• Title/Summary/Keyword: Soil security

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Development of Levee Safety Revaluation for Satellite Images (위성 이미지를 활용한 제방 안정성 평가 기법 개발)

  • Bang, Young Jun;Lee, Seung Oh
    • Journal of Korean Society of Disaster and Security
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    • v.15 no.3
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    • pp.1-14
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    • 2022
  • Recently, the risk of water disasters are increasing due to climate change and the aging of river levees. Existing conventional river embankment inspections have many limitations due to the consumption of a lot of manpower and budget. Thus, it is necessary to establish a new monitoring and forecast/warning method for effective flood response. This study proposes the river levee health monitoring system by analyzing the relationship between river levee deformation and hydrological factors using Sentinel-1. The variance index calculated in this study was classified into 4 grades. And the levees collapse section was judged to be a high vulnerable point in which the variance rapidly increased based on the result of the rapid increase in soil moisture. In the future, it is expected that it will be possible to advance levee maintenance technology and improve national disaster management through the advancement of the existing levee management system and automated monitoring through the forensic method that combines remote technology.

An Application of Elasto-Plastic Model to Overhanging Geosynthetic-Reinforced Soil Structure (역경사형 토목섬유 보강토 구조물에 탄소성 모델의 적용)

  • Kim, Eun-Ra;Iizuka, Atsushi;Kim, You-Seong
    • Journal of the Korean Geosynthetics Society
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    • v.3 no.4
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    • pp.3-12
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    • 2004
  • In this paper, a mechanism of the soil structure reinforced by geosynthetics is discussed. The reinforcing mechanism is interpreted an effect arising from the reinforcement works so as to prevent the dilative deformation (negative dilatancy) of soil under shearing. A full-scale in-situ model test was carried out in Kanazawa of Japan(1994) and in the laboratory test the strength and the characteristics of deformation conducting a constant volume shear test are examined. The parameters needed in the FEM are also applied by using the experimental data. The elasto-plastic finite element simulation is carried out, and the results are quantitatively compared with that of experiment. As a results, it is known that the theoretical predictions could be explained effectively the experimental results which are obtained by a full-scale in-situ model test.

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Classification of the Damaged Areas in the DMZ (Demilitarized zone) by Location Environments (입지 환경 인자를 이용한 DMZ 남측 철책선 주변 훼손지 유형화)

  • Bak, Gi-Ppeum;Kim, Sang-Jun;Lee, Ah-Young;Kim, Dong-Hak;Yu, Seung-Bong
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.24 no.2
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    • pp.71-84
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    • 2021
  • Restoration of DMZ has come up with the discussion on the peaceful use of the DMZ and the conservation plan of the army. In this study, we aim to identify soil characteristics of 108 sites to figure out environmental conditions around the iron fence of DMZ where vegetation has been removed repeatedly. Based on the soil characteristics and climate variables, hierarchy clustering was performed to categorize sites. As a result, we categorized 108 sites into 4 types: middle elevation region, lowland, East coast lowland, other areas. Group of 'other area' is only high in nutrient and clay proportion. Others are in igneous rock and metamorphic rocks with a high proportion of sand and lower nutrients than the optimum range of growth in Korean forest soil. The middle elevation region has a high altitude, low temperature. The east coast lowland has a high temperature in January and low precipitation. The lowland has a low altitude and high temperature. This category provides the environmental condition around the DMZ fence and can be used to select plants for restoration. The restoration project around the DMZ iron fence should satisfy the security of military plans, which means that functional restoration is prior to ecological restoration such as vegetation management under a power line. Additionally, improvement of soil quality and surface stability through restoration projects is required to enhance the resilience of the ecosystem in DMZ.

Prediction of potential Landslide Sites Using GIS (지리정보시스템에 기반한 산지재해 예측)

  • Cha, Kyung Seob;Kim, Tae Hoon;Kim, Young Jin
    • Journal of Korean Society of societal Security
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    • v.1 no.4
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    • pp.57-64
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    • 2008
  • Korea has been suffered from serious damages of lives and properties, due to landslides that are triggered by heavy rains in every monsoon season. This study developed the physically based landslide prediction model which consists of 3 parts, such as slope stability analysis model, groundwater flow model and soil depth model. To evaluate its applicability to the prediction of landslides, the data of actual landslides were plotted on the areas predicted on the GIS map. The matching rate of this model to the actual data was 84.8%. The relation between hydrological and landform factors and potential landslide were analyzed.

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A Study on Geotechnical Stability of the Sludge Mixed Soil (슬러지가 혼합된 지반의 공학적 안정 특성에 관한 연구)

  • Hwang, Sung-Pil;Jeoung, Jae-Hyeung
    • Journal of Korean Society of Disaster and Security
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    • v.10 no.1
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    • pp.55-60
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    • 2017
  • The dyeing sludge can be weakened by inflow of rainfall or absorption of moisture after it is buried in a waste landfill. This study tested the dyeing sludge and earth/sand mixture to check the problem when the dehydrated dyeing sludge is buried in a waste landfill. When the dyeing sludge was left idle with high water content inside a landfill with poor draining for a long period, the water permeability decreased to around 3/100 level and the compressibility increased by 1.4 times compared to the dyeing sludge at a dyeing factory. The study result indicated that it was important to reduce the water content inside the landfill for stability. Also, the facilities to secure the drainage path and eliminate leachate were needed.

Vibration Measurements in the Mining Industry Applying the Software Install Application to the Kosovo Energy Corporation

  • Luzha, Ibush;Baftiu, Naim;Maloku, Betim;Qarkaxhija, Jusuf
    • International Journal of Computer Science & Network Security
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    • v.22 no.8
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    • pp.362-370
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    • 2022
  • The assessment of specific impacts on the environment is a preventive measure for environmental protection which is based on the definition and proposal of measures that can prevent harmful effects, reduce or eliminate them. In the physical sense, vibration is the oscillating motion of an object with the effect of internal or external forces applied to it. People who touch a vibrating surface or object will feel these vibrations. In general, there are two types of vibration exposure. The first are the vibrations of the hands and arms transmitted by the held parts of tools or machinery. The second are whole-body vibrations transmitted from a seat or surface to a motorized car. The risk of injury to workers exposed to vibration varies depending on the size, frequency, type, duration of exposure, and organ affected. The purpose of this paper is to review the measurements of vibrations in the Kosovo Energy Corporation in the mine Sibovc Southwest, where coal with a rotary excavator is exploited and the evaluation of vibrations for working conditions for workers working in that environment and improving working conditions for the measurement of vibrations we have used the device Minimate DS 078, the purpose of such environmental impact assessment is to collect data and predict the harmful impacts on the environment, namely the impact on water, air, soil, life and health of as well as identify and propose measures that could prevent, reduce or eliminate altogether.

Comparative Analysis of Machine Learning Models for Crop's yield Prediction

  • Babar, Zaheer Ud Din;UlAmin, Riaz;Sarwar, Muhammad Nabeel;Jabeen, Sidra;Abdullah, Muhammad
    • International Journal of Computer Science & Network Security
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    • v.22 no.5
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    • pp.330-334
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    • 2022
  • In light of the decreasing crop production and shortage of food across the world, one of the crucial criteria of agriculture nowadays is selecting the right crop for the right piece of land at the right time. First problem is that How Farmers can predict the right crop for cultivation because famers have no knowledge about prediction of crop. Second problem is that which algorithm is best that provide the maximum accuracy for crop prediction. Therefore, in this research Author proposed a method that would help to select the most suitable crop(s) for a specific land based on the analysis of the affecting parameters (Temperature, Humidity, Soil Moisture) using machine learning. In this work, the author implemented Random Forest Classifier, Support Vector Machine, k-Nearest Neighbor, and Decision Tree for crop selection. The author trained these algorithms with the training dataset and later these algorithms were tested with the test dataset. The author compared the performances of all the tested methods to arrive at the best outcome. In this way best algorithm from the mention above is selected for crop prediction.

