This study conducts a life cycle environmental and economic quantification comparison of urban runoff source control facilities (URSCFs) through construction and operation stages in two urban functional regions (i.e., residential area and campus). From the environmental perspective, URSCFs construction in residential area has both higher environmental impacts and benefits than that in campus. The operation stage of URSCFs can observe significant benefit for both residential area and campus. We then develop a set of monetized method to make a comprehensive benefit evaluation (i.e., environmental, economic, and social benefit) of URSCFs. Overall, the two areas have payback time less than thirteen years for their investment which is acceptable when compared with the assumed total service period (30 years). Specifically, the payback time of campus is 5.62 years and residential area is 12.44 years. This implies that the campus has great potential to achieve high cost-benefit ratio and thus the Sponge City construction in campus can implement URSCFs with less engineering and material consumption due to its more spacious site than residential area with high building density. For both residential area and campus, permeable pavement has the highest environmental impact and economic cost because of the concrete consumption. Thus, we recommend that it should be cautious of the construction of concrete permeable pavement and find environmentally and economically alternatives in future URSCFs projects.
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http://dx.doi.org/10.1016/j.jenvman.2021.114230 | DOI Listing |
J Intellect Dev Disabil
September 2024
School of Nursing and Midwifery, Trinity College Dublin, Dublin, Ireland.
Constipation impacts health-related quality of life with a burden similar to other chronic conditions. This study characterises the prevalence of constipation and its associated factors in older adults with intellectual disability. Data from the Intellectual Disability Supplement of The Irish Longitudinal Study on Ageing was analysed using bivariate and multivariate approaches.
View Article and Find Full Text PDFBMC Public Health
January 2025
Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, 99199-91766, Iran.
Background: Urbanization is expanding in Iran, leading to the emergence of three distinct socio-geographical areas: urban, rural, and suburban areas. These different areas may exhibit significant variations in dietary patterns. This study investigates the association between people's place of residence and their consumption of different food groups.
View Article and Find Full Text PDFInt J Geriatr Psychiatry
January 2025
Department of Social Welfare, Ewha Womans University, Seoul, Republic of Korea.
Background: This study seeks to analyze the trajectories of residential satisfaction among older adults before and after relocation and explore the variability in the relationship between relocation and residential satisfaction based on changes in housing conditions during the relocation process.
Methods: Utilizing a nationally representative longitudinal dataset of older adults (N = 2718), this study employs individual-level fixed effect regression models to estimate the association between the timing of relocation and residential satisfaction. Stratified analyses are also conducted to explore how this association varies based on changes in housing conditions.
J Prev Alzheimers Dis
January 2025
Department of Neurology, National Health Insurance Service Ilsan Hospital, Goyang, South Korea. Electronic address:
Background: Early-onset dementia (EOD) and late-onset dementia (LOD) may have distinct modifiable risk-factor profiles.
Objective: To identify and compare factors associated with EOD and LOD using a nationwide cohort database.
Design: Nationwide two nested case-control studies.
PLoS One
January 2025
Waste Data and Analysis Center, Department of Technology & Society, Stony Brook University, Stony Brook, New York, United States of America.
The composition of solid waste affects technology choices and policy decisions regarding its management. Analyses of waste composition studies are almost always made on a parameter by parameter basis. Multivariate distance techniques can create wholisitic determinations of similarities and differences and were applied here to enhance a series of waste composition comparisons.
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