Application of genetic algorithm technique to inverse modeling of tide-aquifer interaction

作者：Jha Madan K^*; Singh Amanpreet

来源：Environmental Earth Sciences, 2014, 71(8): 3655-3672.

DOI：10.1007/s12665-013-2758-4

• Tide-aquifer interaction
• Inverse modeling
• Genetic algorithm technique
• Lumped tidal component approach
• Multi-tidal component approach
• Spring and neap tides

Modeling of tide-aquifer interaction plays a vital role in the management of coastal aquifer systems. A novel and robust methodology is presented in this paper for estimating aquifer parameters of coastal aquifers from tide-aquifer interaction data using tide-aquifer interaction model and genetic algorithm (GA). Two stand-alone computer programs were developed to optimize hydraulic diffusivities of unconfined and confined coastal aquifers at multiple sites using GA technique and tide-aquifer interaction model and considering two approaches (%26apos;lumped tidal component approach%26apos; and %26apos;multi-tidal component approach%26apos;). Five sets of real-world tide-aquifer interaction data at two sites of an unconfined aquifer and one set of tide-aquifer interaction data at three sites of a confined aquifer were used to demonstrate the efficacy of the methodology. The analysis of the GA-based inverse modeling results indicated that the %26apos;multi-tidal component approach%26apos; yields more accurate and reliable hydraulic diffusivities for the unconfined aquifer (RMSE = 0.0129-0.0521 m, NSE = 0.70-0.97, and d1 = 0.91-0.99) as well as for the confined aquifer (RMSE = 0.0204-0.0545 m, NSE = 0.95-0.97, and d1 = 0.99) compared with the %26apos;lumped tidal component approach%26apos;. A comparative evaluation of data-size revealed that the short-duration datasets of the unconfined aquifer provide more reliable estimate of hydraulic diffusivity than the long-duration datasets. Further, it was found that the spring and neap tidal data yield unreasonable values of hydraulic diffusivity with considerably high values of RMSE and very low values of r (2), NSE, and d1, thereby suggesting that spring and neap tidal data are not suitable for aquifer parameter estimation. Overall, it is concluded that the GA-based tide-aquifer interaction model following %26apos;multi-tidal component approach%26apos; is the most efficient tool for estimating aquifer parameters of unconfined and confined aquifers from tide-aquifer interaction data. The developed methodology is also applicable to other coastal basins of the world irrespective of hydrogeological settings.

• 出版日期2014-4