Elisabeta Cristina Timiș

ORCID: 0000-0002-9671-9014
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About
Contact & Profiles
Research Areas
  • Hydrology and Watershed Management Studies
  • Soil and Water Nutrient Dynamics
  • History and advancements in chemistry
  • Hydrogen embrittlement and corrosion behaviors in metals
  • Hydrological Forecasting Using AI
  • Concrete Corrosion and Durability
  • Corrosion Behavior and Inhibition
  • Fish Ecology and Management Studies
  • Soil erosion and sediment transport
  • Water Quality and Pollution Assessment
  • Parallel Computing and Optimization Techniques
  • Simulation Techniques and Applications
  • Hydrology and Drought Analysis
  • Odor and Emission Control Technologies
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Hydrology and Sediment Transport Processes
  • Modeling and Simulation Systems

Babeș-Bolyai University
2015-2025

The forecasting of river flows and pollutant concentrations is essential in supporting mitigation measures for anthropogenic climate change effects on rivers their environment. This paper addresses two aspects receiving little attention the literature: high-resolution (sub-daily) data-driven modeling prediction phosphorus compounds. It presents a series artificial neural networks (ANNs) to forecast soluble reactive (SRP) total (TP) under wide range conditions, including low storm events...

10.3390/hydrology12020020 article EN cc-by Hydrology 2025-01-21

There is a need to understand what makes certain targeted measures for in-river phosphorus load reduction more effective than others. Therefore, this paper investigates multiple development scenarios in small lowland polluted river draining an urban area (The Cut, Bracknell, UK), using advection-dispersion model (ADModel-P). A comparative analysis presented whereby changes concentrations and fluxes of soluble reactive (SRP) organic (OP) have been attributed specific transformations...

10.1016/j.scitotenv.2024.171958 article EN cc-by The Science of The Total Environment 2024-03-26

This research approaches knowledge gaps related to the pickling process dynamic modelling (the lack of predictability and simplicity existing models) answers practical need for a software tool facilitate optimum operation (by delivering estimations corrosion inhibitor addition, bath lifetime, rate evolution, material mass loss). A decision-making tool, PickT, has been developed verified with help measurements from two different experiments, both involving steel in hydrochloric acid. The...

10.3390/ma16165567 article EN Materials 2023-08-10

There is a need to understand what makes certain targeted measures for in-river phosphorus load reduction more effective than others. Therefore, this paper investigates multiple development scenarios in small lowland polluted river draining an urban area (The Cut, Bracknell, UK), using advection-dispersion model (ADModel-P). A comparative analysis presented whereby changes concentrations and fluxes of soluble reactive (SRP) organic (OP) have been attributed specific transformations...

10.2139/ssrn.4410852 preprint EN 2023-01-01

A wealth of field facts, including the high human pressure on rivers, eutrophication danger and complexity in-river phenomena (causing difficulties in water quality modelling) revealed need to offer reliable tools for pollutant transport modelling understanding estimation complex behaviour.This paper presents an application ADModel (a detailed advection dispersion model) case River Swale (UK), order show why improved representation (a) hydrodynamic river characteristics (b) transformations;...

10.24193/subbchem.2022.1.05 article EN Studia Universitatis Babeș-Bolyai Chemia 2022-03-30

Abstract The knowledge gaps approached in this research are related to the dynamic modelling of pickling process (the lack predictability and simplicity existing models) operation (its dependence on initial conditions, such as immersed surface, mass, corrosion inhibitor concentration). Original contributions regarding identification optimum concentration, forecast rate appropriate timing for acidic bath change, offered with help a decision-making tool (PickT), developed, verified...

10.21203/rs.3.rs-2218524/v1 preprint EN cc-by Research Square (Research Square) 2022-11-15
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