Social capital's role in recovery: evidence from communities affected by the 2010 Pakistan floods

Pakistan suffered large‐scale flooding in summer 2010 that caused damage amounting to approximately USD 43 billion, claimed the lives of at least 1,700 people, and negatively affected some 20 million others. Observers have debated the degree to which social capital plays a role in recovery after a catastrophe of this magnitude. Using new survey data on 450 residents impacted by the disaster, this study found that, controlling for various confounding factors, the social capital levels of victims serve as robust correlates of life recovery. Other important variables connected with recovery include education and income, family size, occupation, material damage suffered, stability of home, and trauma experience. The findings point to a number of relevant policy recommendations, most notably that during and following major shocks, disaster managers should work to keep the social networks of victims intact so that they can benefit from interaction with family, friends, and neighbours.     

Bioaccumulation of metals in human blood in industrially contaminated area

The consumption of contaminated food crops, meat and milk has significantly increased the concentrations of trace metals in human blood as compared to the control area.     

Predicting impacts of major projects on housing prices in resource based towns with a case study application to Gladstone,Australia

The resources sector in Australia makes a major contribution to the national economy, and underpins employment and population in the mining and mineral processing towns. For those towns, rapid growth in employment can generate particular pressures in local housing markets because of the relatively large size of the industry and the small housing stocks involved. Through a case study of Gladstone, the study provides a dynamic five-step population and housing model, to estimate short to medium term mining impacts of major resource developments. The model includes both the direct and indirect labour force generated by new resource sector developments and their flow-on effects on population increases. Sensitivity testing has allowed for different levels of resource development, employment multipliers and labour inflows. Three different approaches have then been applied to predict the housing price impacts of the expected population growth.     

Clustering the Concentrations of PM10 and O3: Application of Spatiotemporal Model–Based Clustering

Environmental Modeling & Assessment - Air pollution data are large-scale datasets that can be analyzed in low scales by clustering to recognize the pattern of pollution and have simpler and...