Data driven of underground water level using artificial intelligence hybrid algorithms.

ABSTRACT: As the population grows, industry and agriculture have also developed and water resources require quantitative and qualitative management. Currently, the management of water resources is essential in the exploitation and development of these resources. For this reason, it is important to study water level fluctuations to check the amount of underground water storage. It is vital to study the level of underground water in Khuzestan province with a dry climate. The methods which exist for predicting and managing water resources are used in studies according to their strengths and weaknesses and according to the conditions. In recent years, artificial intelligence has been used extensively for groundwater resources worldwide. Since artificial intelligence models have provided good results in

SUBMITTER: Rahimi M 

PROVIDER: S-EPMC10293245 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature