Evidence map›Paper›PMID 31902082›Full record

ArticleEnvironmental science and pollution research international2020

Impact of rapid urbanization on the surface water's quality: a long-term environmental and physicochemical investigation of Tajan river, Iran (2007-2017).

Nahid Vatanpour, Amir Mohammad Malvandi, Hossein Hedayati Talouki, Paola Gattinoni, Laura Scesi

Abstract read
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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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Neuroimmune disruptions from naturally occurring levels of mycotoxins.Environmental science and pollution research international · 2021
    Review
  7. Article
  8. Article
  9. Ocean Acidification and Human Health.International journal of environmental research and public health · 2020
    Review
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

5 authors at 3 institutions in 2 countries.

Nahid VatanpourDepartment of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo Da Vinci, 32, 20133, Milan, Italy. nahid.vatanpour@polimi.it.
Amir Mohammad MalvandiScience and Technology Pole, IRCCS Multimedica, Via Gaudenzio Fantoli, 16/15, 20138, Milan, Italy.
Hossein Hedayati TaloukiDepartment of Geology, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran.
Paola GattinoniDepartment of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo Da Vinci, 32, 20133, Milan, Italy.
Laura ScesiDepartment of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo Da Vinci, 32, 20133, Milan, Italy.
Politecnico di Milano · ITFerdowsi University of Mashhad · IRMultiMedica · IT

Funding

Fondazione Fratelli Confalonieri 2018
6 · The paper itself

Abstract

Sustainable development of our society requires protection and monitoring of aquatic environments, as they are the pivotal water resources and niche for wildlife animals. In this research, physicochemical parameters of Tajan river's water were determined and compared with standards to assess the rural and human activity impact on water quality. First, monitoring and analyzing the water quality of the river were performed for 11 years (from 2007 to 2017). Based on calculated water quality index (WQI) values, Tajan river's water quality falls into four categories: good water with WQI less than 30 at upstream and middle of the river, poor water, and very poor to even unsuitable water (WQI ranges from 86 to 134) at the more urbanized locations. The high values of WQI are due to an elevated concentration of sulfate, nitrate, total dissolved solids (TDS), and chloride substances. The source of contaminations, according to the geochemistry of the area and having more than 90% growth rate in the population near to the most polluted location, is probably anthropogenic activities. Then, the long-term experimental data set has been utilized for developing a statistical model to be used for prediction of water quality with a few chemical analyses, generating a rapid and low-cost water quality evaluation for this river. The model was developed based on the stepwise multiple linear regression (MLR) approach and confirmed the experimental observation data of the most defective elements on WQI were respectively SO

Indexed as

Water Pollutants, ChemicalWater QualityEnvironmental MonitoringIranRiversUrbanizationWater Pollutants, ChemicalPhysicochemical analysisRapid urbanizationTajan riverWater pollutionWater Quality Index

Identifiers

PMID31902082
OpenAlexW2998519222

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.