This paper describes the development of a forecasting model, named the emergy-based urban dynamic model, capable of accurately simulating the observed resource consumption, economic growth, and environmental impact of Beijing from 1999 to 2039.
Through a literature review this paper paves the path for the possible development of a forecasting model for making short term predictions during chaotic events so as to assist business practitioners in navigating their way out of chaos, thereby facilitating organizational emergence.
The behavior of water demands in drinking water distribution networks focuses on their repetitive nature and, under meteorological conditions and similar consumers, allows the development of a heuristic forecast model that, in turn, combined with other autoregressive models, can provide reliable forecasts.
This paper describes the development of a flood forecasting system that addresses this issue through a modular architecture based on the use of the Open Modeling Interface (OpenMI) standard, which facilitates the interaction between a number of separate software components.
This first comprehensive analysis of the recent avalanche regime in Svalbard provides an important first step towards the development of an avalanche forecasting service.
The development of a space weather forecast scheme is a test of our physical understanding of solar-terrestrial relationships.
It is essentially an attempt towards the development of a more credible forecasting system, exploiting an evolutionary approach used to interpret and model the significance which time-series data pose on the behavior of the aforementioned environmental reserves.
As such, the paper builds on chaos and complexity theory, as its foundational theory, and identifies the most important factors and mechanisms cited in current literature that influence organizational emergence so as to potentially incorporate the factors in the future development of a short term forecasting model.
