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Author Falchetta, G.; Pachauri, S.; Parkinson, S.; Byers, E. url  doi
openurl 
  Title A high-resolution gridded dataset to assess electrification in sub-Saharan Africa Type Journal Article
  Year 2019 Publication Scientific Data Abbreviated Journal Sci Data  
  Volume 6 Issue 1 Pages 110  
  Keywords Remote Sensing  
  Abstract Spatially explicit data on electricity access and use are essential for effective policy-making and infrastructure planning in low-income, data-scarce regions. We present and validate a 1-km resolution electricity access dataset covering sub-Saharan Africa built on gridded nighttime light, population, and land cover data. Using light radiance probability distributions, we define electricity consumption tiers for urban and rural areas and estimate the by-tier split of consumers living in electrified areas. The approach provides new insight into the spatial distribution and temporal evolution of electricity access, and a measure of its quality beyond binary access. We find our estimates to be broadly consistent with recently published province- and national-level statistics. Moreover, we demonstrate consistency between the estimated electricity access quality indicators and survey-based consumption levels defined in accordance with the World Bank Multi-Tier Framework. The dataset is readily reproduced and updated using an open-access scientific computing framework. The data and approach can be applied for improving the assessment of least-cost electrification options, and examining links between electricity access and other sustainable development objectives.  
  Address Energy Program, International Institute for Applied Systems Analysis (IIASA), Schossplatz 1, 2361, Laxenburg, Austria  
  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 (down) 2052-4463 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:31270329; PMCID:PMC6610126 Approved no  
  Call Number GFZ @ kyba @ Serial 2559  
Permanent link to this record
 

 
Author Bharti, N.; Tatem, A.J. url  doi
openurl 
  Title Fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in Niger and Nigeria Type Journal Article
  Year 2018 Publication Scientific Data Abbreviated Journal Sci Data  
  Volume 5 Issue Pages 180256  
  Keywords Remote Sensing  
  Abstract Dynamic measures of human populations are critical for global health management but are often overlooked, largely because they are difficult to quantify. Measuring human population dynamics can be prohibitively expensive in under-resourced communities. Satellite imagery can provide measurements of human populations, past and present, to complement public health analyses and interventions. We used anthropogenic illumination from publicly accessible, serial satellite nighttime images as a quantifiable proxy for seasonal population variation in five urban areas in Niger and Nigeria. We identified population fluxes as the mechanistic driver of regional seasonal measles outbreaks. Our data showed 1) urban illumination fluctuated seasonally, 2) corresponding population fluctuations were sufficient to drive seasonal measles outbreaks, and 3) overlooking these fluctuations during vaccination activities resulted in below-target coverage levels, incapable of halting transmission of the virus. We designed immunization solutions capable of achieving above-target coverage of both resident and mobile populations. Here, we provide detailed data on brightness from 2000-2005 for 5 cities in Niger and Nigeria and detailed methodology for application to other populations.  
  Address WorldPop, Department of Geography and Environment, University of Southampton; Flowminder Foundation, Southampton, SO17 1BJ, UK  
  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 (down) 2052-4463 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:30422123; PMCID:PMC6233255 Approved no  
  Call Number GFZ @ kyba @ Serial 2769  
Permanent link to this record
 

 
Author Arderne, C.; Zorn, C.; Nicolas, C.; Koks, E.E. url  doi
openurl 
  Title Predictive mapping of the global power system using open data Type Journal Article
  Year 2020 Publication Scientific Data Abbreviated Journal Sci Data  
  Volume 7 Issue 1 Pages 19  
  Keywords Remote Sensing  
  Abstract Limited data on global power infrastructure makes it difficult to respond to challenges in electricity access and climate change. Although high-voltage data on transmission networks are often available, medium- and low-voltage data are often non-existent or unavailable. This presents a challenge for practitioners working on the electricity access agenda, power sector resilience or climate change adaptation. Using state-of-the-art algorithms in geospatial data analysis, we create a first composite map of the global power system with an open license. We find that 97% of the global population lives within 10 km of a MV line, but with large variations between regions and income levels. We show an accuracy of 75% across our validation set of 14 countries, and we demonstrate the value of these data at both a national and regional level. The results from this study pave the way for improved efforts in electricity modelling and planning and are an important step in tackling the Sustainable Development Goals.  
  Address Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands  
  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 (down) 2052-4463 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:31941897 Approved no  
  Call Number GFZ @ kyba @ Serial 2816  
Permanent link to this record
 

