• Title/Summary/Keyword: Management Basin

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Morphological Classification of Unit Basin based on Soil & Geo-morphological Characteristics in the yeongsangang Basin (토양 및 지형학적 특성에 따른 영산강유역의 소유역 분류)

  • Sonn, Yeon-Kyu;Hyun, Byung-Keun;Jung, Suk-Jae;Hur, Seong-Oh;Jung, Kang-Ho;Seo, Myung-Chul;Ha, Sang-Keun
    • Korean Journal of Soil Science and Fertilizer
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    • v.40 no.4
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    • pp.262-268
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    • 2007
  • To characterize morphological classification of the basins, four major basin characteristics of the unit basins, including sinuosity, ratio of forest, ratio of flat area, and tributary existence were selected for cluster analysis. The analysis was carried out using soil map, topographic map, water course map, and basin map of the fifty unit basins in the Yeongsangang Basin. The unit basins could be categorized to five basin groups. The fitness by the Mantel test showed good fit of which r was 0.830. These grouping based on comprehensive soil and topographic characteristics provides best management practices, water quality management according to pollutants, increased water related model application and reasonable availability of water management. For agricultural management of water resources and conservation of water quality from agricultural non-point pollutants, therefore, comprehensive systematic classification of soil characteristics on unit basin might be an useful tool.

Potential Soil Loss Prediction for Land Resource Management in the Nakdong River Basin (토지자원관리를 위한 낙동강 유역의 잠재적 토양유실량 산정)

  • Oh, Jeong-Hak;Jung, Sung-Gwan
    • Journal of Korean Society of Rural Planning
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    • v.11 no.2 s.27
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    • pp.9-19
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    • 2005
  • The purpose of this study is to analyze the potential soil loss and hazard zone by the Revised Universal Soil Loss Equation(RUSLE) for preservation and management of land resources which is the base of ecosystem, and to grasp the relationship between RUSLE factors in the Nakdong River Basin. All thematic maps used in RUSLE are constructed through GIS and spatial analysis method derived from digital topographic maps, detailed soil maps, land-cover maps, and mean annual precipitation of 30 years collected respectively from National Geographic Information Institute, National Institute of Agricultural Science and Technology, and Ministry of Environment. The slope length of LS-factor that takes much times by the study area's wideness was calculated automatically through AML(Arc Macro Language) program developed by Van Remortel et al.(2001, 2003). The results are as follows; First, according to the soil loss estimation by the RUSLE, it shows that approximately 82% of the study area have relatively lower possibility of soil loss which is the 1 ton/ha in annual soil loss. While, 9.4% ($2,228km^2$) needed intensive and continuous management for soil loss. Because the amount of their annual soil loss was greater than 10 ton/ha that is optimum level suggested by Morgan(1995). For these areas, the author believe that a new approach which can minimize environmental impacts from soil loss through improvement of cultivation process and buffer forest zone should be applied. Second, according to the relationship between the RUSLE factors, topographical(LS-factor) and cover management(C-factor) conditions have a lot of influence on soil loss in case of the Nakdong River Basin. However, because of RUSLE factor's influence that affect to soil loss might be different based on the variety of spatial hierarchy and extent, it is necessary to analyze and evaluate factor's relationship in terms of spatial hierarchy and extent through field observations and further studies.

A Regional Safety Campaign to Prevent Chemical Accidents in the Workplace (화학사고 예방을 위한 사업장 화학안전캠페인 활동 사례)

