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Effect of Rain and Temperature on the Performance of Constructed Reed Beds
Author(s) -
Manios T.,
Millner P.,
Stentiford E.I.
Publication year - 2000
Publication title -
water environment research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.356
H-Index - 73
eISSN - 1554-7531
pISSN - 1061-4303
DOI - 10.2175/106143000x137527
Subject(s) - linear regression , regression analysis , environmental science , hydrology (agriculture) , linear correlation , air temperature , biochemical oxygen demand , curvilinear coordinates , linear relationship , atmospheric sciences , mathematics , environmental engineering , statistics , chemical oxygen demand , geotechnical engineering , geology , sewage treatment , geometry
In this paper, the importance of rain and temperature on the performance of reed beds is examined. Data for 5‐day biochemical oxygen demand (BOD 5 ), total suspended solids (TSS), and ammonia‐nitrogen (NH 3 –N) removal from 16 different reed beds in England were correlated with local weather data for rainfall and temperature. Linear regression and curvilinear regression methods were used to assess if any correlation existed. Data analysis occurred in three stages. First, the equation used for the design of the beds was transformed to a linear equation to compare BOD 5 removal values and monthly average ambient temperature. The transformed equation was tested with data from all of the reed beds, but the correlation was poor. Second, monthly average rainfall and temperature values were compared with percent removal of BOD 5 , TSS, and NH 3 –N using curvilinear regression. This approach failed to produce any significant correlation. Finally, curvilinear regression was used to examine performance data with daily rainfall for two of the reed beds. This approach also failed to show any correlation between temperature or rain fall and the performance of the beds.