• Journal of Korean Society on Water Environment
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• v.29 no.6
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• pp.730-738
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• 2013

In recent years, low impact development (LID) has emerged as an effective approach to control stormwater in an urban area, and watershed and stormwater managers need modeling tools to evaluate alternative plans for controlling stormwater. This study illustrates how to design and evaluate the effect of non-point pollutant management using SUSTAIN which is developed by USEPA. SUSTAIN can provide evaluating, selecting, and placing LID facilities in an urban catchment based on user-defined cost-effectiveness criteria. Also, this paper suggests a minimal methodology for estimating model parameters for modeling an ungauged urban catchment to reflect the situation of typical Korean urban interested catchments which are usually ungauged. In addition, the optimal length of various LID facilities and the optimal number of units in our test catchment are estimated.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.36-36
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• 2016

하천정비나 유역종합 치수계획 등 수자원계획을 수립하는 과정에 있어 하천의 설계홍수량 추정은 필수적이며, 하천의 수공구조물의 안전성과 수문학적 위험도를 산정하는데도 활용되고 있다. 그러나 매년 관측되는 강우량 자료에 비해 유출량 자료의 길이가 비교적 짧아 신뢰성 있는 홍수량자료의 구축이 어려운 실정이며, 미계측 유역에 위치한 중소규모 하천의 설계홍수량과 같은 수문학적 자료는 매우 제한적이다. 이러한 이유로 본 연구에서는 기 수립된 하천정비기본계획의 자료들을 활용하여 유역의 특성(면적, 경사, 고도)이 고려되는 새로운 홍수량 산정식을 개발하였으며, Bayesian GLM(generalized linear method) 기법을 활용하여 미계측 유역의 지역화를 통한 홍수량의 추정이 가능하도록 하였다. 또한 Hierarchical Bayesian 기법을 활용하여 개발된 공식에 활용되는 매개변수의 불확실성을 구간을 산정하였다. Bayesian 기법의 도입으로 산정되는 홍수량의 불확실성 구간을 정량적으로 제시할 수 있었으며, 제안된 연구 결과는 미계측 유역의 홍수량을 추정하는 도구로서 활용성이 높을 것으로 기대된다.

• The Research Journal of the Costume Culture
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• v.29 no.2
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• pp.222-239
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• 2021

In this study, six mainland Chinese designer brands-Xander Zhou, Sankuanz, Sean Suen, Feng Chen Wang, Pronounce, and Angel Chen-were selected that had their works presented at both Chinese and global fashion shows between 2016 and 2021. By analyzing the design characteristics of each brand, it is possible to understand the style characteristics and trends of Chinese menswear designs. A case study approach was adopted utilizing literature data, whereby 1663 photos were collected from the fashion information website POP (www.pop-fashion.com). Changes in Chinese men's image and the menswear market were identified. The design characteristics of modern Chinese menswear are as follows. First, the results from analyzing the target brands show that each brand has a distinct personality. Compared with the traditional or formal style, urban casual and sports styles (based on street style) account for a larger proportion. Second, the boundaries between different styles are becoming ambiguous, and contrasting styles are harmoniously expressed by breaking down boundaries through changes and combinations of colors, materials, and details. Third, after examining the overall trend, 2018 was a watershed point, after which the design trend has changed from either conservative or exaggerated to a practical and everyday style, demonstrating a genderless trend.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.149-149
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• 2022

Accurate quantitative evaluation of baseflow contribution to streamflow is imperative to address seasonal drought vulnerability, flood occurrence and groundwater management concerns for efficient and sustainable water resources management in watersheds. Several baseflow separation algorithms using recursive filters, graphical method and tracer or chemical balance have been developed but resulting baseflow outputs always show wide variations, thereby making it hard to determine best separation technique. Therefore, the current global shift towards implementation of artificial intelligence (AI) in water resources is employed to compare the performance of deep learning models with conventional hydrograph separation techniques to quantify baseflow contribution to streamflow of Piney River watershed, Tennessee from 2001-2021. Streamflow values are obtained from the USGS station 03602500 and modeled to generate values of Baseflow Index (BI) using Web-based Hydrograph Analysis (WHAT) model. Annual and seasonal baseflow outputs from the traditional separation techniques are compared with results of Long Short Term Memory (LSTM) and simple Gated Recurrent Unit (GRU) models. The GRU model gave optimal BFI values during the four seasons with average NSE = 0.98, KGE = 0.97, r = 0.89 and future baseflow volumes are predicted. AI offers easier and more accurate approach to groundwater management and surface runoff modeling to create effective water policy frameworks for disaster management.

• Korean Journal of Ecology and Environment
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• v.40 no.2
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• pp.327-336
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• 2007

This study assessed ecological health using a multi-metric fish model from 15 sites in the headwater watershed of southern Han River during June${\sim}$August 1999 and then compared the health with conventional community diversity index to figure out differences between health and diversity index. For the analysis, we adopted 10 metric IBI model for regional applications. During this survey, total number of species sampled were 24 (6 families) and varied depending on magnitude of ecological disturbance and stream order. In the mountainous streams, mean proportion of sensitive and insectivore species was composed of 91% and 56%, respectively, indicating a potential healthy conditions. However, tolerant species with 66% and omnivore species with 76% were sampled from the 2nd order stream, which was shown deterioration in the physical habitat quality. In the overall watershed, mean IBI value was 38, judging as "fair" condition by the health criteria. Values of Individual IBI were closely associated with stream order and this pattern was similar to other mountainous streams showing low chemical pollutions and disturbance. Our comparison between IBI and diversity index over the stream order showed a distinct difference; Shannon-Weaver diversity index overestimated the actual community conditions and the variation range in the 2nd order stream was greater in the diversity index. Overall data suggest that the multi-metric approach may to a useful tool for stream ecosystem management and the conventional diversity index may not effective unless the stream order is considered for the stream evaluation.