  • Jihoon Park;Seon-Oh Park;Hyojin Park;Hye-Ok Kwon
    • Journal of Environmental Health Sciences
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    • v.49 no.5
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    • pp.247-250
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    • 2023
  • This case report aims to introduce the safety campaign activities for preventing chemical accidents that were cooperatively conducted by an environmental office and chemical-handling workplaces located in the Ulsan area. A chemical safety campaign was initiated to examine and manage chemical-handling facilities at high risk for chemical accidents, specifically valves, flanges, and switches (VFS) from October 2020 to December 2022. The VFS safety check campaign was conducted to raise workers' safety consciousness based on a campaign of advertisements in the workplace from October 2020 to December 2021. In addition, a VFS plus [+] campaign was initiated to encourage actual management activities for chemical-handling facilities at high risk of chemical accidents in 2022. A total of 49 corporations participated in the VFS plus [+] campaign. In contrast to the VFS safety check campaign, which simply focused on publicity and resulted in changes in worker awareness, practicable safety management activities focusing on the handling facilities were carried out. Although notable short-term impacts have yet to be discerned from the campaigns, it is expected that they will eventually serve as a starting point for developing a proper safety culture and environment.

Assessment of Ecosystem services under changing climate in the Bagmati Basin of Nepal

  • Bastola, Shiksha;Seong, Yeon-Jeong;Lee, Sanghyup;Jung, Younghun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.148-148
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    • 2019
  • The 2006 Millennium Ecosystem Assessment (MA) defines ecosystem services (ES) as "the benefits people obtain from ecosystems". Identifying where ES originates, whom it benefits and how it is changing over a period of time is critical in rapidly developing country like Nepal, where the risk of ES loss is high. In the context of various ecosystem services provided by watershed, this study, particularly deals with water yield, Soil loss and Carbon sequestration computation and evaluation in Bagmati Basin of Nepal. As Bagmati Basin incorporates capital city Kathmandu of nepal, land use change is significant over decades and mapping of ES is crucial for sustainable development of Basin in future. In this regard, the objectives of this study are 1) To compute the total and sub-watershed scale water yield of the basin, 2) Computation of soil loss and sediment retention in the basin, and 3) Computation of carbon sequestration in the basin. Integrated Valuation of Environmental Services and Tradeoffs (InVEST), a popular model for ecosystem service assessment based on Budyko hydrological method is used to compute Ecosystem services. The scenario of ES in two periods of time can be referenced for various approaches of prioritization and incorporation of their value into local and regional decision making for management of basin.

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Application of LID Methods for Sustainable Management of Small Urban Stream Using SWMM (SWMM 모델을 이용한 지속 가능한 도시 소하천 관리를 위한 LID 기법의 적용 방안 연구)

  • Han, Yanghui;Seo, Dongil
    • Journal of Korean Society of Environmental Engineers
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    • v.36 no.10
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    • pp.691-697
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    • 2014
  • Though the upper stream basin area of Gwanpyung-Cheon in Daejeon, Korea is protected as Green Belt Zone, the stream is under constant environmental pressure due to current agricultural practices and infrastructure development in its basin area. To develop appropriate integrated water resources management plan for the stream, it is necessary to consider not only water quality problems but also water quantity aspect. In this study, Storm Water Management Model (SWMM) was calibrated and validated with sets of field measurements to predict for future water flow and water quality conditions for any rainfall event. While flow modeling results showed good agreement by showing correlation coefficient is greater than 0.9, water quality modeling results showed relatively less accurate levels of agreements with correlation coefficient between 0.67 and 0.87. Hypothetical basin development scenarios were developed to compare effect on stream water quality and quantity when Low Impact Development (LID) technologies are applied in the basin. The results of this study can be used effectively in decision making processes of urban development Gwanpyung-Cheon area by comparing basin management alternatives such as LID methods.

The Management Planning of Pollutant Loading Allocation in the Kumho River Basin (금호강 유역의 오염총량 관리 대책 수립)

  • 황병기;정효준
    • Journal of Environmental Science International
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    • v.11 no.10
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    • pp.1125-1131
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    • 2002
  • This study was performed to plan pollutant loading allocation by sub-watershed at Kumho river basin located in the north Kyeongsang province. HEC-geoHMS which is extension program of ArcView was used to extract sub-watershed. To simulate water quality, Qua12eu model was calibrated and validated. BOD was simulated under several scenarios to evaluate reduction effects of pollutant loading. Uniform treatment and transfer matrix method was considered. Effects of headwater flow rate and efficiency waste water treatment plant were also considered.

