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- W3389795 abstract "Degradation of construction materials due to acid deposition is largely an economic issue; its importance is measured in dollars. To estimate these costs requires information on the distribution of various types of construction materials, i.e., the stock at risk'' in the built environment, in addition to appropriate dose-response functions and many other data inputs. The data on material (chemical) composition must be sufficiently detailed to permit estimates of deterioration in response to acid deposition, while locations of these materials must be keyed to data on rates of acid deposition: past, present, and future. Regional data are needed, so as to facilitate economic damage estimates for large portions of the United States consistent with the assessment of regional control of deposition. Assessment calculations for only a single city will inevitably be of questionable validity for the regional problem. Such an assessment may be regarded as a problem in mapping: using economic dose-response functions and the geographic distributions of the materials at risk, the ultimate goal is to map the distribution of rates of acidic deposition into the distribution of economic damages (or the distribution of benefits of control of acid deposition). This report (Section 1) focuses on the identification, evaluation, andmore » interpretation of data describing the distributions of exterior construction materials. We describe the data needs, existing data sources, and research methods which have been used, and summarize the current findings. We emphasize the underlying bases for uses of different materials in the US economy at both regional and local levels; our intent is to provide guidance for future economic assessments to acquire the data needed in the most cost-effective ways. 101 refs., 24 figs.« less" @default.
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- W3389795 date "1990-04-01" @default.
- W3389795 modified "2023-09-27" @default.
- W3389795 title "The distribution of common construction materials" @default.
- W3389795 hasPublicationYear "1990" @default.
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