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Development of a new system for measurement of total effluent load of water quality

  • Keiji, Takase;Akira, Ogura
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.221-221
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    • 2015
  • Sustainable use of water resource and conservation of water quality are essential problems in the world. Especially, problems of water quality are serious one for human health as well as ecological system of all creatures on the earth. Recently, the importance of total effluent load as well as the concentrations of pollutant materials has been recognized not only for the conservation of water quality but also for sustainable water use in watersheds. However, the measurement or estimation of total effluent load from non-point source area such as farm lands or forests may be more difficult because both of concentration and discharge of the water are greatly changed depending on various factors especially metrological conditions such as rainfall, while the measurement from a point source area may be easy because the concentration of pollutant materials and amount of discharge water are relatively steady. Therefore, the total effluent load from a non-point source is often estimated by statistical relationships between concentration and discharge, which is called as L-Q equation. However, a lot of work and time are required to collect and analyze water samples and to get the accurate relationship or regressive equation. So, we proposed a new system for direct measurement of total effluent load of water quality from non-point source areas to solve the problem. In this system, the overflow depth at a hydraulic weir is measured with a pressure gage every hourly interval to calculate the amount of hourly discharge at first. Then, the operating time of a small electric pump to collect an amount of water which is proportional to the discharge is calculated to intake the water into a storage tank. The stored water is taken out a few days later in a case of storm event or several weeks later in a case of non-rainfall event and the concentrations of water quality such as total nitrogen and phosphorous are analyzed in a laboratory. Finally, total load of the water quality can be calculated by multiplying the concentration by the total volume of discharge. The system was installed in a small experimental forestry watershed to check the performance and know the total load of water quality from the forest. It was found that the system to collect a proportional amount of water to actual discharge operated perfectly and a total load of water quality was analyzed accurately. As the result, it was expected that the system will be very available to know the total load from a non-point source area.

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Analysis of Geological Structure of Volcanic Rock Mass in Ulleung-do using Variations of Magnetic Anomaly (자력탐사 자기이상 분석을 활용한 울릉도 화산암체 지질구조 특성 해석)

  • Kim, Ki-Beom;Kim, Man-Il
    • The Journal of Engineering Geology
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    • v.28 no.4
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    • pp.619-630
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    • 2018
  • The purpose of this study is to investigate the existence of faults and intrusive rocks in the volcanic rock mass of Ulleung-do using magnetic anomalies. The magnetic survey data show that basaltic (mafic) rocks have high magnetic anomalies and that trachytic (felsic) rocks have low magnetic anomalies, implying that the anomaly distributions can be used to distinguish between different volcanic rock types that may be covered by regolith (such as alluvial and colluvial deposits) and other sedimentary layers. Our results show that basaltic rocks are not present within the Nari caldera. However, outside the caldera, the occurrence of high magnetic anomaly values of >$1,000{\gamma}$ is presumed to reflect the existence of basaltic craters or volcanic vents that formed prior to the eruption of the trachytic rocks. In particular, the area with anomaly values of >$1,000{\gamma}$ in the vicinity of Namyang-ri, southwest of Ulleung-do, is interpreted as having a high probability of hosting a crater and vent originating from mafic volcanism.

A Study on the Type of Planting according to the Establishment and Management of the Royal Tombs of the Joseon Dynasty (조선왕릉 조성 및 관리에 따른 식재유형 고찰)

  • Kim, Eun-Kyoung;Bae, Jun-Gyu
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.37 no.1
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    • pp.33-40
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    • 2019
  • The purpose of this study is to analyze historical records of what the trees had been planted like by establishment and management of the Royal Tombs of the Joseon Dynasty so that it could be utilized for historical records to manage the trees in the Royal Tombs. The research method was to analyze the related keywords for 40 trees out of 42 trees in the Royal Tombs of the Joseon Dynasty reffering to "The Annals of the Joseon Dynasty(朝鮮王朝實錄)," and "Neungji(陵誌)". There are two types of planting called Jeongsik(定植) Bosik(補植) in the Royal Tombs. Jeongsik(定植) is a planting method by Salleungdogam(山陵都監), the office in charge of construction of the royal tomb when they were building the royal tomb. Every tree additionally planted after building up the royal tomb was called Bosik(補植). The types of tree planting the composition and management of the royal tombs of Joseon are as follows. First, the first planting for landscaping was carried out during the process of building the province. Second, after the formation of Shanung, all the plants were planted by Wangmyung as additional plants. Third, due to the deforestation in the late Joseon period, additional plants were planted in the fertile plains. Fourth, trees were damaged due to natural disasters, and trees were planted together with the construction of the botanical gardens. Fifth, in the 22nd year of King Jeongjo, all the royal families' graves were regularly planted. This study aims to investigate the history of forest landscape management for the restoration of the royal tombs of Joseon.

