Web-GIS Based Visualization System of Predicted Ground Vibration Induced by Blasting in Urban Quarry Sites
Blasting is routinely carried out at various resource extraction sites, even in urban areas. As a consequence of this, residents around urban quarry sites are affected by ground vibration induced by blasting on a regular basis. In this study, a prediction and visualization system for ground vibratio...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
2019
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| Online Access: | http://hdl.handle.net/20.500.11937/75761 |
| _version_ | 1848763548388294656 |
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| author | Kawamura, Youhei Moriyama, Yoshio Jang, Hyong Doo |
| author_facet | Kawamura, Youhei Moriyama, Yoshio Jang, Hyong Doo |
| author_sort | Kawamura, Youhei |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Blasting is routinely carried out at various resource extraction sites, even in urban areas. As a consequence of this, residents around urban quarry sites are affected by ground vibration induced by blasting on a regular basis. In this study, a prediction and visualization system for ground vibrations is developed for the purpose of reducing the adverse psychological effects of blasting. The system consists of predicting ground vibration using an Artificial Neural Network (ANN) and visualizing it on an online map using Web-GIS. A prediction model using ANN that learned the optimum weight by taking 50 sets of data indicated a regression value of 0.859 and a Mean Square Error (MSE) of 0.0228. Compared with previous researches, these values are not bad results. Peak Particle Velocity (PPV) was used as a metric to measure ground vibration intensity. A color contour is generated using GIS tools based on the PPV value of each prediction point. The system is completed by overlaying the contour onto a basic map in a website. The basic map shows the surrounding area through the use of Google Maps data. This system can be used by anyone with access to the internet and a browser, requiring no special software or hardware. In addition, mining operations can utilize the data to modify blasting design and planning to minimize ground vibration. In conclusion, this system has the potential to alleviate the worries of surrounding residents caused by ground vibrations from blasting due to the fact that they can personally check the predicted vibration around their locale. Furthermore, since this data will be publicly available on the internet, it is also possible that this system can contribute to research in other fields. |
| first_indexed | 2025-11-14T11:05:13Z |
| format | Journal Article |
| id | curtin-20.500.11937-75761 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:05:13Z |
| publishDate | 2019 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-757612019-06-18T06:25:46Z Web-GIS Based Visualization System of Predicted Ground Vibration Induced by Blasting in Urban Quarry Sites Kawamura, Youhei Moriyama, Yoshio Jang, Hyong Doo Blasting is routinely carried out at various resource extraction sites, even in urban areas. As a consequence of this, residents around urban quarry sites are affected by ground vibration induced by blasting on a regular basis. In this study, a prediction and visualization system for ground vibrations is developed for the purpose of reducing the adverse psychological effects of blasting. The system consists of predicting ground vibration using an Artificial Neural Network (ANN) and visualizing it on an online map using Web-GIS. A prediction model using ANN that learned the optimum weight by taking 50 sets of data indicated a regression value of 0.859 and a Mean Square Error (MSE) of 0.0228. Compared with previous researches, these values are not bad results. Peak Particle Velocity (PPV) was used as a metric to measure ground vibration intensity. A color contour is generated using GIS tools based on the PPV value of each prediction point. The system is completed by overlaying the contour onto a basic map in a website. The basic map shows the surrounding area through the use of Google Maps data. This system can be used by anyone with access to the internet and a browser, requiring no special software or hardware. In addition, mining operations can utilize the data to modify blasting design and planning to minimize ground vibration. In conclusion, this system has the potential to alleviate the worries of surrounding residents caused by ground vibrations from blasting due to the fact that they can personally check the predicted vibration around their locale. Furthermore, since this data will be publicly available on the internet, it is also possible that this system can contribute to research in other fields. 2019 Journal Article http://hdl.handle.net/20.500.11937/75761 10.4236/jgis.2019.111002 http://creativecommons.org/licenses/by/4.0/ fulltext |
| spellingShingle | Kawamura, Youhei Moriyama, Yoshio Jang, Hyong Doo Web-GIS Based Visualization System of Predicted Ground Vibration Induced by Blasting in Urban Quarry Sites |
| title | Web-GIS Based Visualization System of Predicted Ground Vibration Induced by Blasting in Urban Quarry Sites |
| title_full | Web-GIS Based Visualization System of Predicted Ground Vibration Induced by Blasting in Urban Quarry Sites |
| title_fullStr | Web-GIS Based Visualization System of Predicted Ground Vibration Induced by Blasting in Urban Quarry Sites |
| title_full_unstemmed | Web-GIS Based Visualization System of Predicted Ground Vibration Induced by Blasting in Urban Quarry Sites |
| title_short | Web-GIS Based Visualization System of Predicted Ground Vibration Induced by Blasting in Urban Quarry Sites |
| title_sort | web-gis based visualization system of predicted ground vibration induced by blasting in urban quarry sites |
| url | http://hdl.handle.net/20.500.11937/75761 |