Skip to main content

RETRACTED ARTICLE: Groundwater resource pollution detection and home sports training intervention based on image super-resolution processing

This article was retracted on 15 November 2021

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

This article has been updated

Abstract

In the past few years, due to the vigorous development of China’s industry and the rapid increase in urbanization, a series of adverse effects have been produced, such as the decline of groundwater levels, the pollution of groundwater resources, and the degradation of wetlands. Real-time monitoring of changes in groundwater volume and water quality under the influence of human activities is very important in the current era. It is not only of great significance for achieving sustainable development, but also indispensable for future specific planning. This paper mainly optimizes the design of the monitoring well pattern from the Yukou landfill to the water source of Zhongqiao in P District and establishes three optimization goals of pollution detection probability, early warning response time, and cost. Firstly, the deterministic model of P area was established by image super-resolution processing, and the pollution source was tracked by the software package MODPATH in GMS, so that the early warning response time occupies the primary position in the optimization goal. The first optimization plan was proposed, using Monte Carlo. The method randomizes the parameters of the permeability coefficient K and establishes a random model. Using the risk analysis in the random model, the probability capture area of the mining well at the water source is obtained. The probability of pollution detection takes the first place in the optimization objective. Taking the pollution detection probability as the primary position in the optimization objective, the second optimization scheme is proposed. Through the research on groundwater resource pollution detection and home sports training intervention, we will apply it to real life and promote its rapid development in the future.

This is a preview of subscription content, access via your institution.

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

Change history

References

  • Carey JM, McSaveney MJ, Petley DN (2016) Dynamic liquefaction of shear zones in intact loess during simulated earthquake loading. Landslides 14(3):789–804

    Article  Google Scholar 

  • Chen H, Lai HP, Qiu YL, Chen R (2020) Reinforcing distressed lining structure of highway tunnel with bonded steel plates: case study. J Perform Constr Facil 34(1):04019082

    Article  Google Scholar 

  • Elbaz K, Shen JS, Arulrajah A, Horpibulsuk S (2016) Geohazards induced by anthropic activities of geoconstruction: a review of recent failure cases. Arab J Geosci 9(18):708

    Article  Google Scholar 

  • Elkamhawy E, Wang HB, Zhou B, Yang ZY (2018) Failure mechanism of a slope with a thin soft band triggered by intensive rainfall. Environ Earth Sci 77(9):6–15

    Article  Google Scholar 

  • Fang Q, Zhang DL, Wong LNY (2012) Shallow tunnelling method (STM) for subway station construction in soft ground. Tunn Undergr Space Technol 29:10–30

    Article  Google Scholar 

  • Feng SJ, Du FL, Shi ZM, Shui WH, Tan K (2015) Field study on the reinforcement of collapsible loess using dynamic compaction. Eng Geol 185:105–115

    Article  Google Scholar 

  • First Railway Survey and Design Institute (FRSDI) (2016) The design specifications for the Yinchuan-Xi’an high speed railway tunnels

  • Garakani AA, Haeri SM, Desai CS, Ghafouri SMHS, Sadollahzadeh B, Senejani HH (2019) Testing and constitutive modeling of lime-stabilized collapsible loess. II: modeling and validations. Int J Geomech 19(4):04019007

    Article  Google Scholar 

  • Ghadakpour M, Choobbasti AJ, Kutanaei SS (2020) Experimental study of impact of cement treatment on the shear behavior of loess and clay. Arab J Geosci 13(4):184

    Article  Google Scholar 

  • Haeri SM, Garakani AA, Roohparvar HR, Desai CS, Ghafouri SMHS, Kouchesfahani KS (2019) Testing and constitutive modeling of lime-stabilized collapsible loess. I: experimental investigations. Int J Geomech 19(4):04019006

    Article  Google Scholar 

  • Heidari M, Tonon F (2015) Ground reaction curve for tunnels with jet grouting umbrellas considering jet grouting hardening. Int J Rock Mech Min Sci 76:200–208

    Article  Google Scholar 

  • Hu SM (2012) Research on deformation characteristics and control measures of the large-section loess tunnel (Ph.D. Thesis). Beijing Jiaotong University (in Chinese)

  • Jin XG, Li YY, Luo YJ, Liu HW (2016) Prediction of city tunnel water inflow and its influence on overlain lakes in karst valley. Environ Earth Sci 75(16):1162

    Article  Google Scholar 

  • Karimi A, Khormali F, Wang X (2017) Discrimination of sand dunes and loess deposits using grain-size analysis in northeastern Iran. Arab J Geosci 10(2):275

    Article  Google Scholar 

  • Lai HP, Song WL, Liu YY, Chen R (2017) Influence of flooded loessial overburden on the tunnel lining: case study. J Perform Constr Facil 31(6):1–11

    Article  Google Scholar 

  • Li PF, Zhao Y, Zhou XJ (2016) Displacement characteristics of high-speed railway tunnel construction in loess ground by using multi-step excavation method. Tun Under Spa Techn incorp Tren Tech Res 51:41–55

  • Li XJ, Lin XD, Zhu HH, Wang XZ, Liu ZM (2017) Condition assessment of shield tunnel using a new indicator: The tunnel serviceability index. Tunn Undergr Space Technol 67:98–106

    Article  Google Scholar 

  • Li P, Xie WL, Pak RYS, Vanapalli SK (2018) Microstructural evolution of loess soils from the loess plateau of China. Catena 173:276–288

    Article  Google Scholar 

  • Li J, Shao SJ, Shao S (2019) Collapsible characteristics of loess tunnel site and their effects on tunnel structure. Tunn Undergr Space Technol 83:509–519

    Article  Google Scholar 

  • Liang QG, Li J, Wu XY, Zhou AN (2016) Anisotropy of Q2 loess in the Baijiapo tunnel on the Lanyu railway, china. Bull Eng Geol Environ 75(1):109–124

    Article  Google Scholar 

  • Lin ZG, Wang SJ (1988) Collapsibility and deformation characteristics of deep-seated loess in China. Eng Geol 25:271–282

    Article  Google Scholar 

  • Lisjak A, Garitte B, Grasselli G, Muller HR, Vietor T (2015) The excavation of a circular tunnel in a bedded argillaceous rock (Opalinus Clay): short-term rock mass response and FDEM numerical analysis. Tunn Undergr Space Technol 45:227–248

    Article  Google Scholar 

  • Liu YY, Lai HP (2019) Load characteristics of tunnel lining in flooded loess strata considering loess structure. Adv Civ Eng 2019(7):1–13

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Huiying Dai.

Ethics declarations

Conflict of interest

The authors declare that they have 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/s12517-021-08943-x"

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Dai, H. RETRACTED ARTICLE: Groundwater resource pollution detection and home sports training intervention based on image super-resolution processing. Arab J Geosci 14, 1657 (2021). https://doi.org/10.1007/s12517-021-07972-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12517-021-07972-w

Keywords

  • Image super-resolution processing
  • Groundwater resources
  • Pollution detection
  • Home movement