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Prof. Dr. Jangwon Suh
Assistant Professor, Department of Energy and Mineral Resources Engineering, Kangwon National University, Samcheok 25913, Korea

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Research Keywords & Expertise

0 Geostatistics
0 Mine Reclamation
0 GIS for energy resources
0 Mine hazards
0 Geospatial predictive mapping

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Mine hazards
Mine Reclamation
Geospatial predictive mapping

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Review
Published: 02 March 2021 in Applied Sciences
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Smartphones and tablets can be effectively used in the solar photovoltaic (PV) energy field for different purposes because of their versatile capabilities incorporating hardware and software functionalities. These multifarious capabilities enable new approaches for measuring and visualizing data that are seldom available in conventional computing platforms. In this study, 100 accessible smartphone applications (apps) developed in the solar PV energy sector were investigated. The apps were categorized based on their main function as follows: computation of sun position, PV system optimal settings, PV site investigation, potential assessment of PV systems, environmental and economic assessment of PV systems, monitoring and control of PV systems, and education and learning for PV system. Each of these categories was further divided based on principal features or functions. Exemplary apps were chosen for each category and their characteristics and usefulness were investigated. Moreover, the apps for roof or rooftops and those that require built-in or external sensors were organized and analyzed according to their topic and functionality. Limitations regarding app implementation in solar PV and implications for future improvement as an alternative solar design tools were discussed. This study has significance in that it has first presented the current applicability and future perspectives of solar PV smartphone apps. Furthermore, they can be effectively used by the energy prosumers as an analysis tool for energy design due to evolving smartphone sensor technologies current opportunity factors.

ACS Style

Heejin Seo; Jangwon Suh. A Review of Smartphone Applications for Solar Photovoltaic Use: Current Status, Limitations, and Future Perspectives. Applied Sciences 2021, 11, 2178 .

AMA Style

Heejin Seo, Jangwon Suh. A Review of Smartphone Applications for Solar Photovoltaic Use: Current Status, Limitations, and Future Perspectives. Applied Sciences. 2021; 11 (5):2178.

Chicago/Turabian Style

Heejin Seo; Jangwon Suh. 2021. "A Review of Smartphone Applications for Solar Photovoltaic Use: Current Status, Limitations, and Future Perspectives." Applied Sciences 11, no. 5: 2178.

Review
Published: 05 November 2020 in Applied Sciences
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This article reviews numerous published studies on geographic information system (GIS)-based assessment and mapping of mining-induced subsidence. The various types of mine subsidence maps were first classified into susceptibility, hazard, and risk maps according to the various types of the engineering geology maps. Subsequently, the mapping studies were also reclassified into several groups according to the analytic methods used in the correlation derivation or elements of the risk of interest. Data uncertainty, analytic methods and techniques, and usability of the prediction map were considered in the discussion of the limitations and future perspectives of mining subsidence zonation studies. Because GIS can process geospatial data in relation to mining subsidence, the application and feasibility of exploiting GIS-assisted geospatial predictive mapping may be expanded further. GIS-based subsidence predictive maps are helpful for both engineers and for planners responsible for the design and implementation of risk mitigation and management strategies in mining areas.

ACS Style

Jangwon Suh. An Overview of GIS-Based Assessment and Mapping of Mining-Induced Subsidence. Applied Sciences 2020, 10, 7845 .

AMA Style

Jangwon Suh. An Overview of GIS-Based Assessment and Mapping of Mining-Induced Subsidence. Applied Sciences. 2020; 10 (21):7845.

Chicago/Turabian Style

Jangwon Suh. 2020. "An Overview of GIS-Based Assessment and Mapping of Mining-Induced Subsidence." Applied Sciences 10, no. 21: 7845.

Review
Published: 21 July 2020 in Applied Sciences
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In this study, applications of the Arduino platform in the mining industry were reviewed. Arduino, a representative and popular open-source hardware, can acquire information from various sensors, transmit data using communication technology, and control devices through actuators. The review was conducted by classifying previous studies into three types of Arduino applications: field monitoring systems, wearable systems, and autonomous systems. With regard to field monitoring systems, most studies in mines were classified as atmospheric or geotechnical monitoring. In wearable systems, the health status of the miner was an important consideration, in addition to the environmental conditions of the mine. Arduino can be a useful tool as an initial prototype for autonomous mine systems. Arduino has advantages in that it can be combined with various electronic products and is cost-effective. Therefore, although many studies have been conducted in the laboratory (as opposed to field tests), Arduino applications can be further expanded in the mining field in the future.

