The Experts below are selected from a list of 13785 Experts worldwide ranked by ideXlab platform
Huili Gong - One of the best experts on this subject based on the ideXlab platform.
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quantifying the contribution of multiple factors to Land Subsidence in the beijing plain china with machine learning technology
Geomorphology, 2019Co-Authors: Chaofan Zhou, Huili Gong, Beibei Chen, Mingliang Gao, Xu Wang, Lin Guo, Min Shi, Guangyao DuanAbstract:Abstract Land Subsidence is the ground surface response to underground space development, utilization and evolution. Presently, Land Subsidence has developed into a global, comprehensive and interdisciplinary complex systems problem. More than half a century has passed since the discovery of Subsidence in the Beijing Plain in the 1960s. In this study, we investigate the Land Subsidence in the Beijing Plain over the period of 2003–2015 using ENVISAT ASAR and RADARSAT-2 interferometric datasets and the small baseline subset interferometric synthetic aperture radar (SBAS-InSAR) technique. Furthermore, we introduced the data field model and index-based built-up index (IBI) to obtain the dynamic and static load information of the Beijing Plain. Then, based on a machine learning method, we selected the gradient lifting decision tree (GBDT) model to quantitatively analyze the contributions of groundwater level change, compressible deposit thickness and dynamic and static loads to Land Subsidence. The results showed that the maximum Land Subsidence rate was 122 and 141 mm/year in 2003–2010 and 2010–2015, respectively. Comparisons between the SBAS-InSAR results and leveling measurements showed that the minimum absolute error achieved was only 0.2 mm/year. We suggest that the groundwater exploitation in the third confined aquifer has greater impacts on Land Subsidence in the Beijing Plain than the other factors. The Land Subsidence likely occurred in compressible deposit thicknesses exceeding 90 m. Moreover, we found that the compressible thickness and groundwater level contributions to Land Subsidence exceeded 60%. Our results provide a scientific basis for the regulation and control of regional Land Subsidence.
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Time-series evolution patterns of Land Subsidence in the eastern Beijing Plain, China
MDPI AG, 2019Co-Authors: Junjie Zuo, Huili Gong, Beibei Chen, Kaisi Liu, Chaofan ZhouAbstract:Land Subsidence in the Eastern Beijing Plain has a long history and is always serious. In this paper, we consider the time-series evolution patterns of the eastern of Beijing Plain. First, we use the Persistent Scatterer Interferometric Synthetic Aperture Radar (PSI) technique, with Envisat and Radarsat-2 data, to monitor the deformation of Beijing Plain from 2007 to 2015. Second, we adopt the standard deviation ellipse (SDE) method, combined with hydrogeological data, to analyze the spatial evolution patterns of Land Subsidence. The results suggest that Land Subsidence developed mainly in the northwest–southeast direction until 2012 and then expanded in all directions. This process corresponds to the expansion of the groundwater cone of depression range after 2012, although Subsidence is restricted by geological conditions. Then, we use the permutation entropy (PE) algorithm to reverse the temporal evolution pattern of Land Subsidence, and interpret the causes of the phenomenon in combination with groundwater level change data. The results show that the time-series evolution pattern of the Land Subsidence funnel edge can be divided into three stages. From 2009 to 2010, the Land Subsidence development was uneven. From 2010 to 2012, the Land Subsidence development was relatively even. From 2012 to 2013, the development of Land Subsidence became uneven. However, Subsidence within the Land Subsidence funnel is divided into two stages. From 2009 to 2012, the Land Subsidence tended to be even, and from 2012 to 2015, the Land Subsidence was relatively more even. The main reason for the different time-series evolution patterns at these two locations is the annual groundwater level variations. The larger the variation range of groundwater is, the higher the corresponding PE value, which means the development of the Land Subsidence tends to be uneven
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long term groundwater storage changes and Land Subsidence development in the north china plain 1971 2015