• Journal of the Korean Society of Hazard Mitigation
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• v.5 no.2 s.17
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• pp.9-16
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• 2005

This paper presents the use of an Artificial Neural Network (ANN) as a viable means of forecasting Inundation Damage Area (IDA) in many watersheds. In order to develop the forecasting model with various environmental factors, we selected 108 watershed areas in South Korea and collected 49 damage data sets from 1990 to 2000, of which each set is composed of 27 parameters including the IDA, rainfall amount, and land use. After successful training processes of the ANN, a good agreement (R=0.92) is obtained (under present conditions) between the measured values of the IDA and those predicted by the developed ANN using the remaining 26 data sets as input parameters. The results indicate that the inundation damage is affected by not only meteorological information such as the rainfall amount, but also various environmental characteristics of the watersheds. So, the ANN proves its present ability to predict the IDA caused by an event of complex factors in a specific watershed area using accumulated temporal-spatial information, and it also shows a potential capability to handle complex non-linear dynamic phenomena of environmental changes. In this light, the ANN can be further harnessed to estimate the importance of certain input parameters to an output (e.g., the IDA in this study), quantify the significance of parameters involved in pre-existing models, and contribute to the presumption, selection, and calibration of input parameters of conventional models.

• Journal of Korea Water Resources Association
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• v.51 no.8
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• pp.677-686
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• 2018

There remain numerous ungauged watersheds in Korea owing to limited spatial and temporal streamflow data with which to estimate hydrological model parameters. To deal with this problem, various regionalization approaches have been proposed over the last several decades. However, the results of the regionalization models differ according to climatic conditions and regional physical characteristics, and the results of the regionalization models in previous studies are generally inconclusive. Thus, to improve the performance of the regionalization methods, this study attaches hydrological model parameters obtained using a spatial proximity model to the explanatory variables of a regional regression model and defines it as a hybrid regionalization model (hybrid model). The performance results of the hybrid model are compared with those of existing methods for 37 test watersheds in South Korea. The GR4J model parameters in the gauged watersheds are estimated using a shuffled complex evolution algorithm. The variation inflation factor is used to consider the multicollinearity of watershed characteristics, and then stepwise regression is performed to select the optimum explanatory variables for the regression model. Analysis of the results reveals that the highest modeling accuracy is achieved using the hybrid model on RMSE overall the test watersheds. Consequently, it can be concluded that the hybrid model can be used as an alternative approach for modeling ungauged watersheds.

• Journal of Korea Water Resources Association
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• v.42 no.2
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• pp.161-168
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• 2009

The purpose of this study is to evaluate the variation of probability flood according to the flow regulation by multi-purpose dams (Soyang and Chungju) in the Han-river basin, Korea. SWAT-K (Soil and Water Assessment Tool-Korea) was used in order to generate regulated and unregulated daily streamflows upstream of Paldang dam. Simulated flow regulated by the Soyang and Chungju dams was calibrated by comparison with the observed inflow data at Paldang reservoir. Generally the ratio of flood flows to daily streamflows is known to decrease with drainage area in a watershed. Regulated and unregulated flood flows were obtained from the relationship between flood flows and daily streamflows. Extreme Type-I distribution was applied for flood frequency analysis and L-moment method was used for parameter estimation. This is a novel approach capable of understanding the variation in flood frequency with dam operation for the relatively large watershed scale, and this will helps improve the applicability of daily stream flow data for use in flood control as well as in water utilization.

• Korean Journal of Agricultural and Forest Meteorology
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• v.12 no.3
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• pp.197-206
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• 2010

To provide baseline information essential for assessing environmental impacts of monsoon rainfalls in a mountainous watershed under mixed land use, we investigated spatiotemporal variations in water quality using a combined approach of seasonal water quality survey and intensive storm samplings. Biannual water sampling at nine locations encompassing major land use types showed generally lower electrical conductivity and Cl- concentrations during the typical wet period compared to the dry period, indicating rainfall-induced dilution of dissolved ions. Total metal concentrations, however, were significantly higher during the monsoon period, probably associated with rainfall-induced increases in suspended sediments. Intensive storm sampling during a small monsoon rainfall event (18 mm) and an extreme event (452 mm) showed rapid changes in both suspended sediments and dissolved solutes in an agricultural stream draining the Haean Basin where arable lands have expanded rapidly over the recent decades. By contrast, a nearby forest stream derived from North Korea showed little responses to the small event compared to larges changes during the extreme event. In the agricultural stream total Pb concentrations showed significant positive relationships with suspended sediments. Although limited sampling frequency and locations require a cautious interpretation, the overall results suggest that expansion of agricultural fields in steep mountainous watersheds can increase the susceptibility of soil erosion and its off-site environmental impacts under increasing rainfall variability and extremes.

• Journal of the Korean Association of Geographic Information Studies
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• v.16 no.4
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• pp.64-78
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• 2013

To achieve economic efficiency in a basin flood mitigation planning, it is important to determine optimal sizes of investment alternatives. Investment alternative means decision proposals composed with one more individual proposals, and it is not easy to determine an optimal one because there are so many individual proposals. This study aims to propose the approach of determining the optimal project size for raising dam height. This study applies two scenarios to determine investment alternatives for the 4 dams in the Yeongsan River basin. 'Scenario1' calculates flood mitigation for each individual proposal. And 'Scenario2' calculates that for each investment alternative composed with one more individual proposals. As the results, 'Scenario2' is better than 'Scenario1' for selecting a economically optimal dam height considering watershed conditions comprehensively.