• Title/Summary/Keyword: River Management Plan

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Study on the Selection of the Basin Characteristics Parameters in River Basin Using Satellite Images and GIS (위성영상(衛星映像)과 GIS를 이용한 하천유역(河川流域)의 유역특성인자(流域特性因子) 추출(抽出)추출 관한 연구(硏究))

  • Jo, Myung-Hee;Ahn, Seung-Seop
    • Journal of the Korean association of regional geographers
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    • v.4 no.1
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    • pp.121-134
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    • 1998
  • In this study, the satellite images and the GIS technique are used to select the basin characteristics parameters as the basis of water resources management of river basin. The study area is Geum-ho river basin and the hydrologic characteristics data are computed through the database of the basin characteristics parameters classified by subjects with 35 maps correspond to the study basin of 1:25,000 scale as the basic map. As the result, the drawing up of land use map through satellite image processing that provides the quantitative informations for the land is very efficient to analysis the extensive land use information of the basin, and exact analysis of mass surface data is possible and the feasibility of statistic computation between spatial subjects as it superpose on other subject map is ascertained. It is thought also that the analysis of the basin characteristics data can be utilized very effectively for the basin management and the analysis of basin surface area, once it is expressed numerically for database, since the superposition analysis with different subject map and the correlative analysis with the property data are possible although the tracing process of each subject in the basic map is not efficient. Especially, modification and renewal of the data for the change of land surface become easy, therefore more rapid and exact selection of the basin characteristics data and the construction of more efficient basin management plan are possible.

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Landscape Awareness Survey for Improvement of Urban Landscape in Yong-in city - Focusing on Residents, Government Officials, and Developers- (용인시 도시경관 개선을 위한 경관의식 조사 - 시민, 공무원, 개발사업자를 대상으로 -)

  • Sung, Hyun-Chan
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.6 no.6
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    • pp.1-13
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    • 2003
  • This study aims at conducting an awareness survey of three parties, namely, citizens, government officials, and developers for improvement of urban landscape and, based on the survey result, to suggest a direction to develop a landscape plan for improvement of urban landscape of Yong-in city in the future. The summary of this study is as follows. First, in case of Yong-in, the main drivers of forest landscape destruction were "residential complexes developed for apartment buildings" and "golf courses", the driver of river landscape damage was "the status of cleanliness of riverside and poor facilities", the driver of roadside landscape damage was "construction sites" that completely eliminate original natural landscape in both citizen and government official groups. When granting development-related approvals in the future, appropriate actions should be prepared such as developing a landscape management guideline or including a landscape plan in advance to assure plans and designs fully reflecting landscape. Second, citizens' commitment to participate in urban landscape creation and improvement was rated high at even willing to tolerate regulations including restriction of property rights. In the future, landscape improvement programs allowing resident participation should be developed proactively. The roles of government officials include preparing various criteria at a city level and convincing and guiding citizens to initiate landscape improvement project together with citizens and developers through proactive efforts by government officials. Third, the role of developers would be to realize development projects conserving local environment and/or harmonizing with local natural environment before preparing a development plan or launching construction rather than offering various considerations after executing development projects.

A Study on Surface Landscape Change and Sedimentary Environment of the Dongcheon Estuary through Aerial Photographs and Sediment Analysis (항공사진 및 퇴적물 분석을 통한 순천 동천하구의 지표경관 변화 및 퇴적환경 연구)

  • Lee, Ye-Seul;Lim, Jeong-Cheol;Jang, Dong-Ho
    • Journal of The Geomorphological Association of Korea
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    • v.28 no.1
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    • pp.35-50
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    • 2021
  • In this study, we analyzed the changes in the topographical landscape and the sedimentary environment to evaluate the ecological value of the Dongcheon Estuary and protect the wetland, and presented the conservation management method of the Dongcheon Estuary. Based on the result of topographical landscape analysis, agricultural land tended to decrease continuously, and artificial structures gradually increased. Moreover, in sediment analysis, the Dongcheon Estuary showed both the characteristics of river sediments and coastal sediments, and in some areas problems such as acidification and nutritional imbalance appeared. Therefore, in order to protect and manage the Dongcheon Estuary with high ecological value, it is necessary to limit the development around micro topography and minimize the artificial damage in the Dongcheon Estuary. In addition, efforts such as securing facilities for reducing pollutants and freshwater wetlands for pollutants, that flow in from nonpoint pollutants are required.

