Groundwater quality and potential analysis using geospatial techniques: The case of Ashanti Region in Ghana.

The ecosystem and economy's reliance on clean water is influenced by various factors such as geology, topography, soil types, activities, and the presence of plants and animals. The Ghana Water Company is encountering difficulties in delivering water to consumers in the Ashanti Region due to the shortage of surface water resources, leading to water rationing in the area. Furthermore, poor waste disposal practices, illegal mining, use of fertilizers, and industrial activities have resulted in surface and groundwater source damage. Therefore, there is a need to implement a reliable, simple, and timely method to assess groundwater quality. This study aims to employ GIS and RS techniques to evaluate groundwater quality and potential in the Ashanti Region, Ghana. The Water Quality Index (WQI) was estimated using pH, Total Dissolve Solid (TDS), Chloride, Total Hardness (TH), Nitrate, Temperature, Turbidity, Iron, and Electrical Conductivity (EC). The study then used the WQI distribution to conduct a groundwater potential analysis to identify suitable areas for borehole placement. Digital thematic layers and maps were developed to expose the spatial distribution of water quality parameters, enabling the identification of groundwater pollution control and remedial measures. The study estimated the region's groundwater potential using an integrated GIS and Analytical Hierarchical Process (AHP) technique, grouping under excellent, good, fair, and poor potential. The WQI in the Ashanti Region ranged from 5.208 to 134.232, with 32.252% of the study area having an excellent WQI and 60.168% of the study area having a good WQI. Poor water quality covered 7.550% of the study area. The results showed that the GIS-based AHP approach accurately mapped the spatial distribution of WQI and Groundwater Potential Zones (GWPZ). This information is helpful to planners in water resource management in groundwater exploration and future planning. Policymakers and stakeholders must ensure that groundwater sources are protected from pollution.

Gender differences in injury severity risks in crashes at signalized intersections.

This paper analyzes gender differences in crash risk severities using data for signalized intersections. It estimates gender models for injury severity risks and finds that driver condition, type of crash, type of vehicle driven and vehicle safety features have different effects on females' and males' injury severity risks. Also, it finds some variables which are significantly related to females' injury severity risks but not males' and others which affect males' injury severity risks but not females'. It concludes that better and more in-depth information about gender differences in injury severity risks is gained by estimating separate models for females and males.

Injury severity, vehicle safety features, and intersection crashes.

OBJECTIVE: This article examines injury severity in crashes that occur within signalized intersections and identifies some factors that explain them. METHOD: It uses a random effect ordered logit model and an unbalanced longitudinal panel data for 303 intersections for one medium-size city. RESULTS: Among its findings are 3% and 0.29% lower probabilities of sustaining evident and disabling injuries respectively when vehicle occupants wear three-point seat belts and corresponding 1.71% and 0.16% lower probabilities when they wear only shoulder belts. Also, the probabilities of sustaining evident and disabling injuries reduce by 0.87% and 0.08% when vehicles with airbags are involved in crashes. But, when front airbags deploy the probabilities of sustaining disabling, evident, and possible injuries increase by 1.3%, 11.93%, and 26.80%, respectively. Similarly, both side airbags deploying increases disabling and evident injuries by 1.8% and 15.53%, respectively. In addition, we find that the probability of sustaining severe injuries increases in head-on crashes. CONCLUSION: These results emphasize the effectiveness of seat belt use, especially three-point seat belts, the inclusion of airbags in all vehicles, increased awareness of possible injuries from airbags deploying, signalized intersection designs that include pedestrian crossing signals, and additional research to identify the predominant types of injuries associated with airbags deploying.

Atypical cystic meningioma of the trigeminal nerve in a pediatric patient.

SUMMARY: We report an unusual case of atypical cystic meningioma of the trigeminal nerve proved by histology in a 15-year-old white girl. A review of the literature showed that this is only the second reported case of a meningioma of the trigeminal nerve without dural attachment and the first occurrence in a pediatric patient.

Some determinants of possible injuries in crashes at signalized intersections.

INTRODUCTION: This paper identifies some determinants of possible injuries from crashes that occur at signalized intersections using a conditional probability model. METHOD: It uses longitudinal data for one city and calculates the marginal effects of these determinants. RESULTS: Among its findings, an airbag deploying in a crash reduces the conditional probability of sustaining possible injury. The size of this decrease is similar for the front airbag or both side airbags deploying. When crashes occur because a driver suddenly falls ill, or because a driver has an existing medical condition that flares up, the results show that the conditional probability of sustaining possible injury increases by 0.1414 and 0.1217, respectively. In comparison the conditional probability of sustaining possible injury increases by 0.0706 when the crash is because of impairment from drugs or alcohol. Additionally, the probability of sustaining possible injury in the event of a crash is 0.0435 and 0.0459 higher in passenger cars and vans respectively than in other vehicles. CONCLUSIONS: Comparing these results to those in the traffic safety literature, the marginal effects from national data are similar to those from local level data.