Ensemble Modulation Pattern based Paddy Crop Assist for Atmospheric Data

  • Sampath Kumar, S.;Manjunatha Reddy, B.N.;Nataraju, M.
    • International Journal of Computer Science & Network Security
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    • v.22 no.9
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    • pp.403-413
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    • 2022
  • Classification and analysis are improved factors for the realtime automation system. In the field of agriculture, the cultivation of different paddy crop depends on the atmosphere and the soil nature. We need to analyze the moisture level in the area to predict the type of paddy that can be cultivated. For this process, Ensemble Modulation Pattern system and Block Probability Neural Network based classification models are used to analyze the moisture and temperature of land area. The dataset consists of the collections of moisture and temperature at various data samples for a land. The Ensemble Modulation Pattern based feature analysis method, the extract of the moisture and temperature in various day patterns are analyzed and framed as the pattern for given dataset. Then from that, an improved neural network architecture based on the block probability analysis are used to classify the data pattern to predict the class of paddy crop according to the features of dataset. From that classification result, the measurement of data represents the type of paddy according to the weather condition and other features. This type of classification model assists where to plant the crop and also prevents the damage to crop due to the excess of water or excess of temperature. The result analysis presents the comparison result of proposed work with the other state-of-art methods of data classification.

Design and Implementation of Fully Automated Solar Powered Irrigation System

  • Mohammad Fawzi Al Ajlouni;Essam Ali Al-Nuaimy;Salman Abdul-Rassak Sultan;Ali Hammod AbdulHussein Twaij;Al Smadi Takialddin
    • International Journal of Computer Science & Network Security
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    • v.24 no.4
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    • pp.197-205
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    • 2024
  • This paper presents a fully automated stand-alone irrigation system with GSM (Global System for Mobile Communication) module. Solar energy is utilized to power the system and it is aimed to conserve water by reducing water losses. The system is based on a DC water pump that draws energy from solar panels along with automated water flow control using a moisture sensor. It is also fitted with alert and protection system that consists of an ultrasonic sensor and GSM messages sender that transmits signals showing the levels of the water in the reservoir and the battery charge. The control system is designed to stop the water pump from pumping water either when the battery level drops to equal or less than 10% of its full charge, or when the water level becomes less than 10 cm high in the reservoir. The experimental results revealed that the system is appropriate to use in remote areas with water scarcity and away from the national grid.

Groundwater Management Pradigm Shift and Policy Directions for Integrated Water Management in Korea (통합 물관리를 위한 우리나라 지하수 관리 패러다임 전환과 정책방향)

  • Hyun, Yunjung;Han, Hye Jin
    • Journal of Soil and Groundwater Environment
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    • v.26 no.6
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    • pp.176-185
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    • 2021
  • This paper aims to develop a new paradigm for groundwater management which is compatible with integrated water management policies in Korea. Three key roles of groundwater are defined for addressing water cycle distortion, high water stress, water quality degradation, aquatic ecosystems deterioration, and water-related hazards. Firstly, groundwater plays an important role in contributing soundness of water cycle as a component of water cycle. Secondly, it is a local water resource to ensure water supply sustainability. Thirdly, groundwater is an essential water resource for drought and emergencies. In order to support the groundwater roles, we propose a paradigm shift for groundwater management and policy directions towards integrated water management. The new paradigm consists of managements for sound water cycle on a watershed scale and groundwater environment(quantity, quality, and groundwater dependent ecosystems) managements for both human and nature. A prospective management also constitutes the new paradigm. In addition, this paper proposes four policy directions in groundwater management. The policies emphasize the integrated management of groundwater and surface water, management of groundwater environment(quantity, quality, and groundwater dependent ecosystems), management of groundwater uses for water sustainability and security, and enhancement of groundwater publicity.