• 자원환경지질
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• 제57권3호
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• pp.293-303
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• 2024

River mining, the extraction of sand and gravel from riverbeds, is rising at an alarming rate to keep pace with the increasing demand for construction materials worldwide. The far-reaching deleterious effects of river mining include the lowering of water levels, the augmentation of turbidity, and the erosion of riverbanks, i.e., the disruption of water flow and alteration of river morphology. Aggregates demand, geolocation, and the economy of Bangladesh accelerated illegal extraction. However, limited research has been carried out in this region, despite the severe impact on aquatic and terrestrial ecosystems. To address the corresponding consequences and direct the scope for further research, it is required to evaluate existing studies of other countries having similarities in river morphology, climate, economy, and other related parameters. In this respect, based on previous studies, the effects of sand extraction are particularly prominent in India, having 54 cross-boundary rivers with Bangladesh. The geological profile of numerous rivers in the past decades has been altered due to natural aggregate mining in the Indian subcontinent. Hence, this study focused on relevant research in this region. However, the existing research only focuses on the regional portion of the aforementioned international rivers, which lacks proper assessments of these rivers, taking into account especially the mining effects. Moreover, several global rivers that have similarities with Bangladeshi rivers, considering different parameters, are also included in this study. The findings of this article underline the pressing need for more efficacious measures to address the adverse effects of river mining and safeguard ecosystems and communities globally, especially in the Indian subcontinent, where the situation is particularly vulnerable. For this reason, targeting the aforementioned region, this review highlights the global evidence in assessing the future effects of river mining and the need for further research in this field.

• Geomechanics and Engineering
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• 제22권2호
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• pp.133-142
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• 2020

The evolution of the mining-induced fracture network formed during longwall top coal caving (LTCC) has a great influence on the gas drainage, roof control, top coal recovery ratio and engineering safety of aquifers. To reveal the evolution of the mining-induced stress and fracture network formed during LTCC, the fracture network in front of the working face was observed by borehole video experiments. A discrete element model was established by the universal discrete element code (UDEC) to explore the local stress distribution. The regression relationship between the fractal dimension of the fracture network and mining stress was established. The results revealed the following: (1) The mining disturbance had the most severe impact on the borehole depth range between approximately 10 m and 25 m. (2) The distribution of fractures was related to the lithology and its integrity. The coal seam was mainly microfractures, which formed a complex fracture network. The hard rock stratum was mainly included longitudinal cracks and separated fissures. (3) Through a numerical simulation, the stress distribution in front of the mining face and the development of the fracturing of the overlying rock were obtained. There was a quadratic relationship between the fractal dimension of the fractures and the mining stress. The results obtained herein will provide a reference for engineering projects under similar geological conditions.

• 한국지구과학회지
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• 제37권4호
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• pp.211-217
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• 2016

낙동강에는 휴 폐광산의 관리 소홀로 인하여 광미, 광산폐기물, 침출수 등이 산재되어 있으며 여름철 집중 호우기 동안 이 같은 오염물들이 수계에 유입될 수 있다. 경상북도 봉화군 석포면에서 시작해 안동시 안동호 상류에 이르기까지 낙동강에 영향을 미칠 수 있는 광산은 총 105개로 금속광산 60개, 비금속 광산 45개에 달한다. 이를 확인하기 위해서 1년 동안 건기와 우기에 퇴적물, 배출수, 하천수를 채취하였다. 광산의 활동으로 낙동강 주변에 전반적으로 심각한 수준의 중금속 오염을 보이는 퇴적층이 산재해 있음을 확인했다(101개의 시료채취 지점 중 중금속농도를 바탕으로 한 오염지수 10 이상 지점 68개). 하천수 분석 결과에서는 승부, 삼보, 옥방, 장군 광산 등의 지류 시료에서 비소와 카드뮴 농도가 우기 때 증가하는 양상을 보였으며 광산의 배출수와 광미 퇴적층으로 인한 오염이 우려된다. 그러나 광미 퇴적층과 하천수의 화학조성만으로는 오염의 근원이 되는 광산의 유입정도를 분리해 내기 어렵고 이러한 문제는 광해 방지를 어렵게 한다. 광산 활동으로 인한 오염을 효과적으로 방지하기 위해서는 각 오염근원으로부터의 유입비를 분리해 낼 수 있어야 하는데, 그 방법으로써 안정동위원소를 사용하고 이를 통한 오염원 추적 분석 기술 개발에 대한 연구가 필요하다.

