Pub Date : 2022-10-31DOI: 10.46326/jmes.2022.63(5).07
Huan Dinh Trinh, Phuong V. H. Nguyen, Dong Phuong Nguyen, Anh Viet Tran, Tri Cong Luu, T. D. Trinh, Giang Hoang Phan
Since 1960th of last century, thorium minerals investigated in geological research and prospecting projects, although, these thorium resource investigation projects have not been an attempt.Based on previous studies, and coherence to new results, the project has identified 09 types of thorium ore complexes distributed in 03 mineralized regions with different prospects; in those, 3 types: thorianite - uraninite in pegmatite; basnhezite - thorite - uranpirochloro and rare earth - thorium - uranium in the deluvial - proluvial formation are the most prospected.Studie results have established a large potential areas (grade A), 06 potential areas (grade B), and 02 areas that lack potential (grade C); and assessed for thorium resources in rare earth ores in Nam Xe mine (Lai Chau) and Muong Hum area (Lao Cai). It is necessary to promote the investigation and assessment of thorium as well as research on policies on this mineral; indeed, focuses on the large potential area (grade A) and potential areas (grade B), liaise in-depth research on thorium mineralization on 03 established mineralization regions.
{"title":"Thorium ore formations and potential resource in Vietnam territory","authors":"Huan Dinh Trinh, Phuong V. H. Nguyen, Dong Phuong Nguyen, Anh Viet Tran, Tri Cong Luu, T. D. Trinh, Giang Hoang Phan","doi":"10.46326/jmes.2022.63(5).07","DOIUrl":"https://doi.org/10.46326/jmes.2022.63(5).07","url":null,"abstract":"Since 1960th of last century, thorium minerals investigated in geological research and prospecting projects, although, these thorium resource investigation projects have not been an attempt.Based on previous studies, and coherence to new results, the project has identified 09 types of thorium ore complexes distributed in 03 mineralized regions with different prospects; in those, 3 types: thorianite - uraninite in pegmatite; basnhezite - thorite - uranpirochloro and rare earth - thorium - uranium in the deluvial - proluvial formation are the most prospected.Studie results have established a large potential areas (grade A), 06 potential areas (grade B), and 02 areas that lack potential (grade C); and assessed for thorium resources in rare earth ores in Nam Xe mine (Lai Chau) and Muong Hum area (Lao Cai). It is necessary to promote the investigation and assessment of thorium as well as research on policies on this mineral; indeed, focuses on the large potential area (grade A) and potential areas (grade B), liaise in-depth research on thorium mineralization on 03 established mineralization regions.","PeriodicalId":170167,"journal":{"name":"Journal of Mining and Earth Sciences","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122298269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.46326/jmes.2022.63(5).01
Anh Trung Tran, Hanh Tran, Tuan Manh Quach
Filtering the LiDAR point cloud based the Unmaned Aerial Vehilce (UAV - LiDAR) in the dense land cover areas to build a Digital Terrain Model (DTM) is a basic requirement of large-scale topographic mapping. The aim of this paper is to study the use of the Simple Morphological Filter (SMRF) with suitable parameters to separate the non-terrain points (trees, noise points, etc.) and the topographical points. The methods of this article are algorithmic programming and combining the two filtering algorithms including SMRF and distributed filtering. The various data input was studied in the Ba Be case study. These parameters include the grid width called Gcell (m), the radius of filters called nwd and the threshold of the feature elevation called Eth (m). The point cloud of the terrain obtained after applying the SMRF continues to be filtered using distributional filter with the algorithm keeping only minimum elevation in the filtering window in order to remove the locations of high density of points. Then, it will contribute to lighten the point capacity to build DTM, to accurately interpolate the contour lines and to ensure the aesthetics of large-scale topographic maps. The results of the study are the fomulas to estimate reasonable input parameters (Gcell = 3 m, nwd = 3, Eth = 0.2 m) of the two filters for the establishment of a topographic map of 1:2000 scale, 1 m level in the Ba Be national forest, Bac Kan province, Vietnam.