Hydrogeology Journal, 2018Co-Authors: Huili Gong, Xiaojuan Li, Longqun Zheng, Chong Zhang, Zhiyong Huang, Zhiping Li, Haigang Wang, Chaofan ZhouAbstract:The North China Plain (NCP) has been suffering from groundwater storage (GWS) depletion and Land Subsidence for a long period. This paper collects data on GWS changes and Land Subsidence from in situ groundwater-level measurements, literature, and satellite observations to provide an overview of the evolution of the aquifer system during 1971–2015 with a focus on the sub-regional variations. It is found that the GWS showed a prolonged declining rate of −17.8 ± 0.1 mm/yr during 1971–2015, with a negative correlation to groundwater abstraction before year ~2000 and a positive correlation after ~2000. Statistical correlations between Subsidence rate and the GWS anomaly (GWSA), groundwater abstraction, and annual precipitation show that the Land Subsidence in three sub-regions (Beijing, Tianjin, and Hebei) represents different temporal variations due to varying driver factors. Continuous drought caused intensive GWS depletion (−76.1 ± 6.5 mm/yr) and Land Subsidence in Beijing during 1999–2012. Negative correlations between total groundwater abstraction and Land Subsidence exhibited after the 1980s indicate that it may be questionable to infer Subsidence from regional abstraction data. Instead, the GWSA generally provides a reliable correlation with Subsidence. This study highlights the spatio-temporal variabilities of GWS depletion and Land Subsidence in the NCP under natural and anthropogenic impacts, and the importance of GWS changes for understanding Land Subsidence development.
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Land Subsidence prediction in beijing based on ps insar technique and improved grey markov model
Giscience & Remote Sensing, 2017Co-Authors: Zeng Deng, Huili GongAbstract:Land Subsidence induced by excessive groundwater withdrawal has caused serious social, geological, and environmental problems in Beijing. Rapid increases in population and economic development have aggravated the situation. Monitoring and prediction of ground settlement is important to mitigate these hazards. In this study, we combined persistent-scatterer interferometric synthetic aperture radar with Grey system theory to monitor and predict Land Subsidence in the Beijing plain. Land Subsidence during 2003–2014 was determined based on 39 ENVISAT advanced synthetic aperture radar (ASAR) images and 27 RadarSat-2 images. Results were consistent with global positioning system, leveling measurements at the point level and TerraSAR-X Subsidence maps at the regional level. The average deformation rate in the line-of-sight was from −124 to 7 mm/year. To predict future Subsidence, the time-series deformation was used to build a prediction model based on an improved Grey-Markov model (IGMM), which adapted the conv...
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imaging Land Subsidence induced by groundwater extraction in beijing china using satellite radar interferometry
Remote Sensing, 2016Co-Authors: Mi Chen, Zhenhong Li, Mahdi Motagh, Tao Li, Leyin Hu, Huili Gong, Xiaojuan Li, Jun Yu, Xulong GongAbstract:Beijing is one of the most water-stressed cities in the world. Due to over-exploitation of groundwater, the Beijing region has been suffering from Land Subsidence since 1935. In this study, the Small Baseline InSAR technique has been employed to process Envisat ASAR images acquired between 2003 and 2010 and TerraSAR-X stripmap images collected from 2010 to 2011 to investigate Land Subsidence in the Beijing region. The maximum Subsidence is seen in the eastern part of Beijing with a rate greater than 100 mm/year. Comparisons between InSAR and GPS derived Subsidence rates show an RMS difference of 2.94 mm/year with a mean of 2.41 ± 1.84 mm/year. In addition, a high correlation was observed between InSAR Subsidence rate maps derived from two different datasets (i.e., Envisat and TerraSAR-X). These demonstrate once again that InSAR is a powerful tool for monitoring Land Subsidence. InSAR derived Subsidence rate maps have allowed for a comprehensive spatio-temporal analysis to identify the main triggering factors of Land Subsidence. Some interesting relationships in terms of Land Subsidence were found with groundwater level, active faults, accumulated soft soil thickness and different aquifer types. Furthermore, a relationship with the distances to pumping wells was also recognized in this work.
Hasanuddin Z Abidin - One of the best experts on this subject based on the ideXlab platform.
