Improving Groundwater Level Prediction based on Optimized Deep Learning Model with Coati Algorithm

2026-06-10

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Rana Muhammad Adnan Ikram

Jing‐Cheng Han *

null Wang

Sandeep Samantaray *

Abinash Sahoo

Sajjad Firas Abdulameer

Mohammad Al-Suwaiyan

Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ *

DOI：10.1016/j.envsoft.2026.107071

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• Deep learning (DL) model and novel optimization algorithm was coupled for groundwater level prediction. • Multivariate input-based climate parameters were investigated. • Case study of Jammu city in India with subtropical environment was examined. • Developed hybrid DL model was validated with different DL and ML models. • The hybridized DL model is an efficient and accurate surrogate tool for groundwater level prediction.

Improving Groundwater Level Prediction based on Optimized Deep Learning Model with Coati Algorithm

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