Skip to main content

Advertisement

Log in

RETRACTED ARTICLE: Detection of PM2.5 in mountain air based on fuzzy multi-attribute and construction of folk sports activities

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

This article was retracted on 22 November 2021

An Editorial Expression of Concern to this article was published on 28 September 2021

This article has been updated

Abstract

With the continuous development of social construction, China’s economy has a significant growth. But there is a problem of air pollution in mountainous areas. Statistics show that more than 70% of China’s cities exceed the air quality standard every year. Taking PM2.5 as the characteristic area of air pollution in a certain area, it is becoming the most urgent and important environmental problem in J urban agglomeration. At present, China has built a national ground monitoring network of air pollutants, but the existing monitoring stations are concentrated in urban areas. Suburban and rural areas without monitoring stations need to carry out air quality assessment, pollution prevention, and prediction, so these places have become “blind areas” for research. The factors that affect PM2.5 pollution are very complex, and the regional differences are also very obvious. It is difficult to determine the temporal and spatial distribution of PM2.5 concentration and the change mechanism only by using limited observation data at monitoring stations. The fuzzy multi-attribute of aerosol optical depth (AOD) products produced by satellite remote sensing provides an effective method to understand the distribution of air pollutants, pollutant diffusion, and pollution sources in a region. This paper also adopts the methods of field investigation, interview, and other investigation methods to investigate and analyze the ecological situation, the current situation of regional activities construction, and the existing problems of folk sports culture in China’s basin area. Based on fuzzy multi-attribute and mountain air PM2.5 detection, this paper applies it to the construction of folk sports activities, so as to promote the ecological environment development of Chinese folk culture.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.

Similar content being viewed by others

Change history

References

  • Abdelmadjid B, Omar S (2013) Assessment of groundwater pollution by nitrates using intrinsic vulnerability methods: a case study of the Nil valley groundwater (Jijel, North-East Ageria). Afri J Environ Sci Tech 7(10):949–960

    Google Scholar 

  • Ahmed I, Nazzal Y, Zaidi F (2018) Groundwater pollution risk mapping using modified DRASTIC model in parts of Hail region of Saudi Arabia. Environ Eng Res 23(1):84–91. https://doi.org/10.4491/eer.2017.072

    Article  Google Scholar 

  • Almasri MN (2007) Nitrate contamination of groundwater: a conceptual management framework. Environ Impact Assess Rev 27(3):220–242

    Article  Google Scholar 

  • Azubuike SE, Edet AE (2015) Vulnerability assessment of aquifers within the Oban Massif, South-Eastern Nigeria, using DRASTIC Method. Int J Sci Eng Res 6:1123–1135

    Google Scholar 

  • Babiker IS, Mohamed MAA, Terao H, Kato K, Ohta K (2004) Assessment of groundwater contamination by nitrate leaching from intensive vegetable cultivation using geographical information system. Environ Int 29(8):1009–1017

    Article  Google Scholar 

  • Bazimenyera D, Zhnoghua T (2008) A GIS based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Hangzhou-Jiaxing-Huzhou Plain. China. Med Well Res J Appl Sci 8(3):550–559

    Google Scholar 

  • Buczko U, Kuchenbuch RO, Lennartz B (2010) Assessment of the predictive quality of simple indicator approaches for nitrate leaching from agricultural fields. J Environ Manag 91:1305–1315

    Article  Google Scholar 

  • Chroeder JJ, Scholefield D, Cabral F, Hofman G (2004) The effect of nutrient losses from agriculture on ground and surface water quality: the position of science in developing indicators for regulation. Environ Sci Pol 7:15–23

    Article  Google Scholar 

  • Civita M, De Miao M (2004) Assessing and mapping groundwater vulnerability to contamination: the Italian combined approach. Geofis Int 43:513–532

    Google Scholar 

  • Corniello A, Ducci D, Monti GM (2004) Aquifer pollution vulnerability in the Sorrento peninsula, southern Italy, evaluated by SINTACS method. Geofis Int 43(4):575–581

    Google Scholar 

  • Elisante E, Muzuka ANN (2016) Assessment of sources and transformation of nitrate in groundwater on the slopes of Mount Meru, Tanzania. Environ Earth Sci 75(3):1–15

    Article  Google Scholar 

  • Ezeh CC (2011) Geoelectrical studies for estimating aquifer hydraulic properties in Enugu state, Nigeria. Int J the Physical Sci 6(14):3319–3329

    Google Scholar 

  • Fazelabdolabadi B, Golestan MH (2020) Towards Bayesian quantification of permeability in micro-scale porous structures—the database of micro networks. Hi-Tech Innova J 1(4):148–160. https://doi.org/10.28991/HIJ-2020-01-04-02

    Article  Google Scholar 

  • Fırat EA, Ersoy H, Gültekin F (2006) Nitrate, nitrite and ammonia contamination in groundwater: a case study from Gümüşhacıköy Plain, Turkey. Asian J Wat Environ Pollut 4(1):107–118

    Google Scholar 

  • Goldscheider N, Klute M, Sturm S (2000) The PI method—a GIS-based approach to mapping groundwater vulnerability with special consideration of karst aquifers. Z Angew Geol 46(3):157–166

    Google Scholar 

  • Houria B, Mahdi K, Zohra TF (2020) Hydrochemical characterisation of groundwater quality: Merdja Plain (Tebessa Town, Algeria). Civil Eng J 6(2):318–324. https://doi.org/10.28991/cej-2020-03091473

    Article  Google Scholar 

  • Hussain MR, Abed BS (2019) Simulation and assessment of groundwater for domestic and irrigation uses. Civil Eng J 5(9):1877–1892

    Article  Google Scholar 

  • Hussain MH, Singhal DC, Joshi H, Kumar S (2006) Assessment of groundwater vulnerability in a tropical alluvial interfluve, India. Bhu-Jal News J 21:31–43

    Google Scholar 

  • Jarray H, Zammouri M, Ouessar M, Hamzaoui-Azaza F, Barbieri M, Zerrim A, Soler A, Yahyaoui H (2017) Groundwater vulnerability based on GIS approach: case study of Zeuss-Koutine aquifer, South-Eastern Tunisia. Geofis Int 56-2:157–172

    Google Scholar 

  • Kansoh R, Abd-El-Mooty M, Abd-El-Baky R (2020) Computing the water budget components for lakes by using meteorological data. Civil Eng J 6(7):1255–1265. https://doi.org/10.28991/cej-2020-03091545

    Article  Google Scholar 

  • Khemiri S, Khnissi A, Alaya MB, Saidi S, Zargouni F (2013) Using GIS for the comparison of intrinsic parametric methods assessment of groundwater vulnerability to pollution in scenarios of semi-arid climate. The Case of Foussana Groundwater in the Central of Tunisia. J Wat Resour Prot 5:835–845. https://doi.org/10.4236/jwarp.2013.58084

    Article  Google Scholar 

  • Kuisi MA, El-Naqa A, Hammouri N (2006) Vulnerability mapping of shallow groundwater aquifer using SINTACS model in the Jordan Valley area, Jordan. Environ Geol 50:645–650

    Article  Google Scholar 

  • Panagopoulos G, Antonakos A, Lambrakis N (2005) Optimization of the DRASTIC method for groundwater vulnerability assessment via the use of simple statistical methods and GIS. Hydrogeol J 14:894–911

    Article  Google Scholar 

  • Rahman A (2008) A GIS based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Aligarh, India. Appl Geogr 28:32–53

    Article  Google Scholar 

  • Sener E, Sener S, Davraz A (2009) Assessment of aquifer vulnerability based on GIS and DRASTIC methods: a case study of the Senirkent-Uluborlu Basin (Isparta, Turkey). Hydrogeol J 17:2023–2035

    Article  Google Scholar 

  • Shrestha S, Semkuyu DJ, Pandey VP (2016) Assessment of groundwater vulnerability and risk to pollution in Kathmandu Valley. (Nepal). Sci Total Environ 556:23–35

    Article  Google Scholar 

  • Twarakavi NKC, Kaluarachchi JJ (2006) Sustainability of ground water quality considering land use changes and public health risks. J Environ Manag 81:405–419

    Article  Google Scholar 

  • Uma KO (2003) Hydrogeology of the perched aquifer systems in the hilly terrains of Nsukka town, Enugu State, Nigeria. Wat Resour J 14:85–92

    Google Scholar 

  • Van Stempvoort D, Evert L, Wassenaar L (1993) Aquifer vulnerability index: a GIS compactable method for groundwater vulnerability mapping. Can Water Resour J 18:25–37

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Guanming Liu.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Responsible editor: Sheldon Williamson

This article is part of the Topical Collection on Environment and Low Carbon Transportation

This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12517-021-09012-z

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, G., Gan, L., Yang, H. et al. RETRACTED ARTICLE: Detection of PM2.5 in mountain air based on fuzzy multi-attribute and construction of folk sports activities. Arab J Geosci 14, 1847 (2021). https://doi.org/10.1007/s12517-021-08210-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12517-021-08210-z

Keywords

Navigation