• Journal of Environmental Impact Assessment
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• v.31 no.4
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• pp.214-225
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• 2022

This study emphasized the soil of environmental impact assessment to devise measures to minimize the negative impact of project implementation on the environment. As a series of efforts for impact assessment procedures, a national inventory-based database was established for urban development projects, and three machine learning model performance evaluation as well as soil pollutant concentration distribution mapping were conducted. Here, nine soil pollutants were mapped to the metropolitan area of South Korea using the Random Forest model, which showed the best performance. The results of this study found that concentrations of Zn, F, and Cd were relatively concerned in Seoul, where urbanization is the most active. In addition, in the case of Hg and Cr6+, concentrations were detected below the standard, which was derived from a lack of pollutants such as industrial and industrial complexes that affect contents of heavy metals. A significant correlation between land cover and pollutants was inferred through the spatial distribution mapping of soil pollutants. Through this, it is expected that efficient soil management measures for minimizing soil pollution and planning decisions regarding the location of the project site can be established.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.693-702
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• 2022

The purpose of this study is to present the problems of urban ecosystem imbalance in Seoul and the need to restore housing functions through comparison with Manhattan, New York, which grew earlier than Seoul and has been striving to solve urban problems and restore urban ecosystems. The residential status in urban commercial use areas was investigated through analysis of the total amount of residential space, characteristics of each type of residential building, and distribution of residential buildings. Through this, it can be seen that most of the space in Seoul's historic city center is biased toward commercial roads, and there are significantly insufficient high- and high-density mixed-use buildings suitable for urban dwellings compared to Manhattan's. In addition, it can be seen that the complex building in the historical city center of Seoul is located adjacent to the outskirts of the target site. In conclusion, Seoul's historical city center does not provide an appropriate residential space for creating an urban ecosystem, and it is necessary to come up with measures to restore housing functions.

• Journal of Korea Water Resources Association
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• v.55 no.11
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• pp.855-863
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• 2022

In this study, the Artificial Neural Network (ANN) was used to mapping air temperature in Seoul. MODerate resolution Imaging Spectroradiomter (MODIS) data was used as auxiliary data for mapping. For the ANN network topology optimizing, scatterplots and statistical analysis were conducted, and input-data was classified and combined that highly correlated data which surface temperature, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), time (satellite observation time, Day of year), location (latitude, hardness), and data quality (cloudness). When machine learning was conducted only with data with a high correlation with air temperature, the average values of correlation coefficient (r) and Root Mean Squared Error (RMSE) were 0.967 and 2.708℃. In addition, the performance improved as other data were added, and when all data were utilized the average values of r and RMSE were 0.9840 and 1.883℃, which showed the best performance. In the Seoul air temperature map by the ANN model, the air temperature was appropriately calculated for each pixels topographic characteristics, and it will be possible to analyze the air temperature distribution in city-level and national-level by expanding research areas and diversifying satellite data.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.3
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• pp.333-342
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• 2022

Due to climate change, increased heavy rainfalls result in flood damage every year. To investigate the storm-runoff reduction effects of Low Impact Development (LID), this study performed runoff analyses using the U.S. Environmental Protection Agency (EPA) Storm Water Management Model (SWMM) for past and future representative storm events of the Yongdu Rainwater Pumping Station basin. As a result, the infiltration loss for representative future rainfalls increased by 3.17 %, and the surface runoff and peak runoff rate increased significantly by 32.50 %, and 128.77 %, respectively. To reduce the increased surface runoff and peak runoff rates, this study investigated the applicability of LID approaches, including a permeable pavement, green roof, and rain garden, by adjusting the LID parameters and the ratio of installation area. We identified the ranges of LID parameters that decreased peak runoff rate and surface runoff, and increased infiltration. In addition, when the application ratio of permeable pavement, green roof, and rain garden was 2:1:3, best performance was attained, leading to a reduction of peak runoff of 26.85 %, infiltration loss 12.01 %, surface runoff 15.11 %, and storage 509.47 %. Based on analyzing the effect of storm runoff reductions for various return periods, it was found that as the return period increased, the proportion of peak runoff and surface runoff increased and the proportion of infiltration loss and storage decreased.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.3
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• pp.53-61
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• 2022

