Change Trend of Water Resources Using Matter Analysis

ABSTRACT

Many countries currently face pressures and risks associated with scarce water resources. By using grey correlation analysis, we can choose physical factors with close relationships to water resources. In this article, we used physical factors as possible predictors and thus endowed matter analysis with a forecast function, which represents a novel application. By repeatedly adjusting grade division values (classical domain and joint domain) of each factor, it is possible to determine the maximum fit between the calculated grade and the actual grade of annual runoff. Results presented here indicate that this method is suitable for forecasting changing annual runoff trends in drainage basins. By focusing on forecasts of changing trends relating to water resources, we have set up a preliminary calculation system based on matter analysis. It is expected that this application will become more sensitive, resulting in improved performance in terms of trend forecasts of water resources using matter analysis.

Key Words:

• classical domain
• joint domain
• matter analysis
• water resources

ACKNOWLEDGMENTS

We are very grateful to this journal's editors and referees for their helpful comments and suggestions. This work was supported by National Natural Science Foundation of China (No. 41171430).