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Modeling Spatial Distribution of Some Contamination within the Lower Reaches of Diyala River Using IDW Interpolation
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering. Department of Civil Engineering, Al-Mustansiriayah University, Baghdad 1001, Iraq.ORCID iD: 0000-0003-0203-918X
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0002-6790-2653
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0003-1935-1743
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering. Department of Environment Engineering, College of Engineering, University of Babylon, Babylon 51002, Iraq.ORCID iD: 0000-0001-8723-9708
2018 (English)In: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 10, no 1, article id 22Article in journal (Refereed) Published
Abstract [en]

The aim of this research was to simulate the water quality along the lower course of theDiyala 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 indicatedthat many of the major pollution indicators did not satisfy the river water quality standards.

Place, publisher, year, edition, pages
MDPI , 2018. Vol. 10, no 1, article id 22
Keyword [en]
ArcGIS; river pollution indices; monitoring points; interpolation; sustainability
National Category
Geotechnical Engineering
Research subject
Soil Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-67119DOI: 10.3390/su10010022ISI: 000425082600021Scopus ID: 2-s2.0-85038850624OAI: oai:DiVA.org:ltu-67119DiVA, id: diva2:1169182
Note

Validerad;2018;Nivå 2;2018-01-02 (svasva)

Available from: 2017-12-22 Created: 2017-12-22 Last updated: 2018-04-23Bibliographically approved

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