Modeling and Monitoring Subsurface Water Quality Indicators of Sistan Plain using Geographic Information Systems
Investigating the spatial variation of groundwater quality parameters is important in identifying the quality of the aquifer and contaminating resources, and determining the most appropriate management solutions. Geostatistical and GIS methods can be useful tools in this regard. The aim of this stud...
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| Format: | Article |
| Language: | fas |
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Iranian Rainwater Catchment Systems Association
2019-04-01
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| Series: | محیط زیست و مهندسی آب |
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| Online Access: | http://www.jewe.ir/article_82834_d3448dd90dc5370d14e9f35b78c29b2e.pdf |
| _version_ | 1827904416300138496 |
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| author | Halimeh Piri |
| author_facet | Halimeh Piri |
| author_sort | Halimeh Piri |
| collection | DOAJ |
| description | Investigating the spatial variation of groundwater quality parameters is important in identifying the quality of the aquifer and contaminating resources, and determining the most appropriate management solutions. Geostatistical and GIS methods can be useful tools in this regard. The aim of this study was to evaluate the geostatistical methods in order to investigate and analyze the spatial amount of salinity, nitrate, and total dissolved solids of subsurface waters of Sistan Plain in northern Sistan and Baluchestan province. For this purpose, ordinary Kriging (OK) and simple Kriging (SK) and certain methods such as inverse distance weigthing (IDW), local polynomial interpolation (LPI), global polynomial interpolation (GPI) and radial basis function (RBF) were used. First, the normality of the data was investigated and the non-normal data were normalized by logarithmic method. Then analysis of variograms was performed. The results were evaluated using a cross-evaluation method. The fitting results of the models showed that the EC and TDS indices follow the Gaussian model and the nitrate index follows the spherical model, and simple kriging method is suitable for salinity and nitrate mapping and ordinary kriging for zoning maps of TDS. Moreover, based on the Schuller's diagram, in terms of TDS, sub-surface waters of the region are classified as good to acceptable and in terms of salinity for agricultural use in the moderate to severe problem class. |
| first_indexed | 2024-03-13T00:27:08Z |
| format | Article |
| id | doaj.art-7af8278395ed4847bd63d2461df4b341 |
| institution | Directory Open Access Journal |
| issn | 2476-3683 |
| language | fas |
| last_indexed | 2024-03-13T00:27:08Z |
| publishDate | 2019-04-01 |
| publisher | Iranian Rainwater Catchment Systems Association |
| record_format | Article |
| series | محیط زیست و مهندسی آب |
| spelling | doaj.art-7af8278395ed4847bd63d2461df4b3412023-07-11T04:44:22ZfasIranian Rainwater Catchment Systems Associationمحیط زیست و مهندسی آب2476-36832019-04-0151152310.22034/jewe.2019.138356.126882834Modeling and Monitoring Subsurface Water Quality Indicators of Sistan Plain using Geographic Information SystemsHalimeh Piri0Assist. Professor, Department of Water Engineering, Faculty of Agriculture, Zabol University, Zabol, IranInvestigating the spatial variation of groundwater quality parameters is important in identifying the quality of the aquifer and contaminating resources, and determining the most appropriate management solutions. Geostatistical and GIS methods can be useful tools in this regard. The aim of this study was to evaluate the geostatistical methods in order to investigate and analyze the spatial amount of salinity, nitrate, and total dissolved solids of subsurface waters of Sistan Plain in northern Sistan and Baluchestan province. For this purpose, ordinary Kriging (OK) and simple Kriging (SK) and certain methods such as inverse distance weigthing (IDW), local polynomial interpolation (LPI), global polynomial interpolation (GPI) and radial basis function (RBF) were used. First, the normality of the data was investigated and the non-normal data were normalized by logarithmic method. Then analysis of variograms was performed. The results were evaluated using a cross-evaluation method. The fitting results of the models showed that the EC and TDS indices follow the Gaussian model and the nitrate index follows the spherical model, and simple kriging method is suitable for salinity and nitrate mapping and ordinary kriging for zoning maps of TDS. Moreover, based on the Schuller's diagram, in terms of TDS, sub-surface waters of the region are classified as good to acceptable and in terms of salinity for agricultural use in the moderate to severe problem class.http://www.jewe.ir/article_82834_d3448dd90dc5370d14e9f35b78c29b2e.pdfwater qualityschuller's diagramcalifornia methodsistan plain |
| spellingShingle | Halimeh Piri Modeling and Monitoring Subsurface Water Quality Indicators of Sistan Plain using Geographic Information Systems محیط زیست و مهندسی آب water quality schuller's diagram california method sistan plain |
| title | Modeling and Monitoring Subsurface Water Quality Indicators of Sistan Plain using Geographic Information Systems |
| title_full | Modeling and Monitoring Subsurface Water Quality Indicators of Sistan Plain using Geographic Information Systems |
| title_fullStr | Modeling and Monitoring Subsurface Water Quality Indicators of Sistan Plain using Geographic Information Systems |
| title_full_unstemmed | Modeling and Monitoring Subsurface Water Quality Indicators of Sistan Plain using Geographic Information Systems |
| title_short | Modeling and Monitoring Subsurface Water Quality Indicators of Sistan Plain using Geographic Information Systems |
| title_sort | modeling and monitoring subsurface water quality indicators of sistan plain using geographic information systems |
| topic | water quality schuller's diagram california method sistan plain |
| url | http://www.jewe.ir/article_82834_d3448dd90dc5370d14e9f35b78c29b2e.pdf |
| work_keys_str_mv | AT halimehpiri modelingandmonitoringsubsurfacewaterqualityindicatorsofsistanplainusinggeographicinformationsystems |