• Title/Summary/Keyword: Korea Water Cluster

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Burden of Disease Attributable to Inadequate Drinking Water, Sanitation, and Hygiene in Korea

  • Kim, Jong-Hun;Cheong, Hae-Kwan;Jeon, Byoung-Hak
    • Journal of Korean Medical Science
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    • v.33 no.46
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    • pp.288.1-288.12
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    • 2018
  • Background: Diarrheal and intestinal infectious disease caused by inadequate drinking water, sanitation, and hygiene (WASH) is not only a great concern in developing countries but also a problem in low-income populations and rural areas in developed countries. In this study, we assessed the exposure to inadequate WASH in Korea and estimated the burden of disease attributable to inadequate WASH. Methods: We used observational data on water supply, drinking water, sewage treatment rate, and hand washing to assess inadequate WASH conditions in Korea, and estimated the level of exposure in the entire population. The disease burden was estimated by applying the cause of death data from death registry and the morbidity data from the national health insurance to the population attributable fraction (PAF) for the disease caused by inappropriate WASH. Results: In 2013, 1.4% of the population were exposed to inadequate drinking water, and 1.0% were living in areas where sewerage was not connected. The frequency of handwashing with soap after contact with excreta was 23.5%. The PAF due to inadequate WASH as a cluster of risk factors was 0.353 (95% confidence interval [CI], 0.275-0.417), among which over 90% were attributable to hand hygiene factors that were significantly worse than those in American and European high-income countries. Conclusion: The level of hand hygiene in Korea has yet to be improved to the extent that it shows a significant difference compared to other high-income countries. Therefore, improving the current situation in Korea requires a continuous hand washing campaign and a program aimed at all people. In addition, continuous policy intervention for improvement of sewage treatment facilities in rural areas is required, and water quality control monitoring should be continuously carried out.

Study of Rainfall Quantile Estimation using Cluster Analysis and Regional Frequency Analysis (군집분석과 지역빈도해석을 이용한 확률강우량 추정에 대한 연구)

  • Jung, Young-Hun;Jeong, Chang-Sam;Nam, Woo-Sung;Heo, Jun-Haeng
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.288-291
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    • 2010
  • 본 연구에서는 한강유역 109개 지점의 강우관측소에서 관측된 지속기간별 연최대강우량을 산정하고 지역빈도해석을 적용하기 위하여 한강유역에 대하여 지역구분을 실시하였다. 지역구분은 군집분석 방법인 Ward 방법, 평균연결법, Fuzzy-c means 방법, Two-Step 방법을 적용하였으며 군집분석을 수행하기 위해서 한강유역의 지점별 기상학적 인자와 지형학적 인자를 이용하여 군집분석을 수행하였다. 그 중 Fuzzy-c means 방법을 이용한 지역구분이 적합한 것으로 나타났다. 또한 모든 지속기간에 대하여 적합성 척도를 산정한 결과 GLO 분포형이 적정분포형으로 나타났으며, 지역빈도해석 방법인 지수홍수법을 이용하여 산정한 확률강우량과 지점빈도해석으로 산정한 확률강우량과 비교하여 적용성을 판단하였다.

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The Analysis of Flood Hydrograph Responce according to Spatial Advection Characteristics of Rainfall Cluster (강우클러스터의 이류특성에 따른 홍수유출수문곡선 반응해석)

  • Kang, Boo-Sik;Moon, Su-Jin;Kim, Jin-Gyeom;Kim, Jong-Min
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.949-949
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    • 2012
  • 유출수문곡선은 강우량, 강우강도, 강우지속시간, 강우이동방향 및 이동속도와 같은 강우발생특성과 강수대의 공간적 이류방향과 유역형상과의 상호작용에 의하여 영향을 받으며, 특히 강우의 이류과정에서 나타나는 시간적, 공간적인 분포는 유출에 영향을 미치는 중요한 인자이다. 일반적으로 유출해석 기본이론은 연속방정식과 운동방정식으로서 운동파가정(kinematic wave analogy)을 기반으로 한 집중수문모형(lumped hydrologic model)에 의하여 수행되고 있지만 집중형 모형은 한 매개변수에 여러 가지의 물리적 과정을 개념화하여 담고 있기 때문에 유출과정에 대한 섬세한 모형화의 제약으로 인하여 강우의 이류과정에 따른 유출변화특성을 모의하기가 어렵다. 본 연구에서는 완전 분포형 수문동력학적 강우-유출 모형을 사용하여 강우의 이류특성을 반영할 수 있는 유출 모델을 구성하고, 강우의 이류특성에 따른 유역 출구에서의 유출수문곡선의 변화과정을 살펴보고 상관관계를 분석하였다.