• 환경영향평가
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• 제20권5호
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• pp.705-716
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• 2011

For the efficient discovery of knowledge and information from the observed systems, data mining techniques can be an useful tool for the prediction of water quality at intake station in rivers. Deterioration of water quality can be caused at intake station in dry season due to insufficient flow. This demands additional outflow from dam since some extent of deterioration can be attenuated by dam reservoir operation to control outflow considering predicted water quality. A seasonal occurrence of high ammonia nitrogen ($NH_3$-N) concentrations has hampered chemical treatment processes of a water plant in Geum river. Monthly flow allocation from upstream dam is important for downstream $NH_3$-N control. In this study, prediction models of water quality based on multiple regression (MR), artificial neural network and data mining methods were developed to understand water quality variation and to support dam operations through providing predicted $NH_3$-N concentrations at intake station. The models were calibrated with eight years of monthly data and verified with another two years of independent data. In those models, the $NH_3$-N concentration for next time step is dependent on dam outflow, river water quality such as alkalinity, temperature, and $NH_3$-N of previous time step. The model performances are compared and evaluated by error analysis and statistical characteristics like correlation and determination coefficients between the observed and the predicted water quality. It is expected that these data mining techniques can present more efficient data-driven tools in modelling stage and it is found that those models can be applied well to predict water quality in stream river systems.

• 한국수자원학회논문집
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• 제48권1호
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• pp.1-8
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• 2015

본 논문에서는 지난 20여 년간의 낙동강 하상변동 자료와 준설 및 골재채취 자료, 그리고 지류로부터 유입되는 유사량 관측 자료 및 수치모의 자료 등을 조사, 검토, 분석하여 4대강살리기 사업 전의 낙동강 하도에서의 개괄적인 유사수지 특성을 분석하였다. 4대강살리기 사업 전 낙동강 하도의 유사수지분석 결과, 유역에서 하도로 유입된 유사량은 $2,100,000m^3/yr$이며 낙동강으로부터 유출 또는 준설된 유사유출 총량은 $10,180,000m^3/yr$인 것으로 나타났다. 따라서 유사수지 분석을 통해 산정된 낙동강 하도에서의 하상변동량은 $-8,080,000m^3/yr$으로 하상이 침식된 것으로 나타났으며 이는 실제 하도측량 자료 분석을 통해 도출된 낙동강 본류의 자연적 그리고 인위적인 하상변동량($-8,300,000m^3/yr$)과 유사한 것으로 나타났다.

• 한국석유지질학회:학술대회논문집
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• 한국석유지질학회 1998년도 제5차 학술발표회 발표논문집
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• pp.15-21
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• 1998

Sparker profiles and sediment cores collected from the Korea Strait show a distinct pattern of stacked prograding wedges consisting of three distinct units. These wedges are interpreted as the lowstand deposits formed during glacioeustatic sea-level lowstands. Repeated sea-level falls during late Pleistocene with high sediment discharge from the paleo-Nakdong River system resulted in the formation of thick lowstand wedges.

