LandScan
A Global Population Database for Estimating Populations at Risk

Natural disasters and nuclear, biological, and chemical (NBC) releases place vast populations at risk, often with little or no advance warning. Consider the following examples: An industrial plant releases hazardous chemicals into the atmosphere, as Union Carbide's plant did in Bhopal, India in 1984. A nuclear power plant releases radiation, as Chernobyl did in 1986. Toxic gases spread from a terrorist's bomb, as sarin did in Tokyo, Japan in 1994. These examples represent global threats to local places. Emergency response by the United Nations, the United States, and other national and international organizations requires simulation of contaminant transport by air and water plus improved estimates of global population distribution. Geographic information is essential for quick and effective response. How will the contaminant be dispersed? Where will it go? How many people are at risk? Who are they? Where are they? Air diffusion models available today are capable of estimating contaminant plumes at spatial resolutions far exceeding those of the official censuses available for most countries. For many years, the U.S. Census Bureau has enhanced the precision of global population estimates through a manual procedure designed to allocate rural populations to 20' X 30' cells and urban populations to circles centered on major population concentrations. Yet, analysis of most hazardous releases requires data resolutions on the order of 1 square kilometer or even finer. To meet this need, Oak Ridge National Laboratory (ORNL) developed an automated procedure to allocate rural and urban population distributions to 30" X 30" (arc view) cells. The resulting population distribution can be used for (a) emergency response to natural disasters, terrorist incidents, or industrial accidents; (b) humanitarian relief in famines and other long term disasters; (c) estimation of populations affected by global sea level rise; and (d) numerous other environmental and demographic applications.

LandScan Document

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