• Title/Summary/Keyword: drainage basin area

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Study on the Characteristics of Water Table and Quality of Groundwater in Western-Muan Area Using GIS (GIS를 이용한 무안군 서부지역 지하수의 수위 및 수질분포 특성에 관한 연구)

  • Suh Goo Won;Jung Chan Duck;Park Bae Young
    • KCID journal
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    • v.12 no.1
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    • pp.15-27
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    • 2005
  • Variation of groundwater level and groundwater quality are an important parameter in the basin analysis. The study of groundwater level and groundwater quality require a knowledge of the geology and the regions surface. We analyzed characteristics of chan

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The Geochemical Characteristics of the River Water in the Han River Drainage Basin (한강수계분지내 하천수의 지구화학적 특성)

  • 서혜영;김규한
    • Journal of the Korean Society of Groundwater Environment
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    • v.4 no.3
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    • pp.130-143
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    • 1997
  • To investigate geochemical characteristics and the sources of the dissolved ion species in the river water in the Han river drainage basin, samples were collected at 60 sites from the Han river drainage basin. The data for. pH, conductivity, TDS (total dissolved solid), temperature, and concentrations of dissloved ions were obtained as follows : (1) The geochemical characteristics of the surface water in the South and North Han river drainage basins are mainly controlled by bed rock geology in the drainage basin and in the main stream of the Han river considerably affected by anthropogenic pollution. The South Han river water samples have high concentrations of $Ca^{2+}$ (ave. 15.42 ppm), $Mg^{2+}$ (ave. 2.74 ppm), HC $O_3$$^{[-10]}$ (ave. 51.9 ppm), which evidently indicates that the bed rock geology in a limestone area mainly controls the surface water chemistry. The concentration of S $O_4$$^{2-}$ is remarkably high (SHR10-2 : 129.9 ppm) because of acid mine drainage from the metal and coal mines in the upper reaches of the South Han river. (2) The South Han river and the North Han river join the Han river. in the Yangsuri, Kyounggido and flow through Seoul metropolitan city. The mixing ratio is about 60:40 at the meeting point (sample number HRl0). (3) The result of factor analysis suggests that the pollution factor accounts for about 79% and the bed rock type factor accounts for about 7% of the data variation. This means that the geochemical characteristics of the Han river water mainly controlled by anthropogenic pollution in the South Han river and main stream of the Han river drainage basin. (4) The chemical data for four tributaries such as the Wangsukcheon, the Tancheon, the Zunuangcheon, and the Anyangcheon show that the concentration of pollution elements such as N $O_2$, C $l^{-}$, P $O_4$$^{3-}$, S $O_4$$^{2-}$ and Mn are high due to municipal waste disposal.

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Estimation in changes of Tidal Areas due to seawater circulation in Mangyung water area (만경수역의 해수유통으로 인한 조간대 면적변화 추정)

  • Cheon, Gi-Seol;Park, Yeong-Wook;Kwun, Soon-Kuk
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2002.10a
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    • pp.133-136
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    • 2002
  • A simulation by the TOPAS model, two dimensional finite difference model was performed on the flows through drainage lock gate for the Saemangeum tidal reclamation project. Analysis focus on the changes of intertidal zone areas according to the operation scheme of the gate. The intertidal zone areas were analyzed as $66{\sim}70\;km^2$ when the opening of the gate was 300 m. It occupied about $85{\sim}90%$ of intertidal zone areas compared to that the Mangyung sea basin was opened without sea-dike. It appeared to be the most effective in terms of securing enough intertidal zone areas when the gate was operated as inflowing sea-water after 2 day's drainage.

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The Development of GIS-based Package Tool for Small Hydropower Resources Analysis (GIS기반 소수력자원 분석용 Package Tool 개발)

  • Park, Wan-Soon;Lee, Chul-Hyung;Heo, June-Ho;Jeong, Sang-Man
    • 한국신재생에너지학회:학술대회논문집
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    • 2009.06a
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    • pp.668-671
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    • 2009
  • This study seeks to develop a map of the domestic small hydropower(SHP) resources to further improve SHP resources, developed through package tool which can accurately evaluate a wide range of SHP basin in a short period of time. GIS-based package tool for SHP resources analysis was calculated using 840 standard basin classified by drainage area and facility capacity, etc., and to assume a 40% annual load factor, expected annual electricity production was calculated. SHP resources potential for the development of SHP will be utilized as basic data.

