| Records |
| Author |
Richter, A.; Ng, K.T.W.; Karimi, N. |
Title  |
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 |
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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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0921-3449 |
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GFZ @ kyba @ |
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2582 |
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Doulos, L.T.; Sioutis, I.; Kontaxis, P.; Zissis, G.; Faidas, K. |
| Title |
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 |
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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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2210-6707 |
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GFZ @ kyba @ |
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2609 |
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Bryant, J.M.; Hake, H.G. |
| Title |
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 |
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| 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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University of Illinois at Urbana Champaign, College of Engineering |
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English |
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GFZ @ kyba @ |
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2739 |
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| Author |
Li, K.; Chen, Y. |
| Title |
A Genetic Algorithm-Based Urban Cluster Automatic Threshold Method by Combining VIIRS DNB, NDVI, and NDBI to Monitor Urbanization |
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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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2072-4292 |
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GFZ @ kyba @ |
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2340 |
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| Author |
Pena-Garcia, A.; Nguyen, T.P.L. |
| Title |
A Global Perspective for Sustainable Highway Tunnel Lighting Regulations: Greater Road Safety with a Lower Environmental Impact |
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Journal Article |
| Year |
2018 |
Publication |
International Journal of Environmental Research and Public Health |
Abbreviated Journal |
Int J Environ Res Public Health |
| Volume |
15 |
Issue |
12 |
Pages |
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| Keywords |
Lighting |
| Abstract |
Tunnel lighting installations function 24 h a day, 365 days a year. These infrastructures have increased exponentially and now connect quite distant locations, even on different continents. This has led European administrations and international regulatory bodies to establish regulations for tunnel safety with the lowest environmental impact. However, until now, these regulations have almost exclusively focused on traffic safety, and relegated sustainability to the background. Even though they recognize the need to reduce energy consumption, they do not propose any tools for doing so. Given the impact of these installations and the lack of a specific regulatory framework, Asian countries will soon be forced either to update previous standards for tunnel lighting or elaborate new ones. A better understanding of the weaknesses of European regulations combined with a willingness to embrace innovation could position Asia as a world leader in the regulation of more sustainable road tunnels. The objective of this research was to improve the sustainability of tunnel lighting installations through new regulations or amendments to existing ones, without impairing the mental well-being of users, who could potentially be affected by energy-saving measures. Accordingly, this paper presents and analyzes a broad proposal for formulating tunnel lighting regulations. The originality of this proposal lies in the fact that it integrates road safety, lower environmental impact, and user well-being. Furthermore, it is expected to broaden the perspective of regulatory bodies and public administrations with regard to tunnel installations, which would ultimately enhance their sustainability. |
| Address |
Department of Development and Sustainability, School of Environment, Resources and Development, Asian Institute of Technology, 12120 Pathumthani, Thailand. phuoclai@ait.asia |
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English |
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1660-4601 |
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PMID:30486333 |
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GFZ @ kyba @ |
Serial |
2119 |
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