Evaluation and optimization of hydrometric locations using entropy theory and Bat algorithm (case study: Karkheh Basin, Iran)

Abstract Hydrometric stations are important in most countries because of the application and importance data obtained from these stations. It is necessary to choose best place for their establishment according cost constructing hydrometric The aim innovation this research optimize location using Bat's meta-heuristic algorithm interpolation methods, which information transfer entropy theory were used maximize average amount entropy. For purpose, 43 Karkheh basin western Iran period 1991–2015 used. In research, two scenarios investigated order improve transmission between first scenario, kriging method prepare flow distribution map region choosing normal with spherical variogram as model fit annual Bat increase correlation coefficient assuming no none available stations, points redeploy higher region. results scenario showed concentration new central eastern areas basin. second at regional level was calculated 18 potential recommended discharge that range influence low it establish a close distance.