Monitoring on the Vegetation Structure and Dynamics of Abies Koreana Populations in Jirisan National Park (지리산국립공원 구상나무개체군의 식생구조와 동태 모니터링)

  • Chun, Young-Moon;Kim, Sang-Min;Park, Eun-Hee;Park, Sun-Hong;Lee, Ho-Young;Kim, Jin-Weon
    • Korean Journal of Environment and Ecology
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    • v.35 no.4
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    • pp.408-423
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    • 2021
  • We established and monitored survey sites in seven regions of Mt. Jiri to investigate population decline and change of the Korean fir (Abies koreana) over a ten-year period from 2009 to 2018. With the exception of one site (Seseok), the six remaining ones all showed a four-layer stratification structure. The importance value of Korean firs in all of the survey areas decreased significantly by 28.5%, from 55.7% in 2009 to 39.8% in 2018. The average population of objects with a diameter at breast height (DBH) of 5cm or more in all survey sites was 711 objects/ha in 2018, and the cumulative death rate from 2009 to 2018 was 10.8%. Among the death types, DS (dead standing) was the most dominant, comprising 82.4% of the total survey area. However, in Banyabong 1, which had a high gradient of 35°, the death types other than DS accounted for 44.2%. We estimate that A. koreana can maintain a stable population as its distribution type for each diameter class in the Saeseokpyeongjeon site showed a reverse-J shape. The average annual ring growth in all survey sites was 1.09 mm/year, with the most abundant growth observed in the Seseokpyeongjeon site, which was formed mainly by a subtree layer. The growth ring survey showed the estimated average age of A. koreana population in the Byeoksoryeong and Banyabong 1 sites to be 102 and 91 years, respectively, a general downward trend of vitality since 2013.

Collection and Exhibition of Useful Plant Resources in Myanmar (미얀마 유용식물자원 수집 및 전시 활용)

  • Ahn, TaiHyeon;Goh, YeoBin;Bae, JunKyu;Lee, JeongHo;Lee, KiCheol
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2019.10a
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    • pp.47-47
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    • 2019
  • 미얀마 Indo-Burma 지역은 13,500종의 식물종이 분포하고 있는 생물다양성 핫스팟이다. 북부 산악지역에서 남부의 망그로브 지역에 이르는 다양한 특성의 생태계로 구성되어있다. 그러나, 풍부한 생물 다양성은 인간에 의해 인위적인 간섭, 개발, 모노크림 재배와 같은 지속적인 삼림 벌채로 위협 받고 있다. Dprovidedc와 Krupnick (2018년)은 123과 472종의 미얀마 약용식물을 학명, 영명, 미얀마 식물명 그리고 미얀마 현지에서 쓰이고 있는 약용식물의 활용 및 보존 상태를 종합적으로 정리했다. 이 중 약 13%가 보존 상태에 대한 평가를 받았으며 IUCN의 멸종 위기 종 목록(IUCN2017)에 등재되었다. 비록, 전국에 다양한 식물 및 생물 다양성이 분포되어 있지만, 미얀마는 여전히 지속 가능한 관리와 사용을 위한 인적자원과 시설이 부족하다. 국립수목원(KNA)은 2013년부터 미얀마 천연자원환경보전부(MINISTRY OF NATURAL RESOURCES AND ENVIRONMENTAL CONSERVATION, MONREC)와 미얀마 산림과학원(Forest Research Institute, FRI)과 함께 미얀마 보호지역 및 Saggaing 지역 내 식물 다양성 보존을 위한 공동 현장조사, 연구 및 출판 등의 협력사업을 진행하고 있다. 또한 국립수목원(KNA)는 약용으로 가치가 있는 미얀마 식물 생체를 수집, 현지외 보전 중이며 이중 65과 326종의 식물 생체를 국립수목원(KNA)에 있는 열대식물자원연구센터에 보존과 교육 목적으로 전시 중이다. 이 기증은 미얀마에서 식물생체를 국외로 반출한 첫 번째 사례이며 국립수목원(KNA)은 2008년 독일에서 열대식물을 기증받은 사례 다음으로 두 번째로 외국 정부의 공식적인 대량 식물 도입 사례이다. 도입한 식물 중 Santalum album L. 과 Amorphopallus paeoniifolius (Dennst.) Nicolson. 은 IUCN Red List of Threated Spiences (IUCN2017)에 취약(Vulnerable, VU), 관심필요(Least Concern, LC)로 분류되어 있다. 국립수목원 (KNA)는 2019년 6월 17일 개최된 "2019 아태지역 산림주간 및 28차 아태지역 산림위원회"에 참가하여 미얀마 도입식물 전시회를 개최 하였고, 국내 최초로 Amorphopallus paeoniifolius (Dennst.) Nicolson.의 Leaf Cycle을 타임랩스 촬영하여 국립수목원 웹진(10월 호) 과 YouTube에 연구성과를 홍보하고 있다. 또한 국립수목원 열대식물자원연구센터는 2,700여종의 미얀마, 라오스 등 무한한 가치를 지닌 열대식물의 수집 보전으로 기초 응용 연구기반을 구축하여 국민들에게 열대식물의 중요성과 잠재적인 자원가치를 알리는 역할을 하고 있다.

