Volume 28 Issue S1
Oct.  2020
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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

doi: 10.13544/j.cnki.jeg.2020-367
  • Received Date: 2020-07-02
  • Rev Recd Date: 2020-08-13
  • 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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  • Andre L M,Franciscode A T,Teresa B L. 2008. Forecasting models for interval-imperial Time series[J]. Neurocomputing, 71(16-18):3344-3352.
    Andre L S M,Franciscode A T. 2011. Holt's Exponential smoothing and neural network Models for Forecasting interval-Valued Time Series[J]. International Journal of Forecasting, 27(3):740-759.
    Box G E P,Jenkins G M, Reinsel G C. 1994. Time Series Analysis:Forecasting and Control[M]. Englewood Cliffs:Prentice Hall.
    Chen M X,Ma F S. 2002. Groundwater resources and environment in China[M]. Beijing:Seismological Press.
    Department of Water Resources, Nanjing Institute of Water Resources Science. 2004. Development and Utilization of groundwater resources in China in the early 21st century[M]. Beijing:China Water Resources and Hydropower Press.
    Liu G L. 2012. Dynamic Characteristics and Simulation of shallow groundwater in Hedong Irrigation Area, Ningxia[D]. Lanzhou:Lanzhou University.
    Luo Z J,Zhang X,Tian X W. 2018. Prediction and early warning of Cangzhou land subsidence disaster[J]. Journal of Engineering Geology,26(2):365-373.
    Qin D J,Sun J,Guo Y,et al. 2019. Impacts of Yongding River on the Xishan karst aquifer and Yuquan spring in Beijing, China[J]. Journal of Engineering Geology,27(1):162-169.
    Toth J. 1963. A theoretical analysis of groundwater flow in small drainage basins[J]. Journal of Geophysical Research,68(16):4795-4812.
    Xu H L,Wu B L,Jiang S S. 2008. Discussion on prediction accuracy of interval time series[J]. Journal of Quantitative Economics,(1):134-141.
    Yar M,Chatfield C. 1990. Prediction intervals for the Holt-Winters Forecasting Procedure[J]. International Journal of Forecasting,6(1):127-137.
    Zhang J,Miao Q,Chen H Y. 2009. An interval combinational prediction model with the minimum absolute value of maximum error[J]. Journal of Hefei University(Comprehensive Edition),19(4):31-34.
    Zhou T F,He S Z. 2019. Metabolic GM(1. 1)model and Verhulst model predict death from heart disease[J]. Chinese Journal of Public Health Management,(5):617-620.
    水利部水资源司,南京水利科学研究院. 2004.21

    世初期中国地下水资源开发利用[M]. 北京:中国水利水电出版社.
    陈梦熊,马凤山. 2002.

    中国地下水资源与环境[M]. 北京:地震出版社.
    骆祖江,张鑫,田小伟. 2018. 沧州市地面沉降灾害预测预警[J]. 工程地质学报,26(2):365-373.
    秦大军,孙杰,郭艺,等. 2019. 永定河对北京西山岩溶水和玉泉山泉的影响[J]. 工程地质学报,27(1):162-169.
    刘光龙. 2012.

    宁夏河东灌区浅层地下水动态特征与仿真模拟[D]. 兰州:兰州大学.
    徐惠莉,吴柏林,江韶珊. 2008. 区间时间序列预测准确度探讨[J]. 数量经济技术经济研究,(1):134-141.
    张进,苗强,陈华友. 2009. 最大误差绝对值达到最小的区间组合预测模型[J]. 合肥学院学报(综合版),19(4):31

    -34.
    周涛芬,何穗智. 2019. 新陈代谢GM(1. 1)模型和Verhulst模型预测心脏病死亡[J]. 中国公共卫生管理,(5

    ):617-620.
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