Despite the increasing importance of pedestrians and their walking individualities, walking activity time characteristics are yet to be studied. This study analyzes the walking activity time characteristics by group using the Time Use Survey data. In order to analyze the characteristics of each pedestrian group, cluster analysis and correspondence analysis were performed by dividing the walking styles into utilitarian and leisure-purpose walking. Those who did not undertake utilitarian walking were mainly the worker group, whereas subjects who walked could be classified into homemaker and student groups. The peak of the student group appeared clearly in the morning, with a dispersed peak obtained during the afternoon. Although the peak of the homemaker group was not precise, it was confirmed that they mainly walked in the afternoon. The worker group also did not participate in leisure-purpose walking, while the elderly group mostly undertook walking for leisure. These walking activity time characteristics of pedestrians are expected to be applied when establishing related pedestrian policies.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.5
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• pp.28-41
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• 2022

A road system with CV(Connected Vehicle)s, which is often referred to as a cooperative intelligent transportation system (C-ITS), provides various road information to drivers using an in-vehicle warning system. Road environments with CVs induce drivers to reduce their speed or change lanes to avoid potential risks downstream. Such avoidance maneuvers can be considered to improve driving behaviors from a traffic safety point of view. Thus, empirically evaluating how a given in-vehicle warning information affects driving behaviors, and monitoring of the correlation between them are essential tasks for traffic operators. To quantitatively evaluate the effect of in-vehicle warning information, this study develops a method to calculate compliance rate of drivers where two groups of speed profile before and after road information is provided are compared. In addition, conventional indexes (e.g., jerk and acceleration noise) to measure comfort of passengers are examined. Empirical tests are conducted by using PVD (Probe Vehicle Data) and DTG (Digital Tacho Graph) data to verify the individual effects of warning information based on C-ITS constructed in Seoul metropolitan area in South Korea. The results in this study shows that drivers tend to decelerate their speed as a response to the in-vehicle warning information. Meanwhile, the in-vehicle warning information helps drivers to improve the safety and comport of passengers.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.6
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• pp.146-164
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• 2022

Recently, the Korean government promoted the construction of metropolitan express subway to connect major transportation hub in the metropolitan area within 30 minutes. Most stations of the metropolitan express subway are connected to existing subway stations, so the importance of transfer increased. Although many studies have been conducted on the effect of transfer penalty on route choice, there are few studies on the transfer behavior of the metropolitan express subway. Therefore, in this study, a transfer behavior analysis was conducted on the Shinbundang Line, a representative metropolitan express subway. To analyze the transfer behavior according to the degree of traffic congestion and the presence of fare payment, route choice models were made using transport card data divided according to week, time, and user characteristics. As a result of the analysis, users of the metropolitan express subway had greater disutility to the transfer waiting time compared to the transfer moving time. Furthermore, especially during the peak time, EIVM(Equivalent in-vehicle minutes) of the transfer waiting time was 3.51. In this study, EIVM for metropolitan express subway users were analyzed to be 2.6 minutes, which is significantly lower than the results of previous studies on subways. This suggests that there is a difference in the transfer penalty between subways and metropolitan express subway, and that it is necessary to apply the transfer penalty between subways and express subway differently when forecasting subway traffic demand.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.6
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• pp.132-145
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• 2022

This study was based on the black box images of traffic accidents on highways, cluster analysis and prediction model comparisons were carried out. As analysis data, vehicle driving behavior and road surface conditions that can grasp road and traffic conditions just before the accident were used as explanatory variables. Considering that traffic accident data is affected by many factors, cluster analysis reflecting data heterogeneity is used. Each cluster classified by cluster analysis was divided based on the ratio of the severity level of the accident, and then an accident prediction evaluation was performed. As a result of applying the Logit model, the accident prediction model showed excellent predictive ability when classifying groups by cluster analysis and predicting them rather than analyzing the entire data. It is judged that it is more effective to predict accidents by reflecting the characteristics of accidents by group and the severity of accidents. In addition, it was found that a collision accident during stopping such as a secondary accident and a side collision accident during lane change act as important driving behavior variables.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.441-441
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• 2023

