NPP-VIIRS DNB-based reallocating subpopulations to mercury in Urumqi city cluster, central Asia

International Symposium on Earth Observation for One Belt and One Road

地球科学;政治学;社会学;经济学

Zhou, X.^1,2,4 ; Feng, X.B.^2 ; Dai, W.^3 ; Li, P.^2 ; Ju, C.Y.^4 ; Bao, Z.D.^5 ; Han, Y.L.^6

Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi

830011, China^1

State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang

550081, China^2

School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou

510006, China^3

Institute of Desert Meteorology, China Meteorological Administration, Urumqi

830002, China^4

Department of Civil and Environmental Engineering, Lamar University, Beaumont

77705, United States^5

South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou

510310, China^6

关键词: Central Asia;    Control strategies;    Monte Carlo modelling;    Multi-layered;    Polar-orbiting;    Potential population;    Reference grids;    Visible infrared imaging radiometer suites;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/57/1/012021/pdf
DOI  :  10.1088/1755-1315/57/1/012021

来源: IOP

【 摘 要 】

Accurate and update assignment of population-related environmental matters onto fine grid cells in oasis cities of arid areas remains challenging. We present the approach based on Suomi National Polar-orbiting Partnership (S-NPP) -Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) to reallocate population onto a regular finer surface. The number of potential population to the mercury were reallocated onto 0.1x0.1 km reference grid in Urumqi city cluster of China's Xinjiang, central Asia. The result of Monte Carlo modelling indicated that the range of 0.5 to 2.4 million people was reliable. The study highlights that the NPP-VIIRS DNB-based multi-layered, dasymetric, spatial method enhances our abilities to remotely estimate the distribution and size of target population at the street-level scale and has the potential to transform control strategies for epidemiology, public policy and other socioeconomic fields.