基于多影响因子计算模型在城市地面沉降监测中的应用研究

摘要

Research purposes: In recent years, with the urban development and utilization of underground water, a large number of underground water have been pumped out, and it will bring out the ground subsidence.This paper describes the influences of the changes of underwater level, pore water pressure and ground load on the ground subsidence and analyzes the influence mechanism of these factors.A calculation model was established for monitoring the ground subsidence with the principles of regression analysis, and the model accuracy was verified by using it to monitoring the ground subsidence.The model can be used for providing the scientific basis for determining the quantity and density of underground water pumping well and it is of great significance to predicting the ground subsidence in urban areas and along the transportation routes and prevention of the disasters.Research conclusions: The calculation model of monitoring subsidence affected directly the calculation results of ground subsidence.Based on the relation between the groundwater table, pore water pressure, ground load and ground subsidence, this model established with the regression analysis principle is suitable for monitoring the ground subsidence in urban areas and along transportation routes.%研究目的:近年来,随着城市地下水被开发利用,大量地下水被抽取,久而久之将引起地表沉降.本文阐述地下水位变化、孔隙水压力变化和地面荷载变化对地面沉降的影响,分析这些因素的影响机理;应用回归分析原理,建立地面沉降监测计算模型,并结合实例,分析验证该模型,为城市取水井的数量和密度布设提供科学依据,对城市区域、交通干线地面沉降的预测及减灾、防灾具有重要意义.研究结论:沉降监测计算模型直接影响地面沉降计算结果:基于地下水位、孔隙水压力和荷载与地面沉降的关系,应用逐步回归分析原理建立的地面沉降计算模型,适合城市区域及交通干线地面沉降的预测计算.