Aeration Data (doi:10.7910/DVN/EUW7TN)

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Part 2: Study Description
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Document Description

Citation

Title:

Aeration Data

Identification Number:

doi:10.7910/DVN/EUW7TN

Distributor:

Harvard Dataverse

Date of Distribution:

2023-02-24

Version:

2

Bibliographic Citation:

Mastin, Natalie; Cath, Tzahi Y.; Hering, Amanda S., 2023, "Aeration Data", https://doi.org/10.7910/DVN/EUW7TN, Harvard Dataverse, V2

Study Description

Citation

Title:

Aeration Data

Identification Number:

doi:10.7910/DVN/EUW7TN

Authoring Entity:

Mastin, Natalie (Baylor University)

Cath, Tzahi Y. (Colorado School of Mines)

Hering, Amanda S. (Baylor University)

Grant Number:

HDR:DSC 1924146

Distributor:

Harvard Dataverse

Access Authority:

Hering, Amanda S.

Depositor:

Mastin, Natalie

Date of Deposit:

2023-02-22

Holdings Information:

https://doi.org/10.7910/DVN/EUW7TN

Study Scope

Keywords:

Earth and Environmental Sciences, Mathematical Sciences

Abstract:

The data come from a wastewater treatment facility that uses sensors to optimize aeration basin performance. In an aeration basin, air is pumped through water by large blowers to provide microbiota with oxygen, allowing them to metabolize and consume influent contaminants like ammonia and carbon. The rate at which influent contaminants are metabolized depends primarily on the availability of oxygen and "food" in the aeration tank. Thus, the levels of oxygen must be high enough to allow the microbiota to effectively carry out their metabolic functions, without being too high because excessive aeration would waste energy and money. The carbon consumption rate (CCR) sensor is a special sensor that can monitor the rate at which contaminants are metabolized. These data show problems in aeration basin dissolved oxygen, which frequently rises or falls out of the recommended range, reflecting a mismatch between food and oxygen levels. This results in either insufficient or excess oxygen remaining in the tank. Time stamps were standardized to represent 15 minute intervals, and known sensor misreadings were removed.

Methodology and Processing

Sources Statement

Data Access

Notes:

This dataset is to be published under a CC BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/

Other Study Description Materials

Other Study-Related Materials

Label:

sensor_aeration.csv

Notes:

text/csv

Other Study-Related Materials

Label:

sensor_aeration_diagram.png

Text:

Process diagram

Notes:

image/png

Other Study-Related Materials

Label:

sensor_aeration.Rd

Text:

R documentation file

Notes:

application/octet-stream

Other Study-Related Materials

Label:

sensor_aeration.rda

Text:

R data object

Notes:

application/x-rlang-transport