運用資料融合方法建立濁水溪沖積扇雲林地層下陷區域地層電阻率模型

Establishing Resistivity Model in the Subsidence Area of Yunlin's Chuoshuixi Alluvial Fan by with Data Fusion Method

10.6937/TWC.202212_70(4).0001

張竝瑜；嚴精明；林鼎竣；曾俊儒；尤納坦；林格瑞；韓怡娜；陳穎龍；蔡瑞彬；張良正；余化龍

濁水溪沖積扇 ； 地層下陷 ； 資料群集階層聚類分析 ； 電磁地球物理探勘 ； 三維地下地層模型 ； Choushui River Alluvial Fan ； land subsidence ； hierarchical agglomerative clustering ； electromagnetic geophysical exploration ； three-dimensional structure model

台灣水利

70卷4期（2022 / 12 / 01）

1 - 8

繁體中文;英文

本研究為了解雲林地區濁水溪沖積扇扇央到扇緣區域，地層下陷嚴重區域之地層結構及其可能的下陷地層因素。因此利用電阻率井測，以及暫態電磁、地電阻等電阻率地球物理探勘資料，經由空間統計方法進行資料同化，校正基線飄移或動態範圍差異所造成的影響後，整合不同地球物理量測方法得到之電阻率值後，再利用空間統計加權內外插值方法，建立研究區域深度200公尺以內範圍之三維電阻率模型。經過與岩芯紀錄之比較，我們發現電阻率高於130 Ohm-m之區域，與礫石層之分布有高度相關性，我們也觀察到於扇央區域，存在一個似乎與扇頂補注主要的高電阻礫石區域，並未有太多連通的獨立高電阻礫石體結構。而此一獨立高電阻率礫石結構，與雲林地區累積下陷量較大區域，有相當的一致性分佈。因此我們推論，雲林地區扇央部分近年的快速下陷，可能來自於大量在與扇頂補注來源連通性不佳之獨立礫石體中抽水，造成快速的彈性壓密所導致。

The purpose of this study is to understand the local structure and possible land subsidence factors in the Choushui River Alluvial Fan, Yunlin County, Central Taiwan. We assimilated the well logging, transient electromagnetic (TEM) and electrical resistivity imaging (ERI) regarding the data clusters assimilation analysis method. Moreover, the assimilation data are established and interpolated to a three-dimensional combined resistivity model within the depth of 200 meters of the study area. After comparing with the drilling cores record, we found that the resistivity higher than 130 Ohm-m is highly correlated to the gravel layer. In addition, there has exist of the high resistance gravel region, which is independent of the other gravel layer in the proximal fan. The distribution of the independent gravel structure is high relate to the high accumulated subsidence zone in the mid fan of the Choushui River Alluvial Fan, Yunlin County. Therefore, we consider the area with the rapid subsidence area in the mid fan in recent years might due to the serious water pumping from the independent gravel layer and caused the rapid elastic compaction in the study area.

1. Al Shalabi, L.,Shaaban, Z.,Kasasbeh, B.(2006).Data mining: A preprocessing engine.Journal of Computer Science,2(9),735-739.
2. Chapra, S. C.(2012).Applied numerical methods with MATLAB® for engineers and scientists.New York:McGraw-Hill Education.
3. Delforge, D.,Watlet, A.,Kaufmann, O.,Van Camp, M.,Vanclooster, M.(2021).Time-series clustering approaches for subsurface zonation and hydrofacies detection using a real time-lapse electrical resistivity dataset.Journal of Applied Geophysics,184
4. Dumont, M.,Reninger, P. A.,Pryet, A.,Martelet, G.,Aunay, B.,Join, J. L.(2018).Agglomerative hierarchical clustering of airborne electromagnetic data for multi-scale geological studies.Journal of Applied Geophysics,157,1-9.
5. Hubbard, S. S.,Rubin, Y.(2000).Hydrogeological parameter estimation using geophysical data: a review of selected techniques.Journal of Contaminant Hydrology,45(1-2),3-34.
6. ITRI(2021).,Taiwan:Taiwan High Speed Railway co., ltd..
7. Izady, A.,Davary, K.,Alizadeh, A.,Ziaei, A. N.,Alipoor, A.,Joodavi, A.,Brusseau, M. L.(2014).A framework toward developing a groundwater conceptual model.Arabian Journal of Geosciences,7(9),3611-3631.
8. Juszczak, P.,Tax, D.,Duin, R. P.(2002).Feature scaling in support vector data description.Proc. asci
9. Linde, N.(2014).Falsification and corroboration of conceptual hydrological models using geophysical data.Wiley Interdisciplinary Reviews: Water,1(2),151-171.
10. Lochbühler, T.,Doetsch, J.,Brauchler, R.,Linde, N.(2013).Structure-coupled joint inversion of geophysical and hydrological data.Geophysics,78(3),ID1-ID14.
11. Paillet, F. L.,Pedler, W.(1996).Integrated borehole logging methods for wellhead protection applications.Engineering Geology,42(2-3),155-165.
12. Puntu, J. M.,Chang, P.-Y.,Lin, D.-J.,Amania, H. H.,Doyoro, Y. G.(2021).A Comprehensive Evaluation for the Tunnel Conditions with Ground Penetrating Radar Measurements.Remote Sensing,13(21)
13. Rabbath, C. A.,Corriveau, D.(2019).A comparison of piecewise cubic Hermite interpolating polynomials, cubic splines and piecewise linear functions for the approximation of projectile aerodynamics.Defence Technology,15(5),741-757.
14. Sullivan, B.,Kaszynski, A.(2019).PyVista: 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).Journal of Open Source Software,4(37)
15. Waxman, M. H.,Smits, L.(1968).Electrical conductivities in oil-bearing shaly sands.Society of Petroleum Engineers Journal,8(02),107-122.
16. 經濟部水利署. “水利地理資訊服務平台,” (https://gic.wra.gov.tw/Gis/Gic/API/Google/Index.aspx).