Wastewater Treatment Facility Data: Ammonia (doi:10.7910/DVN/C3XB64)

View:

Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
Entire Codebook

Document Description

Citation

Title:

Wastewater Treatment Facility Data: Ammonia

Identification Number:

doi:10.7910/DVN/C3XB64

Distributor:

Harvard Dataverse

Date of Distribution:

2023-02-24

Version:

3

Bibliographic Citation:

Mastin, Natalie; Cath, Tzahi Y.; Hering, Amanda S., 2023, "Wastewater Treatment Facility Data: Ammonia", https://doi.org/10.7910/DVN/C3XB64, Harvard Dataverse, V3

Study Description

Citation

Title:

Wastewater Treatment Facility Data: Ammonia

Identification Number:

doi:10.7910/DVN/C3XB64

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/C3XB64

Study Scope

Keywords:

Earth and Environmental Sciences, Mathematical Sciences

Abstract:

A dataset of water quality measurements at different locations in one of three activated sludge basin in a wastewater treatment facility. The activated sludge basin is divided into nine zones, which are shown in the provided process diagram and described in wwt_ammonia.Rd. Multiple probes are used to measure dissolved oxygen, ammonia, and nitrate concentrations. One goal with this dataset is to build a model for ammonia, measured in Zone 7.

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

Related Publications

Citation

Identification Number:

https://doi.org/10.1016/j.jwpe.2020.101389

Bibliographic Citation:

Newhart, K. B., Marks, C. A., Rauch-Williams, T., Cath. T. Y., and Hering, A. S. (2020) “Hybrid statistical-machine learning ammonia forecasting in continuous activated sludge treatment for improved process control,” Journal of Water Process Engineering, 37: 101389.

Other Study-Related Materials

Label:

wwt_ammonia.csv

Notes:

text/csv

Other Study-Related Materials

Label:

wwt_ammonia_diagram.jpg

Text:

Process diagram

Notes:

image/jpeg

Other Study-Related Materials

Label:

wwt_ammonia.Rd

Text:

R documentation file

Notes:

application/octet-stream

Other Study-Related Materials

Label:

wwt_ammonia.rda

Notes:

application/x-rlang-transport