A Hydrometeorological Time Series Analysis of Geum River Watershed with GIS Data Considering Climate Change (기후변화를 고려한 GIS 자료 기반의 금강유역 수문기상시계열 특성 분석)

  • Park, Jin-Hyeog;Lee, Geun-Sang;Yang, Jeong-Seok;Kim, Sea-Won
    • Spatial Information Research
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    • v.20 no.3
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    • pp.39-50
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    • 2012
  • The objective of this study is the quantitative analysis of climate change effects by performing several statistical analyses with hydrometeorological data sets for past 30 years in Geum river watershed. Temperature, precipitation, relative humidity data sets were collected from eight observation stations for 37 years(1973~2009) in Geum river watershed. River level data was collected from Gongju and Gyuam gauge stations for 36 years(1973~2008) considering rating curve credibility problems and future long-term runoff modeling. Annual and seasonal year-to-year variation of hydrometeorological components were analyzed by calculating the average, standard deviation, skewness, and coefficient of variation. The results show precipitation has the strongest variability. Run test, Turning point test, and Anderson Exact test were performed to check if there is randomness in the data sets. Temperature and precipitation data have randomness and relative humidity and river level data have regularity. Groundwater level data has both aspects(randomness and regularity). Linear regression and Mann-Kendal test were performed for trend test. Temperature is increasing yearly and seasonally and precipitation is increasing in summer. Relative humidity is obviously decreasing. The results of this study can be used for the evaluation of the effects of climate change on water resources and the establishment of future water resources management technique development plan.

A Study on the Activation of Non-government Participation in Total Maximum Daily Load System using Private Discharge Facilities Reduction Potential Analysis (개별배출시설 삭감잠재량 분석을 통한 수질오염총량제의 민간참여 활성화 방안 연구)

  • Kim, Hongtae;Shin, Dongseok;Kim, Hyeonjeong;Choi, Inuk;Lee, Miseon;Kim, Yongseok
    • Journal of Korean Society on Water Environment
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    • v.31 no.6
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    • pp.715-722
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    • 2015
  • Four major river basin in Korea has been managed with Total Maximum Daily Load(TMDL) System. Water quality indicators as targeted pollutants for TMDL were BOD and TP. In order to satisfy water quality criteria, government allocation using public treatment facilities and its action plan has been used. However, the role to improve water quality were recently faced to its limitation. It is time to require the role of non-government allocation in private discharge facilities to control good water quality. This study investigated three different scenarios in reduction demands of non-government allocations about industry and private sewages. The three different scenarios were discharge under 1) legal water quality standard, 2) water quality level in 2011 and 3) current water quality level with maximum value in group. The results showed that reduction potential in water discharge for TP indicator was 1,118kg/day, under second scenario with 20% of deduction. This results arrived at 42% of whole reduction potential costs and 0.012mg/L improvement in water quality. In conclusion, to intrigue voluntary participation in non-government allocation, various benefits such as tax reduction, tax exemption, and water quality trading should be provided.

Development of Management System for a Drainage Basin using Spatial Information (공간정보를 이용한 유역 관리시스템 개발)

  • Shin, Sha-Chul;Kim, Seong-Joon;Chae, Hyo-Sok;Kwon, Gi-Ryang;Lee, Yun-Ah
    • Journal of the Korean Association of Geographic Information Studies
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    • v.5 no.3
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    • pp.33-44
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    • 2002
  • The water resources information system of a watershed should be set up to understand the water management problems with reflecting basin characteristics for the effective water use. This study is to develop a watershed management system to be operated in water resources and water quality management. In order to promote effective utilization of this system, the various kinds of information data are collected, and this system could be utilized as a valuable tool for maximum uses of them. The information system developed in this study is constructed with GUI(graphic user interface) system using Arc-View and Visual Basic at the circumstances based on the PC. The integrated GIS and Remote Sensing based system is directed to the need for more detailed information on watershed management. The ability to present system clearly provides an indispensable tool for a river basin development and water management plan.

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A Study on Management and Present-Condition of Invasive Alien Species (외래식물 분포 및 관리방안)

  • Park, Sang-Heon;Lee, Hae-Seung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.11
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    • pp.488-496
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    • 2018
  • This study examined the Gangwon Province's current implementation of its elimination of invasive plants and explored a plan to effectively manage invasive plants. The percentage of the distribution of the plants was 39.6% for riverside areas, 23.3% for roadside areas, 12.4% for roadside & riverside areas, and 4.6% for areas around farm land and river banks. To ensure the systematic management of invasive plants, the current study suggests a) developing an invasive plants monitoring and management system; b) reinvigorating the participation of residents, private organizations, and military posts; c) planting of native replacement plants and the conversion of the locations as attractions, and d) nurturing the project for using invasive plants. For policy directions to be pursued based on the results of the study, the following are suggested: a) improving laws and systems regarding invasive plants, b) developing a cooperative system for managing invasive plants, c) implementing the training of civilian professionals, d) implementing the elimination of invasive plants, e) developing replacement plants for cities and counties, f) fostering industries that tap into invasive plants, and g) using the Han River Water System Management Fund for funding and greater efficiency.

