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Author |
Pracki, P.; Skarżyński, K. |
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Title  |
A Multi-Criteria Assessment Procedure for Outdoor Lighting at the Design Stage |
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Journal Article |
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Year |
2020 |
Publication |
Sustainability |
Abbreviated Journal |
Sustainability |
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12 |
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4 |
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1330 |
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Keywords |
Lighting |
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Abstract |
This paper presents an attempt at a unified approach for the assessment of outdoor lighting solutions at the design stage. First of all, the lighting criteria for different types of outdoor lighting installations have been carefully described. Despite the differences in criteria, it is possible to find a common ground for the assessment of lighting solutions at the design stage. This is based on the need for the assessment of lighting solutions to be included in the requirements for the luminous environment, light pollution, and energy efficiency. The review and analysis of the standards and reports allows an experimental procedure to be created, the main aim of which is to find the best and most sustainable lighting solution for any outdoor situation. The procedure was tested by the example of an analysis of parking lot lighting solutions. In the case analyzed, 120 solutions were considered. It appeared that, in only 65 cases were the requirements referring to both lighting condition and light pollution met. Finally, based on the lighting energy efficiency assessment, ten solutions were selected as the most suitable. Furthermore, only one solution out of the ten was the most beneficial, taking into account the extra criterion of basic economic cost. The case study confirms that the assessment procedure allows the most beneficial solution to be selected, taking into account the luminous environment, as well as light pollution and energy efficiency criteria. The proposed multi-criteria assessment procedure may be used as a valuable tool by lighting designers to select the most beneficial solution in order to meet the needs of safety, visual efficiency, and comfort, as well as taking into account light pollution and energy efficiency restrictions. |
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2071-1050 |
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GFZ @ kyba @ |
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2869 |
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Ma, X.; Li, C.; Tong, X.; Liu, S. |
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Title |
A New Fusion Approach for Extracting Urban Built-up Areas from Multisource Remotely Sensed Data |
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Journal Article |
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2019 |
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Remote Sensing |
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Remote Sensing |
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11 |
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21 |
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2516 |
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Remote Sensing |
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Recent advances in the fusion technology of remotely sensed data have led to an increased availability of extracted urban information from multiple spatial resolutions and multi-temporal acquisitions. Despite the existing extraction methods, there remains the challenging task of fully exploiting the characteristics of multisource remote sensing data, each of which has its own advantages. In this paper, a new fusion approach for accurately extracting urban built-up areas based on the use of multisource remotely sensed data, i.e., the DMSP-OLS nighttime light data, the MODIS land cover product (MCD12Q1) and Landsat 7 ETM+ images, was proposed. The proposed method mainly consists of two components: (1) the multi-level data fusion, including the initial sample selection, unified pixel resolution and feature weighted calculation at the feature level, as well as pixel attribution determination at decision level; and (2) the optimized sample selection with multi-factor constraints, which indicates that an iterative optimization with the normalized difference vegetation index (NDVI), the modified normalized difference water index (MNDWI), and the bare soil index (BSI), along with the sample training of the support vector machine (SVM) and the extraction of urban built-up areas, produces results with high credibility. Nine Chinese provincial capitals along the Silk Road Economic Belt, such as Chengdu, Chongqing, Kunming, Xining, and Nanning, were selected to test the proposed method with data from 2001 to 2010. Compared with the results obtained by the traditional threshold dichotomy and the improved neighborhood focal statistics (NFS) method, the following could be concluded. (1) The proposed approach achieved high accuracy and eliminated natural elements to a great extent while obtaining extraction results very consistent to those of the more precise improved NFS approach at a fine scale. The average overall accuracy (OA) and average Kappa values of the extracted urban built-up areas were 95% and 0.83, respectively. (2) The proposed method not only identified the characteristics of the urban built-up area from the nighttime light data and other daylight images at the feature level but also optimized the samples of the urban built-up area category at the decision level, making it possible to provide valuable information for urban planning, construction, and management with high accuracy. |
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GFZ @ kyba @ |
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2731 |
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Wang, G., Wang, S., Zhang, L., Sun, F., Yan, F., & Yang, X. |
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Title |
A New Light Control Method with Charge Induction of Moving Target |
