• Journal of Korea Water Resources Association
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• v.56 no.6
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• pp.373-380
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• 2023

Due to abnormal climate phenomena and climate change in Korea, overgrowth of algae in rivers and reservoirs occurs frequently. Algae in rivers are classified into green algae, blue-green algae, diatom, and other types, and some species of blue-green algae cause problems due to odor and the discharge of toxic substances. In Korea, an algae alert system is in place, and it is issued based on the number of harmful blue-green algae cells. Thus, measuring harmful blue-green algal blooms is very important, and currently, the analysis method of algae involves taking field samples and determining the cell count of green algae, blue-green algae, and diatoms through algal microscopy, which takes a lot of time. Recently, the analysis of algae concentration through Phycocyanin, an alternative indicator for the number of harmful algae cells, has been conducted through remote sensing. However, research on the analysis of the number of blue-green algae cells is currently insufficient. In this study, we water samples for algal analyses were collected from river and counted the number of blue-green algae cells using algae microscopy. We also obtained the Phycocyanin concentration using an optical sensor and acquired algae spectra through a hyperspectral sensor. Based on this, we calculated the equation for estimating blue-green algae cell counts and estimated the number of blue-green algae cells.

• Journal of Korea Water Resources Association
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• v.56 no.2
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• pp.151-163
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• 2023

This study explored the 2022 drought over the Nakdong River watershed. Here, we developed a bivariate regional frequency analysis method to evaluate the risk of hydrological drought. Currently, natural streamflow data are generally limited to accurately estimating the drought frequency. Under this circumstance, the existing at site frequency analysis can be problematic in estimating the drought risk. On the other hand, a regional frequency analysis could provide a more reliable estimation of the joint return periods of drought variables by pooling available streamflow data over the entire watershed. More specifically, the Copula-based regional frequency analysis model was proposed to effectively take into account the tail dependencies between drought variables. The results confirmed that the regional frequency analysis model showed better performance in model fit by comparing the goodness-of-fit measures with the at-site frequency analysis model. We find that the estimated joint return period of the 2022 drought in the Nakdong River basin is about eight years. In the case of the Nam river Dam, the joint return period was approximately 20 years, which can be regarded as a relatively severe drought over the last three decades.

• Journal of Korea Water Resources Association
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• v.44 no.10
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• pp.787-795
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• 2011

Extreme water events such as heavy rainfalls due to recent climate change are continually increasing and their scale has also shown an increasing trend. To overcome these natural disasters, this policy study suggests securing lateral river space as an effective method for extreme flood. To support the importance of restoration and expansion of lateral river space, Gumi upstream region of the Nakdong River basin was chosen as a target area and flood reduction analysis of the washland by using LISFLOOD model have been examined. The 500-year frequency flood was simulated for the estimation of possibly occurable flood level and it turns out that the secured lateral river space on the selected site effectively lowers about 0.53 m flood level and reduces the flood damage of the city on the lower reaches of the river. In addition, based on this result, multilateral river space securing plans were compared, and conservation easement and natural disaster insurance were suggested for sustainable and cost-effective alternatives. The costs of land purchase and conservation easement for securing the river space were also compared.

• Journal of Korea Water Resources Association
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• v.39 no.8 s.169
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• pp.637-644
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• 2006

In this study, the analysis of river naturalness and water quality were executed in the major rivers of the Nakdong River Basin. As a result, the assessment index of the General Evaluation was 1.428 to 4.107 as $1^{st}$ to $4^{th}$ grades. The River Shape was 1.929 to 4.429 as $2^{nd}$ to $4^{th}$ grades and the River Environment was 1.774 to 3.643 as $1^{st}$ to $4^{th}$ grades. As well, evaluation of water quality showed that concentration of pH was 7.102 to 8.497 mg/l, BOD was 0.748 to 5.271 mg/l, DO was 5.077 to 12.335 mg/l and 55 was 3.658 to 19.960 mg/l. The correlation between river naturalness and water quality was analyzed to investigate similarity and independence of river naturalness evaluation index. It was shown that coefficient of correlation was low with value of -0.1503 to -0.5886, therefore, was evaluated as independent.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.386-390
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• 2006

