Combination of a pressure source and block movement for ground deformation analysis at Merapi volcano prior to the eruptions in 2006 and 2010

During mapping work carried out since October 2015 in the Nowy Kościół area in the Kaczawskie Foothills, Western Sudetes, a number of morphological forms were identified and catalogued. They indicate surface transformation due to ceased mining activity. Several depressions and grabens were recognized during the digital terrain model and satellite images analysis. The range of deformation has been determined, and their spatial parameters and the maximal depression of the ground level within the mining area have been estimated and described. Such ground level depressions have not been examined in detail before. The main aim of the studies was to determine the usefulness of geomorphometric methods based on LiDAR digital elevation models (DEM) for the purposes of high quality description of surface deformation caused by underground mining operations.

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Detecting the Unstable Points in Deformation Monitoring Geodetic Networks in Analysis Method of Subnetwork

Modern Applied Science ◽

10.5539/mas.v11n3p61 ◽

2016 ◽

Vol 11 (3) ◽

pp. 61

Author(s):

Peyman Javadi

Keyword(s):

Least Squares ◽

Ground Deformation ◽

Monitoring Network ◽

Deformation Monitoring ◽

Deformation Analysis ◽

L1 Norm ◽

Spreading Effect ◽

Real Network ◽

Norm Minimization ◽

Subnetwork Analysis

One of the most crucial issues in engineering of structure and investigating ground deformation is deformation monitoring. The only thing which is strongly required is to create microgeodesy networks. An essential issue in microgeodesy networks is detecting unstable points of network. L1-Norm minimization and the global congruency can be noted as one of the classical methods for identifying network unstable points. In all previously conducted studies regarding this issue, results distinctly demonstrates that when displacement point vector is small, the number of points which have really displaced is more than that of true detection of displaced points using common deformation analysis ways. The probable reason for that can refer to spreading nature of the least squares estimation. Considering the results of recent studies in the detecting the network unstable points, to tackle the limitation the idea of subnetwork analysis is offered. In this case, some subnetworks including a subject point and the other source points appeared from dividing the deformation monitoring network. According to the unstable points, subnetworks will be there. This method will enable us to investigate the stable and unstable points. Having divided whole network to subnetworks, each network would be adjusted and unstable points of it would be detected. So, unstable points and their relations are cutoff and spreading effect of the least squares is fallen. This paper is on effort to evaluate the method in a simulated and a real network. The results prove that in a better and correct detection of unstable point can be successfully achieved by using subnetwork analysis compared to global congruency test all stimulates states proved the 35% of improvement on average. One percent of improvement in the results of subnetwork method to L1-Norm minimization cannot be acceptable. The algorithms of detecting unstable points in common methods and the method of analyzing subnetwork were conducted on a real network and the results are in line with simulated network results.

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Research of Mining Subsided Land Reclamation System Based on GIS

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.130-134.1858 ◽

2011 ◽

Vol 130-134 ◽

pp. 1858-1861

Author(s):

Da Bing Yang ◽

Wen Xin Zhang ◽

Qing Yao

Keyword(s):

Economic Evaluation ◽

Land Reclamation ◽

Ground Deformation ◽

Evaluation Model ◽

Calculation Model ◽

Deformation Analysis ◽

Effective Measure ◽

Volume Calculation ◽

Suitability Evaluation ◽

Reclamation System

Land reclamation is an effective measure in recovering land resources, protecting ecological environment and solving the contradiction between people and land. This paper adopts ArcEngine, ArcSDE, Oracle, Micirosoft Visual C# and other technologies to develop mining subsided land reclamation system which integrates reclamation suitability evaluation model, ground deformation prediction model, land cube calculation model and economic evaluation model. The system realized the information and network management about mining subsided land, provided the functions such as map operation, ground deformation analysis, earth volume calculation, reclamation suitability evaluation and economic evaluation. It can be used to help decision maker choose and plan their activities more effectively and scientifically to match situation of land reclamation and ecological restoration.