Probability Map of Migratory Bird Habitat for Rational Management of Conservation Areas - Focusing on Busan Eco Delta City (EDC) - (보존지역의 합리적 관리를 위한 철새 서식 확률지도 구축 - 부산 Eco Delta City (EDC)를 중심으로 -)

  • Kim, Geun Han;Kong, Seok Jun;Kim, Hee Nyun;Koo, Kyung Ah
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.26 no.6
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    • pp.67-84
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    • 2023
  • In some areas of the Republic of Korea, the designation and management of conservation areas do not adequately reflect regional characteristics and often impose behavioral regulations without considering the local context. One prominent example is the Busan EDC area. As a result, conflicts may arise, including large-scale civil complaints, regarding the conservation and utilization of these areas. Therefore, for the efficient designation and management of protected areas, it is necessary to consider various ecosystem factors, changes in land use, and regional characteristics. In this study, we specifically focused on the Busan EDC area and applied machine learning techniques to analyze the habitat of regional species. Additionally, we employed Explainable Artificial Intelligence techniques to interpret the results of our analysis. To analyze the regional characteristics of the waterfront area in the Busan EDC district and the habitat of migratory birds, we used bird observations as dependent variables, distinguishing between presence and absence. The independent variables were constructed using land cover, elevation, slope, bridges, and river depth data. We utilized the XGBoost (eXtreme Gradient Boosting) model, known for its excellent performance in various fields, to predict the habitat probabilities of 11 bird species. Furthermore, we employed the SHapley Additive exPlanations technique, one of the representative methodologies of XAI, to analyze the relative importance and impact of the variables used in the model. The analysis results showed that in the EDC business district, as one moves closer to the river from the waterfront, the likelihood of bird habitat increases based on the overlapping habitat probabilities of the analyzed bird species. By synthesizing the major variables influencing the habitat of each species, key variables such as rivers, rice fields, fields, pastures, inland wetlands, tidal flats, orchards, cultivated lands, cliffs & rocks, elevation, lakes, and deciduous forests were identified as areas that can serve as habitats, shelters, resting places, and feeding grounds for birds. On the other hand, artificial structures such as bridges, railways, and other public facilities were found to have a negative impact on bird habitat. The development of a management plan for conservation areas based on the objective analysis presented in this study is expected to be extensively utilized in the future. It will provide diverse evidential materials for establishing effective conservation area management strategies.

Application of Artificial Intelligence Technology for Dam-Reservoir Operation in Long-Term Solution to Flood and Drought in Upper Mun River Basin

  • Areeya Rittima;JidapaKraisangka;WudhichartSawangphol;YutthanaPhankamolsil;Allan Sriratana Tabucanon;YutthanaTalaluxmana;VarawootVudhivanich
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.30-30
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    • 2023
  • This study aims to establish the multi-reservoir operation system model in the Upper Mun River Basin which includes 5 main dams namely, Mun Bon (MB), Lamchae (LC), Lam Takhong (LTK), Lam Phraphoeng (LPP), and Lower Lam Chiengkrai (LLCK) Dams. The knowledge and AI technology were applied aiming to develop innovative prototype for SMART dam-reservoir operation in future. Two different sorts of reservoir operation system model namely, Fuzzy Logic (FL) and Constraint Programming (CP) as well as the development of rainfall and reservoir inflow prediction models using Machine Learning (ML) technique were made to help specify the right amount of daily reservoir releases for the Royal Irrigation Department (RID). The model could also provide the essential information particularly for the Office of National Water Resource of Thailand (ONWR) to determine the short-term and long-term water resource management plan and strengthen water security against flood and drought in this region. The simulated results of base case scenario for reservoir operation in the Upper Mun from 2008 to 2021 indicated that in the same circumstances, FL and CP models could specify the new release schemes to increase the reservoir water storages at the beginning of dry season of approximately 125.25 and 142.20 MCM per year. This means that supplying the agricultural water to farmers in dry season could be well managed. In other words, water scarcity problem could substantially be moderated at some extent in case of incapability to control the expansion of cultivated area size properly. Moreover, using AI technology to determine the new reservoir release schemes plays important role in reducing the actual volume of water shortfall in the basin although the drought situation at LTK and LLCK Dams were still existed in some periods of time. Meanwhile, considering the predicted inflow and hydrologic factors downstream of 5 main dams by FL model and minimizing the flood volume by CP model could ensure that flood risk was considerably minimized as a result of new release schemes.

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A study on estimating the quick return flow from irrigation canal of agricultural water using watershed model (유역모델을 이용한 농업용수 신속회귀수량 산정 연구)

  • Lee, Jiwan;Jung, Chunggil;Kim, Daye;Maeng, Seungjin;Jeong, Hyunsik;Jo, Youngsik;Kim, Seongjoon
    • Journal of Korea Water Resources Association
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    • v.55 no.5
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    • pp.321-331
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    • 2022
  • In this study, we tried to present a method for calculating the amount of regression using a watershed modeling method that can simulate the hydrological mechanism of water balance analysis and agricultural water based on watershed unit. Using the soil water assessment tool (SWAT), a watershed water balance analysis was conducted considering the simulation of paddy fields for the Manbongcheon Standard Basin (97.34 km2), which is a representative agricultural area of the Yeongsan river basin. Before evaluating return flow, the SWAT was calibrated and validated using the daily streamflow observation data at Naju streamflow gauge station (NJ). The coefficient of determination (R2), Nash-Sutcliffe Efficiency (NSE), Root-Mean-Square Error (RMSE) of NJ were 0.73, 0.70, 0.64 mm/day. Based on the calibration results for three years (2015-2017), the quick return flow and the return rate compared to the water supply amount for the irrigation period (April 1 to September 30) were calculated, and the average return flow rate was 53.4%. The proposed method of this study may be used as foundation data to optimal agricultural water supply plan for rational watershed management.