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研究生: 何桑妮
Sanidhya Nika Purnomo
論文名稱: 印度尼西亞三寶壟地下水抽取引起的地層下陷和沿海溢淹
Land Subsidence and Coastal Flooding Induced by Groundwater Abstraction in Semarang, Indonesia
指導教授: 羅偉誠
Lo, Wei-Cheng
學位類別: 博士
Doctor
系所名稱: 工學院 - 水利及海洋工程學系
Department of Hydraulic & Ocean Engineering
論文出版年: 2022
畢業學年度: 110
語文別: 英文
論文頁數: 126
中文關鍵詞: 地下水抽取地面沉降沿海洪水數值模型MODFLOWHEC-RAS 2D
外文關鍵詞: groundwater abstraction, land subsidence, coastal flooding, numerical model, MODFLOW, HEC-RAS 2D
ORCID: https://orcid.org/0000-0003-2241-985X
ResearchGate: Sanidhya Nika Purnomo
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  • Semarang City is densely inhabited and one of Indonesia's metropolitan cities, as well as the provincial capital of Central Java. Semarang, like the majority of the north coast of Java, has a long and complex history of land subsidence and coastal flooding (in the local language, rob). Northern Semarang, which lies immediately close to the Java Sea, has suffered hundreds of years of sedimentation as a result of coastal processes, resulting in the advancement of the shoreline. The soil layer in the northern portion of Semarang City is formed of Holocene alluvial material that is inherently susceptible to compaction due to the sedimentation process. As a result of changes in land use into residential, industrial, and service districts, alluvial soil originating from the sedimentation process experiences land subsidence due to the weight of buildings, infrastructure, and excessive water pumping. At the same time, due to the tides, locations affected by land subsidence eventually experience coastal flooding. Coastal flooding that occurs along the shore of Semarang is exacerbated by the presence of sea level rise, causing severe damage to local residents. Massive losses ensued from the region's situation, which was marked by coastal flooding and sea level rise.

    The purpose of this study was to investigate the long-term impact of excessive water pumping on land subsidence and coastal flooding in Semarang coastal area. Numerous groundwater abstraction scenarios in northern Semarang that resulted in land subsidence were simulated using a numerical model, followed by simulations of several coastal flooding scenarios resulting from land subsidence and sea level rise. This study was carried out by numerically modeling groundwater and land subsidence with MODFLOW and coastal flooding with HEC RAS 2D.

    Several boundary conditions and data were used to simulate groundwater, land subsidence, and coastal flooding, after previously making a conceptual model with a grid size of 100 m x 100 m in MODFLOW. In the groundwater and land subsidence model, there are three boundary conditions, i.e. no-flow boundaries, groundwater separation boundaries, and constant head boundaries, whereas the boundary conditions for the coastal flooding model are stage hydrographs derived from tidal data along the coastline and flow hydrographs as upstream boundary conditions for the river. The groundwater and land subsidence model uses rainfall data as recharge, soil characteristics, well placement, and pump discharge, whereas the coastal flooding model uses topographic data derived from the Digital Elevation Model (DEM).

    Several simulations of groundwater abstraction were run on the numerical model. The initial simulation is a steady-state groundwater simulation, which will be used to check that the hydrogeological input data is reasonable after the simulation results are verified using recorded groundwater data from six observation wells. Furthermore, groundwater abstraction and land subsidence numerical simulations were performed for transient flow and coastal floods, where groundwater abstraction is scenariod following the trend of the number of registered deep wells in Semarang City and their output capacity that reported from 1900 to 2000. Groundwater level and land subsidence contours will be derived through simulation of groundwater scenarios and used for verification and validation using recorded groundwater data from six observation wells and soil subsidence data from land subsidence monitoring tools. In this study, several sources of land subsidence monitoring data were used, i.e. GPS, and InSAR, where the monitoring data was used as a verifier for the land subsidence simulation. Today, InSAR is one of the trends in the field of geomatics to monitor land subsidence. In contrast to leveling and GPS which must be carried out in the field every year so that it will incur high costs, InSAR is considered a monitoring tool that is cheap, easy, and does not require a long time to get the data.

    The next numerical simulations are TS1, TS2, TS3, and TS4, which project land subsidence until 2050. Simulation TS1 is a prediction of land subsidence if the scenario from the initial simulation is executed until 2050. Meanwhile, TS2, TS3, and TS4, are predictions of land subsidence carried out to determine the optimal groundwater management method in reducing land subsidence. Contours of land subsidence due to groundwater abstraction for each scenario are obtained from land subsidence simulation using MODFLOW.

