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Retraction published on 22 February 2019, see Sustainability 2019, 11(4), 1159.
Open AccessArticle

Modeling Spatial Distribution of Some Contamination within the Lower Reaches of Diyala River Using IDW Interpolation

1
Department of Civil Engineering, Al-Mustansiriayah University, Baghdad 1001, Iraq
2
Department of Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, 97187 Lulea, Sweden
3
Department of Environment Engineering, College of Engineering, University of Babylon, Babylon 51002, Iraq
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(1), 22; https://doi.org/10.3390/su10010022
Received: 9 November 2017 / Revised: 18 December 2017 / Accepted: 21 December 2017 / Published: 22 December 2017
The aim of this research was to simulate the water quality along the lower course of the Diyala River using Geographic Information Systems (GIS) techniques. For this purpose, the samples were taken at 24 sites along the study area. The parameters: total dissolved solids (T.D.S), total suspended solids (T.S.S), iron (Fe), copper (Cu), chromium (Cr), and manganese (Mn) were considered. Water samples were collected on a monthly basis for a duration of five years. The adopted analyzing approach was tested by calculating the mean absolute error (MAE) and the correlation coefficient (R) between observed water samples and predicted results. The result showed a percentage error less than 10% and significant correlation at R > 89% for all pollutant indicators. It was concluded that the accuracy of the applied model to simulate the river pollutants can decrease the number of monitoring station to 50%. Additionally, a distribution map for the concentrations’ results indicated that many of the major pollution indicators did not satisfy the river water quality standards. View Full-Text
Keywords: ArcGIS; river pollution indices; monitoring points; interpolation; sustainability ArcGIS; river pollution indices; monitoring points; interpolation; sustainability
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Madhloom, H.M.; Al-Ansari, N.; Laue, J.; Chabuk, A. Modeling Spatial Distribution of Some Contamination within the Lower Reaches of Diyala River Using IDW Interpolation. Sustainability 2018, 10, 22.

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