Using of fuzzy models to prepare water quality map in Bahadoran region, Iran

Abstract EN

One of the most important factors affecting sustainable management of ecosystems is maintenance of water quality.

Hence, knowing the spatial distribution of water properties can be so useful.

Geostatistics is one of the valuable techniques in estimation of water properties.

Several interpolation and prediction methods have been proposed yet.

Therefore, the main objectives of this research are to evaluate, recognize and introduce the best interpolation methods for prediction of Boron in ground water of bahadoran watershed.

Results showed that the hybrid method including fuzzy kriging reduced the error of prediction compared with the other methods.

The results also revealed that increasing the number of data by means of the best pedotransfer functions (created by ANFIS) would enhance the accuracy of prediction.

In general, combination of the best pedotransi'er functions with the best mapping method increased the accuracy of Boron prediction in the study area.