Zhongyi Sun

TL;DR: The results show that the southwestern and central parts of the study area possess higher risk, while the northwestern and southeastern parts possess lower risk, and the assessment model fits the area of historical flood data.

TL;DR: The results indicate that crop residue burning occurs in a seasonal pattern, and its spatial distribution is closely related to farming activities, and the changes in PM2.5 exhibit a hysteresis after crop residueburning in summer and autumn-winter.

TL;DR: Comparisons of RS-based GPP responses to climatic factors revealed that models differed substantially in the effect of environmental regulations, particularly CO2 fertilization and water stress, on GPP, and none of the models performed consistently better across the different ecosystems and under the various external conditions.

TL;DR: In this article, the authors used satellite-derived normalized difference vegetation index (NDVI) datasets to analyse the spatio-temporal patterns of vegetation activities using linear regression and the breaks for additive season and trend methods.

TL;DR: This study applied C-Fix model to estimate the net effect of each factor on GPP trends of 1982–2015, used an unsupervised classifier to group similar GPP trend behaviors, and analyzed the responses of GPP to changes in climatic, atmospheric and environmental drivers.