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insight analysis on dyke protection against Land Subsidence and the sea level rise around northern coast of java pantura indonesia
Geoplanning: Journal of Geomatics and Planning, 2018Co-Authors: Heri Andreas, Hasanuddin Z Abidin, Dina Anggreni Sarsito, Dhota PradiptaAbstract:Land Subsidence and the sea level rise is newly well-known phenomenon around northern coast of Java Indonesia (PANTURA). The occurrence of Land Subsidence at least recognizes at the first of the city or urban area development, while the sea level rise was recognized from several last decades corresponds to the global warming. Following the both phenomena, tidal inundation (in Javanese they call it “Rob”) is now becoming another newly well-known phenomenon along PANTURA. In the recent years the tidal inundation comes not only at a high tide but even at the regular tide in some area. Sea level rise and the Land Subsidence are considered as the causes deriving the occurrence of tidal inundation. Dykes have been built against tidal inundation around PANTURA (e.g. in Jakarta, Blanakan, Pekalongan, Semarang, and Demak). Nevertheless, since the Land Subsidence and the sea level rise are believed to be continuing through times, insight analysis on these dyke’s “protector” is necessary. How long the dyke would effectively protect the Land area would be highlight in this paper.
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on correlation between urban development Land Subsidence and flooding phenomena in jakarta
Changes in Flood Risk and Perception in Catchments and Cities - IAHS Symposium HS01 26th General Assembly of the International Union of Geodesy and Ge, 2015Co-Authors: Hasanuddin Z Abidin, Heri Andreas, I Gumilar, I R R WibowoAbstract:Abstract. Jakarta is the capital city of Indonesia with a population of about 10.2 million people, inhabiting an area of about 660 square-km. It is located within a deltaic plain and passes by 13 natural and artificial rivers. In the last three decades, urban development of Jakarta has grown very rapidly in the sectors of industry, trade, transportation, real estate and many others, which has caused several negative environmental impacts. In turns Jakarta is then prone toward a few natural hazards mainly Land Subsidence and flooding. In general, based on geodetic measurement methods (e.g. Leveling, GPS surveys, and InSAR), conducted since 1982 up to 2014, it is obtained that Land Subsidence in Jakarta exhibits spatial and temporal variations, with the typical rates of about 3 to 10 cm year−1. In general, the impacts of Land Subsidence in Jakarta can be seen in the forms of cracking of permanent constructions and roads, changes in river canal and drain flow systems, wider expansion of coastal and/or inLand flooding areas, and malfunction of drainage system. Several areas along the coast of Jakarta already have experienced tidal flooding during high tide periods. These coastal flooding usually occurs in the areas with relatively large Subsidence rates. Subsidence in the areas along the rivers which are flowing throughout Jakarta will also worsen the impacts of riverine flooding. The changes in river canal and drain flow systems and malfunction of drainage system due to Land Subsidence will also aggravate the flooding. Land Subsidence will have direct and indirect affects with the flooding in Jakarta, both in coastal or inLand areas.
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Land Subsidence groundwater extraction and flooding in bandung basin indonesia
2014Co-Authors: I Gumilar, Mourad El-Gamal, Teguh P Sidiq, Hasanuddin Z Abidin, Heri Andreas, Yoichi FukudaAbstract:Increase in urban development activities and urbanization rate in the Bandung Basin have increased groundwater extraction from the aquifers, which has then led to Land Subsidence in several locations in the basin. Based on GPS (Global Positioning System) and InSAR (Interferometry Syntetic Aperture Radar) data, the estimated Subsidence rates vary spatially from 2 to 20 cm/year. Maximum Subsidence during the period of 1999–2010 is about 3 m and largest in industrial areas. Site visit surveys were also conducted to map and evaluate the impacts of the Land Subsidence.
