Evidence map›Paper›PMID 32725558›Full record

ArticleEnvironmental science and pollution research international2020

Impact of droughts on industrial emissions into surface waters.

Vasanthakumar N Bhat

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 50% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Waves of change: A systematic literature review of water and environmental justice research.Hydrological sciences journal = Journal des sciences hydrologiques · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Vasanthakumar N BhatLubin School of Business, Pace University, New York, NY, 10038, USA. vbhat@pace.edu.
Pace University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we examine the impact of droughts on industrial emissions into surface waters and transfers to publicly owned treatment works (POTWs). We use industrial discharges into surface waters data from the US Environmental Protection Agency's Toxics Release Inventory (TRI) database. We employ runoffs normalized using previous 61-year average runoffs as a proxy for drought. We match both the discharges into surface waters and the runoffs at the 8-digit hydrologic unit code (HUC) level. Our analysis indicates that normalized runoffs of the current and previous years positively influence industrial emissions into surface waters. We also find that the impact of uneven availability of water on emissions is higher on larger facilities. Normalized runoffs of the current and previous years do not have a statistically significant influence on transfers to publicly owned treatment works. However, normalized runoffs of the previous year do affect transfers of larger facilities. Businesses are dependent on water not only for their operations but to discharge their pollutants as well. Climate change will increase the frequency and intensity of droughts and floods. Therefore, every business that requires significant quantities of water must plan to cope with uneven availability of water.

Indexed as

DroughtsEnvironmental PollutantsClimate ChangeUnited StatesUnited States Environmental Protection AgencyEnvironmental PollutantsDroughtEnvironmental justiceIndustrial emissionsPublicly owned treatment facilitiesSurface watersToxics Release Inventory

Identifiers

PMID32725558
OpenAlexW3045572837

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.