ACS Style

Sung-Min Kim; Yosoon Choi; Jangwon Suh. Applications of the Open-Source Hardware Arduino Platform in the Mining Industry: A Review. Applied Sciences 2020, 10, 5018 .

AMA Style

Sung-Min Kim, Yosoon Choi, Jangwon Suh. Applications of the Open-Source Hardware Arduino Platform in the Mining Industry: A Review. Applied Sciences. 2020; 10 (14):5018.

Chicago/Turabian Style

Sung-Min Kim; Yosoon Choi; Jangwon Suh. 2020. "Applications of the Open-Source Hardware Arduino Platform in the Mining Industry: A Review." Applied Sciences 10, no. 14: 5018.

Preprint content
Published: 09 March 2020
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An accurate estimation of electric power production (EPP) is a crucial first step to design a floating photovoltaics (PV) project. This study estimates the EPP of a floating PV system and validates the results by comparing with the actual EPP observed at the Hapcheon Dam, Korea. Typical meteorological year data and system design parameters were entered into System Advisor Model (SAM) software to estimate the hourly and monthly EPPs. Three-year average observed EPPs (2012, 2013, and 2015) were used as reference values for the validation. The results showed the seasonal EPPs were the highest in spring and the lowest in winter. The monthly estimated EPPs were lower than the monthly observed EPPs. These results are ascribed to the fact the SAM was unable to consider the natural cooling effect of the water environment on the PV module. The error results showed it was possible to estimate the monthly EPPs with an error of less than 15% simply by simulation. However, it may possible to estimate the monthly EPPs with an error of approximately 9% when considering empirical results: The floating PV efficiency was approximately 1.1 times (110%) the overland PV efficiency. This indicates that the approach of using empirical results can provide reliable monthly estimation of EPP in feasibility assessment stage of floating PV projects.

ACS Style

Jangwon Suh; Sungmin Kim; Yosoon Choi. Estimation and validation of electric power output from a fixed-type floating photovoltaic system. 2020, 1 .

AMA Style

Jangwon Suh, Sungmin Kim, Yosoon Choi. Estimation and validation of electric power output from a fixed-type floating photovoltaic system. . 2020; ():1.

Chicago/Turabian Style

Jangwon Suh; Sungmin Kim; Yosoon Choi. 2020. "Estimation and validation of electric power output from a fixed-type floating photovoltaic system." , no. : 1.

Journal article
Published: 30 December 2019 in Sustainability
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An interest in floating photovoltaic (PV) is growing drastically worldwide. To evaluate the feasibility of floating PV projects, an accurate estimation of electric power output (EPO) is a crucial first step. This study estimates the EPO of a floating PV system and compares it with the actual EPO observed at the Hapcheon Dam, Korea. Typical meteorological year data and system design parameters were entered into System Advisor Model (SAM) software to estimate the hourly and monthly EPOs. The monthly estimated EPOs were lower than the monthly observed EPOs. This result is ascribed to the cooling effect of the water environment on the floating PV module, which makes the floating PV efficiency higher than overland PV efficiency. Unfortunately, most commercial PV software, including the SAM, was unable to consider this effect in estimating EPO. The error results showed it was possible to estimate the monthly EPOs with an error of less than 15% (simply by simulation) and 9% (when considering the cooling effect: 110% of the estimated monthly EPOs). This indicates that the approach of using empirical results can provide more reliable estimation of EPO in the feasibility assessment stage of floating PV projects. Furthermore, it is necessary to develop simulation software dedicated to the floating PV system.

ACS Style

Jangwon Suh; Yonghae Jang; Yosoon Choi. Comparison of Electric Power Output Observed and Estimated from Floating Photovoltaic Systems: A Case Study on the Hapcheon Dam, Korea. Sustainability 2019, 12, 276 .

AMA Style

Jangwon Suh, Yonghae Jang, Yosoon Choi. Comparison of Electric Power Output Observed and Estimated from Floating Photovoltaic Systems: A Case Study on the Hapcheon Dam, Korea. Sustainability. 2019; 12 (1):276.

Chicago/Turabian Style

Jangwon Suh; Yonghae Jang; Yosoon Choi. 2019. "Comparison of Electric Power Output Observed and Estimated from Floating Photovoltaic Systems: A Case Study on the Hapcheon Dam, Korea." Sustainability 12, no. 1: 276.

Journal article
Published: 01 October 2019 in Journal of the Korean Society of Mineral and Energy Resources Engineers
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ACS Style

Jangwon Suh. Utilization of Augmented and Virtual Reality Technologies in Geoscience and Mining. Journal of the Korean Society of Mineral and Energy Resources Engineers 2019, 56, 468 -479.

