While the state of sanitation in Pakistan has improved in the last decade, a signi cant proportion of its population is still using inadequate sanitation or no toilet facility at all. Open defecation has decreased over the years; however, it has been replaced by poor quality sanitation in rural areas that might still cause diarrhoea and undernutrition. The research regarding inadequate sanitation in Pakistan, especially in terms of the sanitation ladder, remains limited. The present research thus lls this research gap by assessing the impact of different types of sanitation on the prevalence of stunting and underweight (moderate as well as severe) among under-ve children in Pakistan using the nationally representative micro survey, Pakistan Demographic and Health Survey (2017-18). The sanitation ladder comprises of Piped to Sewer (highest level, base) followed by Flush to Septic Tank, Flush to Pit Latrine, Other Improved, Unimproved Sanitation, and Open Defecation. In order to estimate the adjusted and unadjusted odds ratios of the determinants, this research uses logistic regressions are used to estimate adjusted and unadjusted odds ratios of the determinants. We show that toilets connected to piped sewerage network are rare in the rural areas of Pakistan and a large segment of the rural population is still practicing open defecation. The logistic regressions show that piped sewerage network and ush to septic tanks are associated with lowest odds (both adjusted and unadjusted) of stunting and underweight among underve children. In multivariate regressions, pit latrines are associated with even higher adjusted odds of severe and moderate and severe stunting as well as underweight among under-ve children, showing that poor quality pit latrines may bring the source of faecal contamination to the doorstep of the households. Therefore, interventions targeting reduction in open defecation should promote good quality toilets for sustainable long-term improvements in child health.
Aerodynamic lift force acting on the solar structure is important while designing the counterweight for rooftop-mounted solar systems. Due to their unique configuration, the load estimated for solar structures using international building codes can be either higher or lower than the actual. Computational Fluid Dynamics(CFD) simulations haveproven to be an efficient tool for estimating wind loads on solar panels for design purposes and identifying critical design cases.Computational Fluid Dynamics (CFD) simulations usually require high computation power, and slight changes in geometry to find optimum configuration can be time-consuming. An optimization method to minimize lift force effects on solar photovoltaic (PV) arrays installed on rooftops usesthe Computational Fluid Dynamics (CFD)and genetic algorithms proposed in this paper. The tilt angle and pitch between two rows of solar panels were parameterized, and a genetic algorithm was used to search for aconfiguration resulting in minimum wind lift force acting on the solar photovoltaic plant. Only combinations with a performance ratio > 80% were considered. Three different rooftopphotovoltaic (PV) plant layout configurations wereanalyzed in this research. Two rows of photovoltaic (PV) panel arrays wereconsidered for optimization in the 2D domain using ANSYS Fluent. Results showed that the difference in wind-liftforce between optimized configurations against that with maximum lift force configuration for all three cases above was fifty percent.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.