Abstract
In statistical survey, except sampling error, the error caused by other reasons is called non-sampling error. Non-sampling errors may affect survey results. This paper mainly studies the emergence of non-sampling error in the system, the corresponding history and culture and related applications, seeks the causes of the error and explores the solutions, and designs a method that can be used to measure. By using this analysis method, the percentage of non-sampling error in the total error can be adjusted through statistics. In addition, the adaptability and path of this measurement method, as well as the adjustment method for the measurement error and estimation problems found in the multi-order model are also studied. As we all know, the subtropical northeast Pacific plays an extremely important role in the whole process of transmission to the tropics. Through the investigation of the physical and mental health, interpersonal relationship, and other problems of the students in a medical college, this paper analyzes the intervention effect of this treatment method by using a variety of treatment methods such as music and song performance organized by the masses, and probes into whether this intervention method can promote the improvement of college students’ mental health level and test the effectiveness of the treatment effect. It provides an important reference for the development of physical and mental health education of college students. This paper discusses the effect of psychological intervention in music education by simulating sea surface temperature with non-sampling error.
This is a preview of subscription content, log in via an institution to check access.
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This article has been retracted.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/s12517-021-08794-6
28 September 2021
An Editorial Expression of Concern to this paper has been published: https://doi.org/10.1007/s12517-021-08471-8
References
Afilal F, Draoui M, El Messari JS (2018) Application of the DKPR method for mapping vulnerability to contamination of water Smir’s River Dam (North Morocco). J Water Sci Environ Technol 2(2):402–410
Anandhi A, Kannan N (2018) Vulnerability assessment of water resources-translating a theoretical concept to an operational framework using systems thinking approach in a changing climate: case study in Ogallala Aquifer. J Hydrol 557:460–474. https://doi.org/10.1016/j.jhydrol.2017.11.032
Bhateria R, Jain D (2016) Water quality assessment of lake: a review. Sustain Water Resour Manag 2(2):161–173. https://doi.org/10.1007/s40899-015-0014-7
Chhetri R, Kumar P, Pandey-Vishnu P, Singh R, Pandey S (2020) Vulnerability assessment of water resources in Hilly Region of Nepal. Sust Water Res Manag 6(3):34. https://doi.org/10.1007/s40899-020-00391-x
Jabbar FK, Grote K (2020) Evaluation of the predictive reliability of a new watershed health assessment method using the SWAT model. Environ Monit Assess 192(4):224. https://doi.org/10.1007/s10661-020-8182-9
Renard KG, Foster GR, Weesies GA, Porter JP (1991) Revised universal soil loss equation. J Soil Water Conserv 46(1):30–33
Renard KG, Freimund JR (1994) Using monthly precipitation data to estimate the R-factor in the revised USLE. J Hydrol 157(1–4):287–306. https://doi.org/10.1016/0022-1694(94)90110-4
Sánchez E, Colmenarejo MF, Vicente J, Rubio A, García MG, Travieso L, Borja R (2007) Use of the water quality index and dissolved oxygen deficit as simple indicators of watershed pollution. Ecol Indic 7(2):315–328. https://doi.org/10.1016/j.ecolind.2006.02.005
Simeonov V, Stratis JA, Samara C, Zachariadis G, Voutsa D, Anthemidis A, Sofoniou M, Kouimtzis T (2003) Assessment of the surface water quality in Northern Greece. Water Res 37:4119–4124. https://doi.org/10.1016/S0043-1354(03)00398-1
Singh S, Hassan SMT, Hassan M, Bharti N (2019) Urbanization and water insecurity in the Hindu Kush Himalaya: insights from Bangladesh, India, Nepal and Pakistan. Water Policy 22(S1):9–32. https://doi.org/10.2166/wp.2019.215
Thanh NT (2019) Evaluation of multi-precipitation products for multi-time scales and spatial distribution during 2007–2015. Civil Eng J 5(1):1–13
Vasistha P, Ganguly R (2020) Water quality assessment of natural lakes and its importance: an overview. Mater Today 32:544–552. https://doi.org/10.1016/j.matpr.2020.02.092
Versari A, Parpinello GP, Galassi S (2002) Chemometric survey of Italian bottled mineral waters by means of their labelled physico-chemical and chemical composition. J Food Compos Anal 15:251–264. https://doi.org/10.1006/jfca.2002.1058
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The author declares that he has no competing interests.
Additional information
Responsible Editor: Sheldon Williamson
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 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/.
This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12517-021-08794-6"
This article is part of the Topical Collection on Environment and low carbon transportation
About this article
Cite this article
Zhang, J. RETRACTED ARTICLE: Simulation of sea surface temperature based on non-sampling error and psychological intervention of music education. Arab J Geosci 14, 1518 (2021). https://doi.org/10.1007/s12517-021-07931-5
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12517-021-07931-5