AMA Style

Jangwon Suh. Utilization of Augmented and Virtual Reality Technologies in Geoscience and Mining. Journal of the Korean Society of Mineral and Energy Resources Engineers. 2019; 56 (5):468-479.

Chicago/Turabian Style

Jangwon Suh. 2019. "Utilization of Augmented and Virtual Reality Technologies in Geoscience and Mining." Journal of the Korean Society of Mineral and Energy Resources Engineers 56, no. 5: 468-479.

Review
Published: 13 May 2019 in Applied Sciences
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In this study, geographic information system (GIS)-based methods and their applications in solar power system planning and design were reviewed. Three types of GIS-based studies, including those on solar radiation mapping, site evaluation, and potential assessment, were considered to elucidate the role of GISs as problem-solving tools in relation to photovoltaic and concentrated solar power systems for the conversion of solar energy into electricity. The review was performed by classifying previous GIS-based studies into several subtopics according to the complexity of the employed GIS-based methods, the type of solar power conversion technology, or the scale of the study area. Because GISs are appropriate for handling geospatial data related to solar resource and site suitability conditions on various scales, the applications of GIS-based methods in solar power system planning and design could be expanded further.

ACS Style

Yosoon Choi; Jangwon Suh; Sung-Min Kim. GIS-Based Solar Radiation Mapping, Site Evaluation, and Potential Assessment: A Review. Applied Sciences 2019, 9, 1960 .

AMA Style

Yosoon Choi, Jangwon Suh, Sung-Min Kim. GIS-Based Solar Radiation Mapping, Site Evaluation, and Potential Assessment: A Review. Applied Sciences. 2019; 9 (9):1960.

Chicago/Turabian Style

Yosoon Choi; Jangwon Suh; Sung-Min Kim. 2019. "GIS-Based Solar Radiation Mapping, Site Evaluation, and Potential Assessment: A Review." Applied Sciences 9, no. 9: 1960.

Journal article
Published: 01 December 2018 in Journal of the Korean Society of Mineral and Energy Resources Engineers
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ACS Style

Jieun Baek; Jangwon Suh; Yosoon Choi. Analysis of Received Signal Strength Index from Bluetooth Beacons to Develop Proximity Warning Systems for Underground Mines. Journal of the Korean Society of Mineral and Energy Resources Engineers 2018, 55, 604 -613.

AMA Style

Jieun Baek, Jangwon Suh, Yosoon Choi. Analysis of Received Signal Strength Index from Bluetooth Beacons to Develop Proximity Warning Systems for Underground Mines. Journal of the Korean Society of Mineral and Energy Resources Engineers. 2018; 55 (6):604-613.

Chicago/Turabian Style

Jieun Baek; Jangwon Suh; Yosoon Choi. 2018. "Analysis of Received Signal Strength Index from Bluetooth Beacons to Develop Proximity Warning Systems for Underground Mines." Journal of the Korean Society of Mineral and Energy Resources Engineers 55, no. 6: 604-613.

Review
Published: 23 April 2018 in Earth Science Informatics
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Smartphones can be utilized in the field of geosciences for various purposes due to their multifaceted abilities that combine both hard- and software features. The unique abilities of smartphones allow new methodologies for the collection and visualization of data that rarely become available in traditional computing platforms. In this study, commercially available smartphone applications (apps) that have been released in geoscience (e.g., geology/soil, minerals and rocks, petroleum and gas) so far were investigated. The apps were categorized based on the extent of smartphone feature usage into (a) basic, standard-feature apps; (b) calculator and referencing apps; and (c) sensing and communication apps. Furthermore, each of these categories was divided into several app groups based on specific features. Representative apps of each specific app group were selected and their characteristics and applicability were examined. Lastly, major limitations regarding smartphone app development and implementation in geoscience and implications for future improvements were discussed.

ACS Style

Sangho Lee; Jangwon Suh; Yosoon Choi. Review of smartphone applications for geoscience: current status, limitations, and future perspectives. Earth Science Informatics 2018, 11, 463 -486.

AMA Style

Sangho Lee, Jangwon Suh, Yosoon Choi. Review of smartphone applications for geoscience: current status, limitations, and future perspectives. Earth Science Informatics. 2018; 11 (4):463-486.

Chicago/Turabian Style

Sangho Lee; Jangwon Suh; Yosoon Choi. 2018. "Review of smartphone applications for geoscience: current status, limitations, and future perspectives." Earth Science Informatics 11, no. 4: 463-486.