Development of Basin-wide runoff Analysis Model for Integrated Real-time Water Management (실시간 물 관리 운영을 위한 유역 유출 모의 모형 개발)

  • Hwang, Man-Ha;Maeng, Sung-Jin;Ko, Ick-Hwan;Park, Jeong-In;Ryoo, So-Ra
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2003.10a
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    • pp.507-510
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    • 2003
  • The development of a basin-wide runoff analysis model is to analysis monthly and daily hydrologic runoff components including surface runoff, subsurface runoff, return flow, etc. at key operation station in the targeted basin. A short-term water demand forecasting technology will be developed taking into account the patterns of municipal, industrial and agricultural water uses. For the development and utilization of runoff analysis model, relevant basin information including historical precipitation and river water stage data, geophysical basin characteristics, and water intake and consumptions needs to be collected and stored into the hydrologic database of Integrated Real-time Water Information System. The well-known SSARR model was selected for the basis of continuous daily runoff model for forecasting short and long-term natural flows.

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Estimation of Soil Loss by Land Use in the Geum River Basin using RUSLE Model (RUSLE 모델을 이용한 금강 유역의 토지 이용별 토사유출량 추정)

  • Park, Jisang;Kim, Geonha
    • Journal of Korean Society on Water Environment
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    • v.22 no.4
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    • pp.619-625
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    • 2006
  • Amount of soil loss is important information for the proper water quality management, In this research, annual average soil loss of the Geum River basin was estimated using RUSLE (Revised Universal Soil Loss Equation) and GIS (Geographic Information System). Input data were manipulated using ArcGIS ver. 8.3. From crop field which constitute 8.2% of the Geum River Basin, annual average soil loss was estimated as 53.6 ton/ha/year. From the rice paddy field which constitutes 20% of the Geum River Basin, soil loss was estimated as 33.5 ton/ha/year, In comparison, forestry area which constitutes 61.8% of the basin discharged 2.8 ton/ha/year, It could be known from this research that appropriate measures should be implemented to prevent excessive soil loss from the agricultural areas.

Balancing Multiple Needs in Conflicts for an Urbanized River Basin

  • Yoshitani, Junichi
    • Proceedings of the Korea Water Resources Association Conference
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    • 2007.05a
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    • pp.53-57
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    • 2007
  • Tsurumi River Basin successfully started to prepare a Water Master Plan though a series of discussions by gathering all stakeholders in a hall. It began with setting five management targets namely, flood, low flow, natural environment, emergency use, and recreational use, followed by setting management goals by target as well as a one-sentence catchphrase for the Water Master Plan using a bottom-up approach. The author reviews this process and discusses the background of the success.

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Application of Convolutional Neural Networks (CNN) for Bias Correction of Satellite Precipitation Products (SPPs) in the Amazon River Basin

  • Alena Gonzalez Bevacqua;Xuan-Hien Le;Giha Lee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.159-159
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    • 2023
  • The Amazon River basin is one of the largest basins in the world, and its ecosystem is vital for biodiversity, hydrology, and climate regulation. Thus, understanding the hydrometeorological process is essential to the maintenance of the Amazon River basin. However, it is still tricky to monitor the Amazon River basin because of its size and the low density of the monitoring gauge network. To solve those issues, remote sensing products have been largely used. Yet, those products have some limitations. Therefore, this study aims to do bias corrections to improve the accuracy of Satellite Precipitation Products (SPPs) in the Amazon River basin. We use 331 rainfall stations for the observed data and two daily satellite precipitation gridded datasets (CHIRPS, TRMM). Due to the limitation of the observed data, the period of analysis was set from 1st January 1990 to 31st December 2010. The observed data were interpolated to have the same resolution as the SPPs data using the IDW method. For bias correction, we use convolution neural networks (CNN) combined with an autoencoder architecture (ConvAE). To evaluate the bias correction performance, we used some statistical indicators such as NSE, RMSE, and MAD. Hence, those results can increase the quality of precipitation data in the Amazon River basin, improving its monitoring and management.

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