Data · dataset · 2025
Experimental Dataset for Two-Phase Micropollutant Abatement During Pilot-Scale Drinking Water Ozonation
Listed in ScienceDB
This dataset comprises experimental measurements from a pilot-scale study investigating the abatement of micropollutants during ozonation in drinking water treatment.
Description
The data were collected over a one-year period (2007) at the Louisville Water Company (LWC) pilot plant, which simulates full-scale water treatment processes. The study focuses on ozone-based degradation of micropollutants under varying water quality conditions and operational parameters.Key ParametersThe dataset includes the following variables, categorized into water quality parameters and ozonation process parameters:1.
Water Quality ParameterspH: Measured electrometrically (range: 6.62–8.76).Temperature (Temp): Recorded in °C (range: 12.5–29.3).Alkalinity (Alk): Measured as mg/L CaCO₃ (range: 49–104).UV254: Ultraviolet absorbance at 254 nm (range: 0.025–0.110 cm⁻¹).Inorganic Carbon (IC): Derived from pH and alkalinity (range: 63.9–101.2 mg/L as CaCO₃).2. Ozonation Process ParametersOzone Dose (O₃): Applied ozone concentration in mg/L (range: 0.5–8.0).Initial Ozone Demand (IOD): Calculated as the difference between applied and residual ozone (range: 0.41–2.68 mg/L).Ozone Decay Rate (*k*): First-order decay rate in min⁻¹ (range: 0.019–0.288).Ozone Exposure (CT): Product of residual ozone concentration and contact time (range: 3.89–33.52 min·mg/L).Experimental SetupPilot Plant: Two parallel treatment trains with modules for coagulation, sedimentation, softening, filtration, and ozonation.Ozone Addition Points: Three locations tested—raw water, settled water, and filter influent—to assess water matrix effects.Source Water: Ohio River water, characterized by seasonal variations in temperature, DOC (2.5–3.5 mg/L), and UV254 absorbance.Data ApplicationsThis dataset is valuable for:Modeling Ozone Kinetics: Correlate CT values with micropollutant degradation.Process Optimization: Evaluate ozone dosing strategies under varying water qualities.Comparative Studies: Benchmark performance across different treatment stages (raw vs. settled water).
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.28185 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Computed tomography 50% · Environmental engineering 73%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.28185 | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4011 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (73%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:ct | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (50%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |