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Comparative Analysis of the Effects of Heat Island Reduction Techniques in Urban Heatwave Areas Using Drones (드론을 활용한 도시폭염지역의 열섬 저감기법 효과 비교 분석)

  • Cho, Young-Il;Yoon, Donghyeon;Shin, Jiyoung;Lee, Moung-Jin
    • Korean Journal of Remote Sensing
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    • v.37 no.6_3
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    • pp.1985-1999
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    • 2021
  • The purpose of this study is to apply urban heat island reduction techniques(green roof, cool roof, and cool pavements using heat insulation paint or blocks) recommended by the Environmental Protection Agency (EPA) to our study area and determine their actual effects through a comparative analysis between land cover objects. To this end, the area of Mugye-ri, Jangyu-myeon, Gimhae, Gyeongsangnam-do was selected as a study area, and measurements were taken using a drone DJI Matrice 300 RTK, which was equipped with a thermal infrared sensor FLIR Vue Pro R and a visible spectrum sensor H20T 1/2.3" CMOS, 12 MP. A total of nine heat maps, land cover objects (711) as a control group, and heat island reduction technique-applied land covering objects (180) were extracted every 1 hour and 30 minutes from 7:15 am to 7:15 pm on July 27. After calculating the effect values for each of the 180 objects extracted, the effects of each technique were integrated. Through the analysis based on daytime hours, the effect of reducing heat islands was found to be 4.71℃ for cool roof; 3.40℃ for green roof; and 0.43℃ and -0.85℃ for cool pavements using heat insulation paint and blocks, respectively. Comparing the effect by time period, it was found that the heat island reduction effect of the techniques was highest at 13:00, which is near the culmination hour, on the imaging date. Between 13:00 and 14:30, the efficiency of temperature reduction changed, with -8.19℃ for cool roof, -5.56℃ for green roof, and -1.78℃ and -1.57℃ for cool pavements using heat insulation paint and blocks, respectively. This study was a case study that verified the effects of urban heat island reduction techniques through the use of high-resolution images taken with drones. In the future, it is considered that it will be possible to present case studies that directly utilize micro-satellites with high-precision spatial resolution.

A Study of a Correlation Between Groundwater Level and Precipitation Using Statistical Time Series Analysis by Land Cover Types in Urban Areas (시계열 분석법을 이용한 도시지역 토지피복형태에 따른 지하수위와 강수량의 상관관계 분석)

  • Heo, Junyong;Kim, Taeyong;Park, Hyemin;Ha, Taejung;Kang, Hyungbin;Yang, Minjune
    • Korean Journal of Remote Sensing
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    • v.37 no.6_2
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    • pp.1819-1827
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    • 2021
  • Land-use/cover change caused by rapid urbanization in South Korea is one of the concerns in flood risk management because groundwater recharge by precipitation hardly occurs due to an increase in impermeable surfaces in urban areas. This study investigated the hydrologic effects of land-use/cover on groundwater recharge in the Yeonje-gu district of Busan, South Korea. A statistical time series analysis was conducted with temporal variations of precipitation and groundwater level to estimate lag-time based on correlation coefficients calculated from auto-correlation function (ACF), cross-correlation function (CCF), and moving average (MA) at five sites. Landform and land-use/cover within 250 m radius of the monitoring wells(GW01, GW02, GW03, GW04, and GW05) at five sites were identified by land cover and digital map using Arc-GIS software. Long lag-times (CCF: 42-71 days and MA: 148-161 days) were calculated at the sites covered by mainly impermeable surfaces(GW01, GW03, and GW05) while short lag-times(CCF: 4 days and MA: 67 days) were calculated at GW04 consisting of mainly permeable surfaces. The results suggest that lag-time would be one of the good indicators to evaluate the effects of land-use/cover on estimating groundwater recharge. The results of this study also provide guidance on the application of statistical time series analysis to environmentally important issues on creating an urban green space for natural groundwater recharge from precipitation in the city and developing a management plan for hydrological disaster prevention.