在密集地物覆盖区内，利用无人机-激光雷达对激光雷达点云进行滤波，建立数字地形模型(DTM)，是进行大尺度地形测绘的基本要求。本文的目的是研究使用简单形态滤波器(Simple Morphological Filter, SMRF)和合适的参数来分离非地形点(树木、噪声点等)和地形点。本文采用算法编程的方法，结合SMRF和分布式滤波两种滤波算法。在Ba Be案例研究中研究了各种数据输入。这些参数包括称为Gcell (m)的网格宽度，称为nwd的滤波器半径和称为Eth (m)的特征高程阈值。应用SMRF后得到的地形点云继续使用分布式滤波器进行滤波，算法在滤波窗口中只保持最小的高程，以去除高密度点的位置。从而减轻构建DTM的点容量，实现等高线的精确插值，保证大比例尺地形图的美观性。研究结果为建立越南北坎省巴别国家森林1 m水平1:2000比例尺地形图提供了估算两种滤波器合理输入参数(Gcell = 3 m, nwd = 3, Eth = 0.2 m)的公式。
{"title":"Combination of morphological and distributional filtering for UAV - LiDAR point cloud density to establish the Digital Terrain Model","authors":"Anh Trung Tran, Hanh Tran, Tuan Manh Quach","doi":"10.46326/jmes.2022.63(5).01","DOIUrl":"https://doi.org/10.46326/jmes.2022.63(5).01","url":null,"abstract":"Filtering the LiDAR point cloud based the Unmaned Aerial Vehilce (UAV - LiDAR) in the dense land cover areas to build a Digital Terrain Model (DTM) is a basic requirement of large-scale topographic mapping. The aim of this paper is to study the use of the Simple Morphological Filter (SMRF) with suitable parameters to separate the non-terrain points (trees, noise points, etc.) and the topographical points. The methods of this article are algorithmic programming and combining the two filtering algorithms including SMRF and distributed filtering. The various data input was studied in the Ba Be case study. These parameters include the grid width called Gcell (m), the radius of filters called nwd and the threshold of the feature elevation called Eth (m). The point cloud of the terrain obtained after applying the SMRF continues to be filtered using distributional filter with the algorithm keeping only minimum elevation in the filtering window in order to remove the locations of high density of points. Then, it will contribute to lighten the point capacity to build DTM, to accurately interpolate the contour lines and to ensure the aesthetics of large-scale topographic maps. The results of the study are the fomulas to estimate reasonable input parameters (Gcell = 3 m, nwd = 3, Eth = 0.2 m) of the two filters for the establishment of a topographic map of 1:2000 scale, 1 m level in the Ba Be national forest, Bac Kan province, Vietnam.","PeriodicalId":170167,"journal":{"name":"Journal of Mining and Earth Sciences","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122706561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.46326/jmes.2022.63(5).05
Phuong Huu Thi Nguyen, Duc Van Dang, Xuan T. Nguyen, Loi Huu Pham, Thang Minh Nguyen
The data obtained from LiDAR includes a lot of valuable information and is applied in many different fields such as geodesy - cartography, and antiques. information transmission, etc. LiDAR point cloud contains a lot of information about the object such as high point, point reflection intensity, nominal distance (NPS), and grayscale value, etc., each information is used in different problems. to clarify the three-dimensional spatial distribution, the zoning surface, or the features of the topography and features in the survey area. In the article, the authors use information altitude and reflection intensity, two typical symbols of data LiDAR, to implement a mathematical layer application to set digital elevation (DEM), model the face number (DSM), and 3D model to verify the partition of address, address at the area of testing. Pitch information is used by the author to separate groups of ground (ground) and non-ground (non-ground) points. Value reflection will be used to enhance accuracy when performing groundless classification into vegetative strata, and tall buildings. The use of point intensity reflection enhances the accuracy of previous high point-based geometry processing methods. With the accuracy of the problem analysis class reaching (ground (93.8%), building (91%), and vegetation (93,7%)), the models are set up just out of the partition of the required answer surface of the problem application.