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The initial mass loss rates and the changes in carbon/nitrogen ratio of dead woods for the three dominant tree species in tropical rainforests of Brunei Darussalam (브루나이 열대우림 내 주요 3개 수종 고사목의 초기 질량 감소율과 탄질율 변화)

  • Roh, Yujin;Jang, Minju;Son, Yowhan
    • Korean Journal of Environmental Biology
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    • v.39 no.2
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    • pp.218-224
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    • 2021
  • This study was conducted to determine the mass-loss rates and the changes in carbon/nitrogen (C/N) ratio of dead woods, which were of following species: Dryobalanops aromatic, D. rappa, and Cratoxylum arborescens. These were dominant tree species in mixed Dipterocarp forests (MDF) and peat swamp forests (PSF) in Brunei Darussalam. In May, 2019, 48 dead wood samples (15 cm×4.8 cm×5 cm) were placed in MDF and PSF sites, and all the samples were collected after 16 months. The effects of species on mass loss were statistically significant (p<0.05); however, no difference was observed in the mass loss obtained from the two forest types (p>0.05). The initial density (g·cm-3) of the dead woods D. aromatic, D. rappa, and C. arborescens, was 0.64±0.02, 0.60±0.00, and 0.44±0.01, respectively. Also the annual mass loss rate (%) was estimated to be 6.37, 8.17, and 18.53 for D. aromatic, D. rappa, and C. arborescens, respectively. The proportion of dead woods in decay class III was only 25% of C. arborescens samples, which were attacked by wood-feeding invertebrates, such as termites. The C/N ratio decreased significantly in D. aromatic and D. rappa, but the decreasing trend of C/N ratio was not statistically significant in C. arborescens. The results indicate that physical traits of dead woods, such as density, could be one of the main factors causing the decomposition of dead woods initially, as invertebrates such as termites are one of the key decomposers of dead wood in tropical rainforests. In the samples of C. arborescens, which was attacked by invertebrates, nitrogen immobilization occurred to lesser extent as compared to that observed in D. aromatic and D. rappa.

Machine Learning for Predicting Entrepreneurial Innovativeness (기계학습을 이용한 기업가적 혁신성 예측 모델에 관한 연구)

  • Chung, Doo Hee;Yun, Jin Seop;Yang, Sung Min
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.3
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    • pp.73-86
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    • 2021
  • The primary purpose of this paper is to explore the advanced models that predict entrepreneurial innovativeness most accurately. For the first time in the field of entrepreneurship research, it presents a model that predicts entrepreneurial innovativeness based on machine learning corresponding to data scientific approaches. It uses 22,099 the Global Entrepreneurship Monitor (GEM) data from 62 countries to build predictive models. Based on the data set consisting of 27 explanatory variables, it builds predictive models that are traditional statistical methods such as multiple regression analysis and machine learning models such as regression tree, random forest, XG boost, and artificial neural networks. Then, it compares the performance of each model. It uses indicators such as root mean square error (RMSE), mean analysis error (MAE) and correlation to evaluate the performance of the model. The analysis of result is that all five machine learning models perform better than traditional methods, while the best predictive performance model was XG boost. In predicting it through XG boost, the variables with high contribution are entrepreneurial opportunities and cross-term variables of market expansion, which indicates that the type of entrepreneur who wants to acquire opportunities in new markets exhibits high innovativeness.

