• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2018년도 학술발표회
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• pp.148-148
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• 2018

Land subsidence caused by excessive groundwater pumping is a serious hydro-geological hazard. The spatial variability in land use, unbalanced groundwater extraction and aquifer characteristics are the key factors which make the problem more difficult to monitor using conventional methods. This study uses the European Space Agency (ESA) Sentinel satellites to investigate and monitor land subsidence varying with different land covers and groundwater use in the arid Quetta valley, Pakistan. The Persistent Scattering Differential Interferometry of Synthetic Aperture Radar (PS-DInSAR) method was used to develop 28 subsidence interferograms of the study area for the period between 16 Oct 2014 and 06 Oct 2016 using ESA's Sentinel-1 SAR data. The uncertainty of DInSAR result is first minimized by removing the dynamic effect caused by atmospheric factors and then filtered using the radar Amplitude Dispersion Index (ADI) to select only the stable pixels. Finally the subsidence maps were generated by spatially interpolating the land subsidence at the stable pixels, the comparison of DInSAR subsidence with GPS readings showed an R 2 of 0.94 and mean absolute error of $5.7{\pm}4.1mm$. The subsidence maps were also analysed for the effect of aquifer type and 4 land covers which were derived from Sentienl-2 multispectral images. The analysis show that during the two year period, the study area experienced highly non-linear land subsidence ranging from 10 to 280 mm. The subsidence at different land covers was significantly different from each other except between the urban and barren land. The barren land and seasonally cultivated area show minor to moderate subsidence while the orchard and urban area with high groundwater extraction rate showed excessive amount of land subsidence. Moreover, the land subsidence and groundwater drawdown was found to be linearly proportional to each other.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
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• pp.407-410
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• 2006

There are many problems which takes long time and lots of work to monitor land subsidence by traditional method. These problems can be solved by GPS. Combining with the field example, this paper studies the application of GPS to monitoring land subsidence, analyses the advantages and errors of GPS survey method, and puts forth the suitable conditions of monitoring land subsidence by GPS.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2017년도 학술발표회
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• pp.192-192
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• 2017

In this paper we showed the application of European Space Agency's C-band Sentinel-1 Synthetic Aperture Radar (SAR) imagery to identify land subsidence in a heavily groundwater pumping area. We used the repeat pass satellite interferometry method in combination with persistent scattering (PS) interferometric technique to generate and analyze twenty-eight interferograms for the period October 2014 to November 2016. The interferometry results show that land subsidence is more pronounced in the urban areas. Excessive groundwater pumping in the study area is believed to be the main reason for land subsidence. The results are compared with the subsidence rate measured by GPS as reported in other studies and with the mean change in total water storage field of GRACE solutions provided by the Jet Propulsion Laboratory (JPL), the German Research Centre for Geosciences (GFZ) and the Center for Space Research (CSR). The comparison shows persistently decreasing trends during the period of study. A strong reliance of the trend of land subsidence on the temporal decline in total water storage proposes that much of the land subsidence can be attributed to heavy pumping of the groundwater.

• 한국지하수토양환경학회지:지하수토양환경
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• 제28권6호
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• pp.45-57
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• 2023

To assess land subsidence estimation and preparedness in the Geum River basin, this study applied GIS techniques and identified six key areas. The Geum River basin has experienced an increase in heavy rainfall since late 2010, and four study areas have shown an increase in groundwater levels. Land subsidence primarily occurred from June to September, with higher rainfall years in 2020 and 2023. Approximately 83.6% of land subsidence in Chungcheongbuk-do province occurred in Cheongju-si, mainly attributed to aging sewage pipes. The regions experiencing population growth have likely led to the construction of underground infrastructures and sewer pipes. Thus, it is considered that various factors, including sewage pipe leaks, precipitation, slope gradient, low drainage density, and groundwater level fluctuations, have contributed to land subsidence. Improving land subsidence estimation involves incorporating additional natural factors and human activities.

• 대한원격탐사학회지
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• 제36권6_1호
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• pp.1303-1322
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• 2020

Indonesia is more prone to natural disasters due to its geological condition under the three main plates, making Indonesia experience frequent seismic activity, causing earthquakes, volcanic eruption, and tsunami. Those disasters could lead to other disasters such as landslides, floods, land subsidence, and coastal inundation. Monitoring those disasters could be essential to predict and prevent damage to the environment. We reviewed the application of remote sensing and Geographic Information System (GIS) for detecting natural disasters in the case of Indonesia, based on 43 articles. The remote sensing and GIS method will be focused on InSAR techniques, image classification, and susceptibility mapping. InSAR method has been used to monitor natural disasters affecting the deformation of the earth's surface in Indonesia, such as earthquakes, volcanic activity, and land subsidence. Monitoring landslides in Indonesia using InSAR techniques has not been found in many studies; hence it is crucial to monitor the unstable slope that leads to a landslide. Image classification techniques have been used to monitor pre-and post-natural disasters in Indonesia, such as earthquakes, tsunami, forest fires, and volcano eruptions. It has a lack of studies about the classification of flood damage in Indonesia. However, flood mapping was found in susceptibility maps, as many studies about the landslide susceptibility map in Indonesia have been conducted. However, a land subsidence susceptibility map was the one subject to be studied more to decrease land subsidence damage, considering many reported cases found about land subsidence frequently occur in several cities in Indonesia.

• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2006년도 공동학술대회 논문집
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• pp.277-280
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• 2006

다수의 공업단지가 갯벌을 매워 조성된 간척지 위에 건설되었다. 공업단지들이 이렇듯 연약한 지반 위에 있기 때문에 지반침하에 의한 영향을 받을 가능성이 클 것으로 생각된다. 지반침하를 관측하는 일은 공공 방재를 위해서도 필요한 일이다. 본 연구에서는 새롭게 개발된 지표 변위 관측 기법인 영구산란체법(PSInSAR technique)을 이용하여 인천항 연안에서 10여 년 전 발생했던 지표변위를 관측하였다. 해당 지역은 이미 20년 전에 간척이 완료된 지역임에도 불구하고 6년 동안 상당한 변위가 관찰되었다. 지반침하 속도가 최고에 달하는 곳은 3mm/년에 이르기도 했다. 연구에는 JERS-1의 자료가 사용되었다.

• 지질공학
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• 제27권2호
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• pp.133-141
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• 2017

본 연구에서는 지반함몰의 실질적 원인인 토립자 유실에 의한 함몰 가능성을 판단하기 위해 댐설계 시 활용되고 있는 코어재와 필터재의 입도 차이에 의한 필터조건을 굴착공사 주변의 지반조건에 대한 평가 조건으로 응용하였다. 이를 위해 여러 제안자들이 실험 등을 통해 제안한 필터 기준을 확인하였으며, 이 중 미공병단에서 제안한 필터조건을 이용하여 지반입도 조건에 따른 지반함몰 가능성을 판단해 보았다. 이를 통해 사용자가 지반조사 정보로부터 획득한 지반입도조건을 이용하여 빠르게 지반함몰 가능성을 판단할 수 있는 평가도표를 작성하였으며, 다양한 굴착 주변의 지층 변화에 따른 지반함몰 가능성을 쉽게 평가해 볼 수 있을 것으로 판단된다. 또한, 입자유동 과정을 모사하기 위해 PFC3D 프로그램을 활용하였으며, 이것은 단순 지하수위 저하에 의한 지반침하 경향을 판단하는 것이 아니라 실질적인 토립자 유실에 의한 지반함몰 예측 및 평가가 지반입도조건을 통해 이루어질 수 있고 이를 수치해석 적으로 검증할 수 있음을 나타낸다.

• 해양환경안전학회지
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• 제19권3호
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• pp.233-240
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• 2013

Jakarta is the capital city of Indonesia which has problems of land subsidence with the rates of about 1 to 15 cm/year, up to 20-25 cm/year. The study has examined the land subsidence in Pantai Mutiara, Jakarta Bay which is a reclaimed area by using the Terrestrial LIDAR survey technique. The Terrestrial LIDAR survey results show that the survey site has mean elevation of 0.24 m with the highest elevation of 0.93 m and lowest - 0.35 m. Considering that AHHW (approximate highest high water) is 0.51 m, many areas of the survey site are lying below the AHHW. Pantai Mutiara area is showing various subsidence rates depending on sites although the site is relatively narrow and small (about 1 $km^2$). There is elevation differences of almost 1m within the site. In this study, key information including topography, dike height distribution, and future coastal flooding risk of the survey area was able to be provided by Terrestrial LIDAR survey conducted only once. Especially, as the 3D precision topography effectively conveys important messages relating to vulnerability of the site, policy makers and stakeholders can easily understand the situation of the site.

• Spatial Information Research
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• 제11권3호
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• pp.203-212
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• 2003

본 연구에서는 지반공간의 이해를 증진시키기 위하여 지반조사 자료를 통합하기에 용이한 3차원 GIS를 기반으로 하는 접근을 제안하고, 무안의 주거지 밀집지역에서 발생한 지반침하 지역에 대한 연구를 수행하였다. 본 연구대상 지역은 석회암을 기반암으로 하는 지역이므로 기반암종의 지질적인 구성이 침하발생에 중요한 인자가 된다. 석회암은 지하수로 인해 용식되어 공동을 생성하기 때문에 지하수의 통로가 되는 절리나 파쇄대의 파악이 중요하다. 따라서 유사한 기반암 구성별로 군집화하여 지반을 분류하였으며, 효과적인 지반정보 분석을 위하여 3차원 GIS를 통해 시추공 정보를 가시화하고 통합 분석하였다. 이에 따라 지반정보의 왜곡이 감소되어 지반공간에 대한 효율적인 분석이 가능하게 하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.325-328
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• 2005

To estimate presumptive local ground subsidence area near Abandoned Under ground Coal Mine(AUCM) at Samcheok city in Korea, the geological properties of existing ground subsidence area and the geophysical prospecting data were analyzed using GIS. The electrical resistivity survey and seismic reflection survey database were constructed from investigation reports and factors which are related with ground subsidence such as geological map, topological map, land use map, lineament map, groundwater level, RMR (Rock Mass Rating), mining tunnel map and slope database were constructed also to make a comparative study of each parameters. As a result of the spatial analysis of existing ground subsidence area, 9 major factors causing ground subsidence were extracted and a connection between the structure of underground and the ground subsidence was determined from the analysis of geophysical prospecting data. The estimation of presumptive ground subsidence area was performed using the correlation between the result from neural network analysis of 9 factors and the scrutiny of geophysical prospecting data.