Optimization of saturated hydraulic conductivity estimation using kriging in drainage networks
Abstract Statistical analysis of saturated hydraulic conductivity is the fundamental of engineering plans for water resource projects. In the other words, project solutions and designs depend directly on the accuracy of these statistical analyses and the methods that develop them to studied area. On...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-03-01
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| Series: | Applied Water Science |
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| Online Access: | https://doi.org/10.1007/s13201-023-01897-3 |
| _version_ | 1827966181452021760 |
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| author | Yaser Hoseini |
| author_facet | Yaser Hoseini |
| author_sort | Yaser Hoseini |
| collection | DOAJ |
| description | Abstract Statistical analysis of saturated hydraulic conductivity is the fundamental of engineering plans for water resource projects. In the other words, project solutions and designs depend directly on the accuracy of these statistical analyses and the methods that develop them to studied area. One of the recent methods was used to estimate the variables such as hydraulic conductivity is Kriging method. In this study, GIS software was used for this purpose and kriging method was used to estimate the saturated hydraulic conductivity of the soil. Spherical model with nugget effect of 0.0039 and sill of 0.0262 was the best variogram for determining soil hydraulic conductivity in this method, which expressed the high strength of regional variable structure in the studied area. The results showed that the simple kriging method with a regression coefficient of 0.82 has the highest accuracy in modeling the saturated hydraulic conductivity function. Also, the results showed that the geostatistical kriging method for modeling soil hydraulic conductivity index has a higher accuracy in determining saturated soil hydraulic conductivity than the traditional Thiessen method. |
| first_indexed | 2024-04-09T17:44:55Z |
| format | Article |
| id | doaj.art-4e9b3a3505ad4a7c9c0fdcb4498f3390 |
| institution | Directory Open Access Journal |
| issn | 2190-5487 2190-5495 |
| language | English |
| last_indexed | 2024-04-09T17:44:55Z |
| publishDate | 2023-03-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Applied Water Science |
| spelling | doaj.art-4e9b3a3505ad4a7c9c0fdcb4498f33902023-04-16T11:21:41ZengSpringerOpenApplied Water Science2190-54872190-54952023-03-011341910.1007/s13201-023-01897-3Optimization of saturated hydraulic conductivity estimation using kriging in drainage networksYaser Hoseini0Moghan College of Agriculture & Natural Resources, University of Mohaghegh ArdabiliAbstract Statistical analysis of saturated hydraulic conductivity is the fundamental of engineering plans for water resource projects. In the other words, project solutions and designs depend directly on the accuracy of these statistical analyses and the methods that develop them to studied area. One of the recent methods was used to estimate the variables such as hydraulic conductivity is Kriging method. In this study, GIS software was used for this purpose and kriging method was used to estimate the saturated hydraulic conductivity of the soil. Spherical model with nugget effect of 0.0039 and sill of 0.0262 was the best variogram for determining soil hydraulic conductivity in this method, which expressed the high strength of regional variable structure in the studied area. The results showed that the simple kriging method with a regression coefficient of 0.82 has the highest accuracy in modeling the saturated hydraulic conductivity function. Also, the results showed that the geostatistical kriging method for modeling soil hydraulic conductivity index has a higher accuracy in determining saturated soil hydraulic conductivity than the traditional Thiessen method.https://doi.org/10.1007/s13201-023-01897-3Hydraulic conductivityGeostatisticalThiessenDrainage |
| spellingShingle | Yaser Hoseini Optimization of saturated hydraulic conductivity estimation using kriging in drainage networks Applied Water Science Hydraulic conductivity Geostatistical Thiessen Drainage |
| title | Optimization of saturated hydraulic conductivity estimation using kriging in drainage networks |
| title_full | Optimization of saturated hydraulic conductivity estimation using kriging in drainage networks |
| title_fullStr | Optimization of saturated hydraulic conductivity estimation using kriging in drainage networks |
| title_full_unstemmed | Optimization of saturated hydraulic conductivity estimation using kriging in drainage networks |
| title_short | Optimization of saturated hydraulic conductivity estimation using kriging in drainage networks |
| title_sort | optimization of saturated hydraulic conductivity estimation using kriging in drainage networks |
| topic | Hydraulic conductivity Geostatistical Thiessen Drainage |
| url | https://doi.org/10.1007/s13201-023-01897-3 |
| work_keys_str_mv | AT yaserhoseini optimizationofsaturatedhydraulicconductivityestimationusingkrigingindrainagenetworks |