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Mapping environmental noise of Guangzhou based on land use regression models.
J Environ Manage
January 2025
Department of Epidemiology and Statistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China. Electronic address:
Background: Environmental noise seriously affects people's health and life quality, but there is a scarcity of noise exposure data in metropolitan cities and at nighttime, especially in developing countries.
Objective: This study aimed to assess the environmental noise level by land use regression (LUR) models and create daytime and nighttime noise maps with high-resolution of Guangzhou municipality.
Methods: A total of 100 monitoring sites were randomly selected according to population density.
Sustainable reduction in sound levels on intensive care units through noise management - an implementation study.
BMC Health Serv Res
January 2025
Center of Implementing Nursing Care Innovations Freiburg, Nursing Direction, Medical Center - University of Freiburg, Freiburg, Germany.
Background: The noise levels in intensive care units usually exceed the recommended limits in (inter)national recommendations. Such noise levels can affect both the recovery of intensive care patients and the performance of staff. The aim of this study was to reduce ward-based noise levels in three intensive care units (anesthesiological, neurological, and neonatological).
View Article and Find Full Text PDFResearch on short-term precipitation forecasting method based on CEEMDAN-GRU algorithm.
Sci Rep
December 2024
School of Information Science and Control Engineering, Liaoning Petrochemical University, Fushun, 113005, China.
Precipitation forecasting is vital for managing disasters, urban traffic, and agriculture. This study develops an improved model for short-term precipitation forecasting by combining Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and Gated Recurrent Unit (GRU). Using precipitation data from January 1, 2019, to December 31, 2022, as a sample, the model capitalizes on CEEMDAN's superior signal decomposition capabilities and GRU's ability to capture nonlinear dynamic patterns in time series.
View Article and Find Full Text PDFImpacts of environmental parameters on sick building syndrome prevalence among residents: a walk-through survey in Rasht, Iran.
Arch Public Health
December 2024
Department of Environmental Sciences, Faculty of Natural Resources, University of Guilan, Someh Sara, Guilan, Iran.
Background: This study evaluated the prevalence of sick building syndrome (SBS) in Rasht, Iran, a subtropical climate with wetter cold season city, during the autumn and winter months of 2020, focusing on the effects of noise and ventilation.
Methods: A total of 420 residents completed the indoor air climate questionnaire (MM040EA), and a walk-through survey of 45 randomly selected residential units assessed environmental noise, ventilation rate, and luminous conditions.
Results: Approximately 38.
Exposure to green space, nighttime light, air pollution, and noise and cardiovascular disease risk: A prospective cohort study.
Environ Pollut
December 2024
Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, 750004, China.
Current literature lacks information regarding impacts of green spaces on susceptibility to cardiovascular disease (CVD) related to harmful environmental exposures. The UK Biobank cohort study was utilized to investigate whether green spaces can mitigate risks associated with air pollutants, nighttime light, noise, and traffic intensity. Latent Profile Analysis was performed on green spaces and adverse environmental exposures in order to assess individual level exposure.
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