 
Author Li, X.; Zhou, Y.; Zhao, M.; Zhao, X. url  doi
openurl 
  Title A harmonized global nighttime light dataset 1992-2018 Type Journal Article
  Year 2020 Publication Scientific Data Abbreviated Journal Sci Data  
  Volume 7 Issue 1 Pages 168  
  Keywords Remote Sensing  
  Abstract Nighttime light (NTL) data from the Defense Meteorological Satellite Program (DMSP)/Operational Linescan System (OLS) and the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar-orbiting Partnership satellite provide a great opportunity for monitoring human activities from regional to global scales. Despite the valuable records of nightscape from DMSP (1992-2013) and VIIRS (2012-2018), the potential of the historical archive of NTL observations has not been fully explored because of the severe inconsistency between DMSP and VIIRS. In this study, we generated an integrated and consistent NTL dataset at the global scale by harmonizing the inter-calibrated NTL observations from the DMSP data and the simulated DMSP-like NTL observations from the VIIRS data. The generated global DMSP NTL time-series data (1992-2018) show consistent temporal trends. This temporally extended DMSP NTL dataset provides valuable support for various studies related to human activities such as electricity consumption and urban extent dynamics.  
  Address Department of Geological and Atmospheric Sciences, Iowa State University, Ames, IA, 50011, USA  
  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 (down) 2052-4463 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:32499523 Approved no  
  Call Number GFZ @ kyba @ Serial 2985  
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Author Pu, G.; Zen, D.; Mo, L.; He, W.; Zhou, L.; Huang, K.; Liao, J.; Qiu, S.; Chai, S. url  doi
openurl 
  Title Does artificial light at night change the impact of silver nanoparticles on microbial decomposers and leaf litter decomposition in streams? Type Journal Article
  Year 2019 Publication Environmental Science: Nano Abbreviated Journal Environ. Sci.: Nano  
  Volume 6 Issue Pages 1728-1739  
  Keywords Ecology; silver nanoparticles; aquatic ecosystems  
  Abstract The toxic effects of silver nanoparticles (AgNP) to aquatic species and ecosystem processes have been the focus of increasing research in ecology, but their effects under different environmental stressors, such as the ongoing anthropogenic artificial light at night (ALAN) which can cause a series of ecological effects and will potentially interact with other stressors, remain poorly understood. Here, we aimed to assess the combined effects of AgNP and ALAN on the activities and community structure of fungi and bacteria associated to plant litter in a stream. The results showed that ALAN not only led to changes in the average hydrodynamic diameter, ζ-potential and dissolved concentration of AgNP but also inhibited the enzyme activities of leucine-aminopeptidase (LAP), polyphenol oxidase (PPO) and peroxidase (PER) associated to microbes involved in litter decomposition. The negative effect of AgNP on the decomposition of Pterocarya stenoptera leaf litter was alleviated by ALAN owing to the reduction of Ag+ concentration in the microcosm and lignin content in the leaf litter in the A-AgNP treatments, the enhancement of β-glucosidase (β-G) activities and the increase of microbial biomass. The effect of ALAN alone or combined with AgNP or AgNO3 on the taxonomic composition of fungi was much greater than that on bacteria. Linear discriminant analysis effect size (LEfSe) demonstrated that each treatment had its own fungal and bacterial indicator taxa, from the phylum to genus levels, indicating that the microbial communities associated with litter decomposition can change their constituent taxa to cope with different stressors. These results reveal that ALAN can decrease the toxicity of AgNP and highlight the importance of considering ALAN during the assessment of the risk posed by nanoparticles to freshwater biota and ecosystem processes.  
  Address Guangxi Key Laboratory of Plant Conservation and Restoration Ecology in Karst Terrain, Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and Chinese Academy of Sciences, Guilin, China; pukouchy(at)hotmail.com  
  Corporate Author Thesis  
  Publisher Royal Astronomical Society of Chemistry Place of Publication Editor  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (down) 2051-8153 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2332  
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