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Land Subsidence in coastal city of semarang indonesia characteristics impacts and causes
Geomatics Natural Hazards and Risk, 2013Co-Authors: Hasanuddin Z Abidin, Teguh P Sidiq, Heri Andreas, I Gumilar, Yoichi FukudaAbstract:Semarang is the capital of Central Java province, located in the northern coast of Java isLand, Indonesia. Land Subsidence in Semarang has been widely reported and its impacts can be seen already in daily life. Based on the estimation from Levelling, Interferometric Synthetic Aperture Radar (InSAR), Microgravity and Global Positioning System (GPS) survey methods, Land Subsidence with rates of up to about 19 cm/year were observed during the period of 1999 up to 2011. Results derived from GPS since 2008 up to 2011 show that Land Subsidence in Semarang has spatial and temporal variations, with spatial average rates of about 6 to 7 cm/year and maximum rates that can go up to 14–19 cm/year at certain locations. The northern region of Semarang along the coast exhibits higher rates of Subsidence compared to its southern region, and this Subsidence is believed to be caused by the combination of natural consolidation of young alluvium soil, groundwater extraction and load of buildings and constructions. The impact...
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on the roles of geospatial information for risk assessment of Land Subsidence in urban areas of indonesia
2013Co-Authors: Hasanuddin Z Abidin, Teguh P Sidiq, Heri Andreas, I Gumilar, Yoichi FukudaAbstract:Land Subsidence is a silent hazard that may occurs in large urban areas, and usually caused by combination of excessive groundwater extraction, natural consolidation of alluvium soil, load of constructions and tectonic activities. Geospatial information is useful for studying the characteristics, causes, impacts and cost of Land Subsidence. This paper concentrates on the roles of geospatial information for risk assessment of Land Subsidence in three large cities in Indonesia, namely Jakarta, Bandung and Semarang. Geodetic based results show that Land Subsidence rates in all three cities generally have spatial and temporal variations, and their magnitude is in average about 5–10 cm/year and can reach up to about 20 cm/year at certain locations and times. The impact of Land Subsidence can be seen already in the field in forms of the buildings and infrastructure cracking, the wider expansion of (coastal) flooding areas, and increased inLand sea water intrusion. Land Subsidence has a strong linkage with urban development process. Urban development increases the built-up areas, population, economic and industrial activities, and also groundwater extraction, which can then lead to Land Subsidence.
Chaofan Zhou - One of the best experts on this subject based on the ideXlab platform.
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quantifying the contribution of multiple factors to Land Subsidence in the beijing plain china with machine learning technology
Geomorphology, 2019Co-Authors: Chaofan Zhou, Huili Gong, Beibei Chen, Mingliang Gao, Xu Wang, Lin Guo, Min Shi, Guangyao DuanAbstract:Abstract Land Subsidence is the ground surface response to underground space development, utilization and evolution. Presently, Land Subsidence has developed into a global, comprehensive and interdisciplinary complex systems problem. More than half a century has passed since the discovery of Subsidence in the Beijing Plain in the 1960s. In this study, we investigate the Land Subsidence in the Beijing Plain over the period of 2003–2015 using ENVISAT ASAR and RADARSAT-2 interferometric datasets and the small baseline subset interferometric synthetic aperture radar (SBAS-InSAR) technique. Furthermore, we introduced the data field model and index-based built-up index (IBI) to obtain the dynamic and static load information of the Beijing Plain. Then, based on a machine learning method, we selected the gradient lifting decision tree (GBDT) model to quantitatively analyze the contributions of groundwater level change, compressible deposit thickness and dynamic and static loads to Land Subsidence. The results showed that the maximum Land Subsidence rate was 122 and 141 mm/year in 2003–2010 and 2010–2015, respectively. Comparisons between the SBAS-InSAR results and leveling measurements showed that the minimum absolute error achieved was only 0.2 mm/year. We suggest that the groundwater exploitation in the third confined aquifer has greater impacts on Land Subsidence in the Beijing Plain than the other factors. The Land Subsidence likely occurred in compressible deposit thicknesses exceeding 90 m. Moreover, we found that the compressible thickness and groundwater level contributions to Land Subsidence exceeded 60%. Our results provide a scientific basis for the regulation and control of regional Land Subsidence.
