{"type": "FeatureCollection", "features": [{"id": "10.1016/j.watres.2019.114932", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:17:24Z", "type": "Journal Article", "created": "2019-07-30", "title": "Assessing practical identifiability during calibration and cross-validation of a structured model for high-solids anaerobic digestion", "description": "High-solids anaerobic digestion (HS-AD) of the organic fraction of municipal solid waste (OFMSW) is operated at a total solid (TS) content\u202f\u2265\u202f10% to enhance the waste treatment economy, though it might be associated to free ammonia (NH3) inhibition. This study aimed to calibrate and cross-validate a HS-AD model for homogenized reactors in order to assess the effects of high NH3 levels in HS-AD of OFMSW, but also to evaluate the suitability of the reversible non-competitive inhibition function to reproduce the effect of NH3 on the main acetogenic and methanogenic populations. The practical identifiability of structural/biochemical parameters (i.e. 35) and initial conditions (i.e. 32) was evaluated using batch experiments at different TS and/or inoculum-to-substrate ratios. Variance-based global sensitivity analysis and approximate Bayesian computation were used for parameter optimization. The experimental data in this study permitted to estimate up to 8 biochemical parameters, whereas the rest of parameters and biomass contents were poorly identifiable. The study also showed the relatively high levels of NH3 (i.e. up to 2.3\u202fg\u202fN/L) and ionic strength (i.e. up to 0.9\u202fM) when increasing TS in HS-AD of OFMSW. However, the NH3 non-competitive function was unable to capture the acetogenic/methanogenic inhibition. Therefore, the calibration emphasized the need for target-oriented experimental data to enhance the practical identifiability and the predictive capabilities of structured HS-AD models, but also the need for further testing the NH3 inhibition function used in these simulations.", "keywords": ["[SDE] Environmental Sciences", "[SDV]Life Sciences [q-bio]", "0207 environmental engineering", "high-solids anaerobic digestion model", "Bayes Theorem", "02 engineering and technology", "Solid Waste", "01 natural sciences", "7. Clean energy", "6. Clean water", "Refuse Disposal", "12. Responsible consumption", "[SDV] Life Sciences [q-bio]", "High-solids anaerobic digestion model", " ammonia inhibition", " ionic strength", " global sensitivity analysis", " approximate bayesian computation", "Bioreactors", "global sensitivity analysis", "[SDE]Environmental Sciences", "Calibration", "High-solids anaerobic digestion model", "Anaerobiosis", "ionic strength", "Methane", "ammonia inhibition", "approximate bayesian computation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.iris.unina.it/bitstream/11588/757589/1/Post-print%20for%20IRIS.pdf"}, {"href": "https://hal.inrae.fr/hal-02623443/file/S0043135419307067.pdf"}, {"href": "https://doi.org/10.1016/j.watres.2019.114932"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.watres.2019.114932", "name": "item", "description": "10.1016/j.watres.2019.114932", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.watres.2019.114932"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=+approximate+bayesian+computation&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=+approximate+bayesian+computation&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=+approximate+bayesian+computation&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=+approximate+bayesian+computation&offset=1", "hreflang": "en-US"}], "numberMatched": 1, "numberReturned": 1, "distributedFeatures": [], "timeStamp": "2026-07-26T13:55:14.771021Z"}