|   | 
Details
   web
Records
Author Hu, T.; Huang, X.
Title A novel locally adaptive method for modeling the spatiotemporal dynamics of global electric power consumption based on DMSP-OLS nighttime stable light data Type Journal Article
Year 2019 Publication Applied Energy Abbreviated Journal Applied Energy
Volume 240 Issue Pages 778-792
Keywords Remote Sensing
Abstract (down) Timely and reliable estimation of electricity power consumption (EPC) is essential to the rational deployment of electricity power resources. Nighttime stable light (NSL) data from the Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) have the potential to model global 1-km gridded EPC. A processing chain to estimate EPC includes: (1) NSL data correction; and (2) regression model between EPC statistics and NSL data. For the global gridded EPC estimation, the current approach is to correct the global NSL image in a uniform manner and establish the linear relationships between NSL and EPC. However, the impacts of local socioeconomic inconsistencies on the NSL correction and model establishment are not fully considered. Therefore, in this paper, we propose a novel locally adaptive method for global EPC estimation. Firstly, we set up two options (with or without the correction) for each local area considering the global NSL image is not saturated everywhere. Secondly, three directions (forward, backward, or average) are alternatives for the inter-annual correction to remove the discontinuity effect of NSL data. Thirdly, four optional models (linear, logarithmic, exponential, or second-order polynomial) are adopted for the EPC estimation of each local area with different socioeconomic dynamic. Finally, the options for each step constitute all candidate processing chains, from which the optimal one is adaptively chosen for each local area based on the coefficient of determination. The results demonstrate that our product outperforms the existing one, at global, continental, and national scales. Particularly, the proportion of countries/districts with a high accuracy (MARE (mean of the absolute relative error)  ≤ 10%) increases from 17.8% to 57.8% and the percentage of countries/districts with inaccurate results (MARE > 50%) decreases sharply from 23.0% to 3.7%. This product can enhance the detailed understanding of the spatiotemporal dynamics of global EPC.
Address
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 0306-2619 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2242
Permanent link to this record
 

 
Author Langbehn, T.; Aksnes, D.; Kaartvedt, S.; Fiksen, Ø.; Jørgensen, C.
Title Light comfort zone in a mesopelagic fish emerges from adaptive behaviour along a latitudinal gradient Type Journal Article
Year 2019 Publication Marine Ecology Progress Series Abbreviated Journal Mar. Ecol. Prog. Ser.
Volume 623 Issue Pages 161-174
Keywords Animals; Moonlight
Abstract (down) Throughout the oceans, small fish and other micronekton migrate between daytimedepths of several hundred meters and near-surface waters at night. These diel vertical migrationsof mesopelagic organisms structure pelagic ecosystems through trophic interactions, and are akey element in the biological carbon pump. However, depth distributions and migration ampli-tude vary greatly. Suggested proximate causes of the migration such as oxygen, temperature, andlight often correlate and therefore the causal underpinnings have remained unclear. Using meso-pelagic fishes and the Norwegian Sea as a study system, we developed a dynamic state variablemodel that finds optimal migration patterns that we validate with acoustic observations along alatitudinal gradient. The model describes predation risk and bioenergetics, and maximizes ex -pected energy surplus, a proxy for Darwinian fitness. The model allows us to disentangle the driv-ers of migration and make predictions about depth distribution and related fitness consequencesalong a latitudinal trajectory with strong gradients in environmental drivers and vertical distribu-tion of scattering layers. We show that the model-predicted vertical migration of mesopelagicfishes matches that observed along this transect. For most situations, modelled mesopelagic fishbehaviour can be well described by a light comfort zone near identical to that derived from obser-vations. By selectively keeping light or temperature constant, the model reveals that temperature,in comparison with light, has little effect on depth distribution. We find that water clarity, whichlimits how deeply light can penetrate into the ocean, structures daytime depths, while surfacelight at night controlled the depth of nocturnal ascents.
Address
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 0171-8630 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2598
Permanent link to this record
 

 
Author Aboushelib, M.F.; Abozaid, A.A.; Nawar, S.; Hendy, Y.H.M.; Morcos, A.B.
Title Preliminary site selection for an observatory in the Egyptian Eastern Desert Type Journal Article
Year 2019 Publication Astrophysics and Space Science Abbreviated Journal Astrophys Space Sci
Volume 364 Issue 10 Pages 163
Keywords Skyglow; Astronomy; Observatory; Egypt; Africa; Sky Quality Meter
Abstract (down) This work aims for choosing preliminary sites that can be candidates for a new astronomical observatory that will replace the Kottamia observatory. The candidate sites have been selected to be investigated after proposing a few criteria. Concerning light pollution and elevation of the sites as the main factors, we chose the candidate sites depending on the zenith sky brightness and the elevation. The night sky brightness has been measured using a Sky Quality Meter at different altitude degrees and the values of the zenith sky brightness were compared to those of different observatory sites. Our night sky brightness observations were found to be in agreement with the satellite’s data and comparable to those of dark sites, with average values of 22.07, 22.03, 21.57 and 21.58 magSQM/arcsec2. We also have obtained the Aerosol Optical Depth (AOD) and extinction coefficient due to the aerosol for the candidate sites using satellite data (Terra/MODIS).
Address National Research Institute of Astronomy and Geophysics, Helwan, Cairo, Egypt; m.f.aboushelib(at)nriag.sci.eg
Corporate Author Thesis
Publisher Springer Place of Publication Editor
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0004-640X ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2690
Permanent link to this record
 

 
Author Otchia, C. S. & Asongu, S. A.
Title Industrial Growth in Sub-Saharan Africa: Evidence from Machine Learning with Insights from Nightlight Satellite Images Type Journal Article
Year 2019 Publication African Governance and Development Institute Abbreviated Journal
Volume Issue Pages
Keywords Remote Sensing
Abstract (down) This study uses nightlight time data and machine learning techniques to predict industrial development in Africa. The results provide the first evidence on how machine learning techniques and nightlight data can be used to predict economic development in places where subnational data are missing or not precise. Taken together, the research confirms four groups of important determinants of industrial growth: natural resources, agriculture growth, institutions, and manufacturing imports. Our findings indicate that Africa should follow a more

multisector approach for development, putting natural resources and agriculture productivity growth at the forefront.
Address
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 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ intern @ Serial 2627
Permanent link to this record
 

 
Author Wood, J.M.; Tyrrell, R.A.; Carberry, T.P.
Title Limitations in drivers' ability to recognize pedestrians at night Type Journal Article
Year 2005 Publication Human Factors Abbreviated Journal Hum Factors
Volume 47 Issue 3 Pages 644-653
Keywords Vision; Public Safety; Adult; Age Factors; Aged; *Automobile Driving/psychology; Clothing; *Darkness; Female; Humans; Male; Middle Aged; Reaction Time; Task Performance and Analysis; Visual Perception
Abstract (down) This study quantified drivers' ability to recognize pedestrians at night. Ten young and 10 older participants drove around a closed road circuit and responded when they first recognized a pedestrian. Four pedestrian clothing and two beam conditions were tested. Results demonstrate that driver age, clothing configuration, headlamp beam, and glare all significantly affect performance. Drivers recognized only 5% of pedestrians in the most challenging condition (low beams, black clothing, glare), whereas drivers recognized 100% of the pedestrians who wore retroreflective clothing configured to depict biological motion (no glare). In the absence of glare, mean recognition distances varied from 0.0 m (older drivers, low beam, black clothing) to 220 m (722 feet; younger drivers, high beam, retroreflective biomotion). These data provide new motivation to minimize interactions between vehicular and pedestrian traffic at night and suggest garment designs to maximize pedestrian conspicuity when these interactions are unavoidable.
Address Center for Eye Research, Queensland University of Technology, Brisbane, Australia. j.wood@qut.edu.au
Corporate Author Thesis
Publisher Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0018-7208 ISBN Medium
Area Expedition Conference
Notes PMID:16435703 Approved no
Call Number GFZ @ kyba @ Serial 2804
Permanent link to this record