• Title/Summary/Keyword: burn severity

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An Etiology Report for Burns Caused by Korean Folk Remedies

  • Hong Sil Joo;Hyun Been Kim
    • Archives of Plastic Surgery
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    • v.50 no.3
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    • pp.305-310
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    • 2023
  • Background In this modern era of science-based medicine, some people still accept folk remedies as an alternative form of medicine. However, misinformation and misuse of folk medicines can result in dangerous complications. Among the possible complications of folk remedy use, this study focused on the clinical characteristics of burns caused by folk remedies. Methods We retrospectively reviewed the clinical records of patients who had been treated for burns caused by folk remedies from May 2015 to April 2022. Data were collected on patients' age and gender, type of folk remedy, reason for using the folk remedy, the severity of the burn, the number of wounds, lesion type, and type of treatment. Results We found 59 patients with burns due to folk remedies. Most were female (76.3%) and ≥ 60 years old (72.9%). The most common type of folk remedy was moxibustion (74.6%), followed by the use of glacial acetic acid (20.3%). The reasons for using folk remedies were arthralgia relief (39%), health improvement (18.6%), and treatment of tinea pedis (11.9%). Most patients had multiple wound sites and had burns that were considered severe, requiring surgical treatment (72.9%). The majority of lesions were on the lower extremity, including the foot. Conclusion This study described the risk of burns caused by folk remedies and the clinical characteristics of the wounds. The results emphasize the need for greater public awareness of the risk of burn injuries when using folk remedies.

Forest Fire Damage Analysis Using Satellite Images (위성영상을 이용한 산불재해 분석)

  • Kang, Joon-Mook;Zhang, Chuan;Park, Joon-Kyu;Kim, Min-Gyu
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.1
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    • pp.21-28
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    • 2010
  • Forest fire is one of the main factor disturbing the environment of forest, and it influences greatly the structure and function on forest. The process of vegetation recovery could be decided according to the extent of the damage. It is required a lot of man powers and budgets to understand born severity and process of vegetation rehabilitation at the damaged area after large-fire. However, the analysis of born severity in the forest area using satellite imagery can acquire rapidly information and more objective results remotely in the large-fire area. In this study, the space sensors have been used to map area burned, assess characteristics of active fires. For classifying fire damaged area and analyzing severity of Cheongyang-Yesan fire in 2002, in this paper we use pre- and post-fire imagery from the Landsat TM and ETM+ to compute the evaluate large-scale patterns of burn severity, use the digital stock map to calculate the damaged condition about the forest fires damaged regions and use the NDVI to monitoring the situation of the revegetation.

Wildfire Severity Mapping Using Sentinel Satellite Data Based on Machine Learning Approaches (Sentinel 위성영상과 기계학습을 이용한 국내산불 피해강도 탐지)

  • Sim, Seongmun;Kim, Woohyeok;Lee, Jaese;Kang, Yoojin;Im, Jungho;Kwon, Chunguen;Kim, Sungyong
    • Korean Journal of Remote Sensing
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    • v.36 no.5_3
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    • pp.1109-1123
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    • 2020
  • In South Korea with forest as a major land cover class (over 60% of the country), many wildfires occur every year. Wildfires weaken the shear strength of the soil, forming a layer of soil that is vulnerable to landslides. It is important to identify the severity of a wildfire as well as the burned area to sustainably manage the forest. Although satellite remote sensing has been widely used to map wildfire severity, it is often difficult to determine the severity using only the temporal change of satellite-derived indices such as Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR). In this study, we proposed an approach for determining wildfire severity based on machine learning through the synergistic use of Sentinel-1A Synthetic Aperture Radar-C data and Sentinel-2A Multi Spectral Instrument data. Three wildfire cases-Samcheok in May 2017, Gangreung·Donghae in April 2019, and Gosung·Sokcho in April 2019-were used for developing wildfire severity mapping models with three machine learning algorithms (i.e., Random Forest, Logistic Regression, and Support Vector Machine). The results showed that the random forest model yielded the best performance, resulting in an overall accuracy of 82.3%. The cross-site validation to examine the spatiotemporal transferability of the machine learning models showed that the models were highly sensitive to temporal differences between the training and validation sites, especially in the early growing season. This implies that a more robust model with high spatiotemporal transferability can be developed when more wildfire cases with different seasons and areas are added in the future.

Spaceborne High Resolution Imagery-Based Burn Severity Mapping (고해상도 위성화상(畵像)에 기초한 산불 피해 등급도 작성)

  • Kim, Choen;Hong, Sung-Hoo
    • Proceedings of the KSRS Conference
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    • 2008.03a
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    • pp.44-47
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    • 2008
  • 본 논문은 KOMPSAT-2호 및 3호의 화상활용 일환으로 고해상도 위성화상을 이용한 정량화 기반의 산불피해등급 분류도에 관한 시범연구이다. 무엇보다 중적외선 밴드가 없는 IKONOS화상에서 NBR산법개발과 NBR에 기초한 산불피해림의 등급분류도를 작성하였다. 본연구의 결과물인 삼척산불지역의 피해등급분류도는 -1과 1사이의 NBR 지수값을 갖는 8bit 회색조 영상을 심 중 경 구분의 산불피해등급별에 따라 각각 적 황 청색으로 나타낸 유색밀도편분 화상이다. 현지 실측의 CBI에 의한 검정에서 정밀 정확으로 평가될 경유, 고해상도 화상을 이용한 NBR기반의 산불피해등급 분류도는 산불 후 피해복구 선택, 즉 자연복원과 인공식재복원에 결정정보가 될 것이다.

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Outcomes of Primary Unilateral Cheiloplasty in Same-Day Surgical Settings

  • Khan, Mansoor;Ullah, Hidayat;Aziz, Asif;Tahir, Muhammad
    • Archives of Plastic Surgery
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    • v.43 no.3
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    • pp.248-253
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    • 2016
  • Background Financial, clinical, and psychological considerations have made same-day surgery an attractive option for a variety of procedures. This article aimed to analyse the postoperative results of same-day primary unilateral cleft nasolabial repair. Methods This study was performed from 2011 to 2014. Unilateral cleft lip patients fulfilling the inclusion criteria were preoperatively classified as mild, moderate, and severe. All patients underwent same-day surgery and were discharged after satisfying the appropriate clinical criteria, receiving thorough counselling, and the establishment of a means of communication by phone. Postoperative outcomes were assessed and stratified according to preoperative severity and the type of repair. Results A total of 423 primary unilateral cleft lip patients were included. Fisher's anatomical subunit approximation technique was the most common procedure, followed by Noordhoff's technique. The postoperative outcome was good in 89.8% of cases, fair in 9.9% of cases, and poor in 0.2% of cases. The complication rate was 1.18% (n=5), and no instances of mortality were observed. The average hospital stay was 7.5 hours, leading to a cost reduction of 19% in comparison with patients who stayed overnight for observation. Conclusions Mild unilateral cleft lip was the most common deformity for which Fisher's anatomical subunit approximation technique was performed in most of the cases, with satisfactory postoperative outcomes. Refinements in the cleft rhinoplasty techniques over the course of the study improved the results regarding cleft nasal symmetry. Single-day primary unilateral cleft cheiloplasty was found to be a cost-effective procedure that did not pose an additional risk of complications.

Treatment for Hydrofluoric Acid Chemical Injury on Hands (불산에 의한 수부 화학 화상의 치료)

  • Nam, Seung Min;Choi, Hwan Jun;Kim, Mi Sun
    • Archives of Plastic Surgery
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    • v.34 no.4
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    • pp.471-477
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    • 2007
  • Purpose: Hydrofluoric acid(HF) is one of the most dangerous mineral acids with dissociated fluoride ions. As hydrofluoric acid is present in various household products(such as rust removers), a large population of industrials is at the risk of HF exposure. It is a very strong organic acid, used widely in glass etching, metal washing, and in the semiconductor industry. Even when using adequate safety measures, lack of care on the user's part results in chemical burn by HF. Symptoms caused by HF-induced chemical burns shows delayed manifestations resulting in a loss of proper treatment opportunities. We therefore reviewed 20 cases of HF-induced chemical burns and treatment principle. Methods: The objects of this study were 19 male patients and 1 female treated from March 2004 to March 2006. There were 19 cases of injury on digits and 1 on the wrist area. There were 15 cases of immediate treatment after sustaining HF-induced burns, and 5 cases of delayed treatment. As a principle, in the emergency treatment, partial or complete removal of the nail along with copious washing with normal saline was done, depending on the degree of HF invasion of the distal digital extremities. Results: The 15 cases who came to the hospital immediately after the injury were healed completely without sequelae, and those who delayed their treatment needed secondary surgical measures, due to the severity of inflammation and necrosis of the digital tissues. Conclusion: As the industrial sector develops, the use of HF is increasing more and more, leading to increase in incidences of HF-induced chemical burns. When treating chemical burns caused by HF, washing by copious amounts of normal saline, along with early removal of the nails, rather than calcium gluconate, seems to be a available method for preserving the shape and function of the digits and the nail. The education of patients regarding this subject should be empathized accordingly.

Analysis on Topographic Normalization Methods for 2019 Gangneung-East Sea Wildfire Area Using PlanetScope Imagery (2019 강릉-동해 산불 피해 지역에 대한 PlanetScope 영상을 이용한 지형 정규화 기법 분석)

