應用多時域雷達干涉技術於於台灣屏東平原沿海區域測量抽水引致地層下陷

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歐司瓦(Oswald R. Sitanggang) 查詢紙本館藏

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應用地質研究所

論文名稱

應用多時域雷達干涉技術於於台灣屏東平原沿海區域測量抽水引致地層下陷
(Implementation of Multi-Temporal InSAR to assess pumping induced land subsidence near the coastal line of Pingtung Plain, Taiwan)

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摘要(中)

對於台灣西南部的農業與養殖漁業而言，屏東平原的地下水資源極為重要。由於對於地下水資源的過度依賴，長期超抽地下水被認為是沿海低海拔地區地面沉降的主要原因。傳統地層下陷測量依靠GPS和水準測量數據為主，但是這些技術耗時費力、價格昂貴且測量點有限。為了減輕地層下陷所造成的災害，本研究結合多時域InSAR技術、連續散射體和小基線InSAR技術以監測地下水抽取引起的地面沉陷。本研究中將利用StaMPS / MTI（Stanford Method for Persistent Scatterer / Multi-temporal），結合25張由2004年至2009年的ENVISAT ASAR衛星圖像與NASA SRTM所測得的20公尺數值高程模型（DEM）以消除地形造成的效應。研究結果顯示相對於2004-2010年的平均沉陷數據-21至-28公分/年，多時域InSAR測量的沉陷速率為-20至-29公分/年。 MT-InSAR與水準測量數據之間的相關性為R2值0.69，結合PS-InSAR和SB-InSAR將可獲得更佳的地表變形監測結果。

摘要(英)

Pingtung Plain is imperative groundwater assets territories in southwestern Taiwan due to the creating of farming and aquaculture. The utilizations of groundwater have expanded essentially. Long-term over-extraction of groundwater are suspected to play a dominant role in land subsidence where the elevation along the coastal area is lower than seawater level. Traditional measurements of land subsidence rely on GPS and leveling data. However, those techniques are time-consuming, high-priced and limitation on geodetic points. In terms of natural hazard mitigation, this study uses Multi-temporal InSAR combining Persistent Scatterer and Small Baseline InSAR techniques to monitor land subsidence due to groundwater pumping. 25 ENVISAT ASAR images satellite were acquired from 2004-2009, to obtain the surface deformation by utilizing StaMPS/MTI (Stanford Method for Persistent Scatterer/Multi-temporal) program and utilizes the 20 meter of Digital Elevation Model (DEM) from NASA’S Shuttle Radar Topography Mission (SRTM) to completely remove the topographic issue. The subsidence rate measured with multi-temporal InSAR is -20 mm/years to -29 mm/year corresponds to leveling data is from 2004-2010 is -21 mm/years to -28 mm/years. Correlation between MT-InSAR and leveling data shows a higher correlation with R-squared value is 0.69. Combining PS-InSAR and SB-InSAR can optimize the detection of surface deformation.

關鍵字(中)

★ 地層下陷
★ 多時相InSAR
★ 地下水

關鍵字(英)

★ Land subsidence
★ Multi-temporal InSAR
★ Groundwater

論文目次

List of Contents
摘要 i
Abstract ii
Acknowledgments iii
List of Contents iv
List of Figure vi
Chapter 1. Introduction 1
1.1. Background and Motivation for the study 1
1.2. Objective 4
Chapter 2. Literature Review 5
2.1. Land subsidence due to groundwater pumping 5
2.2. Interferometry synthetic aperture radar 7
2.2.1. InSAR Decorrelation problem 8
Chapter 3. Methodology 10
3.1 Description of study area 10
3.2. Data source 12
3.1.1. ENVISAT ASAR satellite 12
3.1.2. Leveling Data 13
3.1.3. Groundwater level data 14
3.3. Methodology 15
3.3.1. Multi-Temporal InSAR 15
Chapter 4. Results & Discussion 18
4.1. Multi-temporal InSAR 18
4.2. Comparison Multi-temporal InSAR with leveling data 21
4.3. Groundwater Observation 35
Chapter 5. Conclusion & Suggestions 36
Reference 37
Appendix 41
StaMPS/MTI parameters 44
PS Processing 44
Small Baseline Processing 50

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指導教授

倪春發(Chuen-Fa Ni)

審核日期

2018-1-30

推文