{"title":"LiDAR point cloud classification using point elevation and reflection intensity","authors":"Phuong Huu Thi Nguyen, Duc Van Dang, Xuan T. Nguyen, Loi Huu Pham, Thang Minh Nguyen","doi":"10.46326/jmes.2022.63(5).05","DOIUrl":"https://doi.org/10.46326/jmes.2022.63(5).05","url":null,"abstract":"The data obtained from LiDAR includes a lot of valuable information and is applied in many different fields such as geodesy - cartography, and antiques. information transmission, etc. LiDAR point cloud contains a lot of information about the object such as high point, point reflection intensity, nominal distance (NPS), and grayscale value, etc., each information is used in different problems. to clarify the three-dimensional spatial distribution, the zoning surface, or the features of the topography and features in the survey area. In the article, the authors use information altitude and reflection intensity, two typical symbols of data LiDAR, to implement a mathematical layer application to set digital elevation (DEM), model the face number (DSM), and 3D model to verify the partition of address, address at the area of testing. Pitch information is used by the author to separate groups of ground (ground) and non-ground (non-ground) points. Value reflection will be used to enhance accuracy when performing groundless classification into vegetative strata, and tall buildings. The use of point intensity reflection enhances the accuracy of previous high point-based geometry processing methods. With the accuracy of the problem analysis class reaching (ground (93.8%), building (91%), and vegetation (93,7%)), the models are set up just out of the partition of the required answer surface of the problem application.","PeriodicalId":170167,"journal":{"name":"Journal of Mining and Earth Sciences","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114801427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.46326/jmes.2022.63(5).06
Niem Van Nguyen, Do Duc Nguyen, N. Nguyen, M. Blokhin
Wolfram mineralization in the area of Vau village (Dong Giang district, Quang Nam province) is distributed along the small stream together with other sulfide mineralizations in the form of small to large boulders. Ore minerals are mainly sheelite, pyrhotite, arsenopyrite a little of chalcopyrite and pyrite. The ore is distributed in stockwork type in the gray, light gray metamorphic sedimentary rocks with quartz - mica composition alternated with quartz feldspar mica schist, sericite schist and sericitized schist of the A Vuong formation (Sequene 3). Sheelite exists in the area manifested by hornflization and bezeritization. Ajacent area have weak skarnation. They have manifestations of the wolframite deposit of skarn type. Geochemical characteristics: W in the ore reaches 2,323 ppm (0.023%), As - 110,366 ppm (1.10%), Co - 212.3 ppm, related granite (Ba Na block’s granite) reaching 1,517 ppm wofram situated at the edge of the magma block (fine-grained alaskite, similar to the composition of boulders in the ore strip). There is small-grained granite with a content of 794 ppm at the center of mass. Thus, the two granite types have high level of metallogical specialization of wolframite (Ktt = 397 is fine-grained granite and Ktt = 758.7 is alaskite Granite). Besides, this rock has metallogical specialization of As (277.4 ppm in fine-grained granite, 29.9 ppm in alaskite).