통합물관리는 2000년 이전부터 필요성이 논의되다가 2019년 물관리기본법이 제정·시행되면서 수량, 수질, 수생태, 방재 등 분야의 물관리 통합이 단계적으로 추진되고 있다. 수자원장기종합계획, 물환경관리 기본계획, 국가물관리기본계획, 4대강별 유역물관리종합계획 등이 수립되거나 수립중에 있다. 2021년 6월에 수립된 국가물관리기본계획에서는 통합물관리 정량지표들을 물환경, 물이용, 물안전, 물산업, 거버넌스의 5개 분야로 구분하여 제시하였고, 4대강 유역물관리종합계획(안)에서는 국가기본계획의 지표들을 근간으로 유역별 특성을 고려한 정량지표를 설정하고 있다. 수자원장기종합계획부터 유역물관리종합계획까지 통합물관리 정량지표들의 변천 내용과 현황을 검토하였다. 수자원장기종합계획(2016~2020)의 전략과 목표는 "①맑은 물 공급: 급수보급율, 관망 복선화율, 댐 부족량 공급기준, 비상급수 피해인구, 스마트시티 음용률, 누수율 저감, 물 기본법 제정, ②홍수안전 기반구축: 하천기본계획, 하천정비, 수해금액, 도시하천 종합치수대책 수립, 국가하천 홍수예보 지점, 홍수예보시간 단축지점 비율, ③친수환경 조성: 하천유지유량, 하천 이용객, 어류종 및 철새종 증가, ④수자원산업 및 기술개발: 일자리, 수자원산업 육성제도, 해외수주액, 외국 MOU, 국제회의, 남북공유하천 협의"이었다. 물환경관리 기본계획(2016~2025)의 전략과 목표는 "①물순환 체계: 불투수면적률 25% 초과지역, ②깨끗한 물 확보: 상수원 수질달성, ③생태계 서비스 증진: 수생태계 건강성 달성, ④물환경 기반 조성: 산업폐수 유해물질 배출저감, 상수원 4대강 보의 총인 농도와 남조류 세포수, ⑤경제·문화적 가치 창출: 국민체감 만족도"이었다. 국가물관리기본계획에서는 "①물환경: 하천·호소 목표수질 달성률, 수생태계 건강성 B등급 이상 비율, ②물이용: 수돗물 만족률-직·간접 음용률, 노후 상수관로-하수관로 개량, ③물안전: 가뭄피해 인구, 홍수피해 인구-피해액, 댐안전성 강화율, ④물산업: 물관리 R&D 예산, 수량·수질·수생태 통합측정 중권역 비율, 물산업 매출액의 수출액 비중, 한국 주도 국제협력 의제, ⑤거버넌스: 미정"을 계획지표로 하였다. 유역종합계획에서는 4대강별로 거버넌스를 포함하여, "①물환경: 국가계획지표, 주요 상수원 수질, ②물이용: 노후 상하수관로 개량, 지방상수도 유수율, ③물안전: 한해 인구, 수해 인구-피해액, 하천정비율, ④물산업: 물산업 일자리 창출, ⑤거버넌스: 물포럼, 시민참여활동"을 정량지표로 고려하고 있다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.2
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• pp.175-185
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• 2023

As drought risk increases due to climate change, various research works are underway around the world to respond to drought so as to minimize drought damage. In particular, in recent years, many studies are focused on analyzing regional patterns of drought in a comprehensive manner, however there is still insufficient to quantitatively identify drought-risk areas in a large river basin considering climate change in Korea. In this study, we calculated the Standardized Precipitation Index (SPI) and the Modified Standardized Precipitation Index (M_SPI) as representative meteorological drought index, and performed spatial autocorrelation analysis to identify the drought hotspot region under climate change scenarios of Representative Concentration Pathway (RCP) 4.5 and RCP 8.5. The SPI was calculated by estimating parameters for each observation station within the study area, whereas the M_SPI was calculated by estimating parameters for the entire study area. It is more reasonable to use the M_SPI for assessing meteorological drought from an overall perspective within the study area. When the M_SPI was used, long-term droughts showed drought hotspot areas clearly larger than short-term droughts. In addition, the drought hotspot area moved from the center of the Nakdong River basin to the Seomjin River basin over time. Especially, the moving patterns of the short-term/long-term drought were apparent under the RCP 4.5, whereas the moving patterns of the long-term drought were distinct under the RCP 8.5 scenarios.