• Title/Summary/Keyword: nakdong technique

Search Result 92, Processing Time 0.025 seconds

Estimation of Flood Risk Index for the Nakdong River Watershed (낙동강 유역의 홍수위험지수 산정)

  • Song, Jae Ha;Kim, Sangdan;Park, Moo Jong;Choi, Hyun Il
    • Journal of Korea Water Resources Association
    • /
    • v.46 no.1
    • /
    • pp.35-45
    • /
    • 2013
  • The aim of study is to present how to estimate and use the FRI (Flood Risk Index) for classifying area zones based on regional flooding risk in terms of the integrated flood risk management. To estimate the FRI at a spatial resolution of city/county/town units for the Nakdong River Watershed, the 17 representative flood indexing factors are carefully selected for the three flood indexes, such as PI (Pressure Index), SI (State Index), and RI (Response Index) under the P-S-R (Pressure-State-Response) classification system. Because flood indexing factors are measured at different scales and units, they are transformed into a common domain by the T-Score normalization technique. The entropy weight coefficient method is also applied to calculate the weight of flood indexing factors in order to reduce subjective judgement on the effect of weight coefficients. The three flood indexes of PI, SI, and RI are integrated for an overall value of the FRI to evaluate the flood risk of districts. To examine the practical application of the proposed FRI, the FRI results with/without the weight coefficients are compared with flooding zones of natural disaster risk areas officially announced in 2010. It is expected that the FRI ensured by full verification can make regional protection plans against flooding disasters with respect to causes and characteristics of past floods.

Isolation of Superoxide Dismutase cDNAS from an Weedy Rice Variety and Transformation of a Cultivated Rice Variety (잡초성벼의 superoxide dismutase cDNA cloning과 재배벼로의 형질전환)

  • Park, Sang-Gyu;Park, Jong-Suk;Lee, Seung-In;Suh, Suk-Chul;Kim, Byung-Keuk;Jo, Youl-Lae;Suh, Hak-Soo
    • Korean Journal of Environmental Agriculture
    • /
    • v.21 no.2
    • /
    • pp.156-161
    • /
    • 2002
  • Two different cDNA clones for superoxide dismutase (SOD) were isolated from an weedy rice variety (Oryza sativa, cv. Bhutan14Ad) and were introduced into a cultivated rice variety (Oryza sativa, cv. Nakdong) in order to develop the environmental stress-resistant rice plants. Sequence analysis of the cloned cDNAS indicated that the deduced amino acid sequence of SOD-A is 88.4% identical to that of SOD-B. Furthermore, the nucleotide sequence of SOD-A is 99.3% identical to that of a Cu/Zn SOD gene of Oryza sativa (GenBank accession No. L36320). The nueleotide sequence of SOD-B was identical to that of the previously published SOD gene (Accession No. D01000). A cultivated rice variety, Nakdong-byeo, was transformed with chimeric SOD genes containing a actin promoter of rice and pin2 terminator using a particle bombardment technique. Transformed calli were selected on an selection medium containing phosphinothricin (PPT). Transgenic rice plants were regenerated from the PPT-resistant calli. PCR analysis with genomic DNAs from transgenic plants revealed that transgenes are introduced into rice genome.

Development of suspended solid concentration measurement technique based on multi-spectral satellite imagery in Nakdong River using machine learning model (기계학습모형을 이용한 다분광 위성 영상 기반 낙동강 부유 물질 농도 계측 기법 개발)

