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PREDICTING AND FORECASTING SURFACE WATER ACIDIFICATION: A PLAN FOR ASSESSING DATA AGGREGATION EFFECTS
Citation:
Johnson, M., P. Shaffer, D. Stevens, K. Thornton, AND R. Turner. PREDICTING AND FORECASTING SURFACE WATER ACIDIFICATION: A PLAN FOR ASSESSING DATA AGGREGATION EFFECTS. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/3-91/024 (NTIS PB91182451), 1991.
Description:
A major goal of the Direct/Delayed Response Project (DDRP), a project within the U.S. Environmental Protection Agency's (EPA) Aquatic Effects Research Program (AERP) is to project potential changes in surface water chemistry in lakes in the northeastern U.S. and streams in the Mid-Appalachians and southeastern U.S., over the next 50 years as a function of current and alternative levels of acidic deposition. he DDRP projection are based on various types of simulations models that predict surface water and soil chemistry. ll models - statistical, empirical, mechanistic, logical or others - represent a simplification or abstraction of the real world. ajor question associated with the application of an model is how to prepare subset, and aggregate, or lump, data so that they will represent the processes and system being simulated. he models used in the DDRP require physical and chemical data on watershed soils as part of the model inputs. n conjunction with the DDRP, soil surveys were conducted in selected watersheds in each of the three regions. his document describes and discusses the approaches used in the DDRP for aggregating soil chemical and physical data for use in the various DDRP analyses.
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PREDICTING AND FORECASTING SURFACE WATER ACIDIFICATION: A PLAN FOR ASSESSING DATA AGGREGATION EFFECTS