    The HEC-RAS 2D coastal flood simulation was performed based on the contours of the previous settlement simulation results. The scenarios used to perform the numerical simulation of coastal flooding are EXT, S1, S3 and S4. The EXT simulation is a numerical simulation of coastal flooding using topographic DEM data published by DEMNAS Indonesia at a resolution of 0.27 arcsec ≈ 8.325 m, with boundary conditions derived from a 25-year return period hydrograph and no SLR tides exist. The EXT scenario is performed by calibrating the estimated land-use roughness coefficient in the study area. While the S1, S3 and S4 simulations are simulations performed on topographic data from the TS1, TS3 and TS4 scenarios respectively by adding a sea level rise scenario by 2050.

    The findings revealed that coastal flooding and land subsidence caused by groundwater pumping poses a major hazard to the northern part of Semarang City. Using DEM from DEMNAS in EXT scenario, it can be seen that the area experiencing inundation due to coastal flooding is 76.22 km2. Meanwhile, under the TS1 scenario, the area experiencing land subsidence is 18.76 km2 and the inundated area is 78.65 km2. By implementing a groundwater management scenario that includes a 5% (TS3) and 10% (TS4) reduction in the growth of deep wells and their production capacity between 2035 and 2050, it is possible to control and even restore groundwater in several locations, until the inundation area can be reduced by 21.21% in TS3, and 24.98% in TS4. Therefore, it is possible to lessen land subsidence and coastal flooding, but not eliminate coastal flooding entirely.

    Keywords: groundwater abstraction, land subsidence, coastal flooding, numerical model, MODFLOW, HEC-RAS 2D.

    Contents Approval ii Abstract iv Biography Sketch vii Dedication viii Acknowledgment ix Contents xi List of Figures xiv List of Tables xvii CHAPTER 1 – INTRODUCTION 1 1.1. General 1 1.2. Scope of Problem, Objective, and Aim 4 1.3. Location of Study Area 5 1.4. Organization of Dissertation 6 CHAPTER 2 – LITERATURE REVIEW AND RESEARCH METHODOLOGY 8 2.1. Groundwater 8 2.1.1. Groundwater abstraction and management 8 2.1.2. Groundwater Modeling 10 2.2. Groundwater Abstraction in Semarang City 12 2.3. Land Subsidence 13 2.3.1. Land subsidence phenomenon 13 2.3.2. Land subsidence interdisciplinary research 15 2.4. Groundwater and land subsidence numerical model 16 2.5. Error Measurement of Models 18 2.5.1. Root Mean Square Error (RMSE) 18 2.5.2. Coefficient of determination (R2) 18 2.6. Interferometric Synthetic Aperture Radar (InSAR) Data and Processing 19 2.7. Coastal Flooding in Semarang City 21 2.8. HEC-RAS 22 2.9. Research Method 24 CHAPTER 3 – GEOLOGY, HYDROGEOLOGICAL, AND HYDROLOGY SETTING 27 3.1. Geological Setting 27 3.2. Hydrogeological Setting 30 3.3. Hydrological Setting 37 CHAPTER 4 – LAND DEFORMATION MONITORING 39 4.1. Leveling and GPS Survey For Land Subsidence Monitoring 39 4.2. Land Deformation Mapping 40 CHAPTER 5 – GROUNDWATER AND LAND SUBSIDENCE NUMERICAL MODEL 44 5.1. Conceptual Model 44 5.2. Groundwater Numerical Model for The Steady-State Flow Model 47 5.3. Groundwater and Land Subsidence in The Past 49 5.4. Future Projection of Groundwater and Land Subsidence 55 CHAPTER 6 – PROJECTING THE IMPACT OF LAND SUBSIDENCE AND SEA LEVEL RISE ON COASTAL FLOODING IN THE NORTHERN PART OF SEMARANG CITY 67 6.1. General 67 6.2. Coastal Flood Modeling and Simulation 68 6.2.1. Coastal Inundation Model in Semarang City 68 6.2.2. Sea level and sea level rise projection as downstream boundary condition 71 6.2.3. Flow discharge as upstream boundary condition 72 6.2.3.1. Synthetic Unit Hydrograph (SUH) GAMA I 73 6.2.3.2. Rainfall Hourly Distribution (RHD) Tadashi Tanimoto 75 6.3. Coastal Flood Projection in the Northern Part of Semarang City 77 CHAPTER 7 – CONCLUSIONS AND RECOMMENDATIONS 86 7.1. Research Conclusions 86 7.1.1. Modeling of groundwater overpumping and groundwater management 86 7.1.2. The relationship between excessive water pumping, groundwater management, and land subsidence 87 7.1.3. Coastal flooding induced by land subsidence and sea level rise 88 7.2. Technical Recommendation 89 7.3. Limitations and Future Works 90 Reference 92 List of Appendices 112

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