• Journal of environmental and Sanitary engineering
• /
• v.18 no.4
• /
• pp.15-23
• /
• 2003

The purpose of this study is to construct e-Nonsan, a user friendly river quality management information system for Nonsan-si basin using GIS (geographical information system) technology. GIS was ideally suited featuring a geographical characteristics(e.g., industries, cattle sheds) and very effectively used in mapping and symbolization for the distribution of the spatial/periodic status(e.g., pie or column chart) of the point/non-point pollutant source loads which can be effectively applied to a information system on the web-site. And a user interface, GUI(graphic user interface) was designed very diversely and simply enabled the and non environmental experts connect with the system and obtain a useful information of river quality. e-Nonsan, a visual mapping system for river quality was developed by reframing the monitoring data as graphic symbols and it was ideally suited to exploring area-wide river quality at a user-friendly manner due to extensibility and scalability along the various survey points. Eventually the final step of this study was to construct e-Nonsan based on Web-GIS could be assessed anywhere if internet service is available and offer a very useful information services of the river quality to the publics.

• Proceedings of the KSRS Conference
• /
• 2007.03a
• /
• pp.113-119
• /
• 2007

This article deals mainly with two objectives viz, 1) the potentiality of very high-resolution(VHR) multi-spectral and pan chromatic QuickBird satellite data in resources mapping over moderate resolution satellite data (IRS LISS III) and 2) the advantages of using object oriented classification method of eCognition software in land use and land cover analysis over the ISODATA classification method. These VHR data offers widely acceptable metric characteristics for cartographic updating and increase our ability to map land use in geometric detail and improve accuracy of local scale investigations. This study has been carried out in the Sukkalampatti mini-watershed, which is situated in the Eastern Ghats of Tamil Nadu, India. The eCognition object oriented classification method succeeded in most cases to achieve a high percentage of right land cover class assignment and it showed better results than the ISODATA pixel based one, as far as the discrimination of land cover classes and boundary depiction is concerned.

• The Journal of Korea Robotics Society
• /
• v.12 no.4
• /
• pp.385-394
• /
• 2017

Side scanning sonar (SSS) provides valuable information for robot navigation. However using the side scanning sonar images in the navigation was not fully studied. In this paper, we use range data, and side scanning sonar images from UnderWater Simulator (UWSim) and propose measurement models in a feature based simultaneous localization and mapping (SLAM) framework. The range data is obtained by echosounder and sidescanning sonar images from side scan sonar module for UWSim. For the feature, we used the A-KAZE feature for the SSS image matching and adjusting the relative robot pose by SSS bundle adjustment (BA) with Ceres solver. We use BA for the loop closure constraint of pose-graph SLAM. We used the Incremental Smoothing and Mapping (iSAM) to optimize the graph. The optimized trajectory was compared against the dead reckoning (DR).

• Journal of Korean Society on Water Environment
• /
• v.24 no.1
• /
• pp.129-134
• /
• 2008

Ultrasonic cavitational energy distributions were measured in a large-scale sonoreator. In application of 110 and 170 kHz of ultrasound, the cavitational energy was just detected near the transducer module. However 35 and 72 kHz ultrasound made good distributions from the module to the end of the sonoreactor, Especially, 72 kHz ultrasound application showed most stable and highest cavitational energy value through the whole length. In the comparison between input power and cavitational energy, linear relationships were obtained in 35 and 72 kHz and it was anticipated that these results would be used for the optimization of input power for the design of sonoreactors. And three dimensional energy distribution was depicted through the mapping of cavitaional energy. Average energy in the large-scale sonoreactor was estimated as 62.8 W, which was about 40 % of input power.

• Smart Structures and Systems
• /
• v.15 no.3
• /
• pp.645-663
• /
• 2015

Recently, an indirect displacement estimation method using data fusion of acceleration and strain (i.e., acceleration-strain-based method) has been developed. Though the method showed good performance on beam-like structures, it has inherent limitation in applying to more general types of bridges that may have complex shapes, because it uses assumed analytical (sinusoidal) mode shapes to map the measured strain into displacement. This paper proposes an improved displacement estimation method that can be applied to more general types of bridges by building the mapping using the finite element model of the structure rather than using the assumed sinusoidal mode shapes. The performance of the proposed method is evaluated by numerical simulations on a deck arch bridge model and a three-span truss bridge model whose mode shapes are difficult to express as analytical functions. The displacements are estimated by acceleration-based method, strain-based method, acceleration-strain-based method, and the improved method. Then the results are compared with the exact displacement. An experimental validation is also carried out on a prestressed concrete girder bridge. The proposed method is found to provide the best estimate for dynamic displacements in the comparison, showing good agreement with the measurements as well.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.29 no.6
• /
• pp.27-36
• /
• 2002

The objective of this study is to improve the quality of the atmospheric environment by incorporating the factors of meteorology and urban climate into the field of urban and environmental planning. To this end, we have conducted a study on CLIMATOP and the mapping of urban climate, which are basic data used to analyze changes in climatic factors and the stagnation and accumulation of air pollutants. In particular, we focused on understanding the formation and movement of cold fresh air and its influx into urban areas by measuring and analyzing climatic factors. As a study result, classification criteria far CLIMATOP and a urban climatic map were made. In addition, we analyzed a digital elevation model, climatic data, and isothermal curves. As a result, we identified the corridor through which cold fresh air moves. We also observed that the temperature of the fluxed cold fresh air increased as land use changed. When the results of this study are applied to urban re-development and re-building projects, which require preliminary environmental assessment and environmental impact assessment, the practice proposed by this study is expected to contribute to the natural purification of air pollution activating the movement of cold fresh air and its influx into urban areas.

• Korean Journal of Remote Sensing
• /
• v.24 no.6
• /
• pp.621-629
• /
• 2008

This study was carried out in part of Tamil Nadu, India. Also, Landsat ETM+ image and field sampling data were acquired. The field data were basal area, number of trees and number of species. Using the data set, this study performed a three steps processing, (1) Image classification (2) extracting the vegetation indices(NDVI, Tasseled cap brightness, greenness and wetness) (3) mapping the prediction of biodiversity distribution using basal area and NDVI image value. Basal area was significantly correlated with NDVI. The result of classification showed 69% overall accuracy.

• Journal of Environmental Science International
• /
• v.30 no.1
• /
• pp.19-28
• /
• 2021

To reduce pollution, decrease the production of carbon dioxide, and to maintain a secure supply of energy, interest continues to grow in the area of renewable energy especially since there is a finite supply of cheap oil. Wind energy is one of the most viable options to consider and supply part of the energy needed to reduce dependence on foreign oil. However, it is difficult to predict the wind speed in an environment with many obstacles such as buildings and trees and getting accurate dimensions of those obstacles is difficult particularly on sloped mountainous terrain. In this study a drone was used to create a 3-D map of the campus of the Catholic University of Pusan. The dimensions and elevations for the 3-D map were used to make a model of the school campus in the CFD program Envi-met. Simulations were run for five different wind directions and 4 different elevations to find the location that would give the highest electrical output for a wind turbine. When considering all of these variables it was found that the optimal location was above the Student Union which had a 40% higher wind speed and could produce 274% more electrical power than the original wind speed.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.31 no.4
• /
• pp.25-38
• /
• 2003

The main problems of disordered and congested urban landscape are due to the lack of holistic management that can control various elements of forming a city. Especially, the color of urban landscape is problematic because it is related to individual and social characteristics as well as to physical characteristics. Therefore, temporary expedients that can solve only visualized problems can not be a proper solution for color problems of urban landscape. This study originated from the question about why the color of disordered and congested urban landscape has not been improved. This study aims at directly improving the urban environmental color by finding out what the actual problems related to color are, and what the solutions would be. The goal of this study is to find a holistic systematic problem-solving method. Problems of urban environmental color are identified from both literature review and questionnaires to the expert group, such as environmental planning, design group, and the landscape executive group. Through mapping of relationships among these problems, the intellectual map was made to layout the structures of problems. Based on this method, the structures of problems of urban environmental color were classified into 5 categories: 1) the items related to the administrative structure, 2) the items related to the color management goal and system, 3) the items related to the color planning and design phase, 4) the items related to the color consulting committee, and 5) the items related to the present state of color use. Thus, in order to solve the color problem in urban landscape, practical strategy is strongly required. It is not a temporary expedient but a holistic approach. The solution for the problems of urban environmental color could be divided into 6 types; ‘regulations amendment’,‘color standard amendment’,‘color management plan’,‘color education’, and ‘advertisement for the goal of color management’. Regulations amendment among these types was proposed as the most effective method due to the close relationship with problem categories. Thus, as the solution for the problems of urban environmental color, the ‘color management system’ was suggested. Detailed contents the suggested color management system were divided into three parts; 1) legislation by regulations, ordinance and acts, 2) management by controling the level of guidelines, and 3) the standards for execution of this system.

• Journal of Environmental Impact Assessment
• /
• v.27 no.5
• /
• pp.447-474
• /
• 2018

The purpose of this study is to build a new dataset of spatially interpolated climate data of South Korea by performing various geo-statistical interpolation techniques for comparison with the LDAPS grid data of KMA. Among 595 observation data in 2017, 80 % of the total points and remaining 117 points were used for spatial mapping and quantification,respectively. IDW, cokriging, and kriging were performed via the ArcGIS10.3.1 software and Python3.6.4, and each result was then divided into three clusters and four watersheds for statistical verification. As a result, cokriging produced the most suitable grid climate data for instantaneous temperature. For 1-hr accumulated precipitation, IDW was most suitable for expressing local rainfall effects.