scholarly journals Water Quality Data Analysis for Kanhan River

2014 ◽  
Vol 9 (2) ◽  
pp. 447-455
Author(s):  
Snehal Kamble ◽  
P Nagarnaik ◽  
R Shrivastava
Keyword(s):  
Water Quality ◽  
Data Analysis ◽  
Quality Data ◽  
Water Quality Data

A multi-window GIS approach for water quality data analysis

1995 ◽  
Vol 5 (3) ◽  
pp. 257-264 ◽  
Author(s):  
Hui Lin ◽  
Fuxiang Xia
Keyword(s):  
Water Quality ◽  
Data Analysis ◽  
Quality Data ◽  
Water Quality Data

COMPUTER ASSISTED WATER QUALITY DATA ANALYSIS

1984 ◽  
Vol 1 (1) ◽  
pp. 48-52
Author(s):  
Michael W. Mullen ◽  
Stephen R. Smith ◽  
Richard E. Price ◽  
Terry S. Smith
Keyword(s):  
Water Quality ◽  
Data Analysis ◽  
Quality Data ◽  
Computer Assisted ◽  
Water Quality Data

Impact of non-detects in water quality data on estimation of constituent mass loading

2002 ◽  
Vol 45 (9) ◽  
pp. 219-225 ◽  
Author(s):  
M. Kayhanian ◽  
A. Singh ◽  
S. Meyer
Keyword(s):  
Water Quality ◽  
Data Analysis ◽  
Censored Data ◽  
Quality Data ◽  
Data Sets ◽  
Mass Loading ◽  
Water Quality Data ◽  
Mean Values ◽  
Constituent Mass

Often, fractions of stormwater constituents are not detected above laboratory reporting limits and are reported as non-detect (ND), or censored data. Analysts and stormwater modelers represent these NDs in stormwater data sets using a variety of methods. Application of these different methods results in different estimates of constituent mean concentrations that will, in turn, affect mass loading computations. In this paper, different methods of data analysis were introduced to determine constituent mean concentrations from water quality datasets that include ND values. Depending on the number of NDs and the method of data analysis, differences ranging from 1 to 70 percent have been observed in mean values. Differences in mean values were, as shown by simulation, found to have significant impacts on estimations of constituent mass loading.

Water Quality Data Analysis in Chung Kang River

1987 ◽  
Vol 113 (1) ◽  
pp. 186-195 ◽  
Author(s):  
Bindu N. Lohani ◽  
Michael M. Wang
Keyword(s):  
Water Quality ◽  
Data Analysis ◽  
Quality Data ◽  
Water Quality Data
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