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Time-series evolution patterns of Land Subsidence in the eastern Beijing Plain, China
MDPI AG, 2019Co-Authors: Junjie Zuo, Huili Gong, Beibei Chen, Kaisi Liu, Chaofan ZhouAbstract:Land Subsidence in the Eastern Beijing Plain has a long history and is always serious. In this paper, we consider the time-series evolution patterns of the eastern of Beijing Plain. First, we use the Persistent Scatterer Interferometric Synthetic Aperture Radar (PSI) technique, with Envisat and Radarsat-2 data, to monitor the deformation of Beijing Plain from 2007 to 2015. Second, we adopt the standard deviation ellipse (SDE) method, combined with hydrogeological data, to analyze the spatial evolution patterns of Land Subsidence. The results suggest that Land Subsidence developed mainly in the northwest–southeast direction until 2012 and then expanded in all directions. This process corresponds to the expansion of the groundwater cone of depression range after 2012, although Subsidence is restricted by geological conditions. Then, we use the permutation entropy (PE) algorithm to reverse the temporal evolution pattern of Land Subsidence, and interpret the causes of the phenomenon in combination with groundwater level change data. The results show that the time-series evolution pattern of the Land Subsidence funnel edge can be divided into three stages. From 2009 to 2010, the Land Subsidence development was uneven. From 2010 to 2012, the Land Subsidence development was relatively even. From 2012 to 2013, the development of Land Subsidence became uneven. However, Subsidence within the Land Subsidence funnel is divided into two stages. From 2009 to 2012, the Land Subsidence tended to be even, and from 2012 to 2015, the Land Subsidence was relatively more even. The main reason for the different time-series evolution patterns at these two locations is the annual groundwater level variations. The larger the variation range of groundwater is, the higher the corresponding PE value, which means the development of the Land Subsidence tends to be uneven
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long term groundwater storage changes and Land Subsidence development in the north china plain 1971 2015
Hydrogeology Journal, 2018Co-Authors: Huili Gong, Xiaojuan Li, Longqun Zheng, Chong Zhang, Zhiyong Huang, Zhiping Li, Haigang Wang, Chaofan ZhouAbstract:The North China Plain (NCP) has been suffering from groundwater storage (GWS) depletion and Land Subsidence for a long period. This paper collects data on GWS changes and Land Subsidence from in situ groundwater-level measurements, literature, and satellite observations to provide an overview of the evolution of the aquifer system during 1971–2015 with a focus on the sub-regional variations. It is found that the GWS showed a prolonged declining rate of −17.8 ± 0.1 mm/yr during 1971–2015, with a negative correlation to groundwater abstraction before year ~2000 and a positive correlation after ~2000. Statistical correlations between Subsidence rate and the GWS anomaly (GWSA), groundwater abstraction, and annual precipitation show that the Land Subsidence in three sub-regions (Beijing, Tianjin, and Hebei) represents different temporal variations due to varying driver factors. Continuous drought caused intensive GWS depletion (−76.1 ± 6.5 mm/yr) and Land Subsidence in Beijing during 1999–2012. Negative correlations between total groundwater abstraction and Land Subsidence exhibited after the 1980s indicate that it may be questionable to infer Subsidence from regional abstraction data. Instead, the GWSA generally provides a reliable correlation with Subsidence. This study highlights the spatio-temporal variabilities of GWS depletion and Land Subsidence in the NCP under natural and anthropogenic impacts, and the importance of GWS changes for understanding Land Subsidence development.
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spatial temporal evolution patterns of Land Subsidence with different situation of space utilization
Natural Hazards, 2015Co-Authors: Beibei Chen, Huili Gong, Kunchao Lei, Mingliang Gao, Chaofan ZhouAbstract:Long-term over-exploitation of underground water, static and dynamic load is increasing year by year, which influenced the occurrence and development of regional Land Subsidence in Beijing, China. We used Envisat advanced synthetic aperture radar data acquired from 2003 to 2009 and PSI (persistent scatterers for SAR interferometry) and small baseline technology to estimate regional Land Subsidence information in Beijing, China. In different situation of space utilization, we chose five typical settlement areas according to classified information of Land-use, multi-spectral remote sensing images and geological data. We analyzed the time-series evolution characteristics of uneven Subsidence by GIS spatial analysis. The comparative analysis results suggest that for five typical settlement areas, the complex situations of space utilization affect the trend of uneven Subsidence, the simpler space utilization situation (relatively fewer transport lines, construction), the smaller settlement differences and the smaller trend of the uneven Subsidence.
