River and lake water quality prediction and eutrophication risk assessment method based on Monte Carlo simulation
A water quality prediction and eutrophication technology, applied in the field of environmental engineering, can solve the problems of unconvincing accuracy and reliability, contingency and uncertainty of eutrophication evaluation, etc., so as to compensate for inaccuracy and reduce contingency. , the effect of improving the accuracy
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[0081] Step 1: Establish a water quality dynamics model
[0082] Based on the evolution mechanism of water quality indicators, a water quality dynamics model is established, and the model equation is shown in formula (1).
[0083] Step 2: Construction of a river and lake water quality prediction method based on Monte Carlo simulation
[0084] Initial value of water quality index: x 0 =[6.5,0.05019,3,0.07,0.06,0.35,0.36,0.1] T ,
[0085] Process noise covariance matrix of water quality indicators: Σ x =diag{0.1,0.001,0.01,0.001,0.001,0.01,0.01,0.01},
[0086] Initial value of model parameters: θ 0 =[0.1,1.208,0.01,0.01,0.15,0.13,0.0009,0.001,0.025,0.075,0.9,0.35,1.02,1.3] T ,
[0087] Model parameter process noise covariance matrix:
[0088] Σ θ =diag{0.1,0.01,0.001,0.1,0.001,0.001,0.0001,0.0001,0.0001,0.01,0.001,0.01,0.1}.
[0089] Prediction step h=1 / 24 (unit: day), number of particles N=1000, and simulation time T=100 (unit: day).
[0090] Calculate the evolution ...
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