Correlation Between Groundwater Level And Altitude Variations in Land Subsidence Area of The Choshuichi Alluvial Fan, Taiwan Chieh-Hung Chen, Chung-Ho.

Slides:



Advertisements
Similar presentations
Original Figures for "Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring"
Advertisements

GEO-ELECTRIC INVESTIGATION OF UNDERGROUND LEACHATE DISTRIBUTION AT A CLOSED LANDFILL IN SOUTHWESTERN ONTARIO, CANADA Joshi, Siddharth 1, Yang, Jianwen.
Clima en España: Pasado, presente y futuro Madrid, Spain, 11 – 13 February 1 IMEDEA (UIB - CSIC), Mallorca, SPAIN. 2 National Oceanography Centre, Southampton,
Maximum Covariance Analysis Canonical Correlation Analysis.
Bruno Basso Dept. Crop, Forest and Environmental Sciences University of Basilicata, Italy Contacts Joe T Ritchie: Bruno Basso :
Earthquake spatial distribution: the correlation dimension (AGU2006 Fall, NG43B-1158) Yan Y. Kagan Department of Earth and Space Sciences, University of.
Development of Empirical Models From Process Data
Distribution Function Estimation in Small Areas for Aquatic Resources Spatial Ensemble Estimates of Temporal Trends in Acid Neutralizing Capacity Mark.
4. TESTS 5. CONCLUSIONS 2. METHOD We base the study on the method proposed by Zúñiga and Wyss (1995) which was originally intended for finding suitable.
Discovering and Describing Relationships
Principles of Sea Level Measurement Long-term tide gauge records  What is a tide station?  How is sea level measured relative to the land?  What types.
Integrated Approach for Assessing the Characteristic of Groundwater Recharge in Basin Scale Hsin-Fu Yeh*, Cheng-Haw Lee, Kuo-Chin Hsu Department of Resources.
Why North China is seismically active while South China remains largely aseismic? Youqing Yang & Mian Liu, Dept. of geol. University of Missouri-Columbia.
1 Chapter 10 Correlation and Regression We deal with two variables, x and y. Main goal: Investigate how x and y are related, or correlated; how much they.
Vadose-zone Monitoring System
Seismicity around Lhasa Tsoja Wangmo 1), Norsang Gelsor 1) and Jens Havskov 2) 1) Jiangsu Road No 36 Lhasa, Tibet, PRC 2) University of Bergen, Department.
RAPID SOURCE PARAMETER DETERMINATION AND EARTHQUAKE SOURCE PROCESS IN INDONESIA REGION Iman Suardi Seismology Course Indonesia Final Presentation of Master.
Economic Cooperation Organization Training Course on “Drought and Desertification” Alanya Facilities, Antalya, TURKEY presented by Ertan TURGU from Turkish.
Priority Program SPP 1167 of the DFG Convective and Orographically Induced Precipitation Study Karlsruhe Institute of Technology Analysis of the regional.
A Statistical Comparison of Weather Stations in Carberry, Manitoba, Canada.
RESOLVING FOCAL DEPTH WITH A NEAR FIELD SINGLE STATION IN SPARSE SEISMIC NETWORK Sidao Ni, State Key Laboratory of Geodesy and Earth’s Dynamics, Institute.
LL-III physics-based distributed hydrologic model in Blue River Basin and Baron Fork Basin Li Lan (State Key Laboratory of Water Resources and Hydropower.
RA-228 AND RA-226 FROFILES FROM THE NORTHERN SOUTH CHINA SEA Hsiu-Chuan Lin, Yu-Chia Chung and Chi-Ju Lin Institute of Marine Geology and Chemistry, National.
ANALYSIS ON SLIDING MECHANISM OF TSAOLING ROCKSLIDE IN CHI-CHI EARTHQUAKE EVENT Tien Chien Chen National Pingtung University of Science & Technology Meei.
All Hands Meeting 2005 The Family of Reliability Coefficients Gregory G. Brown VASDHS/UCSD.
A comparison of the ability of artificial neural network and polynomial fitting was carried out in order to model the horizontal deformation field. It.
Time series Decomposition Farideh Dehkordi-Vakil.
RESULTS OF RESEARCH RELATED TO CHARIS IN KAZAKHSTAN I. Severskiy, L. Kogutenko.
Fig. 4. A framework configured to calculate a P budget. Shelf ( 1000 m )
Importance Of Water Water is life. Living on the earth may be impossible without adequate water quality and quantity. Water makes up more than half of.
1 1 Slide © 2011 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole.
CC-07: Atmospheric Carbon Dioxide Concentrations and Weather: Evidence from Hawaii Kevin F. Forbes The Catholic University of America Washington, DC .
Objective Data  The outlined square marks the area of the study arranged in most cases in a coarse 24X24 grid.  Data from the NASA Langley Research Center.
ESTUARY WETLAND DETECTION IN SAR IMAGES Presented By Yu-Chang Tzeng.
