AM nest sampling algorithm based groundwater model evaluation method

AM nest sampling algorithm based groundwater model evaluation method

  • CN 106,650,293 A
  • Filed: 01/05/2017
  • Published: 05/10/2017
  • Est. Priority Date: 01/05/2017
  • Status: Active Application
First Claim
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1. it is a kind of based on AM nesting sampling algorithm groundwater model evaluation method, it is characterised in that:

  • Comprise the following steps:

    (1) according to the hydrogeologic condition in research area, the conceptual model M of one group of different structure is set upk(k=1,2 ..., K) carrys out tableShow actual ground water regime;

    (2) according to the one group of hydrogeological parameter of selection that studies a question as parameter vector θ and

    determine its prior probability distribution p (θ


    (3) from prior distribution p (θ

    | Mk) in random generation parameter vector θ

    set S={ θ

    1, θ

    2..., θ

    NAs active set, andCalculate active set in each parameter vector joint likelihood function L (θ

    | D, Mk),;

    (4) determine the iterations R of the main algorithm of nested sampling, parameter worst in active set S is selected in each iterative processVector calculates increment Delta Z of edge likelihood value as sample according to trapezoid formula;

    (5) in each iterative process, new parameter is generated from prior distribution p by the local limit sampling based on AM algorithmsVectorial θ

    newAs candidate samples, to substitute active set in worst sample;

    (6) complete after iteration, according to active set S and increment Delta Z of edge likelihood value, calculate the edge likelihood of each conceptual modelValue Z;

    (7) according to the edge likelihood value for calculating, each conceptual model is evaluated.

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