{"title":"Geochemical and geological characteristics indicate the wolframite mineralization for seeking the type of wolframite mine in Vau village and ajacent area (Dong Giang district, Quang Nam province)","authors":"Niem Van Nguyen, Do Duc Nguyen, N. Nguyen, M. Blokhin","doi":"10.46326/jmes.2022.63(5).06","DOIUrl":"https://doi.org/10.46326/jmes.2022.63(5).06","url":null,"abstract":"Wolfram mineralization in the area of Vau village (Dong Giang district, Quang Nam province) is distributed along the small stream together with other sulfide mineralizations in the form of small to large boulders. Ore minerals are mainly sheelite, pyrhotite, arsenopyrite a little of chalcopyrite and pyrite. The ore is distributed in stockwork type in the gray, light gray metamorphic sedimentary rocks with quartz - mica composition alternated with quartz feldspar mica schist, sericite schist and sericitized schist of the A Vuong formation (Sequene 3). Sheelite exists in the area manifested by hornflization and bezeritization. Ajacent area have weak skarnation. They have manifestations of the wolframite deposit of skarn type. Geochemical characteristics: W in the ore reaches 2,323 ppm (0.023%), As - 110,366 ppm (1.10%), Co - 212.3 ppm, related granite (Ba Na block’s granite) reaching 1,517 ppm wofram situated at the edge of the magma block (fine-grained alaskite, similar to the composition of boulders in the ore strip). There is small-grained granite with a content of 794 ppm at the center of mass. Thus, the two granite types have high level of metallogical specialization of wolframite (Ktt = 397 is fine-grained granite and Ktt = 758.7 is alaskite Granite). Besides, this rock has metallogical specialization of As (277.4 ppm in fine-grained granite, 29.9 ppm in alaskite).","PeriodicalId":170167,"journal":{"name":"Journal of Mining and Earth Sciences","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127517285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.46326/jmes.2022.63(5).04
Cong The Nguyen, M. Tran
Completing the land information system and land database is a very important task of the Natural Resources and Environment sector in the period of 2021-2025 in order contribute to reforming administrative procedures, increasing transparency in land management, improve the business environment, towards the digital economy. However, so far, localities across the country have only focused resources on building cadastral databases, while databases on planning, land use plans, land prices, etc. are components. A complete land database has not been paid due attention to investment. The experimental land price database in this study follows the process in Circular No. 05/2017/TT-BTNMT dated April 25, 2017 and ensures compliance with the standard land database specified in Circular No. 75/2015/TT-BTNMT dated December 28, 2015 of the Ministry of Natural Resources and Environment. Land price data is taken from the land price list of Vinh Phuc province (period 2020-2024, adjusted in 2021). This paper introduces the process and results of building a land price database in Dong Cuong commune, Yen Lac district, Vinh Phuc province. Experimental results show that the land price database built according to current regulations, detailed to each land parcel, is an important form of background information and better supports land management agencies. tax collectors as well as land users.
{"title":"Building The Land Price Database Dong Cong commune, Yen Lac District, Vinh Phuc Province","authors":"Cong The Nguyen, M. Tran","doi":"10.46326/jmes.2022.63(5).04","DOIUrl":"https://doi.org/10.46326/jmes.2022.63(5).04","url":null,"abstract":"Completing the land information system and land database is a very important task of the Natural Resources and Environment sector in the period of 2021-2025 in order contribute to reforming administrative procedures, increasing transparency in land management, improve the business environment, towards the digital economy. However, so far, localities across the country have only focused resources on building cadastral databases, while databases on planning, land use plans, land prices, etc. are components. A complete land database has not been paid due attention to investment. The experimental land price database in this study follows the process in Circular No. 05/2017/TT-BTNMT dated April 25, 2017 and ensures compliance with the standard land database specified in Circular No. 75/2015/TT-BTNMT dated December 28, 2015 of the Ministry of Natural Resources and Environment. Land price data is taken from the land price list of Vinh Phuc province (period 2020-2024, adjusted in 2021). This paper introduces the process and results of building a land price database in Dong Cuong commune, Yen Lac district, Vinh Phuc province. Experimental results show that the land price database built according to current regulations, detailed to each land parcel, is an important form of background information and better supports land management agencies. tax collectors as well as land users.","PeriodicalId":170167,"journal":{"name":"Journal of Mining and Earth Sciences","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117069440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.46326/jmes.2022.63(5).02
Long Quoc Nguyen, Tam Thanh Thi Le, C. Le, Cuong Xuan Cao, Minh Tuyet Dang, Dung Ba Nguyen
Recently, the rapid development of unmanned aerial vehicle (UAV) has led to increasingly popular applications of this technology in the field of surveying and mapping. This article presents the result of developing a procedure to produce large-scale topographic maps for open-pit mines in Vietnam in which unmanned aerial vehicles (UAV) are used to collect data. With the goal of creating a procedure that ensures accuracy, safety, and efficiency for the production of topographic maps, the theories and official regulations for measuring and editing topographic maps in general and in mines in particular, as well as using drones in Vietnam have been applied. The procedure is specifically developed for the vertical takeoff and landing (rotary) UAVs. Experiments consisting of the flight altitude calculation, determining the appropriate take-off position, and image acquisition were conducted at two open-pit mines, namely Dong Da Mai coal mine and Long Son quarry to verify the procedure. The digital surface models (DSM) and orthophotos are generated from the acquired photos, georeferenced to the VN-2000 coordinate system using ground control points (GCP), and evaluated with checkpoints. In addition, the experiment included the investigation of the various combination of GCP networks to determine the optimal GCP number for each case. Experimental results show that the procedure is logical, correct, straightforward, safe, and effective. UAV resulted products, such as orthophotos, DSM, and topographic maps were accurate and met the requirements of all the national standards.
