The estimates from this study are severalfold larger than previous calculations, suggesting that outdoor particulate air pollution is an even more important population health risk factor than previously thought.
Based on a multidimensional model of population dynamics that stratifies national populations by age, sex, and level of education with educational fertility and mortality differentials, the study shows the extent to which the expected world population growth could be lowered by successfully implementing the recently agreed-upon Sustainable Development Goals (SDGs).
Using a numerical reaction/diffusion human dispersal model, the study set out to quantify the effects of climate on human dispersal over the last glacial period.
In this paper, the model is analyzed using stability theory of differential equations with rsults showing that increase in human population intensify the depletion in concentration of dissolved oxygen in a water body.
In this study, the Weather Research and Forecasting (WRF) was used to simulate the long-term effect of urbanization on regional climate.
Using Dongguan City in southern China, one of the fastest urbanized areas in China as a case study, the paper, based on the urban flood forecasting results, presents a fuzzy multiple index urban flood risk warning method which evaluates the flood risk warning level with 5 factors including the driving force index, pressure index, state index, impact index and response index.
In this paper, the authors use scenarios of climate change, urbanization and management to simulate the future dynamics of the critically endangered and fire-dependent longleaf pine (Pinus palustris) ecosystem.
Author suggests a global model of population-resource interaction, consisting of two first order ordinary differential equations. In it the population growth rate increases due to increasing technology, then declines due to declining resources. When the model is fit to twentieth century data it predicts that global population will peak and then decline while already declining global resources bottom out; both will eventually stabilize slightly above their lows. (from Abstract)
Xinjiang in the west China is a typical arid region with a vulnerable ecosystem and deterioration is often irreversible. In the past five decades, its population increased by more than four times, in which migration played a very important role. Population growth and reckless land reclamation, resource exploitation, and water use induced serious problems of land degradation, and seriously affect human wellbeing. Taking the advantage of the existence of high quality data, this research will study the historical pattern of population and land interactions in the region.
In this paper, population estimates are combined with continental digital elevation model in order to estimate the distribution of human population and occupied land area witn respect to elevation and coastal proximity.
