| Literature DB >> 32225026 |
Zhanbing Ren1, Yifan Zuo2,3, Yudan Ma4, Mu Zhang3, Lee Smith5, Lin Yang6, Paul D Loprinzi7, Qian Yu8, Liye Zou8.
Abstract
PURPOSE: The purpose of this study was to investigate the influence of natural environmental factors on the spatial distribution of marathon events in China, and to identify the suitable natural environmental factors for the marathon events.Entities:
Keywords: coupling analysis; geographic information systems; marathon running; natural environmental factors
Year: 2020 PMID: 32225026 PMCID: PMC7177444 DOI: 10.3390/ijerph17072238
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Marathon events in China in 2018 (by month).
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| Number of events | 4 | 0 | 22 | 47 | 39 | 18 |
| Participants | 60,000 | 0 | 303,500 | 408,100 | 328,000 | 129,640 |
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| Number of events | 12 | 12 | 27 | 60 | 66 | 35 |
| Participants | 80,000 | 112,000 | 165,150 | 593,500 | 762,800 | 419,900 |
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| Jiangsu (40), Shandong (27), Zhejiang (23), Guangdong (22), Hubei (21), Anhui (20), Sichuan (18), Henan (15), Yunnan (15), Beijing (12), Hebei (11), Jiangxi (11), Shaanxi (11), Guangxi (10), Fujian (9), Chongqing (9), Shanghai (8), Gansu (8), Shanxi (7), Hainan (7), Inner Mongolia (7), Heilongjiang (6), Liaoning (5), Hunan (5), Guizhou (5), Jilin (5), Tianjin (2), Tibet (1), Ningxia (1), Xinjiang (1), Qinghai (0) | ||||||
Figure 1Terrains and marathon running coupling diagram.
Figure 2Landforms and marathon running coupling diagram.
Main gathering area on each terrain step and the distribution of marathon events on different landforms.
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| 1st | Marathon running are not gathered | ||
| 2nd | Sichuan Basin, part of Yunan-guizhou Plateau, near Hexi Corridor | ||
| 3rd | the Yangtze River Delta, the Yangtze plain, North China plain, Lingnan | ||
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| Landform | Number | Landform | Number |
| Plain | 193 | Hill | 57 |
| Plateau | 37 | Mountain | 28 |
| Basin | 27 | ||
Figure 3Climate and marathon running coupling diagram.
Distribution of marathon running in different climatic area and air quality levels.
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| Subtropical monsoon climate | 205 | Temperate monsoon climate | 109 |
| Temperate continental climate | 19 | Tropical monsoon climate | 8 |
| Plateau alpine climate | 1 | ||
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| 1st (0–29) | Hainan (7), Guizhou (5), Yunnan (15), Tibet (1), Fujian (9), Heilongjiang (6) | 43 (12.5%) | |
| 2nd (30–39) | Guangdong (22), Shanghai (8), Guangxi (10), Hunan (5), Jiangxi (11), Zhejiang (23), Sichuan (18), Qinghai (0), Gansu (8), Inner Mongolia (7), Jilin (5) | 117 (34.2%) | |
| 3rd (40–49) | Chongqing (9), Hubei (21), Anhui (20), Jiangsu (40), Ningxia (1), Shaanxi (11), Liaoning (5), Beijing (12) | 119 (34.8%) | |
| 4th (50–56) | Hebei (11), Henan (15), Shanxi (7), Shandong (27), Tianjin (2), Xinjiang (1) | 63 (18.5%) | |
Figure 4Air quality and marathon running coupling diagram.
Figure 5Water resources and marathon running coupling diagram.
Figure 6Mountain ranges and marathon running coupling diagram.
Intersect output of the buffer radius of water resources/mountains and marathon running.
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| 500 m | 1000 m | 24 | 7.0% |
| 3 km | 5 km | 131 | 38.3% |
| 5 km | 10 km | 191 | 55.8% |
| 10 km | 20 km | 298 | 87.1% |
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| 20 km | 13 | 3.8% | |
| 50 km | 39 | 11.4% | |
Regression analysis.
| R | R2 | β |
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| Buffer radius of main rivers | 0.984 | 0.968 | 0.028 | 0.016 |
| Buffer radius of main lakes | 0.977 | 0.954 | 0.014 | 0.023 |
| Buffer radius of main mountains | 1.000 | 1.000 | 0.867 | 0.000 |
β: Bate is the standardized partial regression coefficient.