1. 上海交通大学 船舶海洋与建筑工程学院 土木工程系,上海,200240
2. 上海市地质调查研究院,上海,200072
纸质出版:2020
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曹伟伟, 李明广, 史玉金, 等. 基于多项式分布滞后模型的上海市地面沉降验证与预测[J]. 水土保持通报, 2020,40(2):177-181.
Cao Weiwei, Li Mingguang, Shi Yujin, et al. Verification and Prediction of Land Subsidence in Shanghai City Using Polynomial Distribution Lag Model[J]. Bulletin of Soiland Water Conservation, 2020, 40(2): 177-181.
曹伟伟, 李明广, 史玉金, 等. 基于多项式分布滞后模型的上海市地面沉降验证与预测[J]. 水土保持通报, 2020,40(2):177-181. DOI: 10.13961/j.cnki.stbctb.2020.02.025.
Cao Weiwei, Li Mingguang, Shi Yujin, et al. Verification and Prediction of Land Subsidence in Shanghai City Using Polynomial Distribution Lag Model[J]. Bulletin of Soiland Water Conservation, 2020, 40(2): 177-181. DOI: 10.13961/j.cnki.stbctb.2020.02.025.
[目的] 对上海市地面沉降进行验证与预测,为地下工程建设和地下水开采格局的科学调整提供参考。[方法] 基于地下水抽灌量、地面沉降和土层分层变形等长期监测数据,研究地面沉降量与地下水开采量、土层分层变形量之间的相关性,并结合上海市地面沉降特性及原因,建立考虑地下水开采量和第4含水层变形量的地面沉降多项式分布滞后模型(PDL模型)。[结果] ①上海市累计地下水开采量、第4含水层累计变形量与累计地面沉降量之间均具有高度的正相关性,但由于砂土蠕变、弱透水层释水缓慢等原因,地面沉降相对于地下水开采量和第4含水层变形都有着一定的滞后性;②采用考虑滞后效应的多项式分布滞后模型预测地面沉降,其计算结果相对误差较小、拟合效果较好;③若以当前采灌格局及第4含水层变形量作为参考进行预测,地面沉降在2019-2024年间将会发生稳定的轻微回弹现象。[结论] 上海市地面沉降与地下水开采量和土层变形量之间有着较高的相关性,且控制地下水开采能够有效缓解地面沉降的发展。
[Objective] The land subsidence in Shanghai City was verified and predicted
in order to provide reference for scientific regulations of underground construction and groundwater exploitation.[Methods] Based on monitoring data of groundwater extraction volumes
land subsidence and layered deformation of soils
the correlations between land subsidence and groundwater exploitation
deformation of soils layers were investigated. Based on the characteristics and causes of land subsidence in Shanghai City
a polynomial distribution lag model (PDL model) was established
considering groundwater extraction volumes and deformation of aquifer Ⅳ.[Results] ① There was a high positive correlation between cumulative groundwater exploitation
cumulative layered deformation of aquifer Ⅳ and cumulative land subsidence. However
due to the creep of sand and slow water release from aquitards
lagging effect existed between land subsidence and groundwater extraction volumes as well as layered deformation of aquifer Ⅳ. ② Calculated results using PDL were accurate with small relative error and better fitting effect when verifying land subsidence. ③ Based on the current groundwater extraction and recharge pattern and layered deformation of aquifer Ⅳ
the prediction showed that slight ground lift would occur in 2019-2024.[Conclusion] There is a high correlation between land subsidence and groundwater extraction volumes and soil deformation in Shanghai City
and controlling groundwater exploitation can effectively alleviate land subsidence.
张建伟,胡克,岳玮,等.上海城区地面沉降及其对地下水采灌量的响应[J].长江流域资源与环境,2016,25(4):567-572.
张云,薛禹群,叶淑君,等.地下水位变化模式下含水砂层变形特征及上海地面沉降特征分析[J].中国地质灾害与防治学报,2006,17(3):103-109.
刘江侠,张建中,刘波.滨海地区地下水开采对地面沉降的影响分析[J].海河水利,2013(1):3-5.
范珊珊,郭海朋,朱菊艳,等.线性回归模型在北京平原地面沉降预测中的应用[J].中国地质灾害与防治学报,2013,24(1):70-74.
王淼,陆阳,郑玉萍,等.基于线性回归分析的地下水开采与地面沉降相关关系研究:以天津市为例[J].中国水运,2015,15(7):108-110.
潘云,潘建刚,宫辉力,等.天津市区地下水开采与地面沉降关系研究[J].地球与环境,2004(2):36-39.
刘毅,龚士良.上海市地面沉降泊松旋回长期预测[J].中国地质灾害与防治学报,1998(2):77-82.
张云,薛禹群,施小清,等.饱和砂性土非线性蠕变模型试验研究[J].岩土力学,2005(12):1869-1873.
罗跃,叶淑君,吴吉春,等.上海市地下水位大幅抬升条件下土层变形特征分析[J].高校地质学报,2015,21(2):243-254.
郇小龙,甄宗坤.基于自回归分布滞后模型的地面沉降预测[J].测绘工程,2015,24(9):59-61,65.
吴蓉,李成柱.基于Preisach滞后模型的地面沉降预测分析[J].水文地质工程地质,2013,40(6):98-100.
冯羽,马凤山,魏爱华,等.考虑滞后作用的地面沉降阿尔蒙分布预测模型[J].中国地质灾害与防治学报,2011,22(4):117-121.
凌胜任.Logistic模型在地面沉降预测中的应用[J].测绘工程,2016,25(4):78-80.
凌胜任.多项式分布滞后模型在地面沉降预测中的应用[J].测绘工程,2016,25(3):64-67.
李明霞,张云.地下水控采条件下上海土层变形特征研究[J].上海国土资源,2014,35(4):17-20.
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