| Abstract: | ABSTRACT: Hydrology is both an applied practical science and a pure geophysical science. The goal of hydrology, as a geophysical science, is to achieve theories capable of explaining with satisfactory accuracy the phenomena of interest. Through the rapidly accelerating power and versatility of digital computing technology, theory development and application are immensely facilitated via increasingly sophisticated predictive modeling schemes, which are now the principal operating tools both for applied management hydrology and for basic geophysical hydrology. While this approach treats phenomena as classes or generalizations, social and behavioral scientists have long argued that human beings base their actions on percepts, i.e., on the concrete specifics of their experience. Thus, the commonly held ideal of basing policy, decisions, and public actions on the best possible science encounters a conflict in belief systems. A possible resolution of this dilemma lies in the use of observational components, which in concept-centered science serve as data to test or calibrate models. These components also serve as a great repository of natural experience that is closely attuned to the perceptual reality that propels societal action. Landscapes and sediments provide indices of real processes, whose occurrence can be expected by continuity to extend to present and future activity. More attention to research on such indices is warranted as a means of triggering perception-based action by responsible decision-makers. Grounded in reality, and tempered by their intrinsic fallibility, the scientifically powerful conceptual schemes (models) will then serve as guides to further action. The full societal benefit of hydrological science requires a balanced approach in which subdisciplines focused on environmental indices are afforded equal attention to those focused on conceptual idealization. |