In this study, the analysis of river naturalness and water quality were executed in the major rivers of the Nakdong River Basin. As a result, the assessment index of the General Evaluation was 1.428 to 4.107 as $1^{st}\;to\;4^{th}$ grades. The River Shape was 2.111 to 4.048 as $2^{nd}\;to\;4^{th}$ grades and the River Environment was 1.774 to 3.238 as $1^{st}\;to\;4^{th}$ grades. As well, evaluation of water quality showed that concentration of hydrogen ion was 7.102 to $8.49mg/{\ell}$, BOD was 0.748 to $5.271mg/{\ell}$, DO was 3.668 to $19.960mg/{\ell}$ and SS was $5.077mg/{\ell}$. The correlation between river naturalness and water quality was analyzed to investigate similarity and independence of river naturalness evaluation index. It was shown that coefficient of correlation was low with value of -0.1503 to -0.5886, therefore, was evaluated as independent.

• Journal of Korea Water Resources Association
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• v.33 no.2
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• pp.247-262
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• 2000

In this paper, the WSANN(Water Stage Analysis with Neural Network) model was presented so as to predict flood water stage at Jindong which has been the major stream gauging station in Nakdong river basin. The WSANN model used the improved backpropagation training algorithm which was complemented by the momentum method, improvement of initial condition and adaptive-learning rate and the data which were used for this study were classified into training and testing data sets. An empirical equation was derived to determine optimal hidden layer node between the hidden layer node and threshold iteration number. And, the calibration of the WSANN model was performed by the four training data sets. As a result of calibration, the WSANN22 and WSANN32 model were selected for the optimal models which would be used for model verification. The model verification was carried out so as to evaluate model fitness with the two-untrained testing data sets. And, flood water stages were reasonably predicted through the results of statistical analysis. As results of this study, further research activities are needed for the construction of a real-time warning of the impending flood and for the control of flood water stage with neural network method in river basin. basin.

• Journal of Wetlands Research
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• v.14 no.2
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• pp.243-254
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• 2012

Recently, the use of radar rainfall data that can help tracking of the development and movement of rainfall's spatial distribution is drawing much attention in hydrology. The reliability of existing radar rainfall compared to gauge rainfall data on the ground has not yet been confirmed and so we have difficulties to apply the radar rainfall in hydrology. The radar rainfall for the applications in hydrology are adjusted merging method derived from gage. This study uses the Mean-Field Bias (MFB) and Statistical Objective Analysis (SOA) as correction methods to create adjusted grid-based radar rainfall data which can represent the temporal and spatial distribution of rainfall. This study used a storm event occurred in August 2010 for the adjustment of radar rainfall. In addition, the grid-based distributed rainfall-runoff model (Vflo), which enables more detailed examinations of spatial flux changes in the basin rather than the lumped hydrological models, has been applied to Gamcheon river basin which is a tributary of Nakdong River located in south-eastern part of the Korean peninsular and the basin area is $1005km^2$. The simulated runoff was compared with the observed runoff in an attempt to evaluate the usability of radar rainfall data and the reliability of the correction methods. The error range of peak discharge using each correction method was within 20 percent and the efficiency of the model was between 60 and 80 percent. In particular, the SOA method showed better results than MFB method. Therefore, the SOA method could be used for the adjustment of grid-based radar rainfall and the adjusted radar rainfall can be used as an input data of rainfall-runoff models.

