• Title/Summary/Keyword: water status

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Pathophysiology and management of disorders in water metabolism (수분 대사 장애 질환의 병태 생리와 치료)

  • Kim, Dong Un
    • Clinical and Experimental Pediatrics
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    • v.50 no.5
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    • pp.430-435
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    • 2007
  • Even though we drink and excrete water without recognition, the amount and the composition of body fluid remain constant everyday. Maintenance of a normal osmolality is under the control of water balance which is regulated by vasopressin despite sodium concentration is the dominant determinant of plasma osmolality. The increased plasma osmolality (hypernatremia) can be normalized by the concentration of urine, which is the other way of gaining free water than drinking water, while the low plasma osmolality (hyponatremia) can be normalized by the dilution of urine which is the only regulated way of free water excretion. On the other hand, volume status depends on the control of sodium balance which is regulated mainly by renin-angiotensin-aldosterone system, through which volume depletion can be restored by enhancing sodium retention and concomitant water reabsorption. This review focuses on the urine concentration and dilution mechanism mediated by vasopressin and the associated disorders; diabetes insipidus and syndrome of inappropriate antidiuretic hormone secretion.

Classification of Water Facility Inventories for the Construction of Water Supply Asset Management System (상수도 자산관리 시스템 구축을 위한 정수시설 인벤토리 분류)

  • Kim, Jinkeun;Lee, Junghoon
    • Journal of Korean Society of Water and Wastewater
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    • v.29 no.6
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    • pp.651-657
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    • 2015
  • Recently, the need for asset management(AM) plan introduction to reduce increasing O&M cost with aging water facilities is on the rise. Therefore, asset inventory classification is necessary as the first step for AM plan construction. In this study, all assets of YW water treatment plant(WTP) were classified as 5 steps. In addition, specific code name was given to each asset which can increase compatibility in constructing the AM programs among WTPs. In the future, codes for attribute and status of asset will be allocated, which can facilitate proper AM operation.

Status of Water Pollution of Gyeongan River, Korea (경안천의 오염현황)

  • Yi, Dong-Seok;Park, Kap-Song
    • Journal of Korean Society on Water Environment
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    • v.20 no.6
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    • pp.698-702
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    • 2004
  • At five stations in Gyeongan River, a tributary of Lake Paldang, physicochemical and biological environmental factors of water, particulate matters, and sediments were investigated biweekly from April 11 to December 22 in 2001. The studied area was characterized as a stream-lake system. The system is primarily referred to a place where the environmental factors had considerably changed depending on the amount of precipitation. As a result, the river turned out to be strongly eutrophicated. Also, some characteristics of the water and the particulate matters at midstream such as average concentrations of conductivity, nutrients, and chlorophyll $\alpha$ were higher than the characteristics of up and down-stream. However, the concentrations of organic matters and ratio of clay and silt of the midstream were determined to be higher than up and down-stream sediments. As the result of the factor analysis, 4 major different patterns for environmental factors are found from samples of water, particulate matters, and sediments.

Repeated Use of Irrigation Water for Paddy Fields in Jedae Cheon Basin (堤大川 流域 畓用水의 反復利用)

  • Ahn, Se-Young;Lee, Keun-Hoo
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.33 no.3
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    • pp.63-72
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    • 1991
  • To investigate the status of repeated use of irrigation water observations of irrigation water were made on dry days during the irrigation periods in 1986 and 1987 crop year. The total area of studied site is 1,441 ha. The site is a major portion of Jedaecheon basin which is located in Bubuk-myeon, Miryang-gun, Gyeongnam Province. The studied area was subdivided into six small blocks. The inflow and outflow of daily irrigation water for these subdivided blocks were checked. Obtained results are as follows : 1. The over all possible ratio of the repeated use of irrigation water in studied area was 48.3%, which means that approximately one half of the surface flow was possible to be repeatedly used as irrigation water in this area. 2. The ratio of repeated use of irrigation water in sloppy paddy area was 4.29%, whereas, the ratio was 21.97% in the plain area. The average figure of this ratio over studied area was estimated as 17.43%.

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Prediction of Water Quality of Youngwol Multipurpose Dam Using FEMWASP (FEMWASP 모형을 이용한 영월 다목적댐의 장래 수질 예측)

  • Kim, Joon Hyun;Han, Young Han
    • Journal of Industrial Technology
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    • v.18
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    • pp.443-452
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    • 1998
  • The future water quality of Youngwol Dam was predicted using FEMWASP. In the this study, point and non-point source in the basin was investigated in detail, and future pollutant loading was computed by various prediction technique. The water quality of 29 sites was analyzed over four seasons. FEMWASP was used to predict future water quality of Youngwol lake and downstream of proposed dam. Future water quality of Youngwol lake was predicted to configure eutrophication status, management criteria was suggested to minimize the pollution problems coming from future eutrophication. Discharge rate of dam was decided as 30CMS to conserve the water quality, and overall design of dam was changed.

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A Study on International Trade of Water Transport Service using Social Network Analysis (소셜네트워크분석(SNA)을 활용한 수상운송서비스 무역 네트워크 분석 연구)

  • Seon-youl Park
    • Korea Trade Review
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    • v.47 no.3
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    • pp.75-92
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    • 2022
  • This study aims to analyze the International trade network of Water transport service using Social Network Analysis for defining the status of Korean Water transport industry. This study use World Input-Output Table of Asian Development Bank from 2000 to 2020 and build the International trade matrix of Water transport service from that. Therefore, this study analyze Out-degree centrality, In-degree centrality and betweenness centrality of Korea and other main countries in the matrix of World Water transport industry. As a result, Korea rank above 10th in the all centralities and the total output also rank 8th in the world, therefore, this study show the importance of Korean Water transport industry in the world. However, Singapore has the highest centrality in the world, even though China has the largest Total output among 63 countries.

