Ecology and the Biodeterioration Environment

Pournou, Anastasia

doi:10.1007/978-3-030-46504-9_2

Cited by 1 publication

(1 citation statement)

References 133 publications

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“…Furthermore, Figure 11 illustrates the lowest rate of turbidity values was 3.68 (NTU) in the second period (1982)(1983), and the highest was 40.01 (NTU) in the eighth period (2019)(2020). Generally, the turbidity of water is caused by suspended particles such as clay and silt, as well as fine pieces of organic and inorganic materials, besides plant and animal plankton and other microorganisms such as protozoa (Pournou, 2020).…”

Section: Agjsrmentioning

confidence: 99%

New model of long-term changes in spatiotemporal patterns of water quality across Shatt-Al-Arab River by applying GIS technique, from 1976 to 2020

Lazem

2023

AGJSR

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PurposeUsing a combination of the geographical information system (GIS) and the Canadian water quality index (WQI), the current study sought to provide a long-term general assessment of the water quality of the Shatt Al-Arab River (SAAR), focusing on its suitability for living organisms. Likewise, SPSS statistics was used to develop a nonlinear WQI regression model for the study area.Design/methodology/approachThe study required four decades of data collection on some environmental characteristics of river water. After that, calculate the WQI and conduct the spatial analysis. Eight variables in total, including water temperature, dissolved oxygen, potential hydrogen ions, electrical conductivity (EC), biological oxygen demand, turbidity, nitrate and phosphate, were chosen to calculate the WQI.FindingsThroughout the study periods, the WQI values varied from 55.2 to 79.83, falling into the categories of four (marginal) and three (fair), with the sixth period (2007–2008) showing the most decline. The present research demonstrated that the high concentration of phosphates, the high EC values, and minor changes in the other environmental factors are the major causes of the decline in water quality. The variations in ecological variables' overlap are a senior contributor to changes in water quality in general. Notably, using GIS in conjunction with the WQI has shown to be very effective in reducing the time and effort spent on investigating water quality while obtaining precise findings and information at the lowest possible expense. Calibration and validation of the developed model showed that this model had a perfect estimate of the WQI value. Due to its flexibility and impartiality, this study recommends using the proposed model to estimate and predict the WQI in the study area.Originality/valueEven though the water quality of the SAAR has been the subject of numerous studies, this is the only long-term investigation that has been done to evaluate and predict its water quality.

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Section: Agjsrmentioning

confidence: 99%

New model of long-term changes in spatiotemporal patterns of water quality across Shatt-Al-Arab River by applying GIS technique, from 1976 to 2020

Lazem

2023

AGJSR

View full text Add to dashboard Cite

show abstract

Ecology and the Biodeterioration Environment

Cited by 1 publication

References 133 publications

New model of long-term changes in spatiotemporal patterns of water quality across Shatt-Al-Arab River by applying GIS technique, from 1976 to 2020

New model of long-term changes in spatiotemporal patterns of water quality across Shatt-Al-Arab River by applying GIS technique, from 1976 to 2020

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