Abstract
This paper mainly studies the parameters of active panel data. According to the activity panel data to create a balance model, through the use of two improved GMM evaluation algorithm and according to the original GMM evaluation algorithm, the activity panel regression model creation, and dynamic activity panel parameter evaluation creation process. Based on the research and analysis of groundwater exploitation and other related literature, this paper believes that the reasonable development and utilization of groundwater resources in the island is a major problem to be solved in the development process of groundwater resources. Therefore, in the shallow groundwater area, it plays a very important role in the protection of groundwater resources. There is a very close relationship between surface water and groundwater, and surface water and groundwater can interact and influence each other, making the water quality change to a certain extent. Groundwater is the main source of water supply in China. According to the literature, athletes have good physical fitness, which can help athletes get better results in the competition. Through the research and analysis of high-level tennis players’ physical fitness, we can find more scientific and effective training methods, and make the high-level athletes’ physical energy supply more comprehensive and reasonable, so as to improve the sports level and competitive ability of athletes. In this paper, through the study of traditional GMM evaluation algorithm, the parameters of regression model and data model can be accurately estimated by activity panel.
Similar content being viewed by others
Change history
03 November 2021
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s12517-021-08797-3
28 September 2021
An Editorial Expression of Concern to this paper has been published: https://doi.org/10.1007/s12517-021-08471-8
References
Baazi H, Kalla M, Tebbi FZ (2020) Hydrochemical characterisation of groundwater quality: Merdja Plain (Tebessa Town, Algeria). Civ Eng J 6(2):318–325. https://doi.org/10.28991/cej-2020-03091473
Bailey RT, Morway ED, Niswonger RG, Gates TK (2013) Modeling variably saturated multispecies reactive groundwater solute transport with MODFLOW-UZF and RT3D. Groundwater 51(5):752–761. https://doi.org/10.1111/j.1745-6584.2012.01009.x
Chen XB (2014) Application of groundwater tracer connectivity test on hydrogeological investigation. Water Conservancy Sci Technol Econ 20(7):93–95
Dewaide L, Bonniver I, Rochez G, Hallet V (2016) Solute transport in heterogeneous karst systems: dimensioning and estimation of the transport parameters via multi-sampling tracer-tests modelling using the OTIS (One-dimensional Transport with Inflow and Storage) program. J Hydrol 534:567–578. https://doi.org/10.1016/j.jhydrol.2016.01.049
Elbaz K, Shen SL, Cheng WC, Arulrajah A (2018) Cutter-disc consumption during earth pressure balance tunnelling in mixed strata. Proc Inst Civ Eng Geotech Eng 171(4):363–376. https://doi.org/10.1680/jgeen.17.00117
Estabragh AR, Pereshkafti MRS, Javadi AA (2014) Numerical analysis of advection-dominated contaminant transport in saturated porous media. Eur J Environ Civ Eng 18(5):536–549. https://doi.org/10.1080/19648189.2014.889044
Goldscheider N, Meiman J, Pronk M, Smart C (2008) Tracer tests in karst hydrogeology and speleology. Int J Speleol 37(1):27–40. https://doi.org/10.5038/1827-806X.37.1.3
Huan H, Wang J, Lai D, Teng Y, Zhai Y (2015) Assessment of well vulnerability for groundwater source protection based on a solute transport model: a case study from Jilin City, northeast China. Hydrogeol J 23(3):581–596. https://doi.org/10.1007/s10040-014-1211-4
Hussain MR, Abed BS (2019) Simulation and assessment of groundwater for domestic and irrigation uses. Civ Eng J 5(9):1877–1892. https://doi.org/10.28991/cej-2019-03091379
Khosronejad A, Hansen AT, Kozarek JL, Guentzel K, Hondzo M, Guala M, Wilcock P, Finlay JC, Sotiropoulos F (2016) Large eddy simulation of turbulence and solute transport in a forested headwater stream. J Geophys Res Earth Surf 121(1):146–167. https://doi.org/10.1002/2014JF003423
Koestel J, Larsbo M (2014) Imaging and quantification of preferential solute transport in soil macropores. Water Resour Res 50(5):4357–4378. https://doi.org/10.1002/2014WR015351
Liang CP, Hsu SY, Chen JS (2016) An analytical model for solute transport in an infiltration tracer test in soil with a shallow groundwater table. J Hydrol 540:129–141. https://doi.org/10.1016/j.jhydrol.2016.05.069
Morales T, Angulo B, Uriarte JA, Olazar M, Arandes JM, Antiguedad I (2017) Solute transport characterization in karst aquifers by tracer injection tests for a sustainable water resource management. J Hydrol 547:269–279. https://doi.org/10.1016/j.jhydrol.2017.02.009
Neretnieks I, Moreno L (2003) Prediction of some in situ tracer tests with sorbing tracers using independent data. J Contam Hydrol 61(1):351–360. https://doi.org/10.1016/S0169-7722(02)00123-7
Nguyet VTM, Goldscheider N (2006) Tracer tests, hydrochemical and microbiological investigations as a basis for groundwater protection in a remote tropical mountainous karst area, Vietnam. Hydrogeol J 14(7):1147–1159. https://doi.org/10.1007/s10040-006-0038-z
Obianyo JI (2019) Effect of salinity on evaporation and the water cycle. Emerg Sci J 3(4):255–262. https://doi.org/10.28991/esj-2019-01188
Ramos TB, Šimůnek J, Gonçalves MC, Martins JC, Prazeres A, Castanheira NL, Pereira LS (2011) Field evaluation of a multicomponent solute transport model in soils irrigated with saline waters. J Hydrol 407(1):129–144. https://doi.org/10.1016/j.jhydrol.2011.07.016
Serres-Piole C, Preud’homme H, Moradi-Tehrani N, Allanic C, Jullia H, Lobinski R (2012) Water tracers in oilfield applications: guidelines. J Pet Sci Eng 98:22–39. https://doi.org/10.1016/j.petrol.2012.08.009
Tahershamsi A, Feizi A, Molaei S (2018) Modeling groundwater surface by MODFLOW Math code and geostatistical method. Civ Eng J 4(4):812. https://doi.org/10.28991/cej-0309135
Tan S, Zhou BB, Wang QJ (2016) Effects of nanocarbon on the hydraulic parameters and the solute transport process for disturbed loessial soil. Arab J Geosci 9(1):4. https://doi.org/10.1007/s12517-015-2018-x
Zhang N, Zheng Q, Elbaz K, Xu YS (2020) Water inrush hazards in the Chaoyang Tunnel, Guizhou, China: a preliminary investigation. Water 12(4):1083. https://doi.org/10.3390/w12041083
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no competing interests.
Open access
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
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/s12517-021-08797-3
About this article
Cite this article
Geng, Z. RETRACTED ARTICLE: The change of groundwater quality in shallow layer based on parameter estimation and tennis physical fitness recovery. Arab J Geosci 14, 1491 (2021). https://doi.org/10.1007/s12517-021-08009-y
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12517-021-08009-y