Since the early application of fuzzy logic to hydrology, a large amount of research has been pursued. Fuzzy logic has become a practical tool in hydrologic analysis and water resources decision making. This chapter focuses on the main areas where fizzy logic is applied. One major area of hydrology- namely, hydroclimatic modeling of hydrological extremes (i.e, drought and intensive precipitation) and fuzzy rules of inference (the fuzzy rule-based modeling technique) are used to describe the methodology in detail. Results over four regions-Arizona, Nebraska, Germany and Hungary-and under three different climates-semiarid, dry and wet continental-suggest that fuzzy rule-based approach can be used successfully to predict the statistical properties of monthly precipitation and drought index. Hydrology and water resources commonly involve a system of concepts, principles, and methods for dealing with modes of reasoning that are approximate rather than exact. In other words, hydrology is hampered by uncertainties caused by nature (e.g., climate), limited data, and imprecise modeling. For example, aquifer parameters are obtained from few locations that represent a small fraction of the total volume.
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)