A. Kusmulyono et I. Goulter, ENTROPY PRINCIPLES IN THE PREDICTION OF WATER-QUALITY VALUES AT DISCONTINUED MONITORING STATIONS, Stochastic hydrology and hydraulics, 8(4), 1994, pp. 301-317
Citations number
25
Categorie Soggetti
Mathematical Method, Physical Science","Water Resources","Environmental Sciences","Statistic & Probability
A new methodology for predicting water quality values at discontinued
water quality monitoring stations is proposed. The method is based upo
n the Principle of Maximum Entropy (POME) and provides unbiased predic
tions of water quality levels at upstream tributaries and on the mains
team of a river given observed changes in the distribution of the same
water quality parameter at a downstream location. Changes in the valu
es of water quality parameters which are known a priori to have occurr
ed upstream, but which are not sufficiently large to account for all t
he observed change in the same water quality parameter at the downstre
am location are able to be incorporated in the method through the intr
oduction of a new term in the basic entropy expression. Application of
the procedure to water quality monitoring on the Mackenzie River in Q
ueensland, Australia indicates the method has considerable potential f
or prediction of water quality at discontinued stations. The method al
so has potential for identifying the location of causes of observed ch
anges in water quality at a downstream station.