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Waste Load Allocation of Hwanggujicheon Watershed Using Optimization Technique (최적화기법을 이용한 황구지천유역의 오염부하량 할당)

  • Cho, Jae Heon;Chung, Wook Jin;Lee, Jong Ho
    • Journal of Korean Society of Water and Wastewater
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    • v.19 no.6
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    • pp.728-737
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    • 2005
  • Water quality of the Hwanggujicheon is poor because of the rapid housing and development in the large area of the basin. Establishment of water quality management strategy, based on the pollution sources survey and pollutant loads estimation, has to be established for the preservation of the stream water quality of the region. In this study, waste load allocation model to achieve the water quality goal of the stream and the optimization of pollutant load reduction, was developed. Nonpoint pollutant loads calculated by runoff model in the previous study are utilized for pollutant loads estimation of the drainage areas in this study. From the application result of the allocation model, water quality goals of the Hwanggujicheon that can be achieved as a matter of fact are BOD 8 mg/L. To achieve these goals, 23% of effluent BOD loads have to be reduced in the basin.

Determination Grid Cell for Estimation of Radar Relationship (레이더 관계식 산정을 위한 격자망 크기 결정)

  • Lee, Won-Ho;Kim, Jin-Geuk
    • Journal of The Korean Society of Agricultural Engineers
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    • v.48 no.5
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    • pp.3-15
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    • 2006
  • The purpose of the study is to determine grid cell of radar relationship, and to promote the radar data on hydrology field. The study region is the Chungjudam basin with a drainage area of $6,648km^{2}$ located within the 260 km circle under the DWSR-88C C-band umbrella(Kwanak Mt Radar). Grid cell was produced to extract radar reflectivity and rainfall data of the same time and point using Arc-view software package. The grid cell size is to estimate mean correlation coefficient for $1km{\times}1km,\;2km{\times}2km,\;3km{\times}3km$ grid. The result of mean correlation coefficient showed good result(0.57) for the $1km{\times}1km$ grid cell. The 32 rainfall stations Z-R relationship was estimated in Chungjudam basin.

Spatial and Temporal Variation Characteristics between Water Quality and Pollutant Loads of Yeong-il Bau(I) - Seasonal Variation of River Discharge and Inflowing Pollutant Loads - (영일만 유입오염부하량과 수질의 시ㆍ공간적 변동특성(I) - 하천유량과 유입오염부하량의 계절변동 -)

  • 윤한삼;이인철;류청로
    • Journal of Ocean Engineering and Technology
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    • v.17 no.4
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    • pp.23-30
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    • 2003
  • This study investigates the seasonal variation and spatial distribution characteristics of pollutant load, as executing the quality valuation of pollutant load inflowing into Yeong-il Bay from on-land including the Hyeong-san River. Annual total pollutant generating rate from Yeong-il Bay region are 202ton-BOD/day, 620ton-SS/day, 42ton-TN/day, and 16ton-TP/day, respectively. Particularly, the generating ration of the pollutant loads from the Hyeong-san River is greater than that of any other watershed of the Yeong-il Bay, of which BOd is about 78.2%, SS 88.5%, T-N 62.5%, T-P 73.1%, As calculating Tank model with input value of daily precipitation and evaporation of 2001 year in drainage basin of the Hyeong-san River, the estimated result of the annual river discharge effluence from this river is 830106㎥, As a result to estimating annual effluence rate outflowing at the rivers from each drainage basin. annual inflow pollutant rates are 10,633ton-BOD/year, 19,302ton-SS/year, 15,369ton-TN/year, 305ton-TP/year, respectively. The population congestion region of the Pohang-city is a greater source of pollutant loads than the Neang-Chun region with wide drainage area. Therefore, the quantity of TN inflowing into Yeong-il Bay is much more than T-P. The accumulation of pollutant load effluenced from on-land will happen at the inner coast region of Yeon-il Bay. Finally, We would make a prediction that the water quality will take a bad turn.