• Korean Journal of Environmental Agriculture
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• v.26 no.3
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• pp.233-238
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• 2007

To assess pollutant loads in Nakdong river from highland agriculture in Kyungbuk province we. analyzed water qualities such as BOD, COD, T-N, T-P and SS in year 2005. BOD values in rainy period (June and July) were relatively higher than those in dry period, and those in 4 sites among 17 sites ranged from 10.71-19.25 mg/L which exceeded water criteria (8 mg/L) for agricultural use. COD values showed similar trends like BOD values. These trends might be caused by outflow of nutrients applied in agricultural lands. T-N content ranged from 0.1 to 14 mg/L. Those in lower reaches of stream were greater in those in upper stream. Compared to T-N contents during non-farming season, T-N content in farming season were higher. These phenomenon could be due to continuous input of nutrients from small watercourses. Averaged T-P content in lower stream during farming season was 0.4 mg/L, which was eight times higher than the limiting level for algae occurrence (0.05 mg/L). BOD, T-P, T-N loads from alpine agricultural practices were 12.25 $kg/km^2{\cdot}day$, 0.55 $kg/km^2{\cdot}day$ and 32.35 $kg/km^2{\cdot}day$, respectively. These values were greater than those from forestry. Therefore, Best management Practices (BMP) for alpine agricultural field are needed to reduce pollutant loads in Nakdong river.

• Korean Journal of Ecology and Environment
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• v.35 no.3 s.99
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• pp.160-171
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• 2002

The impact of summer monsoon on water quality of the lower Nakdong River was evaluated during the summer (June-August) in 1997. Several limnological variables were measured in the interval of $1{\sim}3$ day using an automatic monitoring system (Hydrolab $Recorder^{TM}$) to detect water quality changes caused by rainfall on onehour basis. During the monsoon period (from late June to mid July), 5 times of major rainfall events of >50 mm were recorded in the river basin. Dynamic changes of water quality were observed during the monsoon, and the first rainfall event (June$25{\sim}27$) had a significant influence on the water quality at the lower part of the river. All Parameters were largely changed due to the first rain event, and the changed level was maintained until the end of monsoon period. Nutrient concentrations and turbidity increased and values of the other parameters were declined as a result of water dilution. This rainfall event, Changma, is a meteorological phenomenon caused by the East-Asian monsoon climate. The magnitude and frequency of the rainfall during the early monsoon play an important role in change of water quality and ecosystem characteristics of large river systems.

• Journal of Korean Society of Environmental Engineers
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• v.27 no.12
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• pp.1277-1284
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• 2005

Alkylphenol Polyethoxylate(APEs) and their metabolites were determined in the aquatic environment in the central Nakdong river basin. The concentrations of APE's ranged between $0.62{\sim}11.70\;{\mu}g/L$ from the Nakdong and the Kumho rivers, and were $70.00{\sim}212.50\;{\mu}g/L$ in the samples from the 3rd industrial complex stream and the Dalseo stream, which are both heavily polluted by industrial wastewater and domestic wastewater. The APEs revealed a removal rate of more than 87% by biodegradation and adsorption etc. in the wastewater treatment plant. Nonylphenol polyethoxylates(NPnEO) and Nonylphenol carboxylic acid(NPnEC) consisted of APE metabolites shifted from NP($n=4{\sim}10$)EO and NP($n=4{\sim}10$)EC to NP($n=1{\sim}3$)EO and NP($n=1{\sim}3$)EC or removed by the adsorption of activated sludge during the biological wastewater treatment process. Upper streams have a higher distributed rate of NP($n=7{\sim}10$)EO than water downstream. Continuous monitoring is necessary for non-point sources as well as point sources, such as a wastewater treatment plant. Effluent concentrations of nonylphenol(NP) in industrial wastewater and domestic wastewater averaged about 4.33 and $1.70\;{\mu}g/L$, respectively. In addition, the removal rate average was 90% in the wastewater treatment plant. NP concentrations in the rivers did not exceed $1.0\;{\mu}g/L$, which are prescribed by environmental risk concentration in the USA and Europe. However, NP required continuous monitoring, which detected over $0.1\;{\mu}g/L$ in all river areas.