利用实地测量和机器学习算法监测景观公园内湖泊的水质 - 案例研究

IF 1.3 Q4 ENGINEERING, ENVIRONMENTAL Journal of Ecological Engineering Pub Date : 2024-01-01 DOI:10.12911/22998993/173191
N. Walczak, Z. Walczak, Ireneusz Laks
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引用次数: 0

摘要

许多湖泊面临的最大威胁之一是人为压力、农业集约化和气候变化导致的湖泊富营养化加速。在环境保护区保护地表水的一个非常重要的因素是通过检查水的物理化学特性和进行统计分析来适当监测水质和发现潜在威胁,从而揭示不利趋势。文章介绍了对位于 Sierakowski 景观公园的三个湖泊的测量结果进行的分析。作为测量工作的一部分,在所研究湖泊的流入口和流出口每月测定水质指标,即磷、氮、生化需氧量 5 和化学需氧量,为期一年。选定水质指标的测试结果使用机器学习算法(即 PCA 和 k -means)进行分析。通过测试,可以对水库水质指标的变化进行统计估算,并对其相关性进行评估。
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Field Measurements and Machine Learning Algorithms to Monitor Water Quality in Lakes Located in Landscape Parks – A Case Study
One of the greatest 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, BOD 5 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.
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来源期刊
Journal of Ecological Engineering
Journal of Ecological Engineering ENGINEERING, ENVIRONMENTAL-
CiteScore
2.60
自引率
15.40%
发文量
379
审稿时长
8 weeks
期刊介绍: - Industrial and municipal waste management - Pro-ecological technologies and products - Energy-saving technologies - Environmental landscaping - Environmental monitoring - Climate change in the environment - Sustainable development - Processing and usage of mineral resources - Recovery of valuable materials and fuels - Surface water and groundwater management - Water and wastewater treatment - Smog and air pollution prevention - Protection and reclamation of soils - Reclamation and revitalization of degraded areas - Heavy metals in the environment - Renewable energy technologies - Environmental protection of rural areas - Restoration and protection of urban environment - Prevention of noise in the environment - Environmental life-cycle assessment (LCA) - Simulations and computer modeling for the environment
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