{"title":"Developing a procedure to produce large-scale topographic maps of open-pit mines using rotary wing unmanned aerial vehicles","authors":"Long Quoc Nguyen, Tam Thanh Thi Le, C. Le, Cuong Xuan Cao, Minh Tuyet Dang, Dung Ba Nguyen","doi":"10.46326/jmes.2022.63(5).02","DOIUrl":"https://doi.org/10.46326/jmes.2022.63(5).02","url":null,"abstract":"Recently, the rapid development of unmanned aerial vehicle (UAV) has led to increasingly popular applications of this technology in the field of surveying and mapping. This article presents the result of developing a procedure to produce large-scale topographic maps for open-pit mines in Vietnam in which unmanned aerial vehicles (UAV) are used to collect data. With the goal of creating a procedure that ensures accuracy, safety, and efficiency for the production of topographic maps, the theories and official regulations for measuring and editing topographic maps in general and in mines in particular, as well as using drones in Vietnam have been applied. The procedure is specifically developed for the vertical takeoff and landing (rotary) UAVs. Experiments consisting of the flight altitude calculation, determining the appropriate take-off position, and image acquisition were conducted at two open-pit mines, namely Dong Da Mai coal mine and Long Son quarry to verify the procedure. The digital surface models (DSM) and orthophotos are generated from the acquired photos, georeferenced to the VN-2000 coordinate system using ground control points (GCP), and evaluated with checkpoints. In addition, the experiment included the investigation of the various combination of GCP networks to determine the optimal GCP number for each case. Experimental results show that the procedure is logical, correct, straightforward, safe, and effective. UAV resulted products, such as orthophotos, DSM, and topographic maps were accurate and met the requirements of all the national standards.","PeriodicalId":170167,"journal":{"name":"Journal of Mining and Earth Sciences","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127236676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.46326/jmes.2022.63(5).03
C. Le, Cuong Xuan Cao, SongMei Tong, H. V. Dinh
In recent years, three-dimensional (3D) models are being built in many fields including mining. These products are often used to develop a database of smart mines which in terms can be used in the management of production in underground coal mines. Unmanned aerial vehicle (UAV) and terrestrial laser scanning (TLS) technologies are known as the two main technologies that quickly and accurately collect 3D point cloud (PC) data. This article presents the integration of a 3D point cloud produced from UAV photos and TLS to build a detailed 3D model for the ground plant at the level of +35 m in the Nui Beo underground coal mine. To collect data, a DJI Phantom 4 Advanced drone was used to take photos in three modes: a shot angle of 900, a 3D grid with a 450 angle, and a circular flight orbit with 450 and 600 shooting angles. A Faro Focus3D X130 laser scanner was used for scanning the mine shaft’s tower to fill the missing point cloud of the UAV. The PC established by both methods was evaluated for accuracy based on the control points measured by a Leica TS09 total station, which was merged by the Iterative Closest Point (ICP) algorithm. The integrated PC met the accuracy requirement of establishing a 3D model of the study area with the level of detail 3 in the CityGML standard.