Radiomics-based Machine Learning Approach for Quantitative Classification of Spinal Metastases in Computed Tomography (컴퓨터 단층 촬영 영상에서의 전이성 척추 종양의 정량적 분류를 위한 라디오믹스 기반의 머신러닝 기법)

  • Lee, Eun Woo;Lim, Sang Heon;Jeon, Ji Soo;Kang, Hye Won;Kim, Young Jae;Jeon, Ji Young;Kim, Kwang Gi
    • Journal of Biomedical Engineering Research
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    • v.42 no.3
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    • pp.71-79
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    • 2021
  • Currently, the naked eyes-based diagnosis of bone metastases on CT images relies on qualitative assessment. For this reason, there is a great need for a state-of-the-art approach that can assess and follow-up the bone metastases with quantitative biomarker. Radiomics can be used as a biomarker for objective lesion assessment by extracting quantitative numerical values from digital medical images. In this study, therefore, we evaluated the clinical applicability of non-invasive and objective bone metastases computer-aided diagnosis using radiomics-based biomarkers in CT. We employed a total of 21 approaches consist of three-classifiers and seven-feature selection methods to predict bone metastases and select biomarkers. We extracted three-dimensional features from the CT that three groups consisted of osteoblastic, osteolytic, and normal-healthy vertebral bodies. For evaluation, we compared the prediction results of the classifiers with the medical staff's diagnosis results. As a result of the three-class-classification performance evaluation, we demonstrated that the combination of the random forest classifier and the sequential backward selection feature selection approach reached AUC of 0.74 on average. Moreover, we confirmed that 90-percentile, kurtosis, and energy were the features that contributed high in the classification of bone metastases in this approach. We expect that selected quantitative features will be helpful as biomarkers in improving the patient's survival and quality of life.

Assessment of Future Agricultural Land Use and Climate Change Impacts on Irrigation Water Requirement Considering Greenhouse Cultivation (시설재배를 고려한 미래 농지이용 변화와 기후변화가 관개 필요수량에 미치는 영향 평가)

  • SON, Moo-Been;HAN, Dae-Young;KIM, Jin-Uk;SHIN, Hyung-Jin;LEE, Yong-Gwan;KIM, Seong-Joon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.23 no.4
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    • pp.120-139
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    • 2020
  • This study is to assess the future agricultural land use and climate change impacts on irrigation water requirement using CLUE-s(Conversion of Land Use and its Effects at Small regional extent) and RCP(Representative Concentration Pathway) 4.5 and 8.5 HadGEM3-RA(Hadley Centre Global Environmental Model version 3 Regional Atmosphere) scenario. For Nonsan city(55,517.9ha), the rice paddy, upland crop, and greenhouse cultivation were considered for agricultural land uses and DIROM(Daily Irrigation Reservoir Operation Model) was applied to benefited areas of Tapjeong reservoir (5,713.3ha) for Irrigation Water Requirement(IWR) estimation. For future land use change simulation, the CLUE-s used land uses of 2007, 2013, and 2019 from Ministry of Environment(MOE) and 6 classes(water, urban, rice paddy, upland crop, forest, and greenhouse cultivation). In 2100, the rice paddy and upland crop areas decreased 5.0% and 7.6%, and greenhouse cultivation area increased 24.7% compared to 2013. For the future climate change scenario considering agricultural land use change, the RCP 4.5 and RCP 8.5 2090s(2090~2099) IWR decreased 2.1% and 1.0% for rice paddy and upland crops, and increased 11.4% for greenhouse cultivation compared to pure application of future climate change scenario.

Changes in Leaf and Reproductive Traits of Mountain Ash (Sorbus alnifolia) as Urban Flourisher in the Seoul Metropolitan, South Korea (한국 서울 식생의 번성자로서 팥배나무의 형질 변화 양상)

  • Jung, Song-Hie;Cho, Yong-Chan;Lee, Chang-Seok
    • Korean Journal of Environment and Ecology
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    • v.35 no.6
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    • pp.644-658
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    • 2021
  • Understanding the functional traits of dominant species in urban ecosystems provides insight into species' trait adaptation and ecosystem function in response to fragmented and isolated urban vegetation and reduced biological interactions. This study compared means and variances of environmental factors (geographic, meteorological, and soil attributes) and 4 leaf traits (leaf area, specific leaf area, leaf dry mass content, and leaf shape index) and 7 reproductive traits (fruit width, fruit length, fruit shape, fruit dry weight, fruit dry matter content, seed weight, and seed ratio) measured of 40 Sorbus alnifolia individuals in four mountainous areas south of Seoul downtown, South Korea. We then performed the multivariate analysis of trait combinations. While the measured environmental factors indicated the individuality of the survey sites, the urban vegetation was drier and had a longer growth period. The leaves of S. alnifolia in the urban areas were smaller and heavier, and the fruits produced longer and lighter seeds, showing the traits affected by long urbanization. The study confirmed changes in the growth and reproduction mechanism of the S. alnifolia population under the urban environment, indicating reduced biological interaction due to vegetation fragmentation and isolation. This study provides limited but distinct ecological information about the function and persistence of key species in cities with a reduced scale of biological interactions and many negative environmental factors such as air pollution.