Epidemiology of tornado destruction in rural northern Bangladesh: risk factors for death and injury

The epidemiology of tornado-related disasters in the developing world is poorly understood. An August 2005 post-tornado cohort study in rural Bangladesh identified elevated levels of death and injury among the elderly (≥ 60 years of age) (adjusted odds ratio (AOR) = 8.9 (95 per cent confidence interval (CI): 3.9-20.2) and AOR = 1.6 (95 per cent CI: 1.4-1.8), respectively), as compared to 15-24 year-olds, and among those outdoors versus indoors during the tornado (AOR = 10.4 (95 per cent CI: 5.5-19.9) and AOR = 6.6 (95 per cent CI: 5.8-7.5), respectively). Females were 1.24 times (95 per cent CI: 1.15-1.33) more likely to be injured than males. Elevated risk of injury was significantly associated with structural damage to the house and tin construction materials. Seeking treatment was protective against death among the injured, odds ratio = 0.08 (95 per cent CI: 0.03-0.21). Further research is needed to develop injury prevention strategies and to address disparities in risk between age groups and between men and women.     

Economic,ecological, and equity dimensions of brownfield redevelopment plans for environmental justice communities in the USA

ABSTRACT

This paper employs qualitative content analysis to assess 28 brownfield redevelopment plans produced as part of a US Environmental Protection Agency programme. The analysis framework followed the economic, ecological, and social equity dimensions of sustainable development. The findings illustrate that, in terms of economic dimensions, most plans discussed financing the overall project, but few mentioned site values or the pivotal cost of remediating brownfield sites or addressed questions related to liability, the transfer of ownership of sites, or the end use of remediated sites. In terms of ecological dimensions, while many plans suggested “green” uses of existing brownfields, few discussed the impacts of the plans on urban ecological issues or offered technical feasibility of remediating the sites. In terms of social equity dimensions, half of the plans described potential local jobs stemming from the proposed redevelopment, but many did not discuss the human impacts of remediating contaminated sites or the costs of doing nothing. Most plans mentioned community engagement methods but not their outcomes, making the degree to which the lessons gleaned from such engagement influenced the plans totally unclear. Despite the programme’s explicit focus on the nexus of environmental justice and local environments, many plans struggled to address the topic in favour of tackling broader economic, environmental, and equity issues. Overall, this paper contributes to the understanding of brownfield redevelopment planning by not only summarising and synthesising the tendencies of existing plans but also suggesting strategies to address areas in which current planning efforts fall short.     

Equitable distribution of green stormwater infrastructure: a capacity-based framework for implementation in disadvantaged communities

This study seeks to understand the factors that influence the variability in distribution of public and private sector investments in green stormwater infrastructure (GSI) projects across the diversity of neighbourhoods in the City of Philadelphia, PA, U.S.A. using indicators of community context and capacity. For this study, context is defined as characteristics of disadvantaged communities and capacity as factors that facilitate individual and collective action. Community context and capacity are deemed integral to the success of the Philadelphia GSI programme as the Philadelphia Water Department is relying upon collaborative approaches to facilitate public investments in neighbourhoods and voluntary implementation of GSI practices on publically and privately owned lands. Private sector investments in GSI mandated by stormwater regulations for new construction and major rehabilitation also are assessed in relation to these two sets of indicators. The geographic information systems and statistical analyses reveal an inequitable distribution of GSI projects, which largely is driven by market forces. The paper concludes with a community capacity-based framework to prioritise public sector investment in disadvantaged communities to achieve more equitable distribution of GSI projects and associated benefits.     

Suitable Housing Placement: A GIS-Based Approach

The intent of this paper is to operationalize some aspects of local sustainability in a suitable development scenario and to compare its energy-use and environmental impacts to trend development. After a discussion of suburban sprawl, local sustainability, and the current state of the Pennypack Creek Watershed in the Philadelphia metro region, these residential location scenarios are presented. The latter were created using geographic information systems software and are based on projections from the Delaware Valley Regional Planning Commission. The impacts of the scenarios on energy use, air emissions, greenhouse gas emissions, water quality, and biological integrity were estimated with very few data, and the effect on the value of generic ecosystem services was assessed. The suitable development scenario was 29% better in terms of energy use and air and greenhouse gas emissions, 2.4% worse on water quality, and 2.6% better with respect to biological integrity. Given its net beneficial results, recommendations for policies to engender suitable development are made, and an outline of an implementation plan is proposed. Thoughts regarding refinements of the present work and the applicability of the methods used here to other watersheds conclude the work.     

Water Resources Modeling of the Ganges‐Brahmaputra‐Meghna River Basins Using Satellite Remote Sensing Data1

Nishat, Bushra and S.M. Mahbubur Rahman, 2009. Water Resources Modeling of the Ganges‐Brahmaputra‐Meghna River Basins Using Satellite Remote Sensing Data. Journal of the American Water Resources Association (JAWRA) 45(6):1313‐1327. Abstract: Large‐scale water resources modeling can provide useful insights on future water availability scenarios for downstream nations in anticipation of proposed upstream water resources projects in large international river basins (IRBs). However, model set up can be challenging due to the large amounts of data requirement on both static states (soils, vegetation, topography, drainage network, etc.) and dynamic variables (rainfall, streamflow, soil moisture, evapotranspiration, etc.) over the basin from multiple nations and data collection agencies. Under such circumstances, satellite remote sensing provides a more pragmatic and convenient alternative because of the vantage of space and easy availability from a single data platform. In this paper, we demonstrate a modeling effort to set up a water resources management model, MIKE BASIN, over the Ganges, Brahmaputra, and Meghna (GBM) river basins. The model is set up with the objective of providing Bangladesh, the lowermost riparian nation in the GBM basins, a framework for assessing proposed water diversion scenarios in the upstream transboundary regions of India and deriving quantitative impacts on water availability. Using an array of satellite remote sensing data on topography, vegetation, and rainfall from the transboundary regions, we demonstrate that it is possible to calibrate MIKE BASIN to a satisfactory level and predict streamflow in the Ganges and Brahmaputra rivers at the entry points of Bangladesh at relevant scales of water resources management. Simulated runoff for the Ganges and Brahmaputra rivers follow the trends in the rated discharge for the calibration period. However, monthly flow volume differs from the actual rated flow by (?) 8% to (+) 20% in the Ganges basin, by (?) 15 to (+) 12% in the Brahmaputra basin, and by (?) 15 to (+) 19% in the Meghna basin. Our large‐scale modeling initiative is generic enough for other downstream nations in IRBs to adopt for their own modeling needs.