Chunmiao Zheng - One of the best experts on this subject based on the ideXlab platform.
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groundwater pumping optimization for Land Subsidence control in beijing plain china
Hydrogeology Journal, 2018Co-Authors: Charles Andrews, Fang Tia, Guoliang Cao, Yong Luo, Jiurong Liu, Chunmiao ZhengAbstract:Beijing, in the North China plain, is one of the few megacities that uses groundwater as its main source of water supply. Groundwater accounts for about two-thirds of the city’s water supply, and during the past 50 years the storage depletion from the unconsolidated aquifers underlying the city has been >10.4 billion m3. By 2010, groundwater pumping in the city had resulted in a cumulative Subsidence of greater than 100 mm in an area of about 3,900 km2, with a maximum cumulative Subsidence of >1,200 mm. This Subsidence has caused significant social and economic losses in Beijing, including significant damage to underground utilities. This study was undertaken to evaluate various future pumping scenarios to assist in selecting an optimal pumping scenario to minimize overall Subsidence, meet the requirements of the Beijing Land Subsidence Prevention Plan (BLSPP 2013–2020), and be consistent with continued sustainable economic development. A numerical groundwater and Land-Subsidence model was developed for the aquifer system of the Beijing plain to evaluate Land Subsidence rates under the possible future pumping scenarios. The optimal pumping scenario consistent with the evaluation constraints is a reduction in groundwater pumping from three major pumping centers by 100, 50 and 20%, respectively, while maintaining an annual pumping rate of 1.9 billion m3. This scenario’s Land-Subsidence rates satisfy the BLSPP 2013–2020 and the pumping scenario is consistent with continued economic development. It is recommended that this pumping scenario be adopted for future Land-Subsidence management in Beijing.
Heri Andreas - One of the best experts on this subject based on the ideXlab platform.
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insight analysis on dyke protection against Land Subsidence and the sea level rise around northern coast of java pantura indonesia
Geoplanning: Journal of Geomatics and Planning, 2018Co-Authors: Heri Andreas, Hasanuddin Z Abidin, Dina Anggreni Sarsito, Dhota PradiptaAbstract:Land Subsidence and the sea level rise is newly well-known phenomenon around northern coast of Java Indonesia (PANTURA). The occurrence of Land Subsidence at least recognizes at the first of the city or urban area development, while the sea level rise was recognized from several last decades corresponds to the global warming. Following the both phenomena, tidal inundation (in Javanese they call it “Rob”) is now becoming another newly well-known phenomenon along PANTURA. In the recent years the tidal inundation comes not only at a high tide but even at the regular tide in some area. Sea level rise and the Land Subsidence are considered as the causes deriving the occurrence of tidal inundation. Dykes have been built against tidal inundation around PANTURA (e.g. in Jakarta, Blanakan, Pekalongan, Semarang, and Demak). Nevertheless, since the Land Subsidence and the sea level rise are believed to be continuing through times, insight analysis on these dyke’s “protector” is necessary. How long the dyke would effectively protect the Land area would be highlight in this paper.
