Feng Zhou

TL;DR: A global N2O inventory is presented that incorporates both natural and anthropogenic sources and accounts for the interaction between nitrogen additions and the biochemical processes that control N 2O emissions, using bottom-up, top-down and process-based model approaches.

TL;DR: It is demonstrated that the multivariate statistical methods are useful for interpreting complex data sets in the analysis of temporal and spatial variations in water quality and the optimization of regional water quality monitoring network.

TL;DR: A global coupled biogeochemistry–climate model and a chemistry and transport model are used to quantify China’s present-day contribution to global radiative forcing due to well-mixed greenhouse gases, short-lived atmospheric climate forcers and land-use-induced regional surface albedo changes and it is found that China contributes 10% ± 4% of the current global radiatives forcing.

TL;DR: GIS-based spatial analysis facilitated chemometric methods and indicated that Cu, Cr, and Zn were derived from human impacts while Al, Ba, Mn, V and Fe originated from rock weathering.

TL;DR: The comprehensive application of different multivariate methods and geographic information systems was used to evaluate the spatio-temporal patterns and source apportionment of coastal water pollution in eastern Hong Kong, revealing that most of the variables were primarily influenced by soil weathering and organic pollution, nutrient pollution (or agricultural runoff), and mineral pollution.