Review
Published: 27 November 2017 in International Journal of Environmental Research and Public Health
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In this study, current geographic information system (GIS)-based methods and their application for the modeling and assessment of mining-induced hazards were reviewed. Various types of mining-induced hazard, including soil contamination, soil erosion, water pollution, and deforestation were considered in the discussion of the strength and role of GIS as a viable problem-solving tool in relation to mining-induced hazards. The various types of mining-induced hazard were classified into two or three subtopics according to the steps involved in the reclamation procedure, or elements of the hazard of interest. Because GIS is appropriated for the handling of geospatial data in relation to mining-induced hazards, the application and feasibility of exploiting GIS-based modeling and assessment of mining-induced hazards within the mining industry could be expanded further.

ACS Style

Jangwon Suh; Sung-Min Kim; Huiuk Yi; Yosoon Choi. An Overview of GIS-Based Modeling and Assessment of Mining-Induced Hazards: Soil, Water, and Forest. International Journal of Environmental Research and Public Health 2017, 14, 1463 .

AMA Style

Jangwon Suh, Sung-Min Kim, Huiuk Yi, Yosoon Choi. An Overview of GIS-Based Modeling and Assessment of Mining-Induced Hazards: Soil, Water, and Forest. International Journal of Environmental Research and Public Health. 2017; 14 (12):1463.

Chicago/Turabian Style

Jangwon Suh; Sung-Min Kim; Huiuk Yi; Yosoon Choi. 2017. "An Overview of GIS-Based Modeling and Assessment of Mining-Induced Hazards: Soil, Water, and Forest." International Journal of Environmental Research and Public Health 14, no. 12: 1463.

Journal article
Published: 21 November 2017 in Minerals
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A Bluetooth beacon-based underground navigation system (BBUNS) was developed to identify the optimal haul road in an underground mine, track the locations of dump trucks, and display this information on mobile devices. A three-dimensional (3-D) geographic information system (GIS) database of the haul roads in an underground mine was constructed, and the travel time for each section was calculated. A GIS database was also constructed for 50 Bluetooth beacons that were installed along the haul roads. An Android-based BBUNS application was developed to visualize the current location of each dump truck and the optimal haul road to the destination on mobile devices, using the Bluetooth beacon system that was installed in the underground mine. Whenever the BBUNS recognized all of the Bluetooth beacons installed in the underground mine, it could provide the dump truck drivers with information on the current location and the two-dimensional (2-D) and 3-D haul road properties. The operating time of each dump truck and the time spent on each unit task could be analyzed using recorded data on the times when Bluetooth beacon signals were recognized by the BBUNS. The underground mine navigation system that was developed in this study can contribute to the improvement of haul operation efficiency and productivity.

ACS Style

Jieun Baek; Yosoon Choi; Chaeyoung Lee; Jangwon Suh; Sangho Lee. BBUNS: Bluetooth Beacon-Based Underground Navigation System to Support Mine Haulage Operations. Minerals 2017, 7, 228 .

AMA Style

Jieun Baek, Yosoon Choi, Chaeyoung Lee, Jangwon Suh, Sangho Lee. BBUNS: Bluetooth Beacon-Based Underground Navigation System to Support Mine Haulage Operations. Minerals. 2017; 7 (11):228.

Chicago/Turabian Style

Jieun Baek; Yosoon Choi; Chaeyoung Lee; Jangwon Suh; Sangho Lee. 2017. "BBUNS: Bluetooth Beacon-Based Underground Navigation System to Support Mine Haulage Operations." Minerals 7, no. 11: 228.

Journal article
Published: 18 October 2017 in Minerals
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Conventional mine site investigation has difficulties in fostering location awareness and understanding the subsurface environment; moreover, it produces a large amount of hardcopy data. To overcome these limitations, the UMineAR mobile tablet application was developed. It enables users to rapidly identify underground mine objects (drifts, entrances, boreholes, hazards) and intuitively visualize them in 3D using a mobile augmented reality (AR) technique. To design UMineAR, South Korean georeferenced standard-mine geographic information system (GIS) databases were employed. A web database system was designed to access via a tablet groundwater-level data measured every hour by sensors installed in boreholes. UMineAR consists of search, AR, map, and database modules. The search module provides data retrieval and visualization options/functions. The AR module provides 3D interactive visualization of mine GIS data and camera imagery on the tablet screen. The map module shows the locations of corresponding borehole data on a 2D map. The database module provides mine GIS database management functions. A case study showed that the proposed application is suitable for onsite visualization of high-volume mine GIS data based on geolocations; no specialized equipment or skills are required to understand the underground mine environment. UMineAR can be used to support abandoned-mine hazard site investigations.