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MA : Multiple Acknowledgement Mechanism for UWSN (UnderWater Sensor Network)

  • Shin, Soo-Young;Lee, Seung-Joo;Park, Soo-Hyun
    • Journal of Korea Multimedia Society
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    • v.12 no.12
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    • pp.1769-1777
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    • 2009
  • With the advent of the ubiquitous technology age, the progress of network technology has enabled a robust sensor communication, not just in cities, but also in poor surroundings such as deserts, polar regions, or underwater environments. In this paper, we propose a Multiple Acknowledgement (MA) technique to replace the conventional Automatic Repeat request (ARQ) technique. The MA mechanism is to send an Ack to many receivers simultaneously. The CH (master, coordinator) of the unit cluster broadcasts a Beacon frame where Ack information of the previously transmitted data is included. This technique can reduce the number of transmissions and overhead significantly. The proposed technique is a scheme improving the efficiency of an underwater sensor network where the uplink data transmission is the mainstream. The Performance of the ARQ, Block Ack, Pervasive Block Ack and the proposed method were compared with one another and analyzed. The proposed method showed significant performance improvement as compared with the ARQ, BA, and PBA in its channel efficiency.

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Cluster Analysis of Snowfall Observatory Using K-means Algorithm (K-평균 알고리즘을 이용한 적설관측소 군집분석)

  • Lee, Munseok;Chung, Gunhui
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.412-412
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    • 2018
  • 최근 지구온난화의 영향으로 겨울철 한파를 야기하는 일이 잦아지고 있다. 우리나라에도 그 영향으로 매년 겨울 한파가 지속되고 있다. 그러므로 겨울철 적설량을 기록하고 갑작스러운 재난에 대비하는 것은 지구온난화의 또 다른 숙제가 되었다. 우리나라는 전통적으로 폭설 피해가 크지 않았기 때문에 적설관측소의 수가 강우관측소에 비해 현저히 적다. 그리하여 추가적인 적설관측소의 설치가 필요하다고 판단되지만, 이에 앞서 우리나라의 현재 적설관측소의 분포현황을 분석하였다. 1월, 2월, 12월의 최대 최심신적설량과 관측소 고도자료를 K-평균 알고리즘의 4개의 변수로 사용하였으며, 전국에서 총 94개의 적설관측소를 자료보유기간으로 분류하여 군집분석을 수행하였다. 군집분석 결과 서해안지역, 태백 소백산맥을 따라 존재하는 내륙산악지역, 경상도와 남해안 그리고 제주도지역, 울릉도와 대관령으로 군집이 형성되었다. 또한, 제주도의 적설관측소가 해안가 위주로 설치되어있어, 비교적 눈이 많이 오는 한라산 산간지역에 추가적인 적설관측소 설치가 고려되어야 할 것이다.

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Synthesis and Characterization of Yttrium-doped Core-Shell SiO2 Nanoparticles by Reverse Micelle and Sol-gel Processing

  • Kim, Jun-Seop;Chu, Min-Cheol;Cho, Seong-Jai;Bae, Dong-Sik
    • Journal of the Korean Ceramic Society
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    • v.45 no.9
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    • pp.512-517
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    • 2008
  • In this study, yttrium-doped $SiO_2$ nanoparticles are synthesized using a reverse micelle technique combined with metal alkoxide hydrolysis and condensation. Spherical Y-doped $SiO_2$ nanoparticles with a uniform size distribution are prepared using selfassembly molecules in conjunction with the hydrolysis and condensation of organometallic precursors. The water/surfactant molar ratio influenced the Y-doped $SiO_2$ particles distribution of the core-shell composite particles and the distribution of Y doped $SiO_2$ particles was broadened as the water to surfactant ratio increased. The particle size of Y increase linearly as the $Y(NO_3)_3$ solution concentration increased. The average size of the cluster was found to depend on the micelle size, the nature of the solvent, and the concentration of the reagent. The effects of synthesis parameters, such as the molar ratio of water to surfactant and the molar ratio of water to TEOS, are discussed.