{"title":"Research to establish 3D model of mine industrial site area from terrestrial laser scanning and Unmanned aerial vehicle data","authors":"C. Le, Cuong Xuan Cao, SongMei Tong, H. V. Dinh","doi":"10.46326/jmes.2022.63(5).03","DOIUrl":"https://doi.org/10.46326/jmes.2022.63(5).03","url":null,"abstract":"In recent years, three-dimensional (3D) models are being built in many fields including mining. These products are often used to develop a database of smart mines which in terms can be used in the management of production in underground coal mines. Unmanned aerial vehicle (UAV) and terrestrial laser scanning (TLS) technologies are known as the two main technologies that quickly and accurately collect 3D point cloud (PC) data. This article presents the integration of a 3D point cloud produced from UAV photos and TLS to build a detailed 3D model for the ground plant at the level of +35 m in the Nui Beo underground coal mine. To collect data, a DJI Phantom 4 Advanced drone was used to take photos in three modes: a shot angle of 900, a 3D grid with a 450 angle, and a circular flight orbit with 450 and 600 shooting angles. A Faro Focus3D X130 laser scanner was used for scanning the mine shaft’s tower to fill the missing point cloud of the UAV. The PC established by both methods was evaluated for accuracy based on the control points measured by a Leica TS09 total station, which was merged by the Iterative Closest Point (ICP) algorithm. The integrated PC met the accuracy requirement of establishing a 3D model of the study area with the level of detail 3 in the CityGML standard.","PeriodicalId":170167,"journal":{"name":"Journal of Mining and Earth Sciences","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128100791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.46326/jmes.2022.63(5).08
Tinh T. Bui, D. T. Nguyen, Khang Quang Luong, Bac Hoang Bui, Sang Viet Bui
Tam Ky - Phuoc Son area has great potential for gold mineral with 98 gold occurrences, but the evaluation of the entire gold-mineralization potential of the area is still very limited, while this is considered as a basis for planning, exploration, and mining. The paper uses an Artificial Intelligence model which has a name Random Forest to build predictive modeling of mineral perspectivity and to map the gold mineral prospect of the study area. 12 influencing factors are selected to build the dataset for model training and mapping gold minerals prospect, including Geology, fault systems (NE-SW faults, NW-SE faults, sub meridian faults, sub-latitude faults), Bouguer geophysical anomaly, a geochemical anomaly of silver (Ag), gold ( Au), lead (Pb), zinc (Zn), copper (Cu) and distance to the geologic boundary of complexes related to gold mineralization. The data which are generated from these factors are 12 fuzzy maps. This data combines with 98 occurrences’ locations to create a dataset that is used to train a model of mineral perspectivity using the Random Forest algorithm. After training the model is evaluated by validation. The results of the Random Forest predictive modeling of mineral prospects are well trained with an accuracy of 95.99% on the training set and 83.05 on the validation set, the performance of the model is excellent on both datasets with AUC of 0.993 and 0.95, respectively. Finally, a mineral perspectivity map is built using the trained model. The study area is divided into 3 types of areas: high, medium, and low prospects. The area of high prospect is 982.8 km2, covering 71% of the gold occurrences.