The ordinary differential equations system of the sixth order, describing the strain state of the elastic, compressible, gravitating shell with geopotential,
Chapter 16 Lecture One: Wave-I HW1 (problems): 16.12, 16.24, 16.27, 16.33, 16.52, 16.59, 17.6, Due.
Jon Curwin and Roger Slater, QUANTITATIVE METHODS: A SHORT COURSE ISBN © Thomson Learning 2004 Jon Curwin and Roger Slater, QUANTITATIVE.
Can tilt tests provide correct insight regarding frictional behavior of sandstone under seismic excitation? Can tilt tests provide correct insight regarding.
Introduction The hydrostratigraphy under complex geological control of the volcanic aquifer in the Bandung Area has not been completely understood. Therefore.
Figure 1. Map of study area. Heavy solid polygon defines “Cascade Mountains” for the purposes of this study. The thin solid line divides the Cascade Mountains.
Objectives 2-1 to Describe the motion of an object relative to a particular frame of reference. 2.Define and calculate displacement (Δx) as the change.
The Influence of loss saturation effects on the assessment of polar ozone changes Derek M. Cunnold 1, Eun-Su Yang 1, Ross J. Salawitch 2, and Michael J.
Hybrid Load Forecasting Method With Analysis of Temperature Sensitivities Authors: Kyung-Bin Song, Seong-Kwan Ha, Jung-Wook Park, Dong-Jin Kweon, Kyu-Ho.
Weather and Climate. Introduction Before the end of June 2011, the National Oceanic and Atmospheric Administration (NOAA) officially declared the year.
Assessing the Influence of Decadal Climate Variability and Climate Change on Snowpacks in the Pacific Northwest JISAO/SMA Climate Impacts Group and the.
1 Federal Research Centre for Fisheries Institute for Sea Fisheries, Hamburg Hans-Joachim Rätz Josep Lloret Institut de Ciències del Mar, Barcelona Long-term.
Sampling Design and Analysis MTH 494 Lecture-21 Ossam Chohan Assistant Professor CIIT Abbottabad.
Towards a standard model for present-day signals due to postglacial rebound H.-P. Plag, C. Kreemer Nevada Bureau of Mines and Geology and Seismological.
California Earthquake Rupture Model Satisfying Accepted Scaling Laws (SCEC 2010, 1-129) David Jackson, Yan Kagan and Qi Wang Department of Earth and Space.
中国科学院 东亚区域气候 - 环境重点实验室 Effects of Site-Change and Urbanisation in the Beijing Temperature Series Li Zhen Key Laboratory of Regional Climate-Environment.
DEVELOPMENT OF A CELL BASED MODEL FOR STREAM FLOW PREDICTION IN UNGAUGED BASINS USING GIS DATA P B Hunukumbura & S B Weerakoon Department of Civil Engineering,
Total ozone data The Dobson total ozone data used in this study (Table) were measured at five midlatitude sites and three tropical sites maintained and.
DIRECT RUNOFF HYDROGRAPH FOR UNGAUGED BASINS USING A CELL BASED MODEL P. B. Hunukumbura & S. B. Weerakoon Department of Civil Engineering, University of.
MR. MARK ANTHONY GARCIA, M.S. MATHEMATICS DEPARTMENT DE LA SALLE UNIVERSITY.
A method to map flooding-prone areas in Iran using Landsat satellite images and GIS Ali Bozorgi, Iran Water Resources Management Company,
CORRELATION BETWEEN HYDROLOGICAL, GEOCHEMICAL AND MICROBIOLOGICAL PROCESSES IN GROUNDWATER-STREAM WATER MIXING ZONE Heejung Kim, Seong-Sun Lee, Yunjung.
Advanced Science and Technology Letters Vol.31 (MulGraB 2013), pp Effect of Urbanization on Climate.
Observational Error Estimation of FORMOSAT-3/COSMIC GPS Radio Occultation Data SHU-YA CHEN AND CHING-YUANG HUANG Department of Atmospheric Sciences, National.
Date of download: 7/8/2016 Copyright © 2016 SPIE. All rights reserved. Comparison of leveling data (red open squares) and the InSAR time series (blue dots).
Distribution of the degree of nutrient consumption in the northern Taiwan Strait Li-Yu Hsing and Chen-Tung Arthur Chen Institute of Marine Geology and.
Summary and Recommendation
Enhancement of Wind Stress and Hurricane Waves Simulation
An Integrated Approach for Subsidence Monitoring and Sinkhole Formation in the Karst Terrain of Dougherty County, Georgia Matthew Cahalan1 and Adam Milewski1.
Strong Motion Network in Taiwan
The Hungtsaiping landslides- from a rock slide to a colluvial slide
學生:林承恩(Cheng-en Lin) 指導老師:陳卉瑄(Kate Huihsuan Chen)
Water Level Maps In The Edwards (BFZ) Aquifer
by Asaf Inbal, Jean Paul Ampuero, and Robert W. Clayton
Department of Water and Sanitation
Chapter Four RUNOFF When a storm occurs, a portion of rainfall infiltrates into the ground and some portion may evaporate. The rest flows as a thin sheet.
Presentation transcript:

