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Xingong Li

Researcher at University of Kansas

Publications -  63
Citations -  1227

Xingong Li is an academic researcher from University of Kansas. The author has contributed to research in topics: Climate change & Snow. The author has an hindex of 15, co-authored 56 publications receiving 951 citations. Previous affiliations of Xingong Li include Shanxi Teachers University & Chinese Academy of Sciences.

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Determining the contributions of urbanisation and climate change to NPP variations over the last decade in the Yangtze River Delta, China.

TL;DR: The results revealed that the urbanisation factor is the main driving force for NPP change in high-speed urbanisation areas, and the factor accounted for 47% of the variations, however, in the forest and farm regions, the NPP variation was mainly controlled by climate change and residual factors.
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Snowmelt runoff modelling in an arid mountain watershed, Tarim Basin, China

TL;DR: In this article, the feasibility of simulating daily snowmelt runoff in an arid mountain watershed with limited hydro-meteorological measurements was explored with an enhanced temperature-index SNR model, in which the degree-day factor (DDF) is varied on the basis of shortwave solar radiation and snow albedo.
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Risk of rising sea level to population and land area

TL;DR: For example, Dyurgerov and Meier as mentioned in this paper estimated that global sea level has risen by about 2 millimeters per year over the past century, about half of which is attributed to thermal expansion of the ocean and melting of temperate-latitude glaciers.
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GIS analysis of global impacts from sea level rise.

TL;DR: Based on a hypothetical global sea level increase of one to six meters, this paper developed GIS methods to assess and visualize the global impacts of potential inundation using the best available global datasets.
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Determining the anthropogenic contribution of heavy metal accumulations around a typical industrial town: Xushe, China

TL;DR: Wang et al. as discussed by the authors investigated the anthropogenic contribution of heavy metal accumulation surrounding an industrial town in China, using the component partition method, and found that Cu, Ni, Pb, and As have higher concentrations compared with their background levels and the industrial town has a significant impact on heavy metal accumulations in its surrounding agricultural soil.