• Title/Summary/Keyword: Jeju area

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Prediction of groundwater level in the middle mountainous area of Pyoseon Watershed in Jeju Island using deep learning algorithm, LSTM (딥러닝 알고리즘 LSTM을 활용한 제주도 표선유역 중산간지역의 지하수위 예측)

  • Shin, Mun-Ju;Moon, Soo-Hyoung;Moon, Duk Chul
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.291-291
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    • 2020
  • 제주도는 강수의 지표침투성이 좋은 화산섬의 지질특성상 지표수의 개발이용여건이 취약한 관계로 용수의 대부분을 지하수에 의존하고 있다. 따라서 제주도는 정책 및 연구적으로 오랜 기간동안 지하수의 보전관리에 많은 노력을 기울여 오고 있다. 하지만 최근 기후변화로 인한 강수의 변동성 증가로 인해 지하수위의 변동성 또한 증가할 가능성이 있으며 따라서 지하수위의 급격한 하강에 대비하여 지하수위의 예측 및 지하수 취수량 관리의 필요성이 요구되고 있다. 지하수에 절대적으로 의존하고 있는 제주도의 수자원 이용 여건을 고려할 때, 지하수의 취수량 관리를 위한 지하수위의 실시간 예측이 필요한 실정이다. 하지만 기존의 예측방법에 의한 제주도 지하수위 예측기간은 충분히 길지 않으며 예측기간이 길어지면 예측성능이 낮아지는 문제점이 있었다. 본 연구에서는 이러한 단점을 보완하기 위해 딥러닝 알고리즘인 Long Short Term Memory(LSTM)를 활용하여 제주도 남동쪽 표선유역 중산간지역의 1개 지하수위 관측정에 대해 지하수위를 예측하고 분석하였다. R 기반의 Keras 패키지에 있는 LSTM 알고리즘을 사용하였고, 입력자료는 인근의 성판악 및 교래 강우관측소의 일단위 강수량자료와 인근 취수정의 지하수 취수량자료 및 연구대상 관측정의 지하수위 자료를 사용하였으며, 사용된 자료의 기간은 2001년 2월 11일부터 2019년 10월 31일까지 이다. 2001년부터 13년의 보정 및 3년의 검증용 시계열자료를 사용하여 매개변수의 보정 및 과적합을 방지하였고, 3년의 예측용 시계열자료를 사용하여 LSTM 알고리즘의 예측성능을 평가하였다. 목표 예측일수는 1일, 10일, 20일, 30일로 설정하였으며 보정, 검증 및 예측기간에 대한 모의결과의 평가지수로는 Nash-Sutcliffe Efficiency(NSE)를 활용하였다. 모의결과, 보정, 검증 및 예측기간에 대한 1일 예측의 NSE는 각각 0.997, 0.997, 0.993 이었고, 10일 예측의 NSE는 각각 0.993, 0.912, 0.930 이었다. 20일 예측의 경우 NSE는 각각 0.809, 0.781, 0.809 이었으며 30일 예측의 경우 각각 0.677, 0.622, 0.633 이었다. 이것은 LSTM 알고리즘에 의한 10일 예측까지는 관측 지하수위 시계열자료를 매우 적절히 모의할 수 있다는 것을 의미하며, 20일 예측 또한 적절히 모의할 수 있다는 것을 의미한다. 따라서 LSTM 알고리즘을 활용하면 본 연구대상지점에 대한 2주일 또는 3주일의 안정적인 지하수위 예보가 가능하다고 판단된다. 또한 LSTM 알고리즘을 통한 실시간 지하수위 예측은 지하수 취수량 관리에 활용할 수 있을 것이다.

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Analysis of groundwater withdrawal impact in the middle mountainous area of Pyoseon Watershed in Jeju Island using LSTM (LSTM을 활용한 제주도 표선유역 중산간지역의 지하수 취수영향 분석)

