LandScan: a global population database for estimating populations at risk

Dobson, Jerome E.; Bright, Edward A.; Coleman, P.R.; Durfee, R.C.; Worley, B.A.

doi:10.1201/9781482264678-24

Cited by 73 publications

(6 citation statements)

References 1 publication

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“…Meteorological information reflecting the large-scale wind conditions during the campaigns was obtained from measurements at the Cabauw tower (51.970263 • N, 4.926267 • E) operated by the Koninklijk Nederlands Meteorologisch Instituut (KNMI) (Van Ulden and Wieringa, 1996) for Utrecht and the Billwerder tower (53.5192 • N, 10.1029 • E) operated by the MI at Hamburg University (Brümmer et al, 2012) for Hamburg. The wind direction and wind speed data from the masts were used for planning the surveys.…”

Section: Meteorological Datamentioning

confidence: 99%

Methane mapping, emission quantification, and attribution in two European cities: Utrecht (NL) and Hamburg (DE)

et al. 2020

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Abstract. Characterizing and attributing methane (CH4) emissions across varying scales are important from environmental, safety, and economic perspectives and are essential for designing and evaluating effective mitigation strategies. Mobile real-time measurements of CH4 in ambient air offer a fast and effective method to identify and quantify local CH4 emissions in urban areas. We carried out extensive campaigns to measure CH4 mole fractions at the street level in Utrecht, the Netherlands (2018 and 2019), and Hamburg, Germany (2018). We detected 145 leak indications (LIs; i.e., CH4 enhancements of more than 10 % above background levels) in Hamburg and 81 LIs in Utrecht. Measurements of the ethane-to-methane ratio (C2:C1), methane-to-carbon dioxide ratio (CH4:CO2), and CH4 isotope composition (δ13C and δD) show that in Hamburg about 1∕3 of the LIs, and in Utrecht 2∕3 of the LIs (based on a limited set of C2:C1 measurements), were of fossil fuel origin. We find that in both cities the largest emission rates in the identified LI distribution are from fossil fuel sources. In Hamburg, the lower emission rates in the identified LI distribution are often associated with biogenic characteristics or (partly) combustion. Extrapolation of detected LI rates along the roads driven to the gas distribution pipes in the entire road network yields total emissions from sources that can be quantified in the street-level surveys of 440±70 t yr−1 from all sources in Hamburg and 150±50 t yr−1 for Utrecht. In Hamburg, C2:C1, CH4:CO2, and isotope-based source attributions show that 50 %–80 % of all emissions originate from the natural gas distribution network; in Utrecht more limited attribution indicates that 70 %–90 % of the emissions are of fossil origin. Our results confirm previous observations that a few large LIs, creating a heavy tail, are responsible for a significant proportion of fossil CH4 emissions. In Utrecht, 1∕3 of total emissions originated from one LI and in Hamburg >1/4 from two LIs. The largest leaks were located and fixed quickly by GasNetz Hamburg once the LIs were shared, but 80 % of the (smaller) LIs attributed to the fossil category could not be detected and/or confirmed as pipeline leaks. This issue requires further investigation.

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Section: Meteorological Datamentioning

confidence: 99%

Methane mapping, emission quantification, and attribution in two European cities: Utrecht (NL) and Hamburg (DE)

et al. 2020

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“…LandScan: LandScan is a global population dataset with a resolution of 1 km developed by the Department of Energy's Oak Ridge National Laboratory using spatial data, high-resolution image exploitation, and multivariate dasymetric modeling methods [27,35]. The LandScan Global 2010 was downloaded from https://landscan.ornl.gov/.…”

Section: Global Population Datasetsmentioning

confidence: 99%

Uncertainty analysis of potential population exposure within the coastal lowlands of mainland China

Li,

Yao,

et al. 2023

Environ. Res. Lett.

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With accelerating global sea level rise (SLR) driven by climate change, accurate estimates of potential population exposure (PPE) within the low-elevation coastal zones (LECZ) are critical for coastal planning and assessing the benefits of climate mitigation. Multiple digital elevation models (DEM) and population grid datasets have been used for the PPE assessment of coastal lowlands. However, the uncertainty arising from differences in data sources and production methods results in poorly guided estimates. In this study, four global DEM and five population datasets were used to estimate the PPE in the LECZ of China and to assess the uncertainty of PPE estimation. Based on the DEM and population grid with the best accuracy, we found that more than 13.82% of China’s residents lived in the LECZ in 2010. Different DEM-population combinations yielded significantly different PPE estimates, ranging between 3.59-24.61 million and 31.56-112.24 million people in the LECZ below 1 m and 4 m elevation, respectively. The satellite Lidar-based DEM improves the estimates of the LECZ and obtains the PPE within LECZ below 4 m elevation that far exceeds those of other DEM datasets. The usage of WorldPop and LandScan population datasets leads to an underestimation of PPE within the LECZ of China. In contrast, integrating more geospatial big data helps generate better population grids, thus reducing the uncertainty of coastal PPE estimates. There is still a need to improve the availability and accuracy of coastal geospatial data and to deepen the understanding of coastal vulnerability.

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“…For instance, SNLs have been applied to consider the state of urban development, economic growth, electricity consumption and population distribution across different countries and regions (for example see Amaral et al, 2005 ; Elvidge et al, 2014 ; Sutton et al, 2007 ; Townsend & Bruce, 2010 ). Some studies have used SNLs to examine the impacts of carbon emissions and footprints (Milesi et al, 2003 ) and the populations at risk of natural and environmental disasters such as radiation and volcanic eruptions (Dobson et al, 2000 ; Kohiyama et al, 2004 ). Focusing on monitoring societal welfare using SNLs, Cova et al ( 2004 ), Zhang and Seto ( 2011 ), investigate the relationship between quality of life, infrastructural development, sustained economic activity, and wealth as key components of human development.…”

Section: Literature On Access To Electricity For Sustainable Developm...mentioning

confidence: 99%

Keeping the lights On or Off: tracking the progress of access to electricity for sustainable development in Nigeria

et al. 2022

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This paper is focussed on employing satellite night lights (SNLs) to investigate access to electricity across the geographical regions in Nigeria. Specifically, we explore how SNLs interact with human and socioeconomic development indicators (population, poverty, and household consumption) to demonstrate the implications of slow and/or delayed progress in closing the electricity access gap in Nigeria. Our findings suggest that minimal progress has been made and there remains significant evidence of disproportionate spread of electricity across the country with most of the electricity visibility concentrated in the Southern regions, state capitals and industrial centres. Crucially, policy challenges and trade offs emerge. On one hand, is the need to address the long-standing issue of stranded and underutilised assets around power generation, transmission, and distribution and how these balance (or not) against additional and new capacity to enable sufficient, reliable and sustained electricity supply. On the other hand, is the challenge of ensuring that closing the access to electricity gap in Nigeria is done in a way that is just, fair, and equitable, with no part of society becoming worse-off or excluded.

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LandScan: a global population database for estimating populations at risk

Cited by 73 publications

References 1 publication

Methane mapping, emission quantification, and attribution in two European cities: Utrecht (NL) and Hamburg (DE)

Methane mapping, emission quantification, and attribution in two European cities: Utrecht (NL) and Hamburg (DE)

Uncertainty analysis of potential population exposure within the coastal lowlands of mainland China

Keeping the lights On or Off: tracking the progress of access to electricity for sustainable development in Nigeria

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