  • Kwon, Siyoon;Seo, Il Won;Beak, Donghae
    • Journal of Korea Water Resources Association
    • /
    • v.54 no.2
    • /
    • pp.121-133
    • /
    • 2021
  • Suspended Solids (SS) generated in rivers are mainly introduced from non-point pollutants or appear naturally in the water body, and are an important water quality factor that may cause long-term water pollution by being deposited. However, the conventional method of measuring the concentration of suspended solids is labor-intensive, and it is difficult to obtain a vast amount of data via point measurement. Therefore, in this study, a model for measuring the concentration of suspended solids based on remote sensing in the Nakdong River was developed using Sentinel-2 data that provides high-resolution multi-spectral satellite images. The proposed model considers the spectral bands and band ratios of various wavelength bands using a machine learning model, Support Vector Regression (SVR), to overcome the limitation of the existing remote sensing-based regression equations. The optimal combination of variables was derived using the Recursive Feature Elimination (RFE) and weight coefficients for each variable of SVR. The results show that the 705nm band belonging to the red-edge wavelength band was estimated as the most important spectral band, and the proposed SVR model produced the most accurate measurement compared with the previous regression equations. By using the RFE, the SVR model developed in this study reduces the variable dependence compared to the existing regression equations based on the single spectral band or band ratio and provides more accurate prediction of spatial distribution of suspended solids concentration.

Comparative Study between Design Methods and Pile Load Tests for Bearing Capacity of Driven PHC Piles in the Nakdong River Delta (낙동강 삼각주에 항타된 PHC말뚝의 지지력을 위한 재하시험과 지지력 공식의 비교연구)

  • Dung, N.T.;Chung, S.G.;Kim, S.R.;Chung, J.G.
    • Journal of the Korean Geotechnical Society
    • /
    • v.23 no.3
    • /
    • pp.61-75
    • /
    • 2007
  • Deep foundations have been popularly installed in hard stratum such as gravels or rocks in Korea. However, it is necessary to consider sand or sandy gravel layers that locate at the mid-depths as the bearing stratum of piles in the thick Nakdong River deltaic deposits, as done in the Chaophraya (Bangkok) and Mississippi River deltas. This study was focused on the finding of suitable methods for estimating bearing capacity when driving prestressed high-strength concrete (PHC) piles to a required depth in the deltaic area. Ground investigation was performed at five locations of two sites in the deltaic area. Bearing capacity of the driven piles has been computed using a number of proposed methods such as CPT-based and other analytical methods, based on the ground investigation and comparison one another other. Five PDA (pile driving analyzer) tests were systematically carried out at the whole depths of embedded piles, which is a well-blown useful technique for the purposes. As the results, the bearing capacities calculated by various methods were compared with the PDA and static load testing results. It was found that the shaft resistance is significantly governed by set-up effects and then the long-term value agrees well with that of the $\beta$ method. Also, the design methods for toe resistance were determined based on the SLT result, rather than PDA results that led to underestimation. Moreover, using the CPT results, appropriate methods were proposed for calculating the bearing capacity of the piles in the area.

A study on algal bloom forecast system based on hydro-meteorological factors in the mainstream of Nakdong river using machine learning (머신러닝를 이용한 낙동강 본류 구간 수문-기상인자 조류 예보체계 연구)

  • Taewoo Lee;Soojun Kim;Junhyeong Lee;Kyunghun Kim;Hoyong Lee;Duckgil Kim
    • Journal of Wetlands Research
    • /
    • v.26 no.3
    • /
    • pp.245-253
    • /
    • 2024
  • Blue-green algal bloom, or harmful algal bloom has a negative impact on the aquatic ecosystem and purified water supply system due to oxygen depletion in the water body, odor, and secretion of toxic substances in the freshwater ecosystem. This Blue-green algal bloom is expected to increase in intensity and frequency due to the increase in algae's residence time in the water body after the construction of the Nakdong River weir, as well as the increase in surface temperature due to climate change. In this study, in order to respond to the expected increase in green algae phenomenon, an algal bloom forecast system based on hydro-meteorological factors was presented for preemptive response before issuing a algal bloom warning. Through polyserial correlation analysis, the preceding influence periods of temperature and discharge according to the algal bloom forecast level were derived. Using the decision tree classification, a machine learning technique, Classification models for the algal bloom forecast levels based on temperature and discharge of the preceding period were derived. And a algal bloom forecast system based on hydro-meteorological factors was derived based on the results of the decision tree classification models. The proposed algae forecast system based on hydro-meteorological factors can be used as basic research for preemptive response before blue-green algal blooms.

