دورية أكاديمية
Field Measurements and Machine Learning Algorithms to Monitor Water Quality in Lakes Located in Landscape Parks – A Case Study
| العنوان: | Field Measurements and Machine Learning Algorithms to Monitor Water Quality in Lakes Located in Landscape Parks – A Case Study |
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| المؤلفون: | Natalia Walczak, Zbigniew Walczak, Ireneusz Laks |
| المصدر: | Journal of Ecological Engineering, Vol 25, Iss 1, Pp 49-64 (2024) |
| بيانات النشر: | Polish Society of Ecological Engineering (PTIE), 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Environmental technology. Sanitary engineering LCC:Environmental sciences |
| مصطلحات موضوعية: | nitrogen, phosphorus, cod, pca, bod5, k-means, anova, quality of water in lakes, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350 |
| الوصف: | One of the biggest threats to many lakes is their accelerated eutrophication resulting from anthropogenic pressure, agricultural intensification, and climate change. A very important element of surface water protection in environmentally conserved areas is the proper monitoring of water quality and detection of potential threats by examining the physicochemical properties of water and performing statistical analyses that enable possible exposure of unfavourable trends. The article presents the analyses of the results of measurements made in three lakes located in the Sierakowski Landscape Park. As part of the measurements, water quality indicators i.e., phosphorus, nitrogen, BOD5 and COD, were determined monthly for a year at the inflows and outflows of the studied lakes. The test results of selected water quality indicators were analysed using machine learning algorithms i.e., PCA and k-means. The conducted tests enabled statistical estimation of changes in water quality indicators in the reservoirs and evaluation of their correlation. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2299-8993 22998993 83892397 |
| Relation: | http://www.jeeng.net/Field-Measurements-and-Machine-Learning-Algorithms-to-Monitor-Water-Quality-in-Lakes,173191,0,2.html; https://doaj.org/toc/2299-8993 |
| DOI: | 10.12911/22998993/173191 |
| URL الوصول: | https://doaj.org/article/dc8db9aae96d48ec838923975df1dec8 |
| رقم الأكسشن: | edsdoj.8db9aae96d48ec838923975df1dec8 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 22998993 83892397 |
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| DOI: | 10.12911/22998993/173191 |