ACS Style

Jangwon Suh; Sangho Lee; Yosoon Choi. UMineAR: Mobile-Tablet-Based Abandoned Mine Hazard Site Investigation Support System Using Augmented Reality. Minerals 2017, 7, 198 .

AMA Style

Jangwon Suh, Sangho Lee, Yosoon Choi. UMineAR: Mobile-Tablet-Based Abandoned Mine Hazard Site Investigation Support System Using Augmented Reality. Minerals. 2017; 7 (10):198.

Chicago/Turabian Style

Jangwon Suh; Sangho Lee; Yosoon Choi. 2017. "UMineAR: Mobile-Tablet-Based Abandoned Mine Hazard Site Investigation Support System Using Augmented Reality." Minerals 7, no. 10: 198.

Journal article
Published: 15 July 2017 in Sustainability
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Hourly irradiance values are essential data to reasonably estimate the electric power production (EPP) from a photovoltaic (PV) system. Worldwide monthly irradiance data are available from meteorological observation satellites; however, adequate hourly data are not widely available in developing countries or rural areas where PV systems are needed most. Aiming to supply such data, this study compared three different methods (i.e., sunshine hours mean, the SOLPOS algorithm, and the Duffie and Beckman algorithm) to convert the monthly accumulated irradiance data into hourly irradiance data. The monthly accumulated irradiance data at 11 sites in the United States and Korea, acquired from the National Renewable Energy Laboratory, were converted into hourly irradiance data by employing the three methods. The converted hourly data were entered into the System Advisor Model to estimate the monthly total EPP values (henceforth, EPPs) from the PV systems. Each estimated EPP value was compared with those analyzed from the measured hourly data (regarded as the reference values in this study). After considering the errors between the EPPs estimated from the converted hourly irradiance data and measured using the hourly irradiance data, the simulation results with identical PV capacities indicated that the SOLPOS algorithm was the most appropriate conversion method.

ACS Style

Jangwon Suh; Yosoon Choi. Methods for Converting Monthly Total Irradiance Data into Hourly Data to Estimate Electric Power Production from Photovoltaic Systems: A Comparative Study. Sustainability 2017, 9, 1234 .

AMA Style

Jangwon Suh, Yosoon Choi. Methods for Converting Monthly Total Irradiance Data into Hourly Data to Estimate Electric Power Production from Photovoltaic Systems: A Comparative Study. Sustainability. 2017; 9 (7):1234.

Chicago/Turabian Style

Jangwon Suh; Yosoon Choi. 2017. "Methods for Converting Monthly Total Irradiance Data into Hourly Data to Estimate Electric Power Production from Photovoltaic Systems: A Comparative Study." Sustainability 9, no. 7: 1234.

Original article
Published: 10 February 2017 in Environmental Earth Sciences
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Accurate subsidence inventory data, based on an understanding of local topography, are a crucial first step toward reliable subsidence prediction and mapping future subsidence hazards. However, conventional, human-based methods of surveying and mapping subsidence suffer from data omissions and errors due to problems regarding accessibility, safety, and manual digitization. This study employed unmanned aerial vehicle photogrammetry to compile an accurate subsidence inventory map of abandoned mine areas. A Phantom 2 Vision+ drone was used, which is inexpensive yet appropriate for detailed topographic surveying of small-sized mine sites with a history of subsidence. An autonomous flight plan was designed, taking into account the extent of target mapping areas. A series of 29 aerial photographs were obtained within 2 min; digitally georeferenced orthoimage and digital terrain model (DTM) with 5 cm resolution could be obtained by processing with coordinate information of pre-installed ground control points (GCPs) within 30 min. sinkhole-type subsidence, including locational information, was identified from the geocoded high-resolution orthoimage and the DTM, and its area and volume were calculated to be 427 m2 and 2323 m3 (length 25 m, width 23 m, depth 9.1 m), respectively, from its modeled shape. Contour lines (10 cm interval), slope, and curvature were produced using the DTM. Validation using the GCP locations showed an error of approximately 14 cm in the generated DTM, which was considered acceptable for subsidence mapping purposes. The proposed approach enables accurate, rapid, low-cost, and safe surveying and mapping, which complements conventional surveying methods at sites of mining subsidence.