Tam Ky - Phuoc Son地区有98个金矿床，具有很大的金矿潜力，但对该地区整体金矿化潜力的评价仍然非常有限，而这被认为是规划、勘探和开采的基础。本文采用Random Forest人工智能模型建立金矿远景预测模型，对研究区金矿远景进行了预测。选取地质、断裂系统(NE-SW断裂、NW-SE断裂、亚子午线断裂、亚纬度断裂)、bouger地球物理异常、银(Ag)、金(Au)、铅(Pb)、锌(Zn)、铜(Cu)地球化学异常、与金矿化有关的杂岩地质边界距离等12个影响因素构建数据集，进行模型训练和金矿找矿。由这些因素产生的数据是12张模糊图。这些数据与98个矿点的位置相结合，创建了一个数据集，用于使用随机森林算法训练矿物透视模型。训练完成后，对模型进行验证。随机森林预测模型在训练集和验证集上的准确率分别达到95.99%和83.05，模型在两个数据集上的AUC分别为0.993和0.95，表现优异。最后，利用训练好的模型构建矿产透视图。研究区划分为高、中、低3类远景区。高找矿面积982.8 km2，占金矿床的71%。
{"title":"Building a Random Forest predictive modeling of mineral perspectivity and Mapping gold mineral prospects in Tam Ky - Phuoc Son, Quang Nam","authors":"Tinh T. Bui, D. T. Nguyen, Khang Quang Luong, Bac Hoang Bui, Sang Viet Bui","doi":"10.46326/jmes.2022.63(5).08","DOIUrl":"https://doi.org/10.46326/jmes.2022.63(5).08","url":null,"abstract":"Tam Ky - Phuoc Son area has great potential for gold mineral with 98 gold occurrences, but the evaluation of the entire gold-mineralization potential of the area is still very limited, while this is considered as a basis for planning, exploration, and mining. The paper uses an Artificial Intelligence model which has a name Random Forest to build predictive modeling of mineral perspectivity and to map the gold mineral prospect of the study area. 12 influencing factors are selected to build the dataset for model training and mapping gold minerals prospect, including Geology, fault systems (NE-SW faults, NW-SE faults, sub meridian faults, sub-latitude faults), Bouguer geophysical anomaly, a geochemical anomaly of silver (Ag), gold ( Au), lead (Pb), zinc (Zn), copper (Cu) and distance to the geologic boundary of complexes related to gold mineralization. The data which are generated from these factors are 12 fuzzy maps. This data combines with 98 occurrences’ locations to create a dataset that is used to train a model of mineral perspectivity using the Random Forest algorithm. After training the model is evaluated by validation. The results of the Random Forest predictive modeling of mineral prospects are well trained with an accuracy of 95.99% on the training set and 83.05 on the validation set, the performance of the model is excellent on both datasets with AUC of 0.993 and 0.95, respectively. Finally, a mineral perspectivity map is built using the trained model. The study area is divided into 3 types of areas: high, medium, and low prospects. The area of high prospect is 982.8 km2, covering 71% of the gold occurrences.","PeriodicalId":170167,"journal":{"name":"Journal of Mining and Earth Sciences","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123237390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.46326/jmes.2022.63(5).10
D. Bui, M. V. Nguyen, Trong Dang Nguyen, Truong Nho Vu
This paper is aimed to address an actual case study on the use of micropile technology for improving the bearing capacity of an old building. The numerical simulation results show that the load-carrying capacity of square footing utilizing micropiles is notably increased. The improvement of the bearing capacity of the foundations depends on the strengthening methods, such as inclination angle ((), length (L), and distance of micropile from the edge of footings (S). Specifically, with the same length value of pile used, the bearing capacity reaches the largest magnitude at the S/B ratios of (0.5(0.75). The use of inclined piles yields a larger magnitude of bearing capacity than the vertical ones, these obtained results are contributed to the contribution of the “confining effects” of soil mass underneaths the footing as subjected to vertical loads. Additionally, if the soil mass below the footing has a high bearing capacity (firm to stiff clayey soils, medium to dense sandy soils…) , the design value of L/B ratio in the strengthening method should be in range of (2.0÷3.0), chosing beyond that optimal range is uneconomical since the improvement of bearing capacity is insignificant. In other words, the relationship between stress bulb in soil under the footing and the length of micropile should be taken into consideration to achieve a higher economic efficiency of the strengthening method.
