A modified tidal efficiency algorithm, ESTA, was developed to correct observed water well levels in tidally responsive coastal areas to get best estimates of aquifer properties and well production characteristics. The algorithm was developed during groundwater studies in Puerto Peñasco, northeastern Gulf of California, Sonora, Mexico. ESTA predicts standing water well levels in response to tides. ESTA requires initial sea and well calibration data, from which sea-well relationships are calculated. It needs tidal data for the time period when projected standing water well levels are desired. The method uses a single cosine or sine function for rising or falling tides, respectively. ESTA tended to overpredict water levels, especially on rising tides, on the average of about 0.05 ft, as shown in analyses at five coastal well sites completed in low to moderately permeable sand and coquina. ESTA can be improved by application of error analysis, but this will not be necessary in most cases, as errors are generally very small for most aquifers and tidal ranges. When ESTA was applied to an aquifer test in highly permeable coral near Kahuku, northehore Oahu, Hawaii, rising -tide water well levels were overpredicted and falling -tide water well levels were underpredicted by 0.10 and 0.33 ft, respectively. Error analysis reduced these errors to 0.06 and 0.16 ft.

This paper introduces an intuitive, multicriterion decision making aid utilizing Q-analysis, a technique based in algebraic topology and set theory. This aid ranks twenty-five alternative plans for the water resource management and flood control of the Santa Cruz River Basin. These twenty -five plans have been described in terms of thirteen weighted criteria. Q-analysis is used to investigate a series of binary matrices formed over a range of threshold levels (TLs), indicating different levels at which the plans satisfy the criteria. A computer package performs both Q-analysis and slicing over the TL range. A short discussion concerning additional information that can be drawn from the multicriterion Q-analysis has also been included.