  • Shin, Mun-Ju;Moon, Soo-Hyoung;Moon, Duk-Chul;Koh, Hyuk-Joon;Kang, Kyung Goo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.267-267
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    • 2021
  • 제주도는 화산섬의 지질특성상 강수의 지표침투성이 높아 지표수의 개발이용여건이 취약한 관계로 용수의 대부분을 지하수에 의존하고 있다. 따라서 지하수의 보전관리는 매우 중요한 사항이며 특히 지하수의 안정적인 이용을 위해서는 지하수 취수가 주변지역 지하수위에 미치는 영향 분석이 반드시 필요하다. 본 연구는 딥러닝 알고리즘인 Long Short-Term Memory(LSTM)를 활용하여 제주도 남동쪽 표선유역 중산간지역에 위치한 2개 지하수위 관측정을 대상으로 지하수 취수영향을 분석하였다. 입력자료로써 인근 2개 강우관측소의 일단위 강수량자료와 인근 6개 취수정의 지하수 취수량자료 및 연구대상 관측정의 지하수위 자료(2001. 2. 11. ~ 2019. 10. 31.)를 사용하였다. 지하수위 변동특성을 최대한 반영하기 위해 LSTM의 예측일수를 1일로 설정하였다. 보정 및 검증 기간을 사용하여 매개변수의 과적합을 방지하였으며, 테스트 기간을 사용하여 LSTM의 예측성능을 평가하였다. 평가지수로써 Nash-Sutcliffe Efficiency(NSE)와 평균제곱근오차(RMSE)를 사용하였다. 그리고 지하수 취수가 주변 지하수위 변동에 미치는 영향을 분석하기 위해 취수량을 최대취수량인 2,300 m3/일, 최대취수량의 2/3인 1,533 m3/일 및 0 m3/일로 설정하여 모의하였다. 모의결과, 2개 감시정의 보정, 검증 및 예측기간에 대한 NSE는 최대 0.999, 최소 0.976의 범위를 보였으며, RMSE는 최대 0.494 m, 최소 0.084 m를 보여 LSTM은 우수한 예측성능을 나타내었다. 이것은 LSTM이 지하수위 변동특성을 적절히 학습하였다는 것을 의미하며 따라서 추정된 매개변수를 활용하여 지하수 취수영향을 모의 및 분석하였다. 그 결과, 지하수위 하강량은 최대 0.38 m 였으며 이것은 대상지점에 대한 취수량은 지하수위 하강에 거의 영향을 주지 않는다는 것을 의미한다. 또한 취수량과 지하수위 하강량과의 관계는 한 개 관측정에 대해 선형적인 관계를 보인 반면 나머지 한 개 관측정에 대해서는 비선형적인 관계를 나타내는 것을 확인하였다. 따라서 LSTM 알고리즘을 활용하여 제주도 표선유역 중산간지역의 지하수위 변동특성을 분석할 수 있다.

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The Effects of Non Verbal Communication of Restaurant Employees on Customer Emotion, Customer Satisfaction, Customer Trust, and Revisit Intention (외식업 직원의 비언어적 커뮤니케이션이 고객감정, 고객만족, 고객신뢰 그리고 재방문의도에 미치는 영향)

  • Kim, Bo-Yeong;Jun, Jae-Hyeon;Han, Sang-Ho
    • The Korean Journal of Franchise Management
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    • v.9 no.3
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    • pp.45-55
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    • 2018
  • Purpose - Non-verbal Communication with customers in restaurant business can play an important role because it affects customer behavior and attitudes as a means to develop and maintain long-term relationships with customers. The purpose of this study is to analyze the effect of non-verbal communication with customers and the effect of the influence on customer satisfaction, trust, and revisit intention. Research design, data, methodology - In order to verify the research models and hypotheses of this study, questions were prepared for each variable and data were collected through questionnaires. The questionnaire survey was conducted from March 27, 2018 to April 17, 2018, for those who agreed with the citizens of the Jeju area who visited the restaurant recently. 50 out of 100 were conducted by internet survey and 50 were surveyed. Thus, a total of 100 responses were used using structural equation modeling with Smartpls 3.0. Results - The results of the study are as follows. First, non-verbal communication has a significant impact on customer emotion. Second customer emotion have a significant impact on customer trust and satisfaction. Third, Customer satisfaction had positive a significant effect on revisit intention. Fourth, Customer trust had positive a significant effect on revisit intention. Conclusions - The implications of this study are following as: The food service company should continuously provide non-verbal communication training to employees so that they can respond to customers with the right attitude and bright smile. In particular, in the case of restaurant franchises, customer response manuals should be created and distributed to the franchisees, and a regular training program for the franchisees should be implemented to provide the same service to the customer. Second, CEOs should have to worry about what kind of experience he or she has left since leaving the store. It is also necessary to constantly look at what customers experience in their stores or in their brands, and what emotions they form through their experiences. Third, the more satisfied or trusted customers are formed through the service of the employee, the more loyal the restaurant business will be, and the more likely it is to make continuous revisit and positive word-of-mouth activities..