  • Chung, Minkyung;Kim, Yongil
    • Korean Journal of Remote Sensing
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    • v.36 no.2_1
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    • pp.179-197
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    • 2020
  • Topographic normalization reduces the terrain effects on reflectance by adjusting the brightness values of the image pixels to be equal if the pixels cover the same land-cover. Topographic effects are induced by the imaging conditions and tend to be large in high mountainousregions. Therefore, image analysis on mountainous terrain such as estimation of wildfire damage assessment requires appropriate topographic normalization techniques to yield accurate image processing results. However, most of the previous studies focused on the evaluation of topographic normalization on satellite images with moderate-low spatial resolution. Thus, the alleviation of topographic effects on multi-temporal high-resolution images was not dealt enough. In this study, the evaluation of terrain normalization was performed for each band to select the optimal technical combinations for rapid and accurate wildfire damage assessment using PlanetScope images. PlanetScope has considerable potential in the disaster management field as it satisfies the rapid image acquisition by providing the 3 m resolution daily image with global coverage. For comparison of topographic normalization techniques, seven widely used methods were employed on both pre-fire and post-fire images. The analysis on bi-temporal images suggests the optimal combination of techniques which can be applied on images with different land-cover composition. Then, the vegetation index was calculated from the images after the topographic normalization with the proposed method. The wildfire damage detection results were obtained by thresholding the index and showed improvementsin detection accuracy for both object-based and pixel-based image analysis. In addition, the burn severity map was constructed to verify the effects oftopographic correction on a continuous distribution of brightness values.

Change Detection of Damaged Area and Burn Severity due to Heat Damage from Gangwon Large Fire Area in 2019 (2019년 강원도 대형산불지역의 열해 피해로 인한 피해강도 변화 탐색)

  • Won, Myoungsoo;Jang, Keunchang;Yoon, Sukhee;Lee, HoonTaek
    • Korean Journal of Remote Sensing
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    • v.35 no.6_2
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    • pp.1083-1093
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    • 2019
  • The purpose of this study is to detect the burned area change by direct burning of tree canopies and post-fire mortality of trees via analyzing satellite imageries from the Korea multi-purpose satellite-2 and -3 (KOMPSAT-2 and -3) for two large-fires over the Goseong-Sokcho and Gangneung-Donghae regions in April 2019. For each case, the burned area was compared between two dates: the day when the fire occurred and 15-18 days after it. As the results, within these two dates, there was no substantial difference in burned area of sites whose severities were marked as "Extreme", but sites with "High" and "Low" severities showed significant differences in burned area between the two dates. These differences were resulted from the lagged post-fire browning of canopies which was detected by images from in-situ observation,satellite, and the unmanned aerial vehicle. The post-fire browning started after 3-4 days and became apparent after 10-15 days. This study offers information about the timing to quantify the burned area by large fire and about the mechanism of post-fire mortality. Also, the findings can support policy makers in planning the restoration of the damaged areas.

Factors Associating Major Burn in Chemical Injury Patients due to Industrial Place Incident : A Retrospective study (산업장 화학 손상 환자에서 중증 화상에 영향을 미치는 요인)

  • Shin, Hee-Jun;Oh, Se-Kwang;Lee, Han-You
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.4
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    • pp.332-339
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    • 2016
  • This study examined the intensity of the association of factors affecting major burns by statistical analysis for patients injured by the release of chemical hazards. A total of 446 patients were evaluated as chemical injury patients, who had visited the emergency room from 1/Jan/2010 to 31/Dec/2014. The major burn was used as a dependent variable representing the severity of chemical injury. A chi-square test (CST) and binary logistic regression test (BLRA) were used as the statistical analysis method for determining the association between major burns and the independent variables. In CST, female and their presence at an incident scene, multiple site injury were associated with major burn (p<0.05). In BLRA, the presence at an incident scene and spills (comparing explosion), discharge (comparing admission) were associated with major burns (p<0.05). In this study, the presence at an incident scene was the most significant factor concerning major burns. Furthermore, gender and injury number, exposure mechanism (spill comparing explosion), and disposition (discharge comparing admission) were also associated with major burns.

Detection of Forest Fire and NBR Mis-classified Pixel Using Multi-temporal Sentinel-2A Images (다시기 Sentinel-2A 영상을 활용한 산불피해 변화탐지 및 NBR 오분류 픽셀 탐지)

  • Youn, Hyoungjin;Jeong, Jongchul
    • Korean Journal of Remote Sensing
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    • v.35 no.6_2
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    • pp.1107-1115
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    • 2019
  • Satellite data play a major role in supporting knowledge about forest fire by delivering rapid information to map areas damaged. This study, we used 7 Sentinel-2A images to detect change area in forests of Sokcho on April 4, 2019. The process of classify forest fire severity used 7 levels from Sentinel-2A dNBR(differenced Normalized Burn Ratio). In the process of classifying forest fire damage areas, the study selected three areas with high regrowth of vegetation level and conducted a detailed spatial analysis of the areas concerned. The results of dNBR analysis, regrowth of coniferous forest was greater than broad-leaf forest, but NDVI showed the lowest level of vegetation. This is the error of dNBR classification of dNBR. The results of dNBR time series, an area of forest fire damage decreased to a large extent between April 20th and May 3rd. This is an example of the regrowth by developing rare-plants and recovering broad-leaf plants vegetation. The results showed that change area was detected through the change detection of danage area by forest category and the classification errors of the coniferous forest were reached through the comparison of NDVI and dNBR. Therefore, the need to improve the precision Korean forest fire damage rating table accompanied by field investigations was suggested during the image classification process through dNBR.