A datamining approach to identifying spatial patterns of phosphorus forms in the Stormwater Treatment Areas in the Everglades, US

Ecological Engineering

Volumn 97, Issue , 2016, Pages 567-576

  Corstanje, R ^a   Grafius, D R ^a   Zawadzka, J ^a   Moreira Barradas, J ^a   Vince, G ^b   Ivanoff, D ^c   Pietro, K ^c  

^a CRANFIELD UNIVERSITY   (United Kingdom)

^b TETRA TECH INC   (United States)

^c SOUTH FLORIDA WATER MANAGEMENT DISTRICT   (United States)

Author keywords

Constructed wetland; Data mining; Everglades; Phosphorus; Stormwater treatment areas; Water quality

Indexed keywords

AGRICULTURAL RUNOFF; BIODIVERSITY; DATA MINING; ECOLOGY; ECOSYSTEMS; NUTRIENTS; PHOSPHORUS; PRINCIPAL COMPONENT ANALYSIS; SPATIAL DISTRIBUTION; STORM SEWERS; STORMS; SUGAR CANE; WATER QUALITY; WATER TREATMENT; WETLANDS;

ANALYSIS TECHNIQUES; COMMON SPATIAL PATTERNS; CONSTRUCTED WETLANDS; ENVIRONMENTAL VARIABLES; EVERGLADES; PREDICTIVE RELATIONSHIPS; SOIL CHARACTERISTICS; STORMWATER TREATMENT AREAS;

SOIL SURVEYS;

CONSTRUCTED WETLAND; DATA MINING; ECOSYSTEM FUNCTION; PHOSPHORUS; POLLUTANT REMOVAL; RUNOFF; SPATIAL ANALYSIS; SPATIAL DISTRIBUTION; WATER QUALITY; WATER TREATMENT;

EVERGLADES; FLORIDA [UNITED STATES]; UNITED STATES;

CITRUS; SACCHARUM;

EID: 84992494209     PISSN: 09258574     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecoleng.2016.10.003     Document Type: Article

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