| Literature DB >> 36059411 |
Zijian Guo1, Huijun Lin2, Zebo Qiao1.
Abstract
With the rapid development of soft computing technology, various models and comprehensive analysis methods are emerging one after another, and new theories and research results continue to emerge, showing great strength and development potential in actual theoretical research and engineering applications. This paper analyzes the air pollution detection and environmental responsibility of sports clubs based on RBF neural networks, constructs the corresponding neural network algorithm, and simulates and analyzes the data. In the process of simulation design, we adjust the weight and threshold of the network according to the error performance of the network to realize the functions required by the system. Different models were used to predict the concentration of air pollutants in typical cities. At the same time, a meta-analysis method was used to conduct a preliminary discussion on the impact of air pollutants on the health of the Chinese population, and some research results were obtained. In the past years, Chinese sports clubs have also built a solid social environmental protection system around the related environmental protection responsibilities of sports clubs. The research on green environmental monitoring has improved people's awareness of environmental responsibility and provided technical support for the green development of sports clubs.Entities:
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Year: 2022 PMID: 36059411 PMCID: PMC9433212 DOI: 10.1155/2022/3693310
Source DB: PubMed Journal: Comput Intell Neurosci
List of the questionnaire validity test (N = 33).
| Very effective | Efficient | Invalid | |
|---|---|---|---|
| Questionnaire content | 20 | 13 | 0 |
| Questionnaire structure | 23 | 10 | 0 |
Figure 12017–2020 China's representative city air pollution seasonal changes; (a) PM2.5 change; (b) PM10 change; (c) SO2 change; (d) NO3 change; (e) CO change; (f) O3 law of change.
Figure 2The spatial distribution characteristics of PM10 and PM2.5 in China from 2017 to 2020: (a) the spatial distribution characteristics of PM10; (b) the spatial stepwise characteristics of PM2.5.
Figure 3Environmental protection responsibilities of running clubs in China in the past ten years.
Statistics of places where running clubs fulfill their environmental responsibilities.
| Province | Frequency | Province | Frequency | Province | Frequency |
|---|---|---|---|---|---|
| Region 1 | 32 | Region 13 | 1 | Region 25 | 1 |
| Region 2 | 16 | Region 14 | 2 | Region 26 | 1 |
| Region 3 | 17 | Region 15 | 0 | Region 27 | 1 |
| Region 4 | 9 | Region 16 | 2 | Region 28 | 1 |
| Region 5 | 6 | Region 17 | 2 | Region 29 | 1 |
| Region 6 | 7 | Region 18 | 2 | Region 30 | 1 |
| Region 7 | 4 | Region 19 | 0 | Region 31 | 1 |
| Region 8 | 4 | Region 20 | 2 | Region 32 | 1 |
| Region 9 | 2 | Region 21 | 0 | Region 33 | 1 |
| Region 10 | 3 | Region 22 | 2 | Region 34 | 1 |
| Region 11 | 1 | Region 23 | 0 | Unknown | 14 |
| Region 12 | 3 | Region 24 | 1 | — | — |
Statistics of the specific performance times of running clubs in fulfilling their environmental responsibilities in the past ten years.
| Years | Infrastructure | Charity events | Audience contributions | Community contributions | Cultural dissemination | Educational activities | Environmental protection activities |
|---|---|---|---|---|---|---|---|
| 2010 | — | 7 | — | — | — | — | — |
| 2011 | — | 2 | — | — | — | — | 2 |
| 2012 | — | 6 | — | 2 | — | — | — |
| 2013 | — | 3 | — | — | — | — | — |
| 2014 | — | 4 | — | 0 | 2 | — | — |
| 2015 | 2 | 8 | 7 | 4 | 1 | 2 | — |
| 2016 | 1 | 4 | 3 | 2 | 10 | 0 | — |
| 2017 | — | 4 | — | 3 | 6 | 2 | — |
| 2018 | — | 7 | — | 0 | 4 | 1 | 0 |
| 2019 | 2 | 5 | — | 2 | 3 | 6 | — |
| 2020 | — | 1 | 2 | 4 | 3 | 1 | 2 |
| Total | 5 | 51 | 12 | 19 | 29 | 12 | 4 |
| Proportion | 3.79% | 38.64% | 9.09% | 14.39% | 21.97% | 9.09% | 3.03% |
In the past ten years, running clubs have performed their social responsibilities.
| Years | Independent development | Collective development |
|---|---|---|
| 2010 | 2 | 6 |
| 2011 | 0 | 2 |
| 2012 | 3 | 5 |
| 2013 | 1 | 3 |
| 2014 | 3 | 4 |
| 2015 | 5 | 13 |
| 2016 | 3 | 21 |
| 2017 | 9 | 4 |
| 2018 | 10 | 6 |
| 2019 | 3 | 13 |
| 2020 | 7 | 7 |
| Total | 46 | 84 |
Figure 4The need for environmental promotion of sports events.
2008–2020 CRS green certification competition list.
| Serial number | Tournament list |
|---|---|
| 1 | 2018 Bank of America Marathon |
| 2 | 2018 City Open |
| 3 | 2018 NCAA Women's Big Four Basketball Championship |
| 4 | 2017 NCAA Men's Four Basketball Championship |
| 6 | 2017 City Open |
| 6 | Bank of America Marathon 2016 |
| 7 | 2016 IAAF International Athletics Championships |
| 8 | 2016 Ironman Triathlon Competition |
| 9 | 2016 10 km Coastal Running Race |
| 10 | 2016 U.S. Olympic Track and Field Trials |
| 11 | 2010 Half Marathon of an energy company |
| 12 | A university running event in 2009 |
| 13 | 2008 triathlon competition in a state |