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on correlation between urban development Land Subsidence and flooding phenomena in jakarta
Changes in Flood Risk and Perception in Catchments and Cities - IAHS Symposium HS01 26th General Assembly of the International Union of Geodesy and Ge, 2015Co-Authors: Hasanuddin Z Abidin, Heri Andreas, I Gumilar, I R R WibowoAbstract:Abstract. Jakarta is the capital city of Indonesia with a population of about 10.2 million people, inhabiting an area of about 660 square-km. It is located within a deltaic plain and passes by 13 natural and artificial rivers. In the last three decades, urban development of Jakarta has grown very rapidly in the sectors of industry, trade, transportation, real estate and many others, which has caused several negative environmental impacts. In turns Jakarta is then prone toward a few natural hazards mainly Land Subsidence and flooding. In general, based on geodetic measurement methods (e.g. Leveling, GPS surveys, and InSAR), conducted since 1982 up to 2014, it is obtained that Land Subsidence in Jakarta exhibits spatial and temporal variations, with the typical rates of about 3 to 10 cm year−1. In general, the impacts of Land Subsidence in Jakarta can be seen in the forms of cracking of permanent constructions and roads, changes in river canal and drain flow systems, wider expansion of coastal and/or inLand flooding areas, and malfunction of drainage system. Several areas along the coast of Jakarta already have experienced tidal flooding during high tide periods. These coastal flooding usually occurs in the areas with relatively large Subsidence rates. Subsidence in the areas along the rivers which are flowing throughout Jakarta will also worsen the impacts of riverine flooding. The changes in river canal and drain flow systems and malfunction of drainage system due to Land Subsidence will also aggravate the flooding. Land Subsidence will have direct and indirect affects with the flooding in Jakarta, both in coastal or inLand areas.
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Land Subsidence groundwater extraction and flooding in bandung basin indonesia
2014Co-Authors: I Gumilar, Mourad El-Gamal, Teguh P Sidiq, Hasanuddin Z Abidin, Heri Andreas, Yoichi FukudaAbstract:Increase in urban development activities and urbanization rate in the Bandung Basin have increased groundwater extraction from the aquifers, which has then led to Land Subsidence in several locations in the basin. Based on GPS (Global Positioning System) and InSAR (Interferometry Syntetic Aperture Radar) data, the estimated Subsidence rates vary spatially from 2 to 20 cm/year. Maximum Subsidence during the period of 1999–2010 is about 3 m and largest in industrial areas. Site visit surveys were also conducted to map and evaluate the impacts of the Land Subsidence.
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Land Subsidence in coastal city of semarang indonesia characteristics impacts and causes
Geomatics Natural Hazards and Risk, 2013Co-Authors: Hasanuddin Z Abidin, Teguh P Sidiq, Heri Andreas, I Gumilar, Yoichi FukudaAbstract:Semarang is the capital of Central Java province, located in the northern coast of Java isLand, Indonesia. Land Subsidence in Semarang has been widely reported and its impacts can be seen already in daily life. Based on the estimation from Levelling, Interferometric Synthetic Aperture Radar (InSAR), Microgravity and Global Positioning System (GPS) survey methods, Land Subsidence with rates of up to about 19 cm/year were observed during the period of 1999 up to 2011. Results derived from GPS since 2008 up to 2011 show that Land Subsidence in Semarang has spatial and temporal variations, with spatial average rates of about 6 to 7 cm/year and maximum rates that can go up to 14–19 cm/year at certain locations. The northern region of Semarang along the coast exhibits higher rates of Subsidence compared to its southern region, and this Subsidence is believed to be caused by the combination of natural consolidation of young alluvium soil, groundwater extraction and load of buildings and constructions. The impact...
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on the roles of geospatial information for risk assessment of Land Subsidence in urban areas of indonesia
2013Co-Authors: Hasanuddin Z Abidin, Teguh P Sidiq, Heri Andreas, I Gumilar, Yoichi FukudaAbstract:Land Subsidence is a silent hazard that may occurs in large urban areas, and usually caused by combination of excessive groundwater extraction, natural consolidation of alluvium soil, load of constructions and tectonic activities. Geospatial information is useful for studying the characteristics, causes, impacts and cost of Land Subsidence. This paper concentrates on the roles of geospatial information for risk assessment of Land Subsidence in three large cities in Indonesia, namely Jakarta, Bandung and Semarang. Geodetic based results show that Land Subsidence rates in all three cities generally have spatial and temporal variations, and their magnitude is in average about 5–10 cm/year and can reach up to about 20 cm/year at certain locations and times. The impact of Land Subsidence can be seen already in the field in forms of the buildings and infrastructure cracking, the wider expansion of (coastal) flooding areas, and increased inLand sea water intrusion. Land Subsidence has a strong linkage with urban development process. Urban development increases the built-up areas, population, economic and industrial activities, and also groundwater extraction, which can then lead to Land Subsidence.
