification model based on multi-dimensional emotions. Firstly, to solve the problem of feature extraction of emotion words under similar sentence patterns, it proposed a multi-emotion classification method and emotion vector splicing method that conform to music community emotion characteristics. Secondly, aiming at the coexistence of multiple categories of emotions in music comment text, it applied an emotional value measurement method based on music characteristics. Finally, the classification model was constructed with combining methods of emotion vector splicing and emotion value measurement. Through experimental analysis, this model is proved to have good performance in accuracy. | Jing Yang Fanfu Zeng Yong Wang Hairui Yu Le Zhang | 2019 | 国际计算机前沿大会会议论文集2019，，1： | 0 |
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