Correlation Between Groundwater Level And Altitude Variations in Land Subsidence Area of The Choshuichi Alluvial Fan, Taiwan Chieh-Hung Chen, Chung-Ho Wang, Ya-Ju Hsu, Shui-Beih Yu, Long-Chen Kuo Institute of Earth Sciences, Academia Sinica, Taipei 115, Taiwan 1 報告人 : 蕭惠如

Introduction Methodology Observations and discussion for groundwater level data Relationships of groundwater levels to GPS data Conclusions 2

 In Taiwan, groundwater resources have been depleted in the western and southwestern regions in the past decades due to excessive extraction and caused extensive land subsidence along coastal areas.  The most notorious land subsidence region is located at the Choshuichi Alluvial Fan of central Taiwan, with an active subsiding area of over 600 km 2 and a maximum subsiding rate up to 10 cm/yr. In short, the groundwater level dropped from a value close to sea-level down to − 30 m from 1974 to 2006 Introduction 3

Fig. 1. Locations of the groundwater monitoring wells (open circles) and GPS sites (solid dots) in the Choshuichi Alluvial Fan of western Taiwan. The Choshui River flows through the middle of the fan and separates two sections: northern Changhua and southern Yunlin Counties. Groundwater flow directions are expressed in gray dashed arrows. The severe land subsidence is located in the southern area of the Yunlin County. Stations which are taken as examples and discussed in Figs. 5–7 are marked with open squares. 4