Estimation of Economic Benefits Based on Appropriate Allocation of Emergency Medical Beds by Region in South Korea (지역별 응급의료병상 적정 분배에 따른 경제적 편익 추정)

  • Jeong Min Yang;Min Soo Kim;Jae Hyun Kim
    • Health Policy and Management
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    • v.34 no.1
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    • pp.17-25
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    • 2024
  • Background: This study aimed to assess the appropriate allocation of emergency medical beds across 17 provinces and presume the economic benefits associated with such allocation. Methods: To estimate the optimal allocation of emergency medical beds by province, data from the Statistics Korea's "cause of death statistics (2014-2021)," regional statistics on "area, population, gender, age," and "population projections" were utilized. The "number of emergency beds by city and district" provided by the Health Insurance Review and Assessment Service was also used. In estimating the economic benefits of preventing avoidable emergency deaths due to the expansion of emergency medical facilities, guidelines from the Korea Development Institute and the Korea Transport Institute were referenced to calculate the wage loss costs associated with emergency deaths and estimate the economic benefits. Results: The optimal ratio of emergency medical beds allocation by region was highest in Gyeonggi, Seoul, Gyeongnam, Gyeongbuk, and Busan, while Daejeon, Jeju, and Sejong showed lower ratios. Additionally, the prevention of avoidable deaths and economic benefits resulting from the increase in emergency medical facilities were highest in Gyeonggi, Seoul, Gyeongbuk, Gyeongnam, and Busan. However, when standardized by population, the prevention of avoidable deaths and economic benefits were analyzed to be highest in Gyeongbuk, Chungnam, Jeonnam, Gyeongnam, and Busan. Conclusion: The results of this study can serve as foundational data for future policy measures aimed at addressing the imbalance in the supply of emergency medical facilities across regions. Considering regional characteristics in the distribution of emergency medical facilities is expected to ultimately increase the efficiency of national finances and yield economic benefits.

Submarine Discharge of Fresh Groundwater Through the Coastal Area of Korea Peninsula: Importance as a Future Water Resource (한반도 주변 연안 해저를 통한 담지하수의 유출: 미래 수자원으로서의 중요성)

  • Hwang, Dong-Woon;Kim, Gue-Buem;Lee, Jae-Young
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.15 no.4
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    • pp.192-202
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    • 2010
  • Submarine groundwater discharge (SGD) has been recognized as a provider for freshwater, nutrients, and dissolved constituents from continents to the oceans and paid more attention with regard to the mass balance of water or dissolved constituents on local and global scales. The submarine discharge of fresh groundwater (fresh SGD) through seepage or springs in coastal ocean may be especially important in aspects of water resource and marine environment managements in the future. Based on the worldwide compilations of observed fresh SGD, our review reveals that fresh SGD occurs in various marine environments along most shoreline of the world and the global estimates of fresh SGD were approximately 0.01-17% of surface runoff. In addition, the input of fresh SGD calculated and investigated in this study were about 50%, 57%, 89%, and 420% of total river discharge in Jeju Island, Yeongil Bay, Masan Bay, and Yeoja Bay, respectively. These inputs from fresh SGD along the shoreline of Korea Peninsula are much higher than those of the whole world, greatly vary with the region. However, since these estimates are based on the water balance method mainly used in coastal ocean, we have to perform continuous monitoring of various parameters, such as precipitation, tide, evapotanspiration and water residence time, which have an impact on the water balance in a lot of areas for evaluating the precise input of fresh SGD. In addition, since the method estimating the input of fresh SGD has brought up many problems, it is required to make an intercomparison between various methods such as hydrogeological assumption, numerical modeling, and seepage meter.

