Statistical Methods and Models for Pollutant Control in Municipal Surface Waters
This paper aims to systematize a series of statistical methods of analysis and control and proposes some forecast models for surface water pollution both in and near a large city. The monitoring data of heavy metals, nitrites, and phosphates collected for three years are processed using different st...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/15/23/4178 |
| _version_ | 1797399526885031936 |
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| author | Irina Meghea |
| author_facet | Irina Meghea |
| author_sort | Irina Meghea |
| collection | DOAJ |
| description | This paper aims to systematize a series of statistical methods of analysis and control and proposes some forecast models for surface water pollution both in and near a large city. The monitoring data of heavy metals, nitrites, and phosphates collected for three years are processed using different statistical tools. It is demonstrated that they are under statistical control, and appropriate mathematical models are formulated to allow for forecasting and understanding of the causes of the appearance and perpetuation of certain phenomena. A comparative analysis is made, and the generalization of some methods is considered as an analysis and control tool. |
| first_indexed | 2024-03-09T01:40:32Z |
| format | Article |
| id | doaj.art-e2a4b9f32e5343b99fd7fc4d37f8f36f |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-09T01:40:32Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-e2a4b9f32e5343b99fd7fc4d37f8f36f2023-12-08T15:28:48ZengMDPI AGWater2073-44412023-12-011523417810.3390/w15234178Statistical Methods and Models for Pollutant Control in Municipal Surface WatersIrina Meghea0Department of Mathematical Methods and Models, Faculty of Applied Sciences, National University of Science and Technology Politehnica Bucharest, 060042 Bucharest, RomaniaThis paper aims to systematize a series of statistical methods of analysis and control and proposes some forecast models for surface water pollution both in and near a large city. The monitoring data of heavy metals, nitrites, and phosphates collected for three years are processed using different statistical tools. It is demonstrated that they are under statistical control, and appropriate mathematical models are formulated to allow for forecasting and understanding of the causes of the appearance and perpetuation of certain phenomena. A comparative analysis is made, and the generalization of some methods is considered as an analysis and control tool.https://www.mdpi.com/2073-4441/15/23/4178statistical analysistime seriesstatistical controlautocorrelation structuresurface water pollutionheavy metals monitoring |
| spellingShingle | Irina Meghea Statistical Methods and Models for Pollutant Control in Municipal Surface Waters Water statistical analysis time series statistical control autocorrelation structure surface water pollution heavy metals monitoring |
| title | Statistical Methods and Models for Pollutant Control in Municipal Surface Waters |
| title_full | Statistical Methods and Models for Pollutant Control in Municipal Surface Waters |
| title_fullStr | Statistical Methods and Models for Pollutant Control in Municipal Surface Waters |
| title_full_unstemmed | Statistical Methods and Models for Pollutant Control in Municipal Surface Waters |
| title_short | Statistical Methods and Models for Pollutant Control in Municipal Surface Waters |
| title_sort | statistical methods and models for pollutant control in municipal surface waters |
| topic | statistical analysis time series statistical control autocorrelation structure surface water pollution heavy metals monitoring |
| url | https://www.mdpi.com/2073-4441/15/23/4178 |
| work_keys_str_mv | AT irinameghea statisticalmethodsandmodelsforpollutantcontrolinmunicipalsurfacewaters |