• The Journal of Engineering Geology
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• v.30 no.4
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• pp.663-671
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• 2020

Recently, there have been many natural disasters in Korea, not only in forest areas but also in urban areas, and the national requirements for them are increasing. In particular, there is no pre-disaster information system that can systematically manage the collapse of the slope of the national highway. In this study, big data analysis was conducted on the factors causing slope collapse based on the detailed investigation report on the slope collapse of national roads in Gangwon-do and Gyeongsang-do areas managed by the Cut Slope Management System (CSMS) and the basic survey of slope failures. Based on the analysis results, a slope collapse risk prediction model was established through Adaboost, a classification-based machine learning model, reflecting the collapse slope location and weather information. It also developed a visualization map for the risk of slope collapse, which is a visualization program, to show that it can be used for preemptive disaster prevention measures by identifying the risk of slope due to changes in weather conditions.

• Journal of the Korean Society of Hazard Mitigation
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• v.4 no.3 s.14
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• pp.9-17
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• 2004

In recent years slope failure due to heavy rainfalls or local downpours usually accompanied by typhoons has increasingly occurred in Korea. Also, the damages caused by slope failure have a tendency to be more disastrous than before. This study has been conducted to prepare an early warning system for slope failure by : (1) analyzing types and causes of slope failure, (2) examining the published evaluation criteria for slope stability, (3) estimating slope stability by considering the properties of slope-forming materials as well as the topographical and geological properties of slopes, and (4) determining the most important variables of affecting the stability of the slope under consideration. The data on the variations of slope conditions measured by an automatic in-situ measurement system and then transmitted to the central analysis system by using an internet. The most important variables can be back-calculated in the central system and compared with the values for the first and second management criteria. These management criteria should be modified and corrected continuously in the future by accumulated data and knowledge related to the early warning system for slope failure.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2007.04a
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• pp.277-281
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• 2007

Quite a while ago, Organizations which have slope DB system was running slope of management in several. Frequently, Slope failure was happened by abnormal weather and limit of valuation system at the managed slope. Analysis of other organization slope DB systems is very important that slope DB system maintains same regions on geology. In Korea, slope DB system was running at KEC(Korea Expressway Corporation), Korail(Korea Railroad), and KIGAM(Korea Institute of Geoscience and Mineral Resources). We research theirs DB constructing. For reviewed slope DB system of other country, we searched NLIC(Natural Landslide Information Center)'s DB system in U.S.A., GEO's LPM(landslide Prevention Measures) program in Hongkong, DPRI' ILC(International Consortium on Landslides) program in Japan, and AGSO(Australian Geological Survey Organization)'s NGVUC program in Australia.

• Proceedings of the Korean Geotechical Society Conference
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• 1998.06a
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• pp.111-124
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• 1998

• The Journal of Engineering Geology
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• v.17 no.1 s.50
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• pp.15-25
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• 2007

In general, the life and asset casualties that occur due to landslide or slope failure in urban areas are larger than that in rural areas. In order to reduce the casualties, a slope management program is necessary to categorize slopes based on properties and to manage them systematically. The slope management system is the establishment of the data base for the geological and geotechnical factor according to slope stability, and the utilization of the data base to manage slopes. The suitable system must develop to slopes in urban area through the survey, analysis and evaluation process. Based on the above necessity, the slope management program which is applicable to slope management in an urban area has been developed at Hwangryung Mt. in Busan as a target area. The developed slope management program has various functions such as slope ID number of each slope or sub-region of a mountain, making a slope data sheet, analysis and grouping of slope stability, and establishment of a data base. The slope management program is constructed by use of GIS, and the survey, test and analysis data according to all slopes can be input and edited into the program. The program can also be utilized practically by end users due to the convenient input, edition printing, management and operation of slope data. Therefore, the slope management system has been established on the application of the developed program in Busan which is located in slope area. As the system is widely applied to other cities, the slope in urban area can be managed systematically and the slope hazards can be minimized.

• Journal of the Korean GEO-environmental Society
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• v.15 no.7
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• pp.13-21
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• 2014

Recently, a great number of natural disasters have more frequently happened than the past. The National Emergency Management Agency of Korea has made preparation for the integrated management system of steep slope lands. There is information based on the steep slope inspection sheets and the underground spatial information related to the prevention against steep slope disasters. Nevertheless, building a complete DB System to prevent the hazards and secure the safeties should be urgently dealt with. It is mainly because the information of the National Disaster Management System is restricted to the text-based brief data. Therefore, the purpose of this study is to suggest the method as to building steep slope DB system for disaster prevention and maximizing the availabilities. This study shows the way of building a web-based DB system having its root in the steep slope inspection sheets. The method of establishing the ideal DB system that has liaisons between the Ministry of Land, Infrastructure and Transport and the National Emergency Management Agency is discussed in this study. Furthermore the optimization of DB utilization will assist the various integrated steep slope management systems based on U-IT which are ongoing projects.

• Journal of The Korean Society of Agricultural Engineers
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• v.46 no.5
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• pp.117-127
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• 2004

A risk analysis on the cutting slope of roads near Cheongju area was carried out with the data from geological map, field investigation, and laboratory test and with the Geographic Information System. A risk analysis method on the cutting slope of road using the Geographic Information System was developed with the data from geological map, field investigation and laboratory tests. In the GIS, road factors which are safety factor, class of road, slake index, slope-protection works, and height of slope in the cutting slopes are classified into some ranks, and their weighting factors were taken into account. This method can be applied effectively to a road management.

• Proceedings of the Korean Geotechical Society Conference
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• 2008.10a
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• pp.980-983
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• 2008

KICT has been carrying out inventory research on the cut slopes of national roads. Inventory research results are basic data used in cut slope management system. Inventory data are classified by general status, cut slope characteristics and inspector opinion. Cut slope inventory data are utilized to figure out dangerous slopes and decide survey ranking of detailed safety diagnostication. This paper will draw dangerous cut slope and more important inventory data in Chungcheongdo via correlation analysis.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.6
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• pp.545-550
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• 2004

Recent natural disasters like flooding and slope collapse have shown the need for natural risk management system, as they endanger directly public health and cause severe damages on the national economy. In order to improve the efficiency of risk management systems, this management system based on AANN(Auto-Associative Neural Network)is proposed in this paper. AANN can be effectively used for identification of abnormal data and data compression. The proposed AANN-based risk management system collects and stores measurement data from sensors and transmits them to remote server for web-monitoring. Generally, it is desirable to transmit the compressed data instead of raw data in normal state. However, if dangerous situation happens, rapid tramission of measurement data should be required. These requirements are easily satisfied by using AANN. In order to verify the feasibilities of the proposed system, The AANN-based risk management system is applied to slope collapse monitoring system.

• Tunnel and Underground Space
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• v.11 no.3
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• pp.206-216
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• 2001

Many failures in cut slopes occur during and following road construction. Failures are caused, in part, by a lack of understanding of the characteristics of rock mass including its geologic structure. The stability of rock slopes is closely related to factors that include the type of rock, development of geological structures, weathering, characteristics of rock, and the shape of the geologic features. Therefore, it is very important to consider these characteristics of rock mass in the evaluation of rock slope stability. In spite of investigation from many slope failures, these information data were not systematically stored and not efficiently utilized. In this study, a Database system named DB/SLOPE was developed using Oracle for systematic management of cut slopes. The developed database system can be used to estimate of slope stability and to predict of slope failure.