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Journal Article |
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2019 |
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IEEE Sensors Journal |
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19 |
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16 |
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Lighting; Instrumentation |
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Intelligent lamp control system has been widely studied all over the world because of its energy saving and social effect. In this paper, a new intelligent lamp control method based on charge induction for moving target is proposed. The detection model is established with the surface charge induction and verified by a luggage detection experiment. The intelligent lamp control system using the detection method is carried out. The performance of the system demonstrates that the proposed method can detect the moving target at any orientation whatever with or without occlusion and the detection distance can reach more than 3 m for the pedestrian. |
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IDA @ intern @ |
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2470 |
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Ye, Y.; Xue, X.; Huang, L.; Gan, M.; Tong, C.; Wang, K.; Deng, J. |
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A new perspective to map the supply and demand of artificial night light based on Loujia1-01 and urban big data |
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Journal Article |
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2020 |
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Journal of Cleaner Production |
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Journal of Cleaner Production |
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276 |
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123244 |
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Remote Sensing |
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The notable increase in artificial night light (ANL) induced by the rapid urbanization process has been widely studied, but a deep understanding of the supply and demand status of ANL is still lacking. This paper attempts to map the supply and demand of ANL from the human perspective by using advanced Loujia1-01 nighttime imagery and social media derived population density (PD) data, which provides a new tool for light regulation in urban management. The bivariate clustering based k-means algorithm and template matching technique are integrated to delineate mismatch regions at the block scale to further analyze the underlying reason for unbalanced status. The results showed that the high supply but low demand (HSLD) ANL status was the leading component in the mismatch regions, occupying more than 650,000 ha and mainly occurring in the city center. The HSLD proportion was considerable in terms of public services (44%), commercial (40%), industrial (39%), transportation (56%), and green space areas (53%). Moreover, the HSLD area notably increased 946 ha over time from 18:00 to 22:00. The measurements for validation obtained by field investigation showed highly linear relationship with ANL (R2 = 0.75) and PD (R2 = 0.62), and the mapping results were consistent with the actual conditions. This study reveals the highly unbalanced ANL status, and appeals to planners for the establishment of optimal lighting regulations to alleviate disruptive effects. |
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0959-6526 |
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GFZ @ kyba @ |
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3070 |
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Fasciani, I.; Petragnano, F.; Aloisi, G.; Marampon, F.; Rossi, M.; Francesca Coppolino, M.; Rossi, R.; Longoni, B.; Scarselli, M.; Maggio, R. |
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Title |
A new threat to dopamine neurons: the downside of artificial light |
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Journal Article |
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Year |
2020 |
Publication |
Neuroscience |
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Neuroscience |
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in press |
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in press |
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Review; Human Health; Parkinson's disease; artificial light; dopamine neurons; melatonin; opsins; photoactivation |
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Growing awareness of adverse impacts of artificial light on human health has led to recognize light pollution as a significant global environmental issue. Despite, a large number of studies in rodent and monkey models of Parkinson's disease have reported that near infrared light has neuroprotective effects on dopaminergic neurons, recent findings have shown that prolonged exposure of rodents and birds to fluorescent artificial light results in an increase of neuromelanin granules in substantia nigra and loss of dopaminergic neurons. The observed detrimental effect seems to be dependent on a direct effect of light on the substantia nigra rather than a secondary effect of the alterations of circadian rhythms. Moreover, inferences from animal models to human studies have shown a positive correlation between the prevalence of Parkinson's disease and light pollution. The present article discusses experimental evidence supporting a potentially deleterious impact of light on dopaminergic neurons and highlights the mechanisms whereby light might damage neuronal tissue. Moreover, it analyses epidemiological evidence that suggests light pollution to be an environmental risk factor for Parkinson's disease. |
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Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy. Electronic address: roberto.maggio@univaq.it |
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English |
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0306-4522 |
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PMID:32142863 |
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GFZ @ kyba @ |
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2839 |
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