2026-10-06T04:23:38Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33514384 2026-10-02T09:03:57Z category_26914 item_type_3 month_year_10_2026

Field bioremediation trial data and identifiability analysis code for petroleum-contaminated soil, Kyzylorda region, Kazakhstan Maria Radkevich (24756472) Bioremediation bioremediation petroleum hydrocarbons kinetic modelling parameter identifiability Monod kinetics field trial Kazakhstan <p dir="ltr">This deposit contains the raw field data and the complete analysis code behind the study of kinetic model identifiability in field-scale bioremediation of petroleum-contaminated soil.</p><p dir="ltr">The field trial was carried out between April and June 2026 at an oil-waste treatment site in the Kyzylorda region, Kazakhstan (45°42′ N, 65°28′ E). Six plots of 2 × 2 m, each holding 200 kg of soil, received one of the following treatments: an untreated control with no oil; oil with no further treatment; oil with mineral fertiliser; oil with fertiliser and reintroduced indigenous degrading strains; oil with fertiliser and a biopreparation based on the same strains; and oil with biochar. Samples were taken on days 0, 13, 27, 41, 55, 69 and 83 and analysed for total petroleum hydrocarbons, pH, mineralisation, moisture, available nitrogen, phosphorus and potassium, and organic carbon. Air temperature was recorded on site at each sampling date.</p><p dir="ltr">The code fits six kinetic models to these data — zero order, first order, two-compartment, substrate Monod, Haldane and first order with multiplicative nitrogen limitation — and assesses the identifiability of their parameters through standard errors and residual sum-of-squares profiles. A separate Monte Carlo script establishes the degradation depth, number of sampling points and number of contaminant loading levels required for each model class to be identified.</p><p dir="ltr">Contents: field_data.csv (raw monitoring data); kinetic_analysis.py and numerical_experiment.py (analysis code); results_kinetic_parameters.csv, results_model_comparison.csv, results_profile_likelihood.csv, results_KN_series_length.csv and results_specific_rates.csv (computed results). README.md documents the treatments, methods and how to reproduce the output. Running the two scripts reproduces Tables 1–8 of the associated article.</p><p dir="ltr">The field design includes no replication, so differences between treatments are reported as trends rather than confirmed effects. The control plot carried residual contamination from earlier operations and is excluded from the kinetic analysis. Both points are documented in the README.</p><p dir="ltr">Requires Python 3.11 with numpy, scipy and pandas. Released under CC BY 4.0.</p> 2026-10-02T09:03:57Z Dataset Dataset 10.6084/m9.figshare.33514384.v1 https://figshare.com/articles/dataset/Field_bioremediation_trial_data_and_identifiability_analysis_code_for_petroleum-contaminated_soil_Kyzylorda_region_Kazakhstan/33514384 CC BY 4.0