Assessment of For Euphrates River In Al- Najaf Governorate Water Pollution Using Remote Sensing Data
Shatt Al- Kufa (Kufa River) is the major supply of surface waters in Najaf; Water pollution as a result of human activities Different .Water pollution results when contaminants are introduced into the natural environment. releasing inadequately treated wastewater into natural water bodies can le...
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| Format: | Article |
| Language: | English |
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University of Kufa
2019-12-01
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| Series: | Journal of Kufa-Physics |
| Subjects: | |
| Online Access: | https://journal.uokufa.edu.iq/index.php/jkp/article/view/7391 |
| Summary: | Shatt Al- Kufa (Kufa River) is the major supply of surface waters in Najaf; Water pollution as a result of human activities Different .Water pollution results when contaminants are introduced into the natural environment. releasing inadequately treated wastewater into natural water bodies can lead to degradation of aquatic ecosystems In turn, this can lead to public health problems for people living downstream. They may use the same polluted river water for drinking or bathing or irrigation. Water pollution is the leading worldwide cause of death and disease due to water-borne diseases. The method used for modelling the TSS spatial distribution is the empirical modelling Conversion From image pixel values to reflectivity the reflectivity of each TSS concentration was extracted the reflection (r) on the X axis and the TSS concentration on the Y axis were extracted. The purpose of this study is to determine the estimated concentration of total suspended solid (TSS) in the Shatt Al- Kufa as the result of Landsat 8 OLI. As well by correlating the measured and estimated TSS and concentration the data used in this study was collected from Shatt Al- Kufa (10 stations) on 22 April 2019. In conjunction with the Landsat 8 OLI image data, obtained from the USGS site. The results revealed value of TSS in Shatt Al- Kufa can accurately using band 4 (red band).The determinant Coefficient between TSS field and reflectance value of image using band 4 is 0.785.Root Mean Square Error band 4 is 4.5225 ,mean relative error is 1.1649.
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| ISSN: | 2077-5830 2312-6671 |