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Modeling bacterial attenuation in onsite waste-water treatment systems using the active region model and column-scale data
Environmental Earth Sciences 74(6), pp. 4827-4837, doi: 10.1007/s12665-01 Abstract Bacterial attenuation in porous media is often higher in columns than in the field. This study investigates whether this
Why the immorality of consuming alcohol during pregnancy cannot tell us that abortion is immoral: A reply to Hendricks
in: BioethicsAbstractRecently, Perry Hendricks argued that abortion is immoral even if the fetus is not a person. He did so by arguing that causing a future child to suffer from fetal alcohol syndrome
A popular misapplication of evolutionary modeling to the study of human cooperation
Evolution and Human Behavior, Volume 38, Issue 3, Pages 421–427. Abstract To examine the evolutionary basis of a behavior, an established approach (known as the phenotypic gambit) is to assume that the b
Applying spatial regression to evaluate risk factors for microbiological contamination of urban groundwater sources in Juba, South Sudan
Hydrogeology Journal 25(4) pp. 1077-1091, doi: 10.1007/s10040-016-1504-x Abstract This study developed methodology for statistically assessing groundwater contamination mechanisms. It focused on microbiahumanitarian aid organisation Médecins Sans Frontières in 2010. The factors included hydrogeological settings, land use and socio-economic characteristics. The results showed that the residuals of a conventional probit regression model had a significant positive spatial autocorrelation (Moran’s I =3.05, I-stat = 9.28); therefore, a spatial model was developed that had better goodness-of-fit to the observations. The mostsignificant factor in this model (p-value 0.005) was the distance from a water source to the nearest Tukul area, an area with informal settlements that lack sanitation services. It is thus recommended that future remediation and monitoring efforts in the city be concentrated in such low-income regions. The spatial model differed from the conventional approach: in contrast with the latter case, lowland topography was not significant at the 5% level, as the p-value was 0.074 in the spatial model and 0.040 in the traditional model. This study showed that statistical risk-factor assessments of groundwater contamination need to consider spatial interactions when the water sources are located close to each other. Future studies might further investigate the cut-off distance that reflects spatial autocorrelation. Particularly, these results advise research on urban groundwater quality.