caa a22 4500 467903298 CHVBK 20180406152825.0 cr unu---uuuuu 170328e20061101xx s 000 0 eng 10.1007/s10661-006-0358-4 doi (NATIONALLICENCE)springer-10.1007/s10661-006-0358-4 A water quality monitoring network design methodology for the selection of critical sampling points: Part II [Elektronische Daten] [R. Strobl, P. Robillard, R. Day, R. Shannon, A. McDonnell] In order to resolve the spatial component of the design of a water quality monitoring network, a methodology has been developed to identify the critical sampling locations within a watershed. This methodology, called Critical Sampling Points (CSP), focuses on the contaminant total phosphorus (TP), and is applicable to small, predominantly agricultural-forested watersheds. The CSP methodology was translated into a model, called Water Quality Monitoring Station Analysis (WQMSA). It incorporates a geographic information system (GIS) for spatial analysis and data manipulation purposes, a hydrologic/water quality simulation model for estimating TP loads, and an artificial intelligence technology for improved input data representation. The model input data include a number of hydrologic, topographic, soils, vegetative, and land use factors. The model also includes an economic and logistics component. The validity of the CSP methodology was tested on a small experimental Pennsylvanian watershed, for which TP data from a number of single storm events were available for various sampling points within the watershed. A comparison of the ratios of observed to predicted TP loads between sampling points revealed that the model's results were promising. Springer Science + Business Media, Inc., 2006 critical source areas nationallicence design methodology nationallicence monitoring network nationallicence sampling points nationallicence water quality nationallicence Strobl R. Water Resources Department, Institute for Geo-Information Science and Earth Observation, Enschede, The Netherlands aut Robillard P. World Water Watch, Cambridge, Massachusetts, U.S.A. aut Day R. Department of Crop and Soil Sciences, The Pennsylvania State University, University Park, Pennsylvania, U.S.A. aut Shannon R. Department of Agricultural and Biological Engineering, The Pennsylvania State University, University Park, Pennsylvania, U.S.A. aut McDonnell A. Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, Pennsylvania, U.S.A. aut Environmental Monitoring and Assessment Kluwer Academic Publishers 122/1-3(2006-11-01), 319-334 0167-6369 122:1-3<319 2006 122 10661 https://doi.org/10.1007/s10661-006-0358-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10661-006-0358-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Strobl R. Water Resources Department, Institute for Geo-Information Science and Earth Observation, Enschede, The Netherlands aut NATIONALLICENCE 700 1- Robillard P. World Water Watch, Cambridge, Massachusetts, U.S.A aut NATIONALLICENCE 700 1- Day R. Department of Crop and Soil Sciences, The Pennsylvania State University, University Park, Pennsylvania, U.S.A aut NATIONALLICENCE 700 1- Shannon R. Department of Agricultural and Biological Engineering, The Pennsylvania State University, University Park, Pennsylvania, U.S.A aut NATIONALLICENCE 700 1- McDonnell A. Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, Pennsylvania, U.S.A aut NATIONALLICENCE 773 0- Environmental Monitoring and Assessment Kluwer Academic Publishers 122/1-3(2006-11-01), 319-334 0167-6369 122:1-3<319 2006 122 10661 Metadata rights reserved Springer special CC-BY-NC licence nationallicence SWISSBIB 467903298 BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer