• 제목/요약/키워드: mining disturbance

검색결과 32건 처리시간 0.024초

Recolonization of benthic macroinvertebrates after anthropogenic disturbance in natural streams, South Korea

  • Chun, Seung-Phil;Chon, Seung-Hoon;Lee, Seung-Oh;Im, Jang-Hyuk;Lee, Woo-Kyun;Kim, Myoung-Chul
    • 한국환경생태학회지
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    • 제29권2호
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    • pp.228-235
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    • 2015
  • Stream ecosystems are closely related to many human activities. Therefore, streams are affected by anthropogenic disturbances such as riverine development and gravel-mining as well as deterioration of water quality. The goal of this study was to elucidate the recolonization process of the macroinvertebrate community after a small-scale anthropogenic disturbance. Field studies were conducted at three sites in a natural stream. The number of recolonizing species tended to increase slightly over time, exceeding the total species number of the control. Ephemeroptera contributed the most to shaping the recolonizing pattern of the entire community. From the result of changes in dominant species, the early recolonizers of each site were the species that showed more frequent occurrence particulary at each sites. But the late recolonizers are Chironomidae at all the sites commonly. This result implies that the actual differences exist among the recolonizing trends of each benthic macroinvertebrate taxon. Collector-gatherers and scrapers comprised about 70% of the recolonizing species. These results indicate that the recolonizing process of an aquatic community after an artificial disturbance depends on the environmental conditions(particularly substratum composition or organic pollution) of the habitat.

Stochastic analysis for uncertain deformation of foundations in permafrost regions

  • Wang, Tao;Zhou, Guoqing;Wang, Jianzhou;Zhao, Xiaodong;Yin, Leijian
    • Geomechanics and Engineering
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    • 제14권6호
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    • pp.589-600
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    • 2018
  • For foundations in permafrost regions, the displacement characteristics are uncertain because of the randomness of temperature characteristics and mechanical parameters, which make the structural system have an unexpected deviation and unpredictability. It will affect the safety of design and construction. In this paper, we consider the randomness of temperature characteristics and mechanical parameters. A stochastic analysis model for the uncertain displacement characteristic of foundations is presented, and the stochastic coupling program is compiled by Matrix Laboratory (MATLAB) software. The stochastic displacement fields of an embankment in a permafrost region are obtained and analyzed by Neumann stochastic finite element method (NSFEM). The results provide a new way to predict the deformation characteristics of foundations in permafrost regions, and it shows that the stochastic temperature has a different influence on the stochastic lateral displacement and vertical displacement. Construction disturbance and climate warming lead to three different stages for the mean settlement of characteristic points. For the stochastic settlement characteristic, the standard deviation increases with time, which imply that the results of conventional deterministic analysis may be far from the true value. These results can improve our understanding of the stochastic deformation fields of embankments and provide a theoretical basis for engineering reliability analysis and design in permafrost regions.

Research on reinforcement mechanism of soft coal pillar anchor cable

  • Li, Ang;Ji, Bingnan;Zhou, Haifeng;Wang, Feng;Liu, Yingjie;Mu, Pengfei;Yang, Jian;Xu, Ganggang;Zhao, Chunhu
    • Geomechanics and Engineering
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    • 제29권6호
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    • pp.697-706
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    • 2022
  • In order to explore the stable anchoring conditions of coal side under the mining disturbance of soft section coal pillar in Wangcun Coal Mine of Chenghe Mining Area, the distribution model of the anchoring support pressure at the coal pillar side was established, using the strain-softening characteristics of the coal to study the distribution law of anchoring coal side support pressure. The analytical solution for the reinforcement anchorage stress in the coal pillar side was derived with the inelastic state mechanical model. The results show that the deformation angle of the roadway side and roof increases with the roof subsidence due to the mining influence at the adjacent working face, the plastic deformation zone extends to the depth of the coal side, and the increase of anchorage stress can effectively control the roof subsidence and further deterioration of plastic zone. The roadway height and the peak support pressure have a certain influence on the anchorage stress, the required anchorage stress of the coal side rises with the roadway height and the peak support pressure. The required anchorage stress of the coal pillar side decreases as the cohesion between the coal seam and the roof and floor and the anchor length increases. Then, applied the research result to Wangcun coal mine in Chenghe mining area, the design of anchor cable reinforcement support was proposed for the section of coal pillars side that has been anchored and deformed, which achieved great results and effectively controlled the convergence and deformation of the side, providing a safety guarantee for the roadway excavation and mining.

지반교란 영역 규명을 위한 고분해능 천부 탄성파 반사법 탐사 (High Resolution Shallow Seismic Reflection Survey for the Investigation of Ground Disturbance Area)

  • 고광범;이두성
    • 지구물리와물리탐사
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    • 제6권1호
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    • pp.28-34
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    • 2003
  • 지반침하는 지난 3년간의 본 연구실의 중요한 연구 주제로 본 연구에서는 채굴적 붕괴로 육안상 지표침하는 뚜렷이 관측되지 않으나 그 하부 지반은 이미 교란되었다고 판단되는 영역을 천부 탄성파 반사법을 이용하여 고찰함으로써 향후 예상 침하영역을 정량적으로 도출하였다. 지반교란에 의한 탄성파 신호의 왜곡 및 감쇠를 최소화하고자 좁은 송수신 간격(0.3m) 및 가능한 짧은 오프셋(<30m)의 0.15m의 CMP간격을 가지는 측선배열로써 고주파수 천부 탄성파 자료를 획득하였다. 짧은 측선길이(43m)를 감안하여 고정된 지오폰에 대하여 송신원을 이동하는 배열법을 선택하였다. 침하에 의해 지반교란이 심한 조사지역의 탄성파 자료의 특성과 획득자료 대부분이 짧은거리 오프셋 탄성파 자료임을 고려하여 신중한 뮤팅과 잔여정보정 처리과정을 거쳐 탄성파 중합단면을 작성하였다. 지표 침하양상과 대비하여 중합단면을 해석, 정량적인 예상 침하영역을 분리하였다.

Optimization study on roof break direction of gob-side entry retaining by roof break and filling in thick-layer soft rock layer

  • Yang, Dang-Wei;Ma, Zhan-Guo;Qi, Fu-Zhou;Gong, Peng;Liu, Dao-Ping;Zhao, Guo-Zhen;Zhang, Ray Ruichong
    • Geomechanics and Engineering
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    • 제13권2호
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    • pp.195-215
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    • 2017
  • This paper proposes gob-side entry retaining by roof break and filling in thick-layer soft rock conditions based on the thick-layer soft rock roof strata migration law and the demand for non-pillar gob-side entry retaining projects. The functional expressions of main roof subsidence are derived for three break roof direction conditions: lateral deflection toward the roadway, lateral deflection toward the gob and vertically to the roof. These are derived according to the load-bearing boundary conditions of the main roadway roof stratum. It is concluded that the break roof angle is an important factor influencing the stability of gob-side entry retaining surrounding rock. This paper studies the stress distribution characteristics and plastic damage scope of gob-side entry retaining integrated coal seams, as well as the roof strata migration law and the supporting stability of caving structure filled on the break roof layer at the break roof angles of $-5^{\circ}$, $0^{\circ}$, $5^{\circ}$, $10^{\circ}$ and $15^{\circ}$ are studied. The simulation results of numerical analysis indicate that, the stress concentration and plastic damage scope to the sides of gob-side entry retaining integrated coal at the break roof angle of $5^{\circ}$ are reduced and shearing stress concentration of the caving filling body has been eliminated. The disturbance of coal mining to the roadway roof and loss of carrying capacity are mitigated. Field tests have been carried out on air-return roadway 5203 with the break roof angle of $5^{\circ}$. The monitoring indicates that the break roof filling section and compaction section are located at 0-45 m and 45-75 m behind the working face, respectively. The section from 75-100 m tends to be stable.

심해저 채광시스템에 대한 분산제어기 설계에 관한 연구 (Design of a Decentralized Controller for Deep-sea Mining System)

  • 여태경;박성재;홍섭;김형우;최종수
    • 한국해양학회지:바다
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    • 제13권3호
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    • pp.252-259
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    • 2008
  • 심해채광시스템(Deep-sea mining system)은 보편적으로 수상선(Surface vessel), 양광관(Lifting system), 버퍼(Buffer), 유연관(Flexible pipe) 그리고 집광기(Miner)로 구성된다. 이러한 채광시스템은 하부시스템들(Subsystems)로 구성되기 때문에 대규모 시스템(Large-scale system)으로 가정할 수 있다. 대규모 시스템을 제어하기 위하여, 최근에는 분산제어기법(Decentralized control approach)이 널리 적용되고 있다. 본 논문에서는 대규모 시스템인 채광시스템에 분산제어 기법의 적용성에 대한 기본연구로서, 먼저 심해채광시스템을 유사 모델(양광관과 버퍼를 구면진자 유연관을 2차원 선형 스프링 결합)로 가정하고 간략하게 모델화하였다. 간략화된 모델을 바탕으로, 대규모 심해 채광시스템을 2개의 하부 시스템, 수상선, 양광관과 버퍼로 구성된 시스템과 집광기 시스템으로 각각 나누었다. 다음으로 각 하부 시스템 사이의 상호작용 요소(Interaction term)를 외란(Disturbance)으로 가정하고, 각 하부시스템에 대한 분산제어기를 설계하였다. 여기서 제어기는 집광기가 주어진 경로를 움직이는 동안, 집광기 시스템과 수상선, 양광관과 버퍼 시스템 사이의 거리가 일정하게 유지되도록 제어하였다. 끝으로 제안된 제어기의 효율성을 검증하기 위해, 간략화된 모델을 이용한 수치 시뮬레이션을 수행하였다.