ACS Style

Jangwon Suh; Yosoon Choi. Mapping hazardous mining-induced sinkhole subsidence using unmanned aerial vehicle (drone) photogrammetry. Environmental Earth Sciences 2017, 76, 144 .

AMA Style

Jangwon Suh, Yosoon Choi. Mapping hazardous mining-induced sinkhole subsidence using unmanned aerial vehicle (drone) photogrammetry. Environmental Earth Sciences. 2017; 76 (4):144.

Chicago/Turabian Style

Jangwon Suh; Yosoon Choi. 2017. "Mapping hazardous mining-induced sinkhole subsidence using unmanned aerial vehicle (drone) photogrammetry." Environmental Earth Sciences 76, no. 4: 144.

Journal article
Published: 01 December 2016 in International Journal of Environmental Research and Public Health
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The use of portable X-ray fluorescence (PXRF) and inductively coupled plasma atomic emission spectrometry (ICP-AES) increases the rapidity and accuracy of soil contamination mapping, respectively. In practice, it is often necessary to repeat the soil contamination assessment and mapping procedure several times during soil management within a limited budget. In this study, we have developed a rapid, inexpensive, and accurate soil contamination mapping method using a PXRF data and geostatistical spatial interpolation. To obtain a large quantity of high quality data for interpolation, in situ PXRF data analyzed at 40 points were transformed to converted PXRF data using the correlation between PXRF and ICP-AES data. The method was applied to an abandoned mine site in Korea to generate a soil contamination map for copper and was validated for investigation speed and prediction accuracy. As a result, regions that required soil remediation were identified. Our method significantly shortened the time required for mapping compared to the conventional mapping method and provided copper concentration estimates with high accuracy similar to those measured by ICP-AES. Therefore, our method is an effective way of mapping soil contamination if we consistently construct a database based on the correlation between PXRF and ICP-AES data.

ACS Style

Jangwon Suh; Hyeongyu Lee; Yosoon Choi. A Rapid, Accurate, and Efficient Method to Map Heavy Metal-Contaminated Soils of Abandoned Mine Sites Using Converted Portable XRF Data and GIS. International Journal of Environmental Research and Public Health 2016, 13, 1191 .

AMA Style

Jangwon Suh, Hyeongyu Lee, Yosoon Choi. A Rapid, Accurate, and Efficient Method to Map Heavy Metal-Contaminated Soils of Abandoned Mine Sites Using Converted Portable XRF Data and GIS. International Journal of Environmental Research and Public Health. 2016; 13 (12):1191.

Chicago/Turabian Style

Jangwon Suh; Hyeongyu Lee; Yosoon Choi. 2016. "A Rapid, Accurate, and Efficient Method to Map Heavy Metal-Contaminated Soils of Abandoned Mine Sites Using Converted Portable XRF Data and GIS." International Journal of Environmental Research and Public Health 13, no. 12: 1191.

Journal article
Published: 17 August 2016 in Energies
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Solar farm suitability in remote areas will involve a multi-criteria evaluation (MCE) process, particularly well suited for the geographic information system (GIS) environment. Photovoltaic (PV) solar farm criteria were evaluated for an island-based case region having complex topographic and regulatory criteria, along with high demand for low-carbon local electricity production: Ulleung Island, Korea. Constraint variables that identified areas forbidden to PV farm development were consolidated into a single binary constraint layer (e.g., environmental regulation, ecological protection, future land use). Six factor variables were selected as influential on-site suitability within the geospatial database to seek out increased annual average power performance and reduced potential investment costs, forming new criteria layers for site suitability: solar irradiation, sunshine hours, average temperature in summer, proximity to transmission line, proximity to roads, and slope. Each factor variable was normalized via a fuzzy membership function (FMF) and parameter setting based on the local characteristics and criteria for a fixed axis PV system. Representative weighting of the relative importance for each factor variable was assigned via pairwise comparison completed by experts. A suitability index (SI) with six factor variables was derived using a weighted fuzzy summation method. Sensitivity analysis was conducted to assess four different SI based on the development scenarios (i.e., the combination of factors being considered). From the resulting map, three highly suitable regions were suggested and validated by comparison with satellite images to confirm the candidate sites for solar farm development. The GIS-MCE method proposed can also be applicable widely to other PV solar farm site selection projects with appropriate adaption for local variables.

ACS Style

Jangwon Suh; Jeffrey R. S. Brownson. Solar Farm Suitability Using Geographic Information System Fuzzy Sets and Analytic Hierarchy Processes: Case Study of Ulleung Island, Korea. Energies 2016, 9, 648 .