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ANALISIS DEFORMASI GUNUNG API BATUR BERDASARKAN DATA PENGAMATAN GPS BERKALA TAHUN 2008, 2009, 2013, DAN 2015 DEFORMATION ANALYSIS OF BATUR VOLCANO BASED ON PERIODIC GPS OBSERVATIONS DATA IN 2008, 2009, 2013, AND 2015

Jurnal Lingkungan dan Bencana Geologi ◽

10.34126/jlbg.v9i1.194 ◽

2018 ◽

Vol 9 (1) ◽

pp. 1

Author(s):

Achmad Faris ◽

Estu Kriswati ◽

Irwan Meilano ◽

Dina Anggreni Sarsito

Keyword(s):

Volcanic Activity ◽

Ground Deformation ◽

Displacement Vector ◽

Deformation Analysis ◽

Gps Data ◽

Deformation Pattern ◽

The North ◽

Strain Pattern ◽

Batur Volcano ◽

Gps Observations

ABSTRAKGunung Batur yang terletak di Kabupaten Bangli, Bali, terakhir meletus pada tahun 2000. Pada 2009 terjadi peningkatan aktivitas vulkanis di Gunug Batur walaupun tidak terjadi letusan. Penelitian ini bertujuan untuk mengetahui pola deformasi pada Gunung Batur serta keterkaitannya dengan peningkatan vulkanis pada tahun 2009. Analisis didasarkan pada pola vektor pergeseran dan pola regangan masing-masing titik pengamatan GPS berkala pada area Gunung Batur tahun 2008, 2009, 2013, dan 2015. Berdasarkan pengamatan GPS Oktober 2008-November 2009 pola deformasi menunjukkan adanya inflasi dengan pola vektor pergeseran titik pengamatan GPS dominan ke arah luar dari Gunung Batur, selain itu pola regangan memperlihatkan bahwa pada area bagian utara dan timurlaut Gunung Batur dominan terjadi ekstensi. Pada pengamatan GPS untuk periode November 2009-Februari 2013 pola deformasi menunjukkan adanya deflasi pada Gunung Batur dengan pola vektor pergeseran titik pengamatan GPS berarah menuju Gunung Batur dan pola regangan memperlihatkan bahwa pada area Gunung Batur terjadi kompresi. Kata Kunci: Gunung Batur, deflasi, deformasi, pergeseran, GPS, inflasi, regangan. ABSTRACTBatur volcano located in Bangli, Bali, last erupted in 2000. Increased in the volcanic activity occurred in 2009 but did not followed by eruption. This study aims to determine ground deformation pattern in Batur volcano and its association with the increased in volcanic activity in 2009 based on the pattern of displacement vector and strain using 2008-2015 campaign GPS data. During period of October 2008-November 2009, Batur Volcano experience inflation and strain pattern shows that the area of the north and northeast of Batur Volcano experienced extension. During November 2009-February 2013, Batur Volcano experienced deflation with GPS displacement directed towards Batur Volcano and a strain pattern of compression around Batur Volcano. Keywords: Batur Volcano, deflation, deformation, displacement, GPS, inflation, strain.

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Ground Deformation of Mayon Volcano Revealed by GPS Campaign Survey

Journal of Disaster Research ◽

10.20965/jdr.2015.p0106 ◽

2015 ◽

Vol 10 (1) ◽

pp. 106-112

Author(s):

Akimichi Takagi ◽

◽

Kenji Fujiwara ◽

Takahiro Ohkura ◽

Artemio C. Luis ◽

...

Keyword(s):

Volume Change ◽

Ground Deformation ◽

Source Parameters ◽

Pressure Source ◽

Mayon Volcano ◽

Observation Network ◽

Preparation Stage ◽

Gps Observation ◽

Continuous Gps ◽

Do So

Determining the location and the amount of volume change of the pressure source beneath a volcano during the eruption preparation stage is an important issue in monitoring the magma accumulation. To do so, we have implemented a GPS campaign survey network around the Mayon volcano and monitored ground deformation since 2005. Rapid grounddeflating deformation was detected accompanied by the 2009 eruption. The Mogi model pressure source was estimated to be 8.5 km deep beneath the summit and the amount of volume change –13 × 106 m3. In magma accumulation preceding the 2009 eruption, ground deformation showed a weak inflationary trend, but it was difficult to evaluate the source parameters definitively. After the 2009 eruption, no deformation has been detected by the Continuous GPS observation network since 2012. Trend of many baselines of continuous and campaign network turned to extension since 2014. Magma may have started accumulating beneath the Mayon volcano.

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