The Impact of Load Density Differences on Land Subsidence Based on Build-Up Index and PS-InSAR Technology
CHEN Bei-bei1, 2, 3, GONG Hui-li1, 2, 3*, LI Xiao-juan1, 2, 3, LEI Kun-chao1,4, ZHU Lin1, 2, 3, WANG Yan-bing1, 2, 3
1. Base of the State Key Laboratory of Urban Environmental Process and Digital Modeling, Capital Normal University, Beijing 100048, China 2. Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China 3. College of Resources Environment and Tourism Capital Normal University, Capital Normal University, Beijing 100048, China 4. Beijing Institute of Hydrogeology and Engineering Geology, Beijing 100195, China
Abstract:The excessive mining for underground water is the main reason inducing the land subsidence in Beijing, while, increasing of load brought by the urban construction aggravate the local land subsidence in a certain degree. As an international metropolis, the problems of land subsidence that caused by urban construction are becoming increasingly highlights, so revealing the relationship between regional load increase and the response of land subsidence also becomes one of the key problems in the land subsidence research field. In order to analyze the relationship between the load changes in construction and the land subsidence quantitatively, the present study selected the TM remote sensing image covering Beijing plain and used Erdas Modeler tool to invert the index based on building site (IBI), acquired the spatial and temporal change information in research area further; Based on results monitored by PS-InSAR (permanent scatterer interferometry) and IBI index method, and combined with the GIS spatial analysis method in the view of pixels in different scales, this paper analyzes the correlation between typical area load change and land subsidence, The conclusions show that there is a positive correlation between the density of load and the homogeneity of subsidence, especially in area which has a high sedimentation rate. Owing to such characteristics as the complexity and hysteretic nature of soil and geological structure, it is not obvious that the land subsidence caused by the increase of load in a short period. But with the increasing of local land load made by high density buildings and additional settlement of each monomer building superposed with each other, regional land subsidence is still a question that cannot be ignored and needs long-term systematic research and discussion.
Key words:Land subsidence;Load density;Index basing on building site(IBI);Permanent scatterer interferometry (PS-InSAR)
陈蓓蓓1,2,3,宫辉力1,2,3*,李小娟1,2,3,雷坤超1,4,朱 琳1,2,3,王彦兵1,2,3 . PS-InSAR技术与多光谱遥感建筑指数的载荷密度对地面沉降影响的研究 [J]. 光谱学与光谱分析, 2013, 33(08): 2198-2202.
CHEN Bei-bei1, 2, 3, GONG Hui-li1, 2, 3*, LI Xiao-juan1, 2, 3, LEI Kun-chao1,4, ZHU Lin1, 2, 3, WANG Yan-bing1, 2, 3 . The Impact of Load Density Differences on Land Subsidence Based on Build-Up Index and PS-InSAR Technology. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(08): 2198-2202.
[1] XUE Yu-qun, ZHANG Yun, YE Shu-jun, et al(薛禹群, 张 云,叶淑君,等). Quaternary Sciences( 第四纪研究), 2003, 23(6):585. [2] Aly M H, Zebke H A, Giardino J R, et al. Geophysical Journal International, 2009, 178(3): 1238. [3] Stramondo S, Bozzano F, Marra F, et al. Remote Sensing of Environment, 2008, 112: 3160. [4] Kaynia A M, Madhus C, Zackrisson P. Journal of Geoteehnical Geoenvironmental Engineering, 2000, 126(6):531. [5] Shanghai Institute of Geological Survey(上海市地质调查研究院). Study of Land Subsidence Interfere With Urban Planning Formulation and Management(上海市城市地面沉降对规划制定与实施管理的影响研究). Shanghai Urban Planning & Design Research Institute(上海市城市规划设计研究院), 2001. [6] YAN Xue-xin, GONG Shi-liang, ZENG Zheng-qiang, et al(严学新,龚士良, 曾正强,等). Hydrogeology & Engineering Geology(水文地质工程地质), 2002, 6: 21. [7] TANG Yi-qun, YAN Xue-xin, WANG Jian-xiu, et al(唐益群,严学新,王建秀,等). Journal of Tongji University(Natural Science)(同济大学学报·自然科学版), 35(3):320,2007. [8] HE Qing-cheng, FANG Zhi-lei, LI Zhi-ming, et al (何庆成,方志雷,李志明, 等). Earth Science Frontiers(地学前缘), 2006, 13(1): 179. [9] Hooper A, Zebker H, Segall P, et al. Re. Lett., 2004, 31(23): 5. [10] CHEN Bei-bei, GONG Hui-li, LI Xiao-juan, et al(陈蓓蓓,宫辉力,李小娟, 等). Journal of Jilin University·Earth Science Edition(吉林大学学报·地球科学版), 2012, 43(supp.1): 373. [11] YANG Shan(杨 山). Acta Geographic Science(地理学报), 2000,55(1):671. [12] XU Han-qiu(徐涵秋). Journal of Image and Graphics(中国图象图形学报), 2005. 10(2):223. [13] ZHANG Li-tian, BU Qing-jie, YANG Gui-hua, et al(张利田, 卜庆杰, 杨桂华,等). Acta Scientiae Circumstantiae.(环境科学学报), 2007,27(1): 171. [14] TAO Shu(陶 澍). Applied Mathematical Atatistics(应用数理统计方法). Beijing: China Environmental Science Press(北京: 中国环境科学出版社), 1994.