CountyStationCodeLongitudeLatitudeAquifer 1Aquifer 2Aquifer 3Aquifer 4 ChanghuaChaochiaCC OO ChanghuaHsikangCG OOOO ChanghuaChuanhsinCH OOOO ChanghuaChutangCT OO ChanghuaHsihuCU OO ChanghuaHsichouCZ OO ChanghuaErshuiES O ChanghuaFangyuanFY OO ChanghuaHanbaoHB OOO ChanghuaHohsinHN OOO ChanghuaHaoshiuHO OOO ChanghuaHsienhsiHS OOO ChanghuaHuatangHT OOO ChanghuaKanyuanJY OO ChanghuaKuoshenKS OOO ChanghuaLochinLT OOO ChanghuaHsiantienST OO ChanghuaTanchienTC OO ChanghuaTungfangTF OO ChanghuaTienweiTW OO ChanghuaTienchungTZ OO ChanghuaWenchangWC OOO ChanghuaYuanlinYL OOO ChiayiAnhoAH OOO ChiayiSanhoSH OO ChiayiTungjungTR OOO ChiayiTungshiTS OOO YunlinAn-nanAN OO YunlinPaotzeBT OOO YunlinChiungpuCP O YunlinFengjungFG OOO YunlinFangtsaoFT OO YunlinChiuchuangGC OOOO YunlinChiahsinGH OO YunlinHou-AnHA O YunlinHuweiHE O YunlinHaifengHF OO YunlinHofengHG OO YunlinHuhsiHH OOO YunlinHsiloHL OO YunlinHonglungHR OO YunlinHsinhuaHU OO YunlinHaiyuanHY OOOO YunlinI-wuIW OOOO YunlinChiulungJL OOO YunlinKanchiaoKC OO YunlinKinghuKH OO YunlinKukengKK O YunlinKanghouKU OOO YunlinLiuhoLH OO YunlinLungtzeLZ O YunlinMinteMT OOO YunlinPeikangPK OO YunlinShuilinSN OO YunlinShiliuSO OO YunlinTakuoTG OO YunlinTunghoTH OOO YunlinTungkuangTK OOOO YunlinTzetungTN OO YunlinTsaitsoTT OO YunlinTienyangTY OOO YunlinWentsoWR OO YunlinYuanchangYC O Table 1. The locations and observation aquifers of Choshuichi alluvial fan used in this study. 5

 Because the Choshuichi Alluvial Fan can be divided into three aquifers for a depth of 250 m according to subsurface hydrogeology each station may have one to five screens situated in different wells for fully observing changes from shallow to deep aquifers. The groundwater levels of these aquifers indicate two major flow directions: northwest in Changhua county and southwest in Yunglin county 6

Fig. 2. Contours of groundwater level aquifer 1 from years of 1994–2005 versus

 In this study, we (Chen et al.) examine the correlation between the land subsidence (deduced from GPS data) and the groundwater level variations of monitoring wells in the period between 1994 and  Our (Chen et al.) aim is to quantitatively describe the relationship between vertical displacement on surface and groundwater level variation in identifying the distinctive effects among aquifers and derive the long-term trend for the land subsidence area.  The behavior of aquifers is vital to the understanding of land subsidence process. The long-term trend is very valuable in developing an effective and appropriate remediation strategy for the land and water resources management in a large scale. 8

 Taiwan GPS Network was firstly established by the Institute of Earth Sciences, Academia Sinica in The number of continuous GPS sites had been rapidly increased to 320 after the 1999 Taiwan Chi-Chi earthquake.  In this study, we use GPS vertical displacements from two continuous sites, PKGM (RGPSPKGM; °N, °E) and S103(RGPSS103; °N, °E) to analyze variations of vertical motions associated with groundwater levels from 1994 to Methodology 9

 The groundwater-levels in the aquifers are recorded digitally every hour by piezometers. For a better and consistent comparison, records of the groundwater level and vertical displacement of GPS are both transferred as monthly data, RAaqST and RGPSST, where aq and ST denote the aqth aquifer and the station, respectively.  AaqST and GPSST, are respectively calculated as the yearly changes of the RAaqST and RGPSST with a step of one month. 10

The linear relationship between the AaqST and GPSST can be written as: (1) where x aq and i denote the coefficients of the AaqST and the sequence numbers of monitor aquifers, respectively 11

