Non-linear visualization and analysis of large water quality data sets: A model-free basis for efficient monitoring and risk assessment

Stochastic Environmental Research and Risk Assessment

Volumn 23, Issue 7, 2009, Pages 977-990

  Lischeid, Gunnar ^a  

^a LEIBNIZ CENTRE FOR AGRICULTURAL LANDSCAPE RESEARCH ZALF   (Germany)

Author keywords

Principal component analysis; Sammon's mapping; Self organizing map (SOM); Water quality data

Indexed keywords

ALTERNATIVE APPROACH; AMOUNT OF INFORMATION; DATA SETS; DOMINANT PROCESS; EFFICIENT MONITORING; ENVIRONMENTAL MONITORING; FLOW REGIMES; GERMANY; HOT SPOT; HUMAN BRAIN; LONG-TERM TREND; MODEL FREE; MONITORING PROGRAMS; MOUNTAINOUS REGIONS; MULTIVARIATE DATA SETS; NON-LINEAR; NON-LINEAR RELATIONSHIPS; NONLINEAR PROJECTIONS; NUMERICAL MODELS; OBSERVATION WELLS; SAMMON'S MAPPING; SAMPLING SITE; SELF-ORGANIZING MAP (SOM); SOLUTE CONCENTRATIONS; SPATIAL AND TEMPORAL VARIABILITY; STREAM WATER; SUB-SAMPLES; TEMPORAL VARIANCE; VISUALIZATION AND ANALYSIS; WATER QUALITY DATA;

ARTIFICIAL INTELLIGENCE; CATCHMENTS; CONFORMAL MAPPING; DATA PROCESSING; DECISION SUPPORT SYSTEMS; DECISION THEORY; FORESTRY; GROUNDWATER; HYDRAULIC MODELS; HYDROGEOLOGY; INTERFACES (COMPUTER); LAND USE; LANDFORMS; LIGHT MEASUREMENT; POLLUTION DETECTION; PRINCIPAL COMPONENT ANALYSIS; QUALITY CONTROL; RISK ANALYSIS; RISK ASSESSMENT; RISK MANAGEMENT; RISK PERCEPTION; RUNOFF; STRENGTH OF MATERIALS; VISUALIZATION; WATER ANALYSIS; WATER POLLUTION; WATER QUALITY; WATERSHEDS;

DATA VISUALIZATION;

DATA SET; DECISION SUPPORT SYSTEM; DETECTION METHOD; ENVIRONMENTAL MONITORING; GROUNDWATER; MAPPING METHOD; PRINCIPAL COMPONENT ANALYSIS; RISK ASSESSMENT; RUNOFF; STREAMWATER; VISUALIZATION; WATER QUALITY; WATERSHED;

DATA; DATA PROCESSING; DECISION THEORY; FORESTRY; GROUND WATER; LAND USE; LIGHT; MAPPING; MEASUREMENT; QUALITY CONTROL; RISK ASSESSMENT; RISK MANAGEMENT; RUNOFF; WATER POLLUTION; WATER QUALITY; WATER SHEDS;

BAVARIA; CENTRAL EUROPE; EURASIA; EUROPE; FICHTELGEBIRGE; GERMANY; LEHSTENBACH;

EID: 70349757059     PISSN: 14363240     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00477-008-0266-y     Document Type: Article

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