Laserfiche WebLink
<br />4 <br /> <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br /> <br />Definition of Loss, Damage, and Damage Estimates <br />Researchers specializing in natural hazards have expressed a need for more complete <br />documentation of losses, including both direct and indirect costs associated with flooding (Mileti <br />1999; National Research Council 1999; Heinz Center 2000). Direct costs are closely connected <br />to a flood event and the resulting physical damage, In addition to immediate losses and repair <br />costs they include short-term costs stemming directly from the flood event, such as flood <br />fighting, temporary housing, and administrative assistance, By contrast, indirect costs are <br />incurred in an extended time period following a flood, They include loss of business and <br />personal income (including permanent loss of employment), reduction in property values, <br />increased insurance costs, loss of tax revenue, psychological trauma, and disturbance to <br />ecosystems. They tend to be more difficult to account for than direct costs (Heinz Center 2000), <br /> <br />The NWS describes its flood loss data as estimates of "direct damages" including, for <br />example, loss of property and crops and costs of repairing damaged buildings, roads, and <br />bridges. The NWS estimates have usually been restricted to direct physical damage, a subset of <br />the losses generally considered to be direct costs, <br /> <br />The dollar figures in the NWS damage data are estimates compiled soon after each flood <br />event, before the actual costs of repair and replacement can be known, They are not verified by <br />comparison with actual expenditures, The estimates are gathered from diverse sources, some <br />who use accurate estimation methods (e,g, insurance companies) and others who do not (e,g, <br />newspapers), Therefore, NWS damage data are best described, not as "loss data", but as <br />"damage estimates," <br /> <br />D. Purpose and Methods <br />Objectives of this study are (1) to assemble a national database of historical flood damage <br />based on NWS damage estimates, making it as complete and consistent as possible; (2) to <br />describe what the estimates represent; (3) to evaluate the accuracy and consistency of the <br />estimates; and (4) to develop guidelines for use of the data and make it widely available to users, <br />Steps followed to achieve these objectives are described below, <br /> <br />1. Compilation of historical flood damage data sets. <br />The NWS Hydrologic Information Center (NWS-HIC) is responsible for compiling and <br />archiving flood damage estimates collected from NWS field offices throughout the U,S, Its staff <br />members provided several data sets and access to files and publications archived in their office at <br />Silver Spring, Maryland, This report augments published NWS data with information from <br />NWS files and reports of other federal and state agencies, The following data sets are presented: <br /> <br />a, Estimated flood damage in the United States (1926-1979 and 1983-2000, by fiscal year); <br />b. Estimated flood damage for each state in the U,S, (1955-1979, by calendar year, and 1983- <br />2000, by fiscal year); and <br />c, Estimated flood damage, by river basin and drainage, for the U,S, (1933-1975, by calendar <br />year), <br />