Fuzzy Optimal Reservoir Operation Considering Abnormal Flood (이상홍수를 고려한 퍼지 최적 저수지 운영)

  • Choi, Changwon;Yu, Myung Su;Yi, Jaeeung
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.32 no.4B
    • /
    • pp.221-232
    • /
    • 2012
  • In this study, the model enhancing the safety of reservoirs and reducing the downstream flood damage by reservoirs system operation during abnormal flood was developed. Linear programming was used for the optimal reservoirs system operation during an abnormal flood and fuzzy inference system was introduced to solve the uncertainty problem which is included in hydrological factors like inflow, water level and inflow variation of reservoir operation. The linear programming model determined the optimal reservoir system operation rules and could be used in situation where water demands varies rapidly during the abnormal flood events using fuzzy control technique. In this study, the optimal reservoirs system operation for Andong and Imha reservoirs located in the upper basin of Nakdong river was performed in order that the design flood discharge at Andong city would not be exceeded for the design flood of 100 year and PMF(Probable Maximum Flood). And the model that determines the release according to the downstream flow discharge, the reservoir storage, the inflow and the inflow variation of each reservoir was developed using the optimal system operation result and fuzzy control technique. The developed model consisted of 224 fuzzy rules according to the conditions of Andong reservoir, Imha reservoir and Andong city. And the release from each reservoir could be determined when the current data are used as input data through the developed GUI.

Application Testing and Comparative Effectiveness of Green-tide Mitigation Technique in the Lower Part (Chusori) of the So-ok Stream (Daecheong Reservoir), Korea (소옥천 하류(추소리)에서 녹조현상 경감기술의 현장 시험 적용 및 효과 비교)

  • Shin, Jae-Ki;Kim, Youngsung;Noh, Joonwoo;Kim, Jong-Myung;Hwang, Soon-Jin
    • Korean Journal of Ecology and Environment
    • /
    • v.49 no.4
    • /
    • pp.258-270
    • /
    • 2016
  • This study was conducted to test the green-tide mitigation technique in the lower part of the Sook Stream (Chusori) of Daecheong Reservoir from June 27 to August 24, 2014. And the effects were compared with weekly monitoring result of the watching station of the algae alert system (AAS) as well as test beds reach. The green-tide in a test bed was begun from the upstream, and it was gradually transferred and spread toward the downstream by the hydrological factors. The total amount of algae removed by algae removal device during the test period was 33,920 kg, and solids dewatered by natural gravity was 8,480 kg. Also chlorophyll-a content was 2.83 kg, the number of blue-green algae cells was equivalent to $78.6{\times}10^{14}$ cells. Compared with the results of the watching station of AAS, the pre-concentrate removal work in the outbreak waters was able to suggest the possibility of green-tide mitigation. In addition, an effective management of the green-tide was required spatial and temporal occurrence information and practical device technology. Particularly, the optimal timing of algae removal in the river-reservoir hybrid system was recommended at times before the monsoon rainy season and reached the lowest water level.

The Forecasting of Monthly Runoff using Stocastic Simulation Technique (추계학적 모의발생기법을 이용한 월 유출 예측)

  • An, Sang-Jin;Lee, Jae-Gyeong
    • Journal of Korea Water Resources Association
    • /
    • v.33 no.2
    • /
    • pp.159-167
    • /
    • 2000
  • The purpose of this study is to estimate the stochastic monthly runoff model for the Kunwi south station of Wi-stream basin in Nakdong river system. This model was based on the theory of Box-Jenkins multiplicative ARlMA and the state-space model to simulate changes of monthly runoff. The forecasting monthly runoff from the pair of estimated effective rainfall and observed value of runoff in the uniform interval was given less standard error then the analysis only by runoff, so this study was more rational forecasting by the use of effective rainfall and runoff. This paper analyzed the records of monthly runoff and effective rainfall, and applied the multiplicative ARlMA model and state-space model. For the P value of V AR(P) model to establish state-space theory, it used Ale value by lag time and VARMA model were established that it was findings to the constituent unit of state-space model using canonical correction coefficients. Therefore this paper confirms that state space model is very significant related with optimization factors of VARMA model.