Using Fuzzy Set-Quality Comparative Analysis (fsQCA) to Explore the Factors Influencing on the Hindrance to Tourist Resident's Quality of Life (퍼지셋 질적 비교 분석(fsQCA)을 활용한 관광지 거주민들의 삶의 질 저하에 영향을 미치는 요인 연구 )

  • Hyunae Lee;Hee Chung Chung;Juyeon Ham;Namho Chung
    • Information Systems Review
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    • v.21 no.1
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    • pp.113-133
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    • 2019
  • Gentrification, caused by residents who are being forced out due to the rise of rent with vitalization by an excessive increase of city tourists and Touristification, meaning of phenomenon of residents' migration caused by residential area turning into tourist attraction have recently pointed out as a global problem. In Korea, the phenomenon such as environmental pollution, the rise of land value and rent, and the weakening of community culture in Jeju island and Bukchon Hanok Village has appeared as well. This phenomenon has become a serious problem by hindering resident's quality of life. In this circumstance, Smart tourism city has been regarded as a solution of these problems. Hence, this study chose Busan city, which has been designated as a smart city since 2015, and examined the complex impacts of the economic benefits, social costs, environmental substantiality, cultural benefits, and technical effects derived from tourism development on the residents' deteriorated quality of life based on Fuzzy-set Qualitative Analysis (fsQCA). As a result, three patterns of the hindrance to residents' quality of life were derived. If social costs of tourism development are perceived to be large, the residents perceive deteriorated quality of life, even if they recognize essential benefits (technological and economic benefits) (Pattern #1) or secondary benefits (environmental and cultural benefits) (Pattern #2) of tourism development. In addition, some residents were found not to recognize any benefits of tourism development (Pattern #3).

The Habitat Classification of mammals in Korea based on the National Ecosystem Survey (전국자연환경조사를 활용한 포유류 서식지 유형의 분류)

  • Lee, Hwajin;Ha, Jeongwook;Cha, Jinyeol;Lee, Junghyo;Yoon, Heenam;Chung, Chulun;Oh, Hongshik;Bae, Soyeon
    • Journal of Environmental Impact Assessment
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    • v.26 no.2
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    • pp.160-170
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    • 2017
  • The purpose of this study is to perform clustering of the habitat types and to identify the characteristics of species in the habitat types using mammal data (70,562) of the 3rd National Ecosystem Survey conducted from 2006 to 2012. The 15 habitat types recorded in the field-paper of the 3rd National ecosystem survey were reclassified, which was followed by the statistical analysis of mammal habitat types. In the habitat types cluster analysis, non-hierarchical cluster analysis (k-means cluster analysis), hierarchical cluster analysis, and non-metric multidimensional scaling method were applied to 14 habitat types recorded more than 30 times. A total of 7 Orders, 16 Families, and 39 Species of mammals were identified in the 3rd National Ecosystem Survey collected nationwide. When 11 clusters were classified by habitat types, the simple structure index was the highest (ssi = 0.07). As a result of the similarities and hierarchies between habitat types suggested by the hierarchical clustering analysis, the residential areas were the most different habitat types for mammals; the next following type was a cluster together with rivers and coasts. The results of the non-metric multidimensional scaling analysis demonstrated that both Mus musculus and Rattus norvegicus restrictively appeared in a residential area, which is the most discriminating habitat type. Lutra lutra restrictively appeared in coastal and river areas. In summary, according to our results, the mammalian habitat can be divided into the following four types: (1) the forest type (using forest as the main habitat and migration route); (2) the river type (using water as the main habitat); (3) the residence habitat (living near residential area); and (4) the lowland type (consuming grain or seeds as the main feeding resource).

Koreanized Analysis System Development for Groundwater Flow Interpretation (지하수유동해석을 위한 한국형 분석시스템의 개발)

  • Choi, Yun-Yeong
    • Journal of the Korean Society of Hazard Mitigation
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    • v.3 no.3 s.10
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    • pp.151-163
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    • 2003
  • In this study, the algorithm of groundwater flow process was established for koreanized groundwater program development dealing with the geographic and geologic conditions of the aquifer have dynamic behaviour in groundwater flow system. All the input data settings of the 3-DFM model which is developed in this study are organized in Korean, and the model contains help function for each input data. Thus, it is designed to get detailed information about each input parameter when the mouse pointer is placed on the corresponding input parameter. This model also is designed to easily specify the geologic boundary condition for each stratum or initial head data in the work sheet. In addition, this model is designed to display boxes for input parameter writing for each analysis condition so that the setting for each parameter is not so complicated as existing MODFLOW is when steady and unsteady flow analysis are performed as well as the analysis for the characteristics of each stratum. Descriptions for input data are displayed on the right side of the window while the analysis results are displayed on the left side as well as the TXT file for this results is available to see. The model developed in this study is a numerical model using finite differential method, and the applicability of the model was examined by comparing and analyzing observed and simulated groundwater heads computed by the application of real recharge amount and the estimation of parameters. The 3-DFM model is applied in this study to Sehwa-ri, and Songdang-ri area, Jeju, Korea for analysis of groundwater flow system according to pumping, and obtained the results that the observed and computed groundwater head were almost in accordance with each other showing the range of 0.03 - 0.07 error percent. It is analyzed that the groundwater flow distributed evenly from Nopen-orum and Munseogi-orum to Wolang-bong, Yongnuni-orum, and Songja-bong through the computation of equipotentials and velocity vector using the analysis result of simulation which was performed before the pumping started in the study area. These analysis results show the accordance with MODFLOW's.

