The adoption of strategies for monitoring water consumption is essential for water resources management, contributing to the promotion of the sustainability in the water sector. Statistical process control (SPC) charts, which are widely used in the industrial sector, are statistical methods developed to improve the quality of products and processes. The application of this method has reached other areas over the last decades and has recently been identified as an option for environmental monitoring. In this context, the application of SPC charts emerges as an option for water consumption monitoring, whether in a building or an urban scale. Thus, this article aims to analyze the application of statistical process control charts in the monitoring of water consumption of two housing compounds in Joinville, southern Brazil. The methodological procedures include the use of the Shewhart and the EWMA control charts in addition to the non-parametric alternative, the EWMA-SN, assessing the effectiveness of these techniques in detecting water leaks in residential apartment buildings. The data sets, obtained through a telemetry metering system from the water utility, represent a period of 243 days. The results show that control charts are a powerful tool in identifying changes in water consumption patterns, with the EWMA chart flagging the leaks sooner.
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http://dx.doi.org/10.1038/s41598-023-40584-w | DOI Listing |
Ann Med
December 2025
Department of General Practice, Hainan affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, China.
Background: Although existing studies have identified some genetic loci associated with chronic obstructive pulmonary disease (COPD) susceptibility, many variants remain to be discovered. The aim of this study was to further explore the potential relationship between single nucleotide polymorphisms (SNPs) and COPD risk.
Methods: Nine hundred and ninety-six subjects were recruited (498 COPD cases and 498 healthy controls).
Environ Sci Pollut Res Int
January 2025
Department of Civil Engineering, University of Qom, Qom, Iran.
In this study, the water-energy nexus is investigated throughout coupling the Water Evaluation and Planning (WEAP) and Low Emission Analysis Platform (LEAP) models under the climate change effects in the Marun basin, Iran. For this purpose, first, the climate change effects on water resources and consumption nodes are calculated under representative concentration pathway (RCP) scenarios from the fifth report of the International Panel on Climate Change (IPCC). Artificial neural network (ANN) is used to model river inflow and Cropwat model is used for agricultural water demand in future time (2015-2040).
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, 350000, China.
This study expands the original two-dimensional carbon footprint model into a three-dimensional model form. Introduce two indicators of carbon footprint depth (CF) and size (CF) to form a three-dimensional carbon footprint model (CF), which is used to respectively represent the occupation and consumption of natural capital reserves by human activities' carbon emissions. Based on the 3D carbon footprint model, this paper calculated the CF, CF, and CF for four different urban agglomerations of China (BTH, YRD, PRD, and CY) spanning from 2000 to 2017.
View Article and Find Full Text PDFJ Public Health Manag Pract
January 2025
Department of Environmental Medicine and Public Health (Mr Bland, Dr Zajac, Ms Guel, Dr Pendley, Dr Galvez, Dr Sheffield), Icahn School of Medicine at Mount Sinai, New York, New York; Harvard Kenneth C. Griffin Graduate School of Arts and Sciences (Mr Wilson), Boston, Massachusetts; Environmental Research and Translation for Health (EaRTH) Center (Ms Charlesworth), University of California, San Francisco, California; Community Engagement Core, Environmental Health Sciences Center at Department of Environmental Medicine (Dr Korfmacher), University of Rochester Medical Center, Rochester, New York; Pediatric Environmental Health and Cincinnati Children's Hospital Medical Center (Dr Newman), Cincinnati, Ohio; Philadelphia Regional Center for Children's Environmental Health, Center of Excellence in Environmental Toxicology, Perelman School of Medicine (Dr Howarth), University of Pennsylvania, Philadelphia, Pennsylvania; and Division of Academic General Pediatrics, Children's Hospital at Montefiore (Dr Balk), Albert Einstein College of Medicine, Bronx, New York.
The integration of environmental health (EH) into routine clinical care for children is in its early stages. The vision of pediatric EH is that all clinicians caring for children are aware of and able to help connect families to needed resources to reduce harmful environmental exposures and increase health-enhancing ones. Environmental exposures include air pollution, substandard housing, lead, mercury, pesticides, consumer products chemicals, drinking water contaminants, industrial facility emissions and, increasingly, climate change-related extreme weather and heat events.
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