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灰色精化模型应用于地面沉降预测
引用本文:严剑锋,邓喀中.灰色精化模型应用于地面沉降预测[J].测绘工程,2012,21(4):22-24.
作者姓名:严剑锋  邓喀中
作者单位:国土环境与灾害监测国家测绘局重点实验室,江苏徐州221116;中国矿业大学环境与测绘学院,江苏徐州221116
基金项目:国家自然科学基金资助项目
摘    要:地面沉降是一个复杂的过程,较难建立准确的预测模型。传统灰色模型不能处理沉降观测值序列中的异常点,对于波动大的原始数列也没有精确预测,针对其背景值取值方法的不足,建立一种精化灰色模型(JGM(1,1)模型),分析预测结果和精度,表明该模型具有较高的预测精度和可靠性。

关 键 词:地面沉降  灰色模型  精化模型  预测

The precise grey model applied to the prediction of land subsidence
YAN Jian-feng , DENG Ka-zhong.The precise grey model applied to the prediction of land subsidence[J].Engineering of Surveying and Mapping,2012,21(4):22-24.
Authors:YAN Jian-feng  DENG Ka-zhong
Institution:1. Key Laboratory for Land Environment and Disaster Monitoring of SBSM, Xuzhou 221116, China 2. School of Environ- ment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China)
Abstract:Land subsidence is a complex process. It is difficult to build an accurate model for prediction. The traditional grey model can not deal with the abnormal data in a series of subsidence values. The model is also invalid because of large fluctuation in the raw datas. Aiming at the shortage of background value, the precise grey model(JGM(1,1)) can apply to the prediction. The result and accuracy based on a case study show that JGM(1,1) is more precise and reliable.
Keywords:land subsidence  grey model  precise grey model  prediction
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