AMA Style

Jangwon Suh, Jeffrey R. S. Brownson. Solar Farm Suitability Using Geographic Information System Fuzzy Sets and Analytic Hierarchy Processes: Case Study of Ulleung Island, Korea. Energies. 2016; 9 (8):648.

Chicago/Turabian Style

Jangwon Suh; Jeffrey R. S. Brownson. 2016. "Solar Farm Suitability Using Geographic Information System Fuzzy Sets and Analytic Hierarchy Processes: Case Study of Ulleung Island, Korea." Energies 9, no. 8: 648.

Original article
Published: 13 May 2016 in Environmental Earth Sciences
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This paper presents a case study of subsidence hazard mapping in the vicinity of an abandoned coal mine within geographic information system (GIS) environment. A geospatial database was constructed using mine drift maps, topographic maps, land use maps, road maps, building maps, borehole data, and subsidence inventory maps showing occurrences of past subsidence events. Six raster-type factor layers (i.e., an influential area instability (IAI) layer calculated using multiple mine drifts and estimated mined panels, land use, distance from nearest railroad, distance from nearest road, and slope gradient) were generated and extracted from the database to identify relationships between past subsidence occurrences and the factors. Two IAI factors incorporate the complex effects of ground IAI and are calculated using the depths of each underground cavity and its angle of draw. A weight of evidence model was used to establish optimal correlations, expressed as contrast values (CVs) for subsidence inventory data, and inputs of all factors. Six CV layers (one for each factor) were linearly combined to generate a subsidence hazard map representing the relative vulnerability to subsidence in the study area. The area under the cumulative frequency diagram technique was then used to verify predicted subsidence hazards by comparing estimated susceptibility rankings over the entire range of grid cells with actual subsidence occurrences; the proposed GIS analysis model showed an accuracy of 91.09 % in the prediction of subsidence occurrences. Moreover, field surveys showed buildings with severe subsidence-related damage (damage level 4 or 5, according to the National Coal Board) in regions with very high subsidence hazard indices. Finally, a factor negatively correlated with subsidence prediction (slope angle) was determined from the sensitivity analysis.

ACS Style

Jangwon Suh; Yosoon Choi; Hyeong-Dong Park. GIS-based evaluation of mining-induced subsidence susceptibility considering 3D multiple mine drifts and estimated mined panels. Environmental Earth Sciences 2016, 75, 890 .

AMA Style

Jangwon Suh, Yosoon Choi, Hyeong-Dong Park. GIS-based evaluation of mining-induced subsidence susceptibility considering 3D multiple mine drifts and estimated mined panels. Environmental Earth Sciences. 2016; 75 (10):890.

Chicago/Turabian Style

Jangwon Suh; Yosoon Choi; Hyeong-Dong Park. 2016. "GIS-based evaluation of mining-induced subsidence susceptibility considering 3D multiple mine drifts and estimated mined panels." Environmental Earth Sciences 75, no. 10: 890.

Comparative study
Published: 30 March 2016 in International Journal of Environmental Research and Public Health
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Understanding spatial variation of potentially toxic trace elements (PTEs) in soil is necessary to identify the proper measures for preventing soil contamination at both operating and abandoned mining areas. Many studies have been conducted worldwide to explore the spatial variation of PTEs and to create soil contamination maps using geostatistical methods. However, they generally depend only on inductively coupled plasma atomic emission spectrometry (ICP–AES) analysis data, therefore such studies are limited by insufficient input data owing to the disadvantages of ICP–AES analysis such as its costly operation and lengthy period required for analysis. To overcome this limitation, this study used both ICP–AES and portable X-ray fluorescence (PXRF) analysis data, with relatively low accuracy, for mapping copper and lead concentrations at a section of the Busan abandoned mine in Korea and compared the prediction performances of four different approaches: the application of ordinary kriging to ICP–AES analysis data, PXRF analysis data, both ICP–AES and transformed PXRF analysis data by considering the correlation between the ICP–AES and PXRF analysis data, and co-kriging to both the ICP–AES (primary variable) and PXRF analysis data (secondary variable). Their results were compared using an independent validation data set. The results obtained in this case study showed that the application of ordinary kriging to both ICP–AES and transformed PXRF analysis data is the most accurate approach when considers the spatial distribution of copper and lead contaminants in the soil and the estimation errors at 11 sampling points for validation. Therefore, when generating soil contamination maps for an abandoned mine, it is beneficial to use the proposed approach that incorporates the advantageous aspects of both ICP–AES and PXRF analysis data.