Classification of Major Reservoirs Based on Water Quality and Changes in Their Trophic Status in South Korea (수질 특성에 따른 우리나라 주요 호소 분류 및 호소 영양 상태 변동 특성 분석)

  • Dae-Seong Lee;Da-Yeong Lee;Young-Seuk Park
    • Korean Journal of Ecology and Environment
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    • v.55 no.2
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    • pp.156-166
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    • 2022
  • Understanding the characteristics of reservoir water quality is fundamental in reservoir ecosystem management. The water quality of reservoirs is affected by various factors including hydro-morphology of reservoirs, land use/cover, and human activities in their catchments. In this study, we classified 83 major reservoirs in South Korea based on nine physicochemical factors (pH, dissolved oxygen, chemical oxygen demand, total suspended solid, total nitrogen, total phosphorus, total organic carbon, electric conductivity, and chlorophyll-a) measured for five years (2015~2019). Study reservoirs were classified into five main clusters through hierarchical cluster analysis. Each cluster reflected differences in the water quality of reservoirs as well as hydromorphological variables such as elevation, catchment area, full water level, and full storage. In particular, water quality condition was low at a low elevation with large reservoirs representing cluster I. In the comparison of eutrophication status in major reservoirs in South Korea using the Korean trophic state index, in some reservoirs including cluster IV composed of lagoons, the eutrophication was improved compared to 2004~2008. However, eutrophication status has been more impaired in most agricultural reservoirs in clusters I, III, and V than past. Therefore, more attention is needed to improve the water quality of these reservoirs.

A study on the drinking water for some primary school in Seoul (서울지역 일부 국민학교의 음용수 이용에 관한 연구)

  • Lee, Won-Myo;Bang, Hyeong-Ae
    • Journal of the Korean Dietetic Association
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    • v.1 no.1
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    • pp.31-42
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    • 1995
  • The aims of this study are to enhance the students' knowledge of the drinking water and its reliability by investigating drinking water situation and the degree of students' knowledge on the drinking water. The results are as follows 1. Status and drinking behavior about school drinking water (1) 97.53% of the schools are using the tap water as the resource of drinking water (2) 46 schools are in possession of water tank and 18 schools of them are using the water tank as the resource of drinking water. The cleaning and sanitization of the tank are carried out once in a year with hypochloronatrium by the low-level officials, nurse teachers, and dietitian. 2. The degree of students' knowledge about drinking water (i) This survey represent that students favor the spring water best and think the tap water worst for drinking. (2) 83% of the students think that the tap water is polluted and these conception are formed mostly by the mass communication. 80% of boys and 90% of girls answered they don't drink plain tap water.

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2020 Dietary Reference Intakes of water for Koreans: establishment and future tasks (2020 한국인 수분 섭취기준 설정과 앞으로의 과제)

  • Lee, Jae Hyun;Kim, Sun Hyo
    • Journal of Nutrition and Health
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    • v.55 no.4
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    • pp.419-429
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    • 2022
  • Water accounts for the largest proportion of body weight and is an essential element for the physiological functioning of the human body. According to 2013-2017 Korea National Health and Nutrition Examination Survey (KNHANES) data, the average water intake of Koreans was 2,167.3 mL/day and 62% of them did not meet the Dietary Reference Intakes for Koreans (KDRIs) for water. However, the consumption of beverages is continuously increasing. KDRIs sets the adequate intake (AI) for water, but tolerable upper intake level (UL) and chronic disease risk reduction intake (CDRR) are not provided. Compared to 2015, the AI of total water from both food and fluids in the 2020 KDRIs slightly increased or decreased according to age. The AI for children 1-2 years old, boys 6-8 years and 9-11 years old, and girls 6-8 years old decreased by 100 mL/day, while that of boys 12-14 years old increased by 100 mL/day. The AI of total water was the sum of the water intake from food and fluids reported by the KNHANES, with an extra milk intake of 200 mL/day. Therefore, it is not appropriate to use the AI of total water intakes for the reference of beverage intakes. It is preferable to consume water or milk rather than beverages containing sugar and others including caffeine, sodium, etc. when drinking fluid water. We suggest the following improvements in the future KDRIs for water: improving the adequacy of the water content ratio of Korean conventional foods, supplementing the fluid water intake survey, reflecting the current water intake status by life cycle, setting KDRIs for water for the elderly considering the physiological changes, health status and dietary habits, and promotion of research on the relationship between water intake and health for Koreans.

A Study of the Feature Classification and the Predictive Model of Main Feed-Water Flow for Turbine Cycle (주급수 유량의 형상 분류 및 추정 모델에 대한 연구)

  • Yang, Hac Jin;Kim, Seong Kun;Choi, Kwang Hee
    • Journal of Energy Engineering
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    • v.23 no.4
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    • pp.263-271
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    • 2014
  • Corrective thermal performance analysis is required for thermal power plants to determine performance status of turbine cycle. We developed classification method for main feed water flow to make precise correction for performance analysis based on ASME (American Society of Mechanical Engineers) PTC (Performance Test Code). The classification is based on feature identification of status of main water flow. Also we developed predictive algorithms for corrected main feed-water through Support Vector Machine (SVM) Model for each classified feature area. The results was compared to estimations using Neural Network(NN) and Kernel Regression(KR). The feature classification and predictive model of main feed-water flow provides more practical methods for corrective thermal performance analysis of turbine cycle.