caa a22 4500 477058388 CHVBK 20180405111353.0 cr unu---uuuuu 170330e19960901xx s 000 0 eng 10.1007/BF01874902 doi (NATIONALLICENCE)springer-10.1007/BF01874902 A Bayesian approach for incorporating uncertainty and data worth in environmental projects [Elektronische Daten] [Karim Abbaspour, Rainer Schulin, Ernst Schläppi, Hannes Flühler] A data worth model is presented for the analysis of alternative sampling schemes in a special project where decisions have to be made under uncertainty. This model is part of a comprehensive risk analysis algorthm with the acronym BUDA. The statistical framework in BUDA is Bayesian in nature and incorporates both parameter uncertainty and natural variability. In BUDA a project iterates among the analyst, the decision maker, and the field work. As part of the analysis, a data worth model calculates the value of a data campaign before the actual field work, thereby allowing the identification of an optimum data collection scheme. A goal function which depicts the objectives of a project is used to discriminate among different alternatives. A Latin hypercube sampling scheme is used to propagate parameter uncertainties to the goal function. In our example the uncertain parameters are the parameters which describe the geostatistical properties of saturated hydraulic conductivity in a Molasse environment. Our results indicated that failing to account for parameter uncertainty produces unrealistically optimistic results, while ignoring the spatial structure can lead to an inefficient use of the existing data. Baltzer Science Publishers BV, 1996 Data worth model nationallicence risk analysis nationallicence parameter uncertainty nationallicence spatial variability nationallicence Bayesian statistics nationallicence geostatistics nationallicence Abbaspour Karim Department of Soil Protection, Swiss Federal Institute of Technology, Grabenstrasse 3, CH-8952, Schlieren, Switzerland aut Schulin Rainer Department of Soil Protection, Swiss Federal Institute of Technology, Grabenstrasse 3, CH-8952, Schlieren, Switzerland aut Schläppi Ernst Colombi Schmutz Dorthe AG, Konsumstrasse 20, CH-3007, Bern, Switzerland aut Flühler Hannes Department of Soil Physics, Swiss Federal Institute of Technology, Grabenstrasse 3, CH-8952, Schlieren, Switzerland aut Environmental Modeling & Assessment Kluwer Academic Publishers 1/3(1996-09-01), 151-158 1420-2026 1:3<151 1996 1 10666 https://doi.org/10.1007/BF01874902 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF01874902 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Abbaspour Karim Department of Soil Protection, Swiss Federal Institute of Technology, Grabenstrasse 3, CH-8952, Schlieren, Switzerland aut NATIONALLICENCE 700 1- Schulin Rainer Department of Soil Protection, Swiss Federal Institute of Technology, Grabenstrasse 3, CH-8952, Schlieren, Switzerland aut NATIONALLICENCE 700 1- Schläppi Ernst Colombi Schmutz Dorthe AG, Konsumstrasse 20, CH-3007, Bern, Switzerland aut NATIONALLICENCE 700 1- Flühler Hannes Department of Soil Physics, Swiss Federal Institute of Technology, Grabenstrasse 3, CH-8952, Schlieren, Switzerland aut NATIONALLICENCE 773 0- Environmental Modeling & Assessment Kluwer Academic Publishers 1/3(1996-09-01), 151-158 1420-2026 1:3<151 1996 1 10666 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer