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Author Guanglei, W.; Ngarambe, J.; Kim, G. url  doi
openurl 
  Title (up) A Comparative Study on Current Outdoor Lighting Policies in China and Korea: A Step toward a Sustainable Nighttime Environment Type Journal Article
  Year 2019 Publication Sustainability Abbreviated Journal Sustainability  
  Volume 11 Issue 14 Pages 3989  
  Keywords Lighting; Policy  
  Abstract Light pollution is a serious environmental issue with many adverse effects on human health and the ecosystem as a whole. Accordingly, many countries have issued laws and regulations to limit the effects of artificial lighting at night (ALAN). The Republic of Korea and China are among the few countries that have drafted laws to curb light pollution. In the present study, we gathered data related to light pollution regulations and ordinances in both China and Korea. We then carried out a comparative analysis of the light pollution laws of both countries. We found that, although the two countries share a similar socio-economic background, they have different approaches to the issue of light pollution. The information provided in this study serves as a guideline to countries that wish to develop their own light pollution policies. In addition, the conclusions provided in our study offer potential improvements to local and national light pollution policies in both the Republic of Korea and China.  
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  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2071-1050 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2602  
Permanent link to this record
 

 
Author Richter, A.; Ng, K.T.W.; Karimi, N. url  doi
openurl 
  Title (up) A data driven technique applying GIS, and remote sensing to rank locations for waste disposal site expansion Type Journal Article
  Year 2019 Publication Resources, Conservation and Recycling Abbreviated Journal Resources, Conservation and Recycling  
  Volume 149 Issue Pages 352-362  
  Keywords Remote Sensing  
  Abstract Landfilling is the most common method for final treatment of municipal solid waste worldwide. Canadians generated 973 kg/cap of waste in 2016, and 73% of that was sent to landfills or incinerators. This study proposes a novel method which combines remote sensing and vector data to rank the suitability of current landfill sites and their area of influence for expansion in Saskatchewan, Canada; where there are currently more than 500 active landfills. This study found that using average normalized data, 55.3% of the land in the study area was suitable or moderately suitable for landfill expansion while 45% of the area was unsuitable for landfill expansion. Polygon 32, an area dominated by agriculture and pasture land, is the most suitable for landfill expansion based on the mean normalized rank and was ranked 9th (out of 39) in terms of standard deviation. Polygon 27 is the least suitable for landfill expansion, having the largest mean normalized rank, and was ranked 38th (out of 39) in terms of standard deviation. This method is advantageous compared to other decision-making tools which rely on expert opinion. This method relies solely on remote sensing and vector data; but is flexible enough that weighting of data sets can be applied by policy makers if so desired. Results show that using remote sensing data and vector data together are capable of capturing distinctly different aspects of the study area, and that vector data can be used as a proxy for imagery where cloud cover is present.  
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  Corporate Author Thesis  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0921-3449 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2582  
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Author Doulos, L.T.; Sioutis, I.; Kontaxis, P.; Zissis, G.; Faidas, K. url  doi
openurl 
  Title (up) A decision support system for assessment of street lighting tenders based on energy performance indicators and environmental criteria: Overview, methodology and case study Type Journal Article
  Year 2019 Publication Sustainable Cities and Society Abbreviated Journal Sustainable Cities and Society  
  Volume 51 Issue Pages 101759  
  Keywords Lighting; Policy  
  Abstract While LEDs are now the most efficient light sources, their adoption in the road lighting design has been delayed due to a variety of reasons such as malpractice, huge number of inappropriate luminaires, missing technical information and ineffective policies. An example is the, low luminous efficacy values, which confuse the decision makers for national roads. The new part of EN13201-5 describes many energy performance indicators, which are still not used in street light projects or in lighting simulation tools. The aim of this paper is a) to present the significance of using these indicators through a decision tool, capable to evaluate a number of lighting designs in a lighting tender and b) to propose an evaluation method as part of a future energy policy including environmental criteria. A case study is also presented. The results show that the aforementioned decision tool is necessary in order to evaluate the ranking of the corresponding offers. Thus, increased energy savings could be achieved together with environmental benefits. In the case examined, the best solution resulted in 72.1% energy savings and CO2 emission reduction.  
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  Corporate Author Thesis  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2210-6707 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2609  
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Author Bryant, J.M.; Hake, H.G. openurl 
  Title (up) A decision support system for assessment of street lighting tenders based on energy performance indicators and environmental criteria: Overview, methodology and case study Type Journal Article
  Year 1911 Publication University of Illinois Bulletin Abbreviated Journal  
  Volume 9 Issue 8 Pages Bulletin No. 51  
  Keywords Lighting; Energy; Economics; Planning  
  Abstract It is the purpose of this bulletin to make available information concerning street illumination. The suggestion which led to this compilation came from the many inquiries received by the Electrical Engineering Department each year from those interested in framing ordinances permitting corporations or individuals to operate street lighting systems. An attempt has been made to present this information in such a form as to be readily understood by the general public, without requiring any special technical knowledge. The data have been compiled from reliable sources, and checked in many instances by tests conducted by the writers.  
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  Publisher University of Illinois at Urbana Champaign, College of Engineering Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2739  
Permanent link to this record
 

 
Author Li, K.; Chen, Y. url  doi
openurl 
  Title (up) A Genetic Algorithm-Based Urban Cluster Automatic Threshold Method by Combining VIIRS DNB, NDVI, and NDBI to Monitor Urbanization Type Journal Article
  Year 2018 Publication Remote Sensing Abbreviated Journal Remote Sensing  
  Volume 10 Issue 2 Pages 277  
  Keywords Remote Sensing  
  Abstract Accurate and timely information related to quantitative descriptions and spatial distributions of urban areas is crucial to understand urbanization dynamics and is also helpful to address environmental issues associated with rapid urban land-cover changes. Thresholding is acknowledged as the most popular and practical way to extract urban information from nighttime lights. However, the difficulty of determining optimal threshold remains challenging to applications of this method. In order to address the problem of selecting thresholds, a Genetic Algorithm-based urban cluster automatic threshold (GA-UCAT) method by combining Visible-Infrared Imager-Radiometer Suite Day/Night band (VIIRS DNB), Normalized Difference Vegetation Index (NDVI), and Normalized Difference Built-up Index (NDBI) is proposed to distinguish urban areas from dark rural background in NTL images. The key point of this proposed method is to design an appropriate fitness function of GA by means of integrating between-class variance and inter-class variance with all these three data sources to determine optimal thresholds. In accuracy assessments by comparing with ground truth—Landsat 8 OLI images, this new method has been validated and results with OA (Overall Accuracy) ranging from 0.854 to 0.913 and Kappa ranging from 0.699 to 0.722 show that the GA-UCAT approach is capable of describing spatial distributions and giving detailed information of urban extents. Additionally, there is discussion on different classifications of rural residential spots in Landsat remote sensing images and nighttime light (NTL) and evaluations of spatial-temporal development patterns of five selected Chinese urban clusters from 2012 to 2017 on utilizing this proposed method. The new method shows great potential to map global urban information in a simple and accurate way and to help address urban environmental issues.  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2072-4292 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2340  
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