GAO Ye, YANG Yabing, LIANG Shouyun. 2020: PREDICTION OF GROUNDWATER LEVEL BASED ON INTERVAL SERIES GM(1. 1)MODEL. JOURNAL OF ENGINEERING GEOLOGY, 28(S1): 244-251. DOI: 10.13544/j.cnki.jeg.2020-367
    Citation: GAO Ye, YANG Yabing, LIANG Shouyun. 2020: PREDICTION OF GROUNDWATER LEVEL BASED ON INTERVAL SERIES GM(1. 1)MODEL. JOURNAL OF ENGINEERING GEOLOGY, 28(S1): 244-251. DOI: 10.13544/j.cnki.jeg.2020-367

    PREDICTION OF GROUNDWATER LEVEL BASED ON INTERVAL SERIES GM(1. 1)MODEL

    • To investigate the accuracy and information of GM(1. 1)model bases on interval series in predicting groundwater level in this paper, three interval methods of boundary point modeling, transformation modeling and parameter modeling are selected for comparison and analysis. The GM(1. 1)model of interval sequence has some delay effect and disorder effect. When the fluctuation range of actual water level is small, the prediction accuracy of the model is higher. The prediction accuracy of parameter modeling is better than that of boundary point modeling and transformation modeling. Compared with the point prediction, the interval series GM(1. 1)model is more beneficial to groundwater resource management and development.
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