Assessment of thermal stratification of Chahnimeh reservoirs exposed to adverse weather conditions

Mollaeinia, Mahmoud Reza; Piri, Jamshid

doi:10.22034/ijwer.2025.527114.1094

Assessment of thermal stratification of Chahnimeh reservoirs exposed to adverse weather conditions

Document Type : Research Article

Authors

Mahmoud Reza Mollaeinia ¹

Jamshid Piri ²

¹ Associate Professor, Civil Engineering Department, Faculty of Technology and Engineering, University of Zabol, Zabol, Iran

² Assistant Professor, Department of Water Engineering Science, Faculty of Water and Soil, University of Zabol, Zabol, Iran

10.22034/ijwer.2025.527114.1094

Abstract

This study extracted the monthly thermal stratification of the Chahnimeh Reservoir No. 4 (CRN4) from observational data from May 2013 to April 2014. Then, the monthly thermal stratification was simulated by a one-dimensional numerical model, HEC-5Q, and data-driven models including: Extreme Learning Machine (ELM) and Support Vector Regression (SVR). The results showed that the continuous 120-day wind, along with the high evaporation rate, cause the lake to experience top-down circulation at least twice a year, thereby leading to the recovery of dissolved oxygen and providing an environment for aquatic life to survive in the hypolimnion, which occurs in autumn and winter. Furthermore, the results showed that, in general, the AI methods are more robust compared to the classical model while requiring less data.

Keywords

Lake Stratification

Reservoir No. 4 of Chahnimeh

Extreme Learning Machine

Support Vector Regression

HEC-5Q

Subjects