A Study on the Structure of a Local Prison in the Joseon Dynasty Based on the comparison of excavation sites and antique maps (조선시대 지방 옥(獄) 구조에 관한 고찰 - 발굴 유적과 고지도 비교를 중심으로 -)

  • LEE, Eunseok
    • Korean Journal of Heritage: History & Science
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    • v.54 no.4
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    • pp.246-259
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    • 2021
  • Research has been conducted in various fields on a local fortress (eupseong) in the Joseon Dynasty, but the archaeological research on the prison (獄), which is part of the internal government, has not been conducted properly. Since the prison was first discovered in Gyeongju in 1997, there has been a necessity for research on the deployment and structure of the prison. This includes the office where jailers worked and had night duty and also the enclosure that keeps the prisoners inside. But the research came to a standstill because there was no comparative data. However, compared to the more recent findings of the Yeonil Prison and the Gonju Prison, we can identify that the structure was built during the early to the late Joseon Dynasty. King Sejong designed the standard prison blueprint called Anokdo (犴獄圖) in 1426 to manage prisoners nationwide and revised it once in 1439 to give better treatment during the winter and summer seasons. The Yeonil Prison operated from 1421 to 1743 and shows the structure of the prisons during the early to mid-Joseon period. It was very similar to the Gyeongju Prison on a smaller scale, which was operated until the late Joseon Dynasty with two main structures, one east and one west, and a circular fence. This structure was maintained even in the Gongju Prison during the late Joseon Dynasty, and it remains visible in photographs. The prison of the Joseon Dynasty had a circular fence with an estimated height of 3 meters and two buildings that separated male and female prisoners. The prison was divided into men on the east and women on the west with tile-roofed house structures that were difficult to escape. In front of the circular fence, there was an office with a thatched roof for the jailers and access to the prison was only possible through a double prison gate. The layout of the building reflects the improvements of the king's prison design made during Joseon Dynasty improving the environment of prisoners who are on trial and separating men and women in order to embody humanism.

Features of the Military Uniforms of the Low-Ranking Soldier Belonging to Jangyongyoung in the King Jeongjo Period Seojangdaeyajodo (정조대 <서장대야조도(西將臺夜操圖)> 장용영(壯勇營) 하급 군사(軍士)의 군복(軍服) 고증)

  • LEE, Kyunghee;KIM, Youngsun;LEE, Eunjoo
    • Korean Journal of Heritage: History & Science
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    • v.54 no.4
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    • pp.90-111
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    • 2021
  • Seojangdaeyajodo is a drawing of Jangyongyoung's military night training on February 12 (lunar leap month), 1795. Focusing on the Seojangdaeyajodo, the positions and roles of the low-ranking soldier belonging to Jangyongyoung, and the composition and characteristics of military uniforms for each role were examined. The results ascertained by the historical research on the military uniforms are as follows. Deungronggun, noeja, sunryeongsu and daegisu who were placed in front of the king's Seojangdae were the low-ranking soldiers belonging to Jangyongyoung. The soldiers who escorted the king around Seojangdae were lowranking soldiers belonging to Jangyongyoung. The military uniform of the deungronggun was consisted of a jeolrip, a black heopsu, red gweja, indigo jeondae, white haengjeon and black shoes. The low-ranking soldier's heopsu suggested that it could also be a sochangui. He carried a sword and a red lantern. Noeja were divided into a sinjeonsu and a jujangsu. The military uniform of the noeja was consisted of a Jujeolrip, a black heopsu, red gweja, indigo jeondae, white haengjeon, and black shoes. Sunryeongsu were divided into a sinsigisu and a younggisu. The military uniform of the sunryeongsu was consisted of a jeongeon, a black heopsu, red gweja, indigo jeondae white haengjeon and black shoes. He carried a sword and a red lantern. The military uniform of the daegisu was consisted of a jeongeon, a black heopsu, blue gweja, indigo jeondae, white haengjeon and black shoes. He carried a sword and a flag. The soldiers surrounding Seojangdae and the seongjeonggun defending the fortress were the Chogun. The military uniform of the chogun was consisted of a jeolrip, a black heopsu, houi, indigo jeondae, white haengjeon and straw shoes. Houi was applying the five directional colors: the east is blue, the west is white, the south is red, and the north is black. He carried a sword and a gun. It was presented as an illustration of costumes that could produce contents by reflecting on these historical results. The basic principle of the illustration was to present the standards for 3D content production or actual production. Samples of form, color, and material according to the times and status were presented. The front, the side, and the back of each costume and the feature were presented, and the colors were presented in RGB and CMYK.

Comparative Assessment of Linear Regression and Machine Learning for Analyzing the Spatial Distribution of Ground-level NO2 Concentrations: A Case Study for Seoul, Korea (서울 지역 지상 NO2 농도 공간 분포 분석을 위한 회귀 모델 및 기계학습 기법 비교)

  • Kang, Eunjin;Yoo, Cheolhee;Shin, Yeji;Cho, Dongjin;Im, Jungho
    • Korean Journal of Remote Sensing
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    • v.37 no.6_1
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    • pp.1739-1756
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    • 2021
  • Atmospheric nitrogen dioxide (NO2) is mainly caused by anthropogenic emissions. It contributes to the formation of secondary pollutants and ozone through chemical reactions, and adversely affects human health. Although ground stations to monitor NO2 concentrations in real time are operated in Korea, they have a limitation that it is difficult to analyze the spatial distribution of NO2 concentrations, especially over the areas with no stations. Therefore, this study conducted a comparative experiment of spatial interpolation of NO2 concentrations based on two linear-regression methods(i.e., multi linear regression (MLR), and regression kriging (RK)), and two machine learning approaches (i.e., random forest (RF), and support vector regression (SVR)) for the year of 2020. Four approaches were compared using leave-one-out-cross validation (LOOCV). The daily LOOCV results showed that MLR, RK, and SVR produced the average daily index of agreement (IOA) of 0.57, which was higher than that of RF (0.50). The average daily normalized root mean square error of RK was 0.9483%, which was slightly lower than those of the other models. MLR, RK and SVR showed similar seasonal distribution patterns, and the dynamic range of the resultant NO2 concentrations from these three models was similar while that from RF was relatively small. The multivariate linear regression approaches are expected to be a promising method for spatial interpolation of ground-level NO2 concentrations and other parameters in urban areas.

NOx Emission Characteristics with Operating Conditions of SNCR in SRF Usage Facilities (고형연료제품 사용시설에서의 SNCR의 운전조건에 따른 NOx 배출특성)

  • Seo, Je-Woo;Kim, Younghee
    • Clean Technology
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    • v.27 no.4
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    • pp.350-358
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    • 2021
  • The results of this study shows that the combustor temperature ranged from 848.27 to 1,026.80 ℃, averaging about 976.61 ℃, and the NOx concentration increased as the temperature increased. The urea usage ranged from 291.00 to 693.00 kg d-1, averaging about 542.34 kg d-1, and the NOx concentration decreased as the urea usage increased. Residence time was about 3.38 to 9.17 s, averaging about 5.22 s, about 2.61 times larger than the 2 s of the design details. This is 1,086 kg h-1, averaging about 55.71%, compared to the 1,950 kg h-1 SRF input permission standard. The combustion chamber area is constant, but the residence time is shown to increase with the decrease of exhaust gas. The O2/CO ratio was 847.05 to 14,877.34, averaging about 3,111.30, and the NOx concentration slightly increased as the O2/CO ratio increased. As the combustor temperature and O2/CO ratio increased, the combustion reaction with nitrogen in the air increased and the NOx concentration slightly increased. As the urea usage and residence time increased, the NOx concentration decreased slightly with an increase in reactivity with NOx. The NOx concentration at the stack ranged from 7.88 to 34.02 ppm with an average of 19.92 ppm, and was discharged within the 60 ppm emission limit value. The NOhx emission factor was 1.058 to 1.795 kg ton-1, averaging about 1.450 kg ton-1. This value was about 24.87% of the maximum emission factor of 5.830 kg ton-1 of other solid fuels. Other synthetic resins and industrial wastes were 79.80% and 43.65% compared to 1.817 kg ton-1 and 3.322 kg ton-1, respectively. This value was similar to 1.400 kg ton-1 of RDF in the NIER notice (2005-9), 10.98% compared to the maximum SRF of 13.210 kg ton-1. Therefore, the NOx emission factor had a large deviation.

The Status Review on Excavation and Maintenance of the Baekje Royal Tombs (백제 왕릉의 조사와 정비 현황 검토 - 백제역사유적지구를 중심으로 -)

  • Hwanhee, KIM;Naeun, LEE
    • Korean Journal of Heritage: History & Science
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    • v.54 no.4
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    • pp.260-285
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    • 2021
  • This article deals with the current status of investigation of the royal tombs of Baekje (Gongju Songsan-ri Tomb, Buyeo Neungsan-ri Tomb, Iksan Ssangneung) from the Japanese colonial period to the present. A review of the maintenance status is also conducted to see if the survey content was actually reflected in the restoration maintenance of the ruins. First, the structure scale and characteristics of the royal tombs of Baekje during the Woongjin and Sabi periods were identified by examining the survey content organized by period and feature. Through the recent re-excavation survey, it was confirmed that the results of the research during the Japanese colonial period were being verified. Next, before examining the maintenance status of the Baekje royal tombs, related content about maintenance of laws and regulations were extracted to establish the maintenance standards. It was confirmed that the most importance part of maintenance is 'maintenance of the original form' without compromising the authenticity of cultural properties. Based on these criteria, the maintenance status was reviewed. The main part of the burial tomb is located underground, so maintenance is mainly made around the tomb, which is the upper structure. However, most of the original burial mounds have been lost or damaged, so it is difficult to determine their original form. In fact, constant changes in the size and location of tombs from the Japanese colonial period to the present were confirmed in the Songsan-ri and Neungsan-ri tombs, meaning that the current maintenance status is problematic. On the other hand, in the case of Ssangneung, not only are the tombs relatively intact, but there are also few changes in the records, so it seems that maintenance was carried out that preserved the original form of the tombs. Therefore, the maintenance of tombs in the future should be based on 'maintaining the original form', but it is recommended that the 'education and utilization' plan be prepared after determining whether or not to restore the tomb and the degree of restoration.

Analysis of Co-registration Performance According to Geometric Processing Level of KOMPSAT-3/3A Reference Image (KOMPSAT-3/3A 기준영상의 기하품질에 따른 상호좌표등록 결과 분석)

  • Yun, Yerin;Kim, Taeheon;Oh, Jaehong;Han, Youkyung
    • Korean Journal of Remote Sensing
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    • v.37 no.2
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    • pp.221-232
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    • 2021
  • This study analyzed co-registration results according to the geometric processing level of reference image, which are Level 1R and Level 1G provided from KOMPSAT-3 and KOMPSAT-3A images. We performed co-registration using each Level 1R and Level 1G image as a reference image, and Level 1R image as a sensed image. For constructing the experimental dataset, seven Level 1R and 1G images of KOMPSAT-3 and KOMPSAT-3A acquired from Daejeon, South Korea, were used. To coarsely align the geometric position of the two images, SURF (Speeded-Up Robust Feature) and PC (Phase Correlation) methods were combined and then repeatedly applied to the overlapping region of the images. Then, we extracted tie-points using the SURF method from coarsely aligned images and performed fine co-registration through affine transformation and piecewise Linear transformation, respectively, constructed with the tie-points. As a result of the experiment, when Level 1G image was used as a reference image, a relatively large number of tie-points were extracted than Level 1R image. Also, in the case where the reference image is Level 1G image, the root mean square error of co-registration was 5 pixels less than the case of Level 1R image on average. We have shown from the experimental results that the co-registration performance can be affected by the geometric processing level related to the initial geometric relationship between the two images. Moreover, we confirmed that the better geometric quality of the reference image achieved the more stable co-registration performance.