  • PDF

GIS-Based Design Flood Estimation of Ungauged Watershed (논문 - GIS기반의 미계측 유역 설계홍수량 산정)

  • Hong, Seong-Min;Jung, In-Kyun;Park, Jong-Yoon;Lee, Mi-Seon;Kim, Seong-Joon
    • KCID journal
    • /
    • v.18 no.2
    • /
    • pp.87-100
    • /
    • 2011
  • This study is to delineate the watershed hydrological parameters such as area, slope, rain gauge weight, NRCS-CN and time of concentration (Tc) by using the Geographic Information Sytem (GIS) technique, and estimation of design flood for an ungauged watershed. Especially, we attempted to determine the Tc of ungauged watershed and develop simple program using the cell-based algorithm to calculates upstream or downstream flow time along a flow path for each cell. For a $19km^2$ watershed of tributary of Nakdong river (Seupmoon), the parameters including flow direction, flow accumulation, watershed boundary, stream network and Tc map were extracted from 30m Agreeburn DEM (Digital Elevation Model) and landcover map. And NRCS-CN was extracted from 30m landcover map and soil map. Design rainfall estimation for two rainfall gauge which are Sunsan and Jangcheon using FARD2006 that developed by National Institute for Disaster Prevention (NIDP). Using the parameters as input data of HEC-l model, the design flood was estimated by applying Clark unit hydrograph method. The results showed that the design flood of 50 year frequency of this study was $8m^3/sec$ less than that of the previous fundamental plan in 1994. The value difference came from the different application of watershed parameter, different rainfall distribution (Huff quartile vs. Mononobe) and critical durations. We could infer that the GIS-based parameter preparation is more reasonable than the previous hand-made extraction of watershed parameters.

  • PDF

Characteristics of DOC Removal by Coagulation Process in the Water Treatment of Nakdong River (낙동강 수계에 대한 정수처리공정에서 응집공정의 DOC 제거 특성)

  • Hwang, Deok-Heung;Kim, Dong-Young
    • Journal of Korean Society of Water and Wastewater
    • /
    • v.13 no.2
    • /
    • pp.66-73
    • /
    • 1999
  • This study was carried out to derive the removal characteristics of target materials(DOC and turbidity) during the coagulation process after the injection of coagulants(PACl and FeCl3). Used apparatus were a jar test and a pilot plant. A great portion of DOC among the total removed DOC was achieved at the slow mixing process among the coagulation process. The ranges of removed DOC and optimum pH for each coagulant were 0.45~1.47mg/l and 6.0~6.5 by PACl, and 0.97~2.61mg/l. and 5.0~5.5 by FeCl3, respectively. Both of coagulants showed little increase of DOC removal above coagulant dosage 20mg/l Molecular weight distribution(MWD) of removed DOC was measured by get filtration(GF) technique. The MWD variation by gel filtrationin(GF) for removed DOC in the coagulation process were as follows; for raw water, the percentages of each MWD for total area were < MW 6,500 25.5%, MW 6,500~66,000 67.1%, and > MW 66,000 7.4%. For the same coagulant dosage(12mg/l), the percentages of each MWD for total area by PACl were < MW 6,500 20.5%, MW 6,500~66,000 48.7%, and > MW 66,000 9.1%, and those of FeCl3 were MW 66,000 18.2%. For each coagulant, the removal percentage of MW 6,500~66,000 occurred a little, but at a part of

  • PDF