The influence of area-based socioeconomic (SE) conditions on environmental quality conditions has recently been reported showing the precise spatial relationship between area-based SE conditions and neighborhood environmental quality in an urban area in a low-income setting. Nonetheless, there is still a lack of understanding of the nature of the relationship on a temporal scale. This study aimed to investigate the dynamic temporal relationship between area-based SE conditions and urban environmental quality conditions over a decadal period in Accra, Ghana. The results showed that there were differences in environmental quality across the SE quintiles in space (with regard to per capita waste generation (p < 0.012), waste collection/clearing (p < 0.01), and waste deposition (p < 0.001) and that the urban environmental quality conditions had changed dramatically over the decade for most of the environmental variables (p < 0.001). Despite the enormous urban development initiatives, some of the environmental quality indicators (e.g., proportion of households without flush toilet/Water Closet, connection to central sewer p < 0.001) appeared to have worsened in the high class quintile, suggesting that a high proportion of households were without acceptable sanitation facilities. The study concludes that urban development in low-income countries will need to follow strictly international best practice by observing standardized building codes and guidelines, if progress should be made in meeting the Millennium Development Goals targets.
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http://dx.doi.org/10.1007/s00267-019-01150-1 | DOI Listing |
PLoS One
January 2025
School of Environmental Engineering, Yellow River Conservancy Technical Institute, Kaifeng Key Laboratory of Food Composition and Quality Assessment, Kaifeng, China.
Antibiotic resistance is a critical global public health issue. The gut microbiome acts as a reservoir for numerous antibiotic resistance genes (ARGs), which influence both existing and future microbial populations within a community or ecosystem. However, the differences in ARG expression between fresh and composted feces remain poorly understood.
View Article and Find Full Text PDFIntegr Environ Assess Manag
January 2025
Department of Environmental Health Engineering, Faculty of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
This study aimed to evaluate the concentrations of sulfur dioxide (SO2) and nitrogen oxides (NOX) around the Qom (a province in Iran) combined cycle power plant in relation to seasonal variations and fuel type from December 2014 to May 2015. Passive sampling was used in three monitoring sites around the power plant to assess noncarcinogenic health risks associated with exposure to SO2 and NOX. Results showed the higher concentrations of NOX and SO2 in winter than in spring.
View Article and Find Full Text PDFIntegr Environ Assess Manag
January 2025
Federal University of the Agreste of Pernambuco, Garanhuns, Brazil.
The proliferation of cyanobacteria has become a significant water management challenge due to the increasing eutrophication of water supply reservoirs. Cyanobacterial blooms thrive on elevated nutrient concentrations and form extensive green mats, disrupting the local ecosystem. Furthermore, many cyanobacterial species can produce toxins that are lethal to vertebrates called cyanotoxins.
View Article and Find Full Text PDFJ Proteome Res
January 2025
Department of Comparative Pathobiology, Purdue University, West Lafayette, Indiana 47907, United States.
The daily light-dark cycle is a recurrent and predictable environmental phenomenon to which many organisms, including cyanobacteria, have evolved to adapt. Understanding how cyanobacteria alter their metabolic attributes in response to subjective light or dark growth may provide key features for developing strains with improved photosynthetic efficiency and applications in enhanced carbon sequestration and renewable energy. Here, we undertook a label-free proteomic approach to investigate the effect of extended light (LL) or extended dark (DD) conditions on the unicellular cyanobacterium ATCC 51142.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
Intelligent Transportation Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511455, China.
Integrating mobile monitoring data with street view images (SVIs) holds promise for predicting local air pollution. However, algorithms, sampling strategies, and image quality introduce extra errors due to a lack of reliable references that quantify their effects. To bridge this gap, we employed 314 taxis to monitor NO, NO, PM, and PM, and extracted features from ∼382,000 SVIs at multiple angles (0°, 90°, 180°, 270°) and buffer radii (100-500 m).
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