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(연구배경 및 목적) 과도한 인공조명의 사용은 생태계와 도시민의 건강에 부정적인 영향을 미칠 수 있으며, 이는 공해의 한 형태인 빛공해로 인식되고 있다. 환경부는 빛공해 방지법 제정을 시작으로 빛공해 피해 방지를 위하여 많은 노력을 기울이고 있다. 현재 빛공해 관리를 위한 자료수집에 있어 많은 시간과 노력을 필요로 하고 있는 실정이다. 지속적인 빛공해 관리를 위하여 도시 전역 차원에서의 빛공해 변화를 고찰하고 수치화할 수 있는 빛공해 진단 방법의 고찰이 필요하다. 본 연구는 서울시 전역에 대해 빛 방사량 현황과 변화양상을 정량적으로 진단하고 각 지역의 빛 방사량 과도지역 및 빛 방사량 증감현상의 지역적 특징을 판단하고자 한다. (연구방법) 본 연구에서는 인공위성 데이터를 활용하여 수치적으로 빛 방사량을 진단할 수 있는 데이터베이스를 제작한다. 이를 활용하여 2012년부터 2016년까지 서울시 전역의 정량적 빛 방사량 현황 및 변화 양상을 파악한다. 또한, Getis Ord Gi* 통계량을 사용하여 서울시 빛공해 핫 스팟 지역을 도출하고 행정구역 별 변화를 고찰한 후, 빛공해 증감이 뚜렷한 지역들의 특징을 파악한다. (결과) 서울시 빛 방사량 지도에 기초한 결과, 지난 4년여 동안 서울시 총 빛 방사량은 약간 감소하고 있는 것으로 나타났으며, 주로 구산-역촌-녹번-응암-수색-가좌의 은평구 일대, 목동-일상 일대, 신길-신대방-신림-서울대 일대, 기존 중심지인 강남-압구정-청담 및 논현-선릉 지역에서 벨트를 형성하며 빛 방사량이 감소하는 패턴을 보였다. 그러나, 홍대-이태원-종로 등 활성화된 상권 지역과 마곡지구-세곡지구 등 신규 개발 지역을 중심으로 빛 방사량이 크게 증가하는 것을 확인하였다. (결론) 본 연구는 빛공해 관리를 위해 지속적이고 경제적인 방법론을 제안했다는 것에 그 의의가 있다. 본 연구의 결과물은 최근 중요한 환경문제로 언급되고 있는 빛공해를 지속적으로 관리하기 위한 기초자료를 제공하며, 이는 정책적 근거자료로 활용할 수 있다. 본 연구를 통해 ‘빛공해 유발 가능성이 높은 지역’을 도출함으로써 현재 서울시에서 시행중인 ‘빛공해 관리방안’ 및 현재 용도지역을 기반으로 3~4종으로 운영되고 있는 조명관리지역의 지정기준을 보완할 수 있는 중요한 자료를 제공할 수 있을 것이다.
(Background and Purpose) Excessive artificial nightlight is considered a pollutant that adversely affects human health and ecosystems. Since the enactment of the Light Pollution Prevention Law in Korea, central and local governments have made efforts to monitor exposure to night pollution and mitigate its damage. Monitoring nightlight emission levels and night pollution damage takes a substantial amount of time and effort in collecting data that are useful for designing light pollution mitigation policies. Various methods for diagnosing light pollution must be developed to manage and control light pollution effectively. In particular, the monitoring of light pollution in urban space is crucial since urban areas are night pollution hotspots. The purpose of this study is to diagnose light emission levels and systematically and quantitatively identify changing patterns in Seoul. This study also evaluates local characteristics of sub regions in Seoul that show rapid changes in their nightlight emission levels. (Method) This study uses satellite nightlight data to quantify and measure urban light emission levels from 2012 to 2016. We use the Visible Infrared Imaging Radiometer Suite (VIIRS) and Day and Night Band (DNB) data from the Earth Ovsercation Group (EOG) of the National Oceanic and Atmospheric Administration (NOAA). We create yearly composite data to calculate the light intensity of Seoul to evaluate the city’s light pollution status and change patterns. We also use Getis- Ord-Gi* statistics to identify nightlight hotspot areas. (Results) The results show that the total nightlight emission amounts in Seoul slightly decreased between 2012 and 2016 due to reductions in the following areas: (1) the Gusan-Yeokchon-Nokbeon-Eungam-Susaek-Gajwa areas in the Eunpyeong District, (2) the Mokdong-Ilsang areas, (3) the Singil-Sindaebang-Sillim-Seoul National University areas, and (4) aged business districts in the Gangnam areas: Gangnam-Apgujeong-Cheongdam-Nonhyeon-Seolleung areas. The proportion of highly polluted urban spaces has increased over time due to two main reasons: (1) the development of existing and new commercial areas (e.g., Hongdae, Itaewon, Jong-ro) and (2) new urban land development projects organized for mass housing-supply projects (e.g., Magok and Segok district). (Conclusions) The results of this study provide basic evidence for current nightlight emission changes in Seoul and methodologies to monitor light emissions and manage light pollution. Finally, this study can also be used to supplement the criteria for designation of the current four categories of lighting management zones. The results of this study (1) present methodologies to monitor nightlight emissions at a macro urban scale; (2) provide basic understanding and evidence for current and changing nightlight emission patterns; and (3) identify areas that have a high probability of light pollution exposure.
(Background and Purpose) Excessive artificial nightlight is considered a pollutant that adversely affects human health and ecosystems. Since the enactment of the Light Pollution Prevention Law in Korea, central and local governments have made efforts to monitor exposure to night pollution and mitigate its damage. Monitoring nightlight emission levels and night pollution damage takes a substantial amount of time and effort in collecting data that are useful for designing light pollution mitigation policies. Various methods for diagnosing light pollution must be developed to manage and control light pollution effectively. In particular, the monitoring of light pollution in urban space is crucial since urban areas are night pollution hotspots. The purpose of this study is to diagnose light emission levels and systematically and quantitatively identify changing patterns in Seoul. This study also evaluates local characteristics of sub regions in Seoul that show rapid changes in their nightlight emission levels. (Method) This study uses satellite nightlight data to quantify and measure urban light emission levels from 2012 to 2016. We use the Visible Infrared Imaging Radiometer Suite (VIIRS) and Day and Night Band (DNB) data from the Earth Ovsercation Group (EOG) of the National Oceanic and Atmospheric Administration (NOAA). We create yearly composite data to calculate the light intensity of Seoul to evaluate the city’s light pollution status and change patterns. We also use Getis- Ord-Gi* statistics to identify nightlight hotspot areas. (Results) The results show that the total nightlight emission amounts in Seoul slightly decreased between 2012 and 2016 due to reductions in the following areas: (1) the Gusan-Yeokchon-Nokbeon-Eungam-Susaek-Gajwa areas in the Eunpyeong District, (2) the Mokdong-Ilsang areas, (3) the Singil-Sindaebang-Sillim-Seoul National University areas, and (4) aged business districts in the Gangnam areas: Gangnam-Apgujeong-Cheongdam-Nonhyeon-Seolleung areas. The proportion of highly polluted urban spaces has increased over time due to two main reasons: (1) the development of existing and new commercial areas (e.g., Hongdae, Itaewon, Jong-ro) and (2) new urban land development projects organized for mass housing-supply projects (e.g., Magok and Segok district). (Conclusions) The results of this study provide basic evidence for current nightlight emission changes in Seoul and methodologies to monitor light emissions and manage light pollution. Finally, this study can also be used to supplement the criteria for designation of the current four categories of lighting management zones. The results of this study (1) present methodologies to monitor nightlight emissions at a macro urban scale; (2) provide basic understanding and evidence for current and changing nightlight emission patterns; and (3) identify areas that have a high probability of light pollution exposure.
권호기사
참고문헌 (43건) : 자료제공( 네이버학술정보 )
| 번호 | 참고문헌 | 국회도서관 소장유무 |
|---|---|---|
| 1 | A Study on the Regulation of Outdoor Lighting - Foreign Cases Study on the Light Pollution Control Law - | 소장 |
| 2 | Light pollution, reproductive function and cancer risk  |
미소장 |
| 3 | Aubrecht, C., C. D. Elvidge, C. M. Eakin, D. Ziskin, &K.E. Baugh, (2009). Coral reef risk assessment using DMSP nighttime lights-Temporal trends and global perspectives. In ISRSE: 33rd International Symposium on Remote Sensing of Environment, 4-8. | 미소장 |
| 4 | Aubrecht, C., C. D. Elvidge, D. Ziskin, P. Rodrigues, & A. Gil, (2010). Observing stress of artificial night lighting on marine ecosystems—A remote sensing application study. ISPRS TC VII Symposium—100 Years ISPRS, 41-46. | 미소장 |
| 5 | Contrasting trends in light pollution across Europe based on satellite observed night time lights. |
미소장 |
| 6 | Switch on the Night: Policies for Smarter Lighting |
미소장 |
| 7 | Quantitative Analysis of VIIRS DNB Nightlight Point Source for Light Power Estimation and Stability Monitoring |
미소장 |
| 8 | A Development of Street Lighting Fixtures and Operation Plan in Residential Areas | 소장 |
| 9 | Analysis on Luminance of Outdoor Signboards of Commercial Areas in Seoul at Night Considering Light Pollution | 소장 |
| 10 | Characterizing Light pollution in national parks during peak and off-peak tourist seasons using nighttime satellite images | 소장 |
| 11 | The first World Atlas of the artificial night sky brightness |
미소장 |
| 12 | Mapping regional economic activity from night-time light satellite imagery |
미소장 |
| 13 | Doll, C. N. H., (2008). CIESIN thematic guide to night-time light remote sensing and its applications. Center for International Earth Science Information Network of Columbia University, Palisades, NY. | 미소장 |
| 14 | Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption |
미소장 |
| 15 | VIIRS night-time lights |
미소장 |
| 16 | Falchi, F., P. Cinzano, C. D. Elvidge, D. M. Keith, & A. Haim, (2011). Limiting the impact of light pollution on human health, environment and stellar visibility. Journal of environmental management, 92(10), 2714-2722. | 미소장 |
| 17 | The new world atlas of artificial night sky brightness. |
미소장 |
| 18 | Gallaway, T., R. R. Olsen, & D.M. Mitchell, (2010). The economics of global light pollution. Ecology Economics, 69(3), 658-665. | 미소장 |
| 19 | Han, B., J. Kim, & S. Lee, (2013). Change of Light Pollution by Land‐use Change in Uijeongbu City, Gyeonggi‐do. Korean Society of Environment &Ecology Proceeding, (23), 107–108. | 미소장 |
| 20 | Monitoring Trends in Light Pollution in China Based on Nighttime Satellite Imagery |
미소장 |
| 21 | Kim. C., S. Lee, & T. Kang, (2013). 도시의 빛공해 실태와빛지도 제작기법. Korea Institute of Information Technology Magazine, 11(2), 75-80. | 미소장 |
| 22 | Kim. H., & H. Kim, (2012). Luminance Measurements of Outdoor Signboards for Illuminated Methods and Various Areas. Proceedings of KIIEE Annual Conference, 162-163. | 미소장 |
| 23 | Kim. J., (2014). [집중기획 : 조명설비 계획의 신동향]빛공해의 원인과 대책. Magazine of the SAREK, 40-46. | 미소장 |
| 24 | Kim, J., C. Sung, K. Ki, (2016). Analysis of light pollution in the Mudeungsan National Park using VIIRS DNB images. proceedings of Korean Society of Environment and Ecology, 2016(2), 51. | 미소장 |
| 25 | Kim, J., (2018). Detecting urban development and light pollution using satellite nighttime light data. Hongik University graduate school, Master‘s thesis. / 김정아, (2018). 야간조명 이미지데이터를 활용한 도시개발 및빛공해 진단기법. 홍익대학교 대학원, 석사논문. | 미소장 |
| 26 | Kim, K., Y. Seo, M. Oh, & H. Kim, (2011). A Study on the Establishment for Environmental Lighting Zone according to the Distinction of use Zoning. A Journal of the Seismic Retrofitting & Remodeling Research Center, 9(2), 31-35. | 미소장 |
| 27 | Outdoor Artificial Light Pollution Change in the Republic of Korea | 소장 |
| 28 | High-Resolution Imagery of Earth at Night: New Sources, Opportunities and Challenges |
미소장 |
| 29 | Lee, P., (2012). Design of Multi-Purpose Guide Light for Light Pollution Protection. A journal of KIITS, 7(6), 125-134. | 미소장 |
| 30 | Lee, Y., Y. Seo, C. Liu, M. Oh, H., & Kim, (2012). A Study on the Researching the Real Condition of the Upward Lighting for Making Light Pollution Management. A Journal of the Seismic Retrofitting &Remodeling Research Center, 10(1), 25-29. | 미소장 |
| 31 | Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of China |
미소장 |
| 32 | Liu, Z., C. He, Q. Zhang, Q. Huang, & Y. Yang, (2012). Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008. Landscape and Urban Planning, 106(1), 62-72. | 미소장 |
| 33 | Nurbandi, W., F. R. Yusuf, R. Prasetya, & M. D. Afrizal, (2017). Using Visible Infrared Imaging Radiometer Suite (VIIRS) Imagery to identify and analyze light pollution. IOP Conference Series: Earth and Environmental Science, 47(1), 012040. | 미소장 |
| 34 | High-resolution (375 m) cloud microstructure as seen from the NPP/VIIRS satellite imager |
미소장 |
| 35 | Outdoor light and breast cancer incidence: a comparative analysis of DMSP and VIIRS-DNB satellite data |
미소장 |
| 36 | A Study on the Light Pollution Management of Media Facades through Luminance Analysis of Architectural Lightings | 소장 |
| 37 | Mapping and Evaluating the Urbanization Process in Northeast China Using DMSP/OLS Nighttime Light Data |
미소장 |
| 38 | Yi, S., & J. Kim, (2004). Light Pollution of Street in Residential Area. Proceedings of KIIEE Annual Conference, 9-14. | 미소장 |
| 39 | Analyze the Results of Lighting Type Change and Rroposal of Power Density per Unit Area for Light Pollution Control of Channel-letter Type Advertisement Lighting | 소장 |
| 40 | Yoo, Y., & Y. Kim, (2012). A Study on Foreign Laws and Regulations for the Light Pollution Prevention in Domestic Office and Commercial Areas. Journal of the Korea Institute of the Spatial Design, 19(0), 109-118. | 미소장 |
| 41 | A Study on the Problems of the Light Pollution Prevention Act | 소장 |
| 42 | Zamorano, C., S. de Miguel, R. Pascual, G. Castano, R. Moreta, & P. Challupner, (2011). ISS nocturnal images as a scientific tool against light pollution. LICA report April 2011, Universidad Complutense, Madrid. | 미소장 |
| 43 | Zhang, Q., N. Levin, C. Chalkias, & H. Letu, (2015). Nighttime light remote sensing—Monitoring human societies from outer space. In P.S. Thenkabail (Ed.), Remote sensing handbook, 3(3), 289-310. | 미소장 |
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