Pattern Recognition of Meteorological fields Using Self-Organizing Map (SOM)

  • Nishiyama Koji;Endo Shinichi;Jinno Kenji
    • Proceedings of the Korea Water Resources Association Conference
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    • 2005.05b
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    • pp.9-18
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    • 2005
  • In order to systematically and visually understand well-known but qualitative and rotatively complicated relationships between synoptic fields in the BAIU season and heavy rainfall events in Japan, these synoptic fields were classified using the Self-Organizing Map (SOM) algorithm. This algorithm can convert complex nonlinear features into simple two-dimensional relationships, and was followed by the application of the clustering techniques of the U-matrix and the K-means. It was assumed that the meteorological field patterns be simply expressed by the spatial distribution of wind components at the 850 hPa level and Precipitable Water (PW) in the southwestern area including Kyushu in Japan. Consequently, the synoptic fields could be divided into eight kinds of patterns (clusters). One of the clusters has the notable spatial feature represented by high PW accompanied by strong wind components known as Low-Level Jet (LLJ). The features of this cluster indicate a typical meteorological field pattern that frequently causes disastrous heavy rainfall in Kyushu in the rainy season. From these results, the SOM technique may be an effective tool for the classification of complicated non-linear synoptic fields.

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Biotope Analysis of the Total Benthic Foraminiferal Assemblage off the Southeastern Coast, Korea (한국남동해 저서유공충의 생물장)

  • 장순권
    • 한국해양학회지
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    • v.21 no.3
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    • pp.136-145
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    • 1986
  • Biotope analysis(UPGM) of the data on the total benthic foraminferal assemblage (Kim and Han, 1982) collected from the southeastern sea off the Korean Peninsula shows that foraminiferal assemblages are related to the water masses prevailing in the study area. South Proper facies is governed by the Tsushima Warm Current, and Southern Deep facies is influenced by the cold water mass moved down along the bottom. Northern Nearshore facies is governed by the North Korea Cold Current, and North Proper facies is affected by the North Korea Cold Current and Japan Sea Proper Water. It is also evident that the upper part of the study area is under the influence of the North Korea Cold Current rather than the East Korea Warm Current which flows northward along/or off the right side of the study area. Planktonic foraminiferal occurrence also supports this biotope analysis.

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The Classification of Spatial Patterns Considering Formation Parameters of Urban Climate - The case of Changwon city, South Korea - (도시기후 형성 요소를 고려한 공간유형 분류 -창원시를 대상으로 -)

  • Song, Bonggeun;Park, Kyunghun
    • Journal of Environmental Impact Assessment
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    • v.20 no.3
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    • pp.299-311
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    • 2011
  • The objective of this paper is to present a methodology for the classification of spatial patterns considering the parameters of urban form which play a significant role in the formation of the urban climate. The urban morphological parameters, i.e. building coverage, impervious pavement, vegetation, water, farmland and landuse types were used to classify the spatial patterns by a K-means cluster analysis. And the presented methodology was applied on Changwon city, South Korea. According to the results of cluster analysis, the total spatial patterns were classified as 24 patterns. First of all, The spatial patterns(A-1, A-2, A-3, B-1, B-2, B-3, C-1, C-2, C-3, D-1, D-2, D-3, E-1, E-2, E-3, F-1, F-2, F-3, G-1, G-2, G-3), which distributed in the rural area and the suburban area, can have the positive impacts of cold air generation and wind corridor on an urban climate environment, were distributed in the rural area. On the other hand, the spatial patterns of the downtown area including A-4, B-4, C-4 and D-4 are expected to have the negative impacts on urban climate owing to the of artificial heat emission or the wind flow obstruction. Finally, it will require the future research to analysis the climatic properties according to the same spatial patterns by the field survey.

The Application of the Poisson Cluster Rainfall Generation Model to the Flood Analysis (포아송 클러스터 강우생성 모형의 홍수 모의 적용성 평가)

  • Kim, Dongkyun;Shin, Ji Yae;Lee, Seung-Oh;Kim, Tae-Woong
    • Journal of Korea Water Resources Association
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    • v.46 no.5
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    • pp.439-447
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    • 2013
  • The applicability of the parameter map of the Modified Bartlett-Lewis Rectangular Pulse (MBLRP) model for the Korean Peninsula was assessed from the perspective of flood prediction. The design rainfalls estimated from the MBLRP model were smaller than those from observed values by 5% to 40%, and the degree of underestimation of design rainfall increases with the increase of the recurrence interval of the design rainfall. The design floods at a virtual watershed estimated using the simulated rainfall time series based on MBLRP model were also smaller than those derived from the observed rainfall time series by 20% to 45%. The degree of underestimation of design flood increases with the increase of the recurrence interval of the design flood.