The invention discloses a variable weighting combination landscape
water quality early warning method which comprises on-line
water quality monitoring,
water quality change predicting and water quality early warning, wherein the on-line water
quality monitoring comprises the following steps: gathering water samples of all monitoring points of landscape water, and transmitting the
monitoring data to the
server of a
data center for storage and analysis; the water quality change predicting comprises the following steps: performing normalization
processing on water quality samples of the
data center, establishing a neural network prediction model, a
support vector machine prediction model and a variable weighting combination prediction model respectively, and performing
interval estimation on the variable weighting combination prediction model; water quality early warning comprises the following steps: performing water quality early warning by utilizing the
interval estimation value of the variable weighting combination prediction model, and performing warning report simultaneously. According to the invention, the function of landscape water quality on-line early warning is realized; the variable weighting combination mode of a neural network and a
support vector machine is introduced to a landscape water quality
early warning system for the first time, which is an innovation in the field of landscape water quality. The variable weighting combination landscape water quality early warning method has an excellent practical value for the water quality maintenance and operation management of a landscape
water body.