ACS Style

Hyeongyu Lee; Yosoon Choi; Jangwon Suh; Seung-Ho Lee. Mapping Copper and Lead Concentrations at Abandoned Mine Areas Using Element Analysis Data from ICP–AES and Portable XRF Instruments: A Comparative Study. International Journal of Environmental Research and Public Health 2016, 13, 384 .

AMA Style

Hyeongyu Lee, Yosoon Choi, Jangwon Suh, Seung-Ho Lee. Mapping Copper and Lead Concentrations at Abandoned Mine Areas Using Element Analysis Data from ICP–AES and Portable XRF Instruments: A Comparative Study. International Journal of Environmental Research and Public Health. 2016; 13 (4):384.

Chicago/Turabian Style

Hyeongyu Lee; Yosoon Choi; Jangwon Suh; Seung-Ho Lee. 2016. "Mapping Copper and Lead Concentrations at Abandoned Mine Areas Using Element Analysis Data from ICP–AES and Portable XRF Instruments: A Comparative Study." International Journal of Environmental Research and Public Health 13, no. 4: 384.

Journal article
Published: 23 February 2016 in Environmental Earth Sciences
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This paper presents a new index, the Total Mine Hazards Index (TMHI), which has been developed to support reclamation planning in abandoned mining areas in Korea. The TMHI quantifies the extent of the hazards caused by mining in terms of five problem areas: (a) mine subsidence, (b) deforestation, (c) mine tailings, (d) waste rock dumps, and (e) mine water. These five mining hazards are statistically analyzed and the results are combined with Geographic Information Systems (GIS) modeling to prioritize the abandoned mines that pose the greatest hazard risk. A GIS database of mine-related information, including topographic data, land cover data, and road maps, is analyzed and used to evaluate the likely extent of mine-related pollution. As a case study, the TMHI is applied to Gangwon-do province in Korea, and the results show that the TMHI can be used to identify those mines most in need of attention and support mine reclamation planning by comprehensively quantifying the nature and extent of any hazards associated with abandoned mines.

ACS Style

Sung-Min Kim; Jangwon Suh; Sungchan Oh; Jin Son; Chang-Uk Hyun; Hyeong-Dong Park; Seung-Han Shin; Yosoon Choi. Assessing and prioritizing environmental hazards associated with abandoned mines in Gangwon-do, South Korea: the Total Mine Hazards Index. Environmental Earth Sciences 2016, 75, 1 -14.

AMA Style

Sung-Min Kim, Jangwon Suh, Sungchan Oh, Jin Son, Chang-Uk Hyun, Hyeong-Dong Park, Seung-Han Shin, Yosoon Choi. Assessing and prioritizing environmental hazards associated with abandoned mines in Gangwon-do, South Korea: the Total Mine Hazards Index. Environmental Earth Sciences. 2016; 75 (5):1-14.

Chicago/Turabian Style

Sung-Min Kim; Jangwon Suh; Sungchan Oh; Jin Son; Chang-Uk Hyun; Hyeong-Dong Park; Seung-Han Shin; Yosoon Choi. 2016. "Assessing and prioritizing environmental hazards associated with abandoned mines in Gangwon-do, South Korea: the Total Mine Hazards Index." Environmental Earth Sciences 75, no. 5: 1-14.

Journal article
Published: 01 December 2015 in Journal of the Korean Society of Mineral and Energy Resources Engineers
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ACS Style

Jin Son; Jangwon Suh; Huiuk Yi; Hyeong-Dong Park; Seungho Lee. GIS-based Subsidence Hazard Analysis on Abandoned Coal Mine Sites Combining the Frequency Ratio and Radius of Influence. Journal of the Korean Society of Mineral and Energy Resources Engineers 2015, 52, 567 -576.

AMA Style

Jin Son, Jangwon Suh, Huiuk Yi, Hyeong-Dong Park, Seungho Lee. GIS-based Subsidence Hazard Analysis on Abandoned Coal Mine Sites Combining the Frequency Ratio and Radius of Influence. Journal of the Korean Society of Mineral and Energy Resources Engineers. 2015; 52 (6):567-576.

Chicago/Turabian Style

Jin Son; Jangwon Suh; Huiuk Yi; Hyeong-Dong Park; Seungho Lee. 2015. "GIS-based Subsidence Hazard Analysis on Abandoned Coal Mine Sites Combining the Frequency Ratio and Radius of Influence." Journal of the Korean Society of Mineral and Energy Resources Engineers 52, no. 6: 567-576.