Because responses of land subsidence caused by excessive extraction in groundwater are generally not constant, for simplification in analysis, the unknown long term trend is expressed by a temporal function of 4 orders since 1974, and is added into Eq. (1). Thus, the linear relationship between GPS and groundwater level can be rewritten as: (2) where y is the observation year and x j is the coefficient of the long term subsidence 12

Since recording the temporal period of the AaqST exceeds the unknown elements xaq and xj, the traditional least squares method is employed: (3) Here, A is the AaqST in a particular year (y − 1974)j (y=1994 to 2006). B is the GPSST, and x represents the x aq and x j of Eq. (2). 13

When we solve the linear relationship, the synthetic surface variations (S v ) can be simultaneously given by A multiplied by x; and the obtained correlation coefficient (C.C.) serves as an index which expresses the strength and direction of a linear relationship between the GPS ST and S v. In general, when the C.C. is larger than 0.5, the relationship is mainly a positive correlation and the GPS ST can be roughly estimated by the S v. 14

Observations and discussion for groundwater level data Fig. 2. Contours of groundwater level aquifer 1 from years of 1994–2005 versus 2006 aquifer 1 15

Fig. 3. Contours of groundwater level aquifer 2 from years of 1994–2005 versus 2006 aquifer 2 16

aquifer 3 Fig. 4. Contours of groundwater level aquifer 3 from years of 1994–2005 versus

To explore the relationship between the land subsidence and the groundwater level changes, records of two GPS observations, PKGM in the severe land subsidence area and S103 in a normal stable place, are compared with the groundwater variations of Peikang (PK) and Tungjung (TR) wells, Relationships of groundwater levels to GPS data 18

19

(a)Time-series variations of the raw GPS, groundwater data of aquifers 2 and 3. (b) Time-series variations of the raw GPS (shadow line) and groundwater data of aquifers 2 and 3 without seasnal effect and the correlations between them. The synthetic vertical changes are expressed as lines of solid dots without long term subsidence accounted) and open triangles (with long term subsidence accounted), respectively. (c) The deduced long term trend of the land subsidence relative to The shadow zone represents study data covering the Chi-Chi earthquake. Relations between groundwater level variations and GPS PKGM vertical changes at the Paikang (PK) site. 20

21

Relations between groundwater level variations and GPSs103 vertical changes at the Tungjung (TR) site. (a)Time-series variations of the raw GPS s103 and groundwater data of aquifers 1, 2 and 3. (b) Time-series variations of the raw GPS (shadow line) and groundwater data of aquifers 1, 2 and 3 without seasonal effect, and the correlation between them. Line with solid dots shows the synthetic vertical changes without long term subsidence estimation. The shadow zone represents study data covering the Chi-Chi earthquak 22

23

Relations between groundwater level variations at the Tungkuang (TK) site and GPS PKGM vertical changes. (a) Time-series variations of the raw GPS (shadow line), groundwater data of aquifers 2 and 3 without seasonal effect and the correlations between them. The synthetic vertical changes are expressed as lines of solid dots (without long term subsidence accounted) and open triangles (with long term subsidence accounted), respectively. (b) The deduced long term trend of the land subsidence at the TK site. The shadow zone exhibits study data covering the Chi-Chi earthquake 24

 Overdraft of groundwater in the Choshuichi Alluvial Fan has been the major mechanism for a negative impact of land subsidence.  The elevation changes in the subsidence area are primarily affected by two factors: (1)the current groundwater level variations and (2)a long term trend caused by the past excessive extraction in aquifers. The two factors can be separated and estimated by a linear relationship and temporal functions. Conclusions 25

 In addition, the correlation coefficient between the synthetic and observed elevation changes can be served as an effective and quantitative indicator in differentiating the normal and/or subsidence area and weighting factor for various aquifers.  The results of this study can provide a useful reference of remediation strategy for the land and water resources management in active subsiding areas. 26