Sentinel-1 SAR image-based waterbody detection technique for estimating the water storage in agricultural reservoirs (농업저수지의 저수량 추정을 위한 Sentinel-1 SAR 영상 기반 수체탐지 기법)

  • Jeong, Jaehwan;Oh, Seungcheol;Lee, Seulchan;Kim, Jinyoung;Choi, Minha
    • Journal of Korea Water Resources Association
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    • v.54 no.7
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    • pp.535-544
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    • 2021
  • Agricultural water occupies 48% of water demand, and management of agricultural reservoirs is essential for water resources management within agricultural basins. For more efficient use of agricultural water, monitoring the distribution of water resources in agricultural reservoirs and agricultural basins is required. Therefore, in this study, three threshold determination methods (i.e., fixed threshold, Otsu threshold, Kittler-Illingworth (KI) threshold) were compared to detect terrestrial water bodies using Sentinel-1 images for 3 years from 2018 to 2020. The purpose of this study was to evaluate methods for determining threshold values to more accurately estimate the reservoir area. In addition, by analyzing the relationship between the water surface and water storage at the Edong, Gosam, and Giheung reservoirs, water storage based on the SAR image was estimated and validated with observations. The thresholding method for detecting a waterbody was found to be the most accurate in the case of the KI threshold, and the water storage estimated by the KI threshold indicated a very high agreement (r = 0.9235, KGE' = 0.8691). Although the seasonal error characteristics were not observed, the problem of underestimation at high water levels may occur; the relationship between the water surface and the water storage could change rapidly. Therefore, it is necessary to understand the relationship between the water surface area and water storage through ground observation data for a more accurate estimation of water storage. If the use of SAR data through water resources satellites becomes possible in the future, based on the results of this study, it is judged that it will be beneficial for monitoring water storage and managing drought.

Factor Analysis Affecting on Changes in Handysize Freight Index and Spot Trip Charterage (핸디사이즈 운임지수 및 스팟용선료 변화에 영향을 미치는 요인 분석)

  • Lee, Choong-Ho;Kim, Tae-Woo;Park, Keun-Sik
    • Journal of Korea Port Economic Association
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    • v.37 no.2
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    • pp.73-89
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    • 2021
  • The handysize bulk carriers are capable of transporting a variety of cargo that cannot be transported by mid-large size ship, and the spot chartering market is active, and it is a market that is independent of mid-large size market, and is more risky due to market conditions and charterage variability. In this study, Granger causality test, the Impulse Response Function(IRF) and Forecast Error Variance Decomposition(FEVD) were performed using monthly time series data. As a result of Granger causality test, coal price for coke making, Japan steel plate commodity price, hot rolled steel sheet price, fleet volume and bunker price have causality to Baltic Handysize Index(BHSI) and charterage. After confirming the appropriate lag and stability of the Vector Autoregressive model(VAR), IRF and FEVD were analyzed. As a result of IRF, the three variables of coal price for coke making, hot rolled steel sheet price and bunker price were found to have significant at both upper and lower limit of the confidence interval. Among them, the impulse of hot rolled steel sheet price was found to have the most significant effect. As a result of FEVD, the explanatory power that affects BHSI and charterage is the same in the order of hot rolled steel sheet price, coal price for coke making, bunker price, Japan steel plate price, and fleet volume. It was found that it gradually increased, affecting BHSI by 30% and charterage by 26%. In order to differentiate from previous studies and to find out the effect of short term lag, analysis was performed using monthly price data of major cargoes for Handysize bulk carriers, and meaningful results were derived that can predict monthly market conditions. This study can be helpful in predicting the short term market conditions for shipping companies that operate Handysize bulk carriers and concerned parties in the handysize chartering market.