• Journal of Ecology and Environment
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• 제48권3호
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• pp.233-246
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• 2024

Background: In this research work, epilithic communities of diatoms in macrophytes are listed and described to evaluate the ecological conditions of the surface waters of the Chipoco River, whose basin has been exploited for agricultural and mining purposes, degrading natural ecosystems. The diatoms studied are found in calcareous tufa deposits developed in swampy environments where little of their benthic microbiota has been studied, despite the regional relevance of these calcareous formations within the manganese mining district. To describe the diatoms and evaluate the ecological condition of the surface waters, the Chipoco River was divided into three sectors (North, Center, and South) collecting a total of 15 samples along 10 km. For the taxonomic identification of diatoms, scanning electron microscopy techniques, consultations with specialists and specialized literature were used. To evaluate the ecological conditions of the Chipoco River, the linear correlation coefficient was used, where the relationships between diatom species and environmental variables were evaluated. Likewise, species diversity was determined by applying the Shannon-Wiener index and Simpson's dominance value (D) was calculated to detect diversity impoverishment processes. Results: Ten genera of diatoms were identified in bryophytes of the species Plagiomnium cuspidatum that grow on the banks of said river. The linear correlation coefficient indicated that physicochemical characteristics such as total dissolved solids, temperature, and calcium, and hydrochemical characteristics of the water intervene in the distribution and abundance of four diatoms Rhoicosphenia abreviate, Epithemia turgida, Calloneis bacillum and Achanthidium minutissimum in the different sectors studied. The Shannon-Wiener diversity indices and Simpson's dominance show that there is greater diversity and marked dominance of diatoms in the northern sector compared to the central and southern sectors. Conclusions: Agricultural and mining activities and the poor sanitary infrastructure of human settlements have caused the Chipoco River to have poor ecological quality.

• 한국제4기학회지
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• 제19권2호
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• pp.73-73
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• 2005

• 한국물환경학회지
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• 제26권3호
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• pp.474-481
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• 2010

This study was conducted to describe the characteristics of Non-point source (NPS) Pollution discharge from a coal mining area in Korea. The study areas is located on the Dogye site, Samchuk, Kangwon Province Coal Corporation and the Jangsung site, Taebaek, Kangwon Province Coal Corporation. The monitoring system was installed at a drainage channel and water samples and rainfall events were collected during March 2008 to February 2009. The collected water samples were analyzed with respect to SS, BOD, $COD_{Cr}$, $COD_{Mn}$, T-N, T-P, and TOC, respectively. It was observed that the runoff and water quality were largely influenced by mine drainage. Also a significant relationship was observed from the correlation between flow and water quality, flow and NPS. And estimated Event Mean Concentration (EMC), NPS pollution loads were Dogey coal mine and Taeback coal mine respectively. As the study progresses in the future, runoff and pollution loads will be updated.

• 한국측량학회지
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• 제31권6_2호
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• pp.529-538
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• 2013

Coastline is the most dynamic part of seascape since its shape is affected by various factors. Coastal zone is an area with immense geological, geomorphological and ecological interest. Monitoring coastal change is very important for safe navigation, coastal resource management. This paper shows a result of monitoring coastal morphological changes using Remote Sensing and GIS. Study was carried out to obtain intensity of erosion, deposition and sand bar movement in the Red River Delta. Satellite images of ALOS/AVNIR-2 and Landsat were used for the monitoring of coastal morphological changes over the period of 1975 to 2009. Band rationing and threshold technique was used for the coastline extraction. Tidal levels at the time of image acquisition varied from -0.89m to 2.87m. Therefore, coastline from another image at a different tidal level in the same year was considered to get the corrected coastline by interpolation technique. A series of points were generated along the coastal line from 1975 image and were established as reference points to see the change in later periods. The changes were measured in Euclidean distances from these reference points. Positive values represented deposition to the sea and negative values are erosion. The result showed that the Red river delta area expanded to the sea 3500m in Red river mouth, and 2873m in Thai Binh river mouth from 1975 to 2009. The erosion process occurred continuously from 1975 up to now with the average magnitude 23.77m/year from 1975 to 1989 and 7.85m/year from 2001 to 2009 in Giao Thuy area. From 1975 to 2009, total 1095.2ha of settlement area was eroded by sea. On the other hand, land expanded to the sea in 4786.24ha of mangrove and 1673.98ha of aquaculture.