{"title":"A numerically investigate of the improvement of load carrying capacity of square footings utilizing micropiles","authors":"D. Bui, M. V. Nguyen, Trong Dang Nguyen, Truong Nho Vu","doi":"10.46326/jmes.2022.63(5).10","DOIUrl":"https://doi.org/10.46326/jmes.2022.63(5).10","url":null,"abstract":"This paper is aimed to address an actual case study on the use of micropile technology for improving the bearing capacity of an old building. The numerical simulation results show that the load-carrying capacity of square footing utilizing micropiles is notably increased. The improvement of the bearing capacity of the foundations depends on the strengthening methods, such as inclination angle ((), length (L), and distance of micropile from the edge of footings (S). Specifically, with the same length value of pile used, the bearing capacity reaches the largest magnitude at the S/B ratios of (0.5(0.75). The use of inclined piles yields a larger magnitude of bearing capacity than the vertical ones, these obtained results are contributed to the contribution of the “confining effects” of soil mass underneaths the footing as subjected to vertical loads. Additionally, if the soil mass below the footing has a high bearing capacity (firm to stiff clayey soils, medium to dense sandy soils…) , the design value of L/B ratio in the strengthening method should be in range of (2.0÷3.0), chosing beyond that optimal range is uneconomical since the improvement of bearing capacity is insignificant. In other words, the relationship between stress bulb in soil under the footing and the length of micropile should be taken into consideration to achieve a higher economic efficiency of the strengthening method.","PeriodicalId":170167,"journal":{"name":"Journal of Mining and Earth Sciences","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131803394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.46326/jmes.2022.63(5).09
Thanh Chi Nguyen, Thanh Van Nguyen, G. Alexandr
Currently, along with the economic development speed and the huge demand for activities and living in Vietnam, the demand for energy is becoming an urgent problem that needs to be solved. Among all types of energy, coal is one of the types of energy that occupies a large proportion of the energy industry in Vietnam. Therefore, it is necessary to develop mining technologies that can boost the efficiency and quality of coal. In the total annual coal production of Vinacomin, underground coal mining output accounts for a large proportion (60÷80%). At present, the design and construction units have applied many different construction methods to prevent and stabilize the mining tunnels in the Quang Ninh area. However, in some mining tunnels, are still occurred phenomenon of instability, excessive deformation and affecting the exploitation of these mining tunnels. The paper aims to synthesise, analyse and give a process of choosing suitable reinforcement methods that are suitable for mining tunnels in the Quang Ninh area. The paper also applies theoretical bases to selects an appropriate reinforcement method for a specific mining tunnel under construction in Khe Cham I mining area, Ha Long Coal Company, Vinamcomin.
{"title":"Research on suitable methods of soil and rock reinforcement to stabilize mining tunnels in the Quang Ninh area","authors":"Thanh Chi Nguyen, Thanh Van Nguyen, G. Alexandr","doi":"10.46326/jmes.2022.63(5).09","DOIUrl":"https://doi.org/10.46326/jmes.2022.63(5).09","url":null,"abstract":"Currently, along with the economic development speed and the huge demand for activities and living in Vietnam, the demand for energy is becoming an urgent problem that needs to be solved. Among all types of energy, coal is one of the types of energy that occupies a large proportion of the energy industry in Vietnam. Therefore, it is necessary to develop mining technologies that can boost the efficiency and quality of coal. In the total annual coal production of Vinacomin, underground coal mining output accounts for a large proportion (60÷80%). At present, the design and construction units have applied many different construction methods to prevent and stabilize the mining tunnels in the Quang Ninh area. However, in some mining tunnels, are still occurred phenomenon of instability, excessive deformation and affecting the exploitation of these mining tunnels. The paper aims to synthesise, analyse and give a process of choosing suitable reinforcement methods that are suitable for mining tunnels in the Quang Ninh area. The paper also applies theoretical bases to selects an appropriate reinforcement method for a specific mining tunnel under construction in Khe Cham I mining area, Ha Long Coal Company, Vinamcomin.","PeriodicalId":170167,"journal":{"name":"Journal of Mining and Earth Sciences","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125280550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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