신용카드 연체자 분류모형의 성능평가 척도 비교 : 예측률과 유틸리티 중심으로 (Comparison of Performance Measures for Credit-Card Delinquents Classification Models : Measured by Hit Ratio vs. by Utility)

  • 정석훈;서용무
    • Journal of Information Technology Applications and Management
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    • 제15권4호
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    • pp.21-36
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    • 2008
  • As the great disturbance from abusing credit cards in Korea becomes stabilized, credit card companies need to interpret credit-card delinquents classification models from the viewpoint of profit. However, hit ratio which has been used as a measure of goodness of classification models just tells us how much correctly they classified rather than how much profits can be obtained as a result of using classification models. In this research, we tried to develop a new utility-based measure from the viewpoint of profit and then used this new measure to analyze two classification models(Neural Networks and Decision Tree models). We found that the hit ratio of neural model is higher than that of decision tree model, but the utility value of decision tree model is higher than that of neural model. This experiment shows the importance of utility based measure for credit-card delinquents classification models. We expect this new measure will contribute to increasing profits of credit card companies.

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Complex Neural Classifiers for Power Quality Data Mining

  • Vidhya, S.;Kamaraj, V.
    • Journal of Electrical Engineering and Technology
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    • 제13권4호
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    • pp.1715-1723
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    • 2018
  • This work investigates the performance of fully complex- valued radial basis function network(FC-RBF) and complex extreme learning machine (CELM) based neural approaches for classification of power quality disturbances. This work engages the use of S-Transform to extract the features relating to single and combined power quality disturbances. The performance of the classifiers are compared with their real valued counterparts namely extreme learning machine(ELM) and support vector machine(SVM) in terms of convergence and classification ability. The results signify the suitability of complex valued classifiers for power quality disturbance classification.

Evaluating the Restoration of a Stream in an Abandoned Mine Land via Biomass Calculation of Benthic Macroinvertebrates

  • Mi-Jung Bae;Hyeon-Jung Seong;Seong-Nam Ham;Eui-Jin Kim
    • 생태와환경
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    • 제55권4호
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    • pp.415-420
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    • 2022
  • It is essential that continual assessments of the impact of mine-derived water as a long-lasting burden on freshwater environments. Abundance-based evaluations of benthic macroinvertebrates have been conducted to evaluate anthropogenic disturbances and devise policies to reduce their impact. In this study, the status of a stream habitat was evaluated based on the body length and biomass weight of benthic macroinvertebrates of the family Baetidae. Following the renewal of the mining water treatment plant, the abundance of Baetidae assemblages recovered to a level comparable to that of a reference site. However, relatively low values were found for both body length and biomass weight in Baetidae species inhabiting the reddened streambed area, suggesting that the habitat has not yet been completely recovered despite the recovery of the abundance of the Baetidae assemblages. Therefore, continuous investigation and evaluation of this disturbed stream are necessary until their growth conditions of the habitat have functionally recovered.

빅데이터 분석 교육의 문제점과 개선 방안 -학생 과제 보고서를 중심으로 (Problems of Big Data Analysis Education and Their Solutions)

  • 최도식
    • 한국융합학회논문지
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    • 제8권12호
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    • pp.265-274
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    • 2017
  • 본 논문은 빅데이터 분석 교육의 문제점을 고찰해 그 개선 방안을 제시한다. 빅데이터의 특성은 V3에서 V5로 진화하고 있다. 이에 빅데이터 분석 교육도 V5를 감안한 데이터 분석 교육이 되어야 한다. 작금 불확실성의 증대는 데이터 분석의 리스크를 증가시키기에 내적 외적 구조화/비구조화 데이터를 비롯해 교란 요인마저 분석할 때 데이터의 신뢰성은 증가될 수 있다. 그리고 평판분석을 활용할 때 범하기 쉬운 오류가 가변성과 불확실성에 대한 상황 인식이다. 가변성의 측면을 고려해, 다양한 변수와 옵션에 의한 불확실성의 상황을 인식하고 대비한 데이터 분석이 이뤄질 때 데이터에 대한 신뢰성과 정확성은 증가할 수 있다. 사회관계망 분석에서 학생들과 일반 연구자들이 주로 활용하는 것이 텍스톰과 노드엑셀의 노드 분석이다. 사화관계망 분석은 매개중심성에 의한 상황 분석을 통해 다크 데이터를 찾아 이상 현상을 감지하고 현 상황을 분석하여 유용한 의미를 얻고 미래를 예측할 수 있어야 한다.