Growth and Fresh Bulb Weight Model in Harvest Time of Southern Type Garlic Var. 'Namdo' based on Temperature (온도에 따른 난지형 마늘 '남도'의 생육과 수확기 구생체중 모델 개발)

  • Wi, Seung Hwan;Moon, Kyung Hwan;Song, Eun Young;Son, In Chang;Oh, Soon Ja;Cho, Young Yeol
    • Journal of Bio-Environment Control
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    • v.26 no.1
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    • pp.13-18
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    • 2017
  • This study was conducted to investigate optimal temperature of garlic and develop bulb weight model in harvest time. Day and night temperature in chambers was set to $11/7^{\circ}C$, $14/10^{\circ}C$, $17/12^{\circ}C$, $20/15^{\circ}C$, $23/18^{\circ}C$, $28/23^{\circ}C$(16/8h). Bulb fresh and dry weight was heaviest on $20/15^{\circ}C$. In $11/7^{\circ}C$ and $14/10^{\circ}C$, leaf number and total leaf area increased slowly. But in the harvest, leaf number and total leaf area were not significant, except $28/23^{\circ}C$. Models were developed with fresh bulb weight. As a result of analyzing the model, $18{\sim}20^{\circ}C$ certified optimal mean temperature. And the growing degree day base temperature estimated $7.1^{\circ}C$, upper temperature threshold estimated $31.7^{\circ}C$. To verify the model, mean temperature on temperature gradient tunnel applied to the growth rate model. Lineal function model, quadric model, and logistic distribution model showed 79.0~95.0%, 77.2~92.3% and 85.0~95.8% accuracy, respectively. Logistic distribution model has the highest accuracy and good for explaining moderate temperature, growing degree day base temperature and upper temperature threshold.

Distribution and Sources of Pb in Southern East/Japan Sea Sediments using Pb isotopes (동해 남부 해역 퇴적물에서 Pb동위원소를 이용한 Pb의 기원 추적 연구)

  • Choi Man Sik;Cheong Chang-Sik;Han Jeong Hee;Park Kye-Hun
    • Economic and Environmental Geology
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    • v.39 no.1 s.176
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    • pp.63-74
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    • 2006
  • In order to identify the Pb pollution and its sources in continental shelf and slope areas, Pb concentration and Pb isotope ratios ($^{207}Pb/^{206}Pb\;and\;^{208}Pb/^{206}Pb$) were determined far 6 box corer sediments collected from the southern East/japan Sea. Pb concentration, and $^{207}Pb/^{206}Pb\;and\;^{208}Pb/^{206}Pb$ ratios were constant at around $25\pm5 ppm$ and 0.842 and 2.092 from 1700 to 1930 year, respectively and increased steadily up to $40\pm5 ppm$ and 0.867 and 2.123 at the beginning of 1990s', respectively. The increase of concentration and isotope ratios in the labile fraction (leached by 2M HC1+0.5M $HNO_3$) explains their increase in bulk sediments, while Pb concentration and isotope ratios in the residual fraction were nearly constant during 300yrs. Temporal variation of Pb isotope ratios was explained by simple two end-members mixing of geo-genic and anthropogenic sources because isotope ratios and the inverse of Pb concentration showed the good linear relationships. Using Pb isotope ratios, we can constrain two Pb sources in the study area. The one is atmospheric particulates, compared with mean values of isotope ratios in atmospheric particulates collected at Jeju and Oki ;stands, based on the history of Pb emmission in Korea and China, and judged by oceanographic processes capable of homogenizing many sources. The other is local sources related to iron mills, refineries of Pb ore and of petroleum located at the coast of the study area. Isotope ratios of anthropogenic Pb can be estimated using two end-members mixing equation and were $0.879\pm0.005\;and\;2.144\pm0.008$ before 1950s' while they increased up to $0.900\pm0.008\;and\;2.162\pm0.011$ after 1980s', respectively.