ABSTRACT
Objective:To investigate the total radioactivity in drinking well water around the Bayanwula uranium mine.Methods:Totally 174 samples of drinking well water and 5 samples of filtered well water from residential houses were collected during dry and wet seasons in 2020 around the Bayanwula uranium mine. Total α and total β radioactivity in dry season and wet season were analyzed for detrmining whether there were differences between them and the relation between total radioactivity with different locations away from the uranium center. The radioactivity in filtered drinking well water used in residential houses was also investigated. Radioactivity were measured and analyzed using low background alpha and beta radioactivity meters, and the data were analysed using SPSS analytical statistical method.Results:In the drinking well water around Bayanwula uranium mine, the activity concentrations of total α and β measured in dry season were 0.024-2.468 Bq/L with a mean of (0.605±0.507) Bq/L and 0.125-1.395 Bq/L with a mean of (0.420±0.235) Bq/L, respectively. The values measured in wet season were 0.049-2.988 Bq/L with a mean of (0.825±0.605) Bq/L for total α and 0.059-1.623 Bq/L with a mean of (0.506±0.265) Bq/L for total β, respectively. The average value of total radioactivity in water samples was lower within 10, 30 and 20 km of the uranium mine in the descending order.Conclusions:The radioactivity in well water around the Bayanwula uranium mine is high, with the total α and β in samples greater in wet season than in the dry season and without elevated levels as compared to the pre-mining background.
ABSTRACT
Abstract Introduction: Climatic variables show a seasonal pattern in the central Amazon, but the intra-annual variability effect on tree growth is still unclear. For variables such as relative humidity (RH) and air vapor pressure deficit (VPD), whose individual effects on tree growth can be underestimated, we hypothesize that such influences can be detected by removing the effect of collinearity between regressors. Objective: This study aimed to determine the collinearity-free effect of climatic variability on tree growth in the central Amazon. Methods: Monthly radial growth was measured in 325 trees from January 2013 to December 2017. Irradiance, air temperature, rainfall, RH, and VPD data were also recorded. Principal Component Regression was used to assess the effect of micrometeorological variability on tree growth over time. For comparison, standard Multiple Linear Regression (MLR) was also used for data analysis. Results: Tree growth increased with increasing rainfall and relative humidity, but it decreased with rising maximum VPD, irradiance, and maximum temperature. Therefore, trees grew more slowly during the dry season, when irradiance, temperature and VPD were higher. Micrometeorological variability did not affect tree growth when MLR was applied. These findings indicate that ignoring the correlation between climatic variables can lead to imprecise results. Conclusions: A novelty of this study is to demonstrate the orthogonal effect of maximum VPD and minimum relative humidity on tree growth.
Resumen Introducción: Las variables climáticas muestran un patrón estacional en la Amazonía central, pero el efecto de la variabilidad intra-anual en el crecimiento de los árboles aún no está claro. Para variables como la humedad relativa (HR) y el déficit de presión de vapor (VPD), cuyo efecto individual en el crecimiento de los árboles puede ser subestimada, planteamos la hipótesis de que tales influencias pueden detectarse eliminando el efecto de colinealidad entre regresores. Objetivo: Este estudio tuvo como objetivo determinar el efecto libre de colinealidad de la variabilidad climática sobre el crecimiento de los árboles en la Amazonía central. Métodos: Se midió el crecimiento radial mensual en 325 árboles desde enero 2013 hasta diciembre 2017. También se registraron datos de irradiancia (PAR), temperatura del aire, lluvia, humedad relativa (RH) y déficit de presión de vapor de aire (VPD). Se utilizó la regresión de componentes principales para evaluar el efecto de la variabilidad micrometeorológica a lo largo del tiempo sobre el crecimiento de los árboles. Para comparación, también se utilizó la regresión lineal múltiple (MLR) estándar para el análisis de datos. Resultados: El crecimiento de los árboles incrementó con el aumento de las precipitaciones y la humedad relativa, y disminuyó con el aumento de la VPD máxima, la irradiancia y la temperatura máxima. Por lo tanto, los árboles crecieron más lentamente durante la estación seca, cuando la irradiancia, la temperatura y la VPD eran más altas. La variabilidad micrometeorológica no afectó el crecimiento de los árboles cuando se aplicó MLR. Estos hallazgos indican que ignorar la correlación entre las variables climáticas puede conducir a resultados imprecisos. Conclusiones: Una novedad de este estudio es demostrar el efecto ortogonal del VPD máximo y la humedad relativa mínima sobre el crecimiento de los árboles.
Subject(s)
Trees/growth & development , Amazonian Ecosystem , SyntenyABSTRACT
Season is known to influence human secondary sex ratio but information on this subject is lacking in Nigeria. The objective of this study was to determine the secondary sex ratio (SSR) during the wet and dry seasons in Nigeria. In this retrospective cohort study, the records of all deliveries at St Philomena Catholic Hospital (SPCH), Benin City, Edo State, Nigeria between 1st January, 2005 and 31st December, 2014 (10 years) were retrieved and analyzed. The births were recorded according to the year and month of delivery. Stillbirths and infants with ambiguous genitalia were excluded from the analyses. The total number of live-births during the 10-year period under review was 13,702 and this consisted of 7,007 males and 6,695 females, resulting in a secondary sex ratio of 104.6:100 (1.05:1). In general, the monthly distribution of births was bimodal with a greater peak in May and a lesser peak in October with the highest and lowest SSRs in the months of June and March, respectively. In the dry season, the proportion of male births was higher than the proportion of female births; p > 0.05. In contrast, in the wet season the proportion of male births was lower than the proportion of female births; p > 0.05. In addition, the SSR was higher in the dry season (1.04) compared with the wet season (0.99). In Edo State, Nigeria, the proportion of male births tended to be higher than the proportion of female births during the dry seasons.