Statistical analysis of the best GIS interpolation method for bearing capacity estimation in An-Najaf City, Iraq

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Al‑Mamoori, Sohaib KareemDepartment of Environmental Planning, Faculty of Physical Planning, University of Kufa, Najaf, Iraq (författare)

Statistical analysis of the best GIS interpolation method for bearing capacity estimation in An-Najaf City, Iraq

Artikel/kapitelEngelska2021

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2021-10-03
Springer,2021
electronicrdacarrier

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LIBRIS-ID:oai:DiVA.org:ltu-87321
https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-87321URI
https://doi.org/10.1007/s12665-021-09971-2DOI

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Språk:engelska
Sammanfattning på:engelska

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Validerad;2021;Nivå 2;2021-10-04 (alebob)
The presence of an economical solution to predict soil behaviour is essential for new construction areas. This paper aims to investigate the ultimate interpolation method for predicting the soil bearing capacity of An-Najaf city-Iraq based on field investigation information. Firstly, the engineering bearing capacity was calculated based on the in-site N-SPT values using dynamic loading for 464 boreholes with depths of 0–2 m, using the Meyerhof formula. The data then were classified and imported to the GIS program to apply the interpolation methods. Four deterministic and two geostatistical interpolation methods were applied to produce six bearing capacity maps. The statistical analyses were performed using two methods: the common cross-validation method by the coefficient of determination (R2) and root mean square error (RMSE), where the results showed that ordinary kriging (OK) is the ultimate method with the least RMSE and highest R2. These results were confusing so, the backward elimination regression (BER) procedure was applied to gain the definite result. The results of BER show that among all the deterministic methods, the IDW is the optimal and most significant interpolation method. The result of geostatistical methods shows that EBK is the best method in our case than the OK method. BER also applied to all six methods and shows that IDW is the ultimate significant method. The results indicate no general ultimate interpolation method for all cases and datasets type; therefore, the statistical analyses must be performed for each case and dataset.

Ämnesord och genrebeteckningar

TEKNIK OCH TEKNOLOGIER Samhällsbyggnadsteknik Geoteknik hsv//swe
ENGINEERING AND TECHNOLOGY Civil Engineering Geotechnical Engineering hsv//eng
GIS-based interpolation
Inverse distance weighting
Bearing capacity
Backward elimination regression
Cross-validation
Soil Mechanics
Geoteknik

Biuppslag (personer, institutioner, konferenser, titlar ...)

Al‑Maliki, Laheab A.Department of Regional Planning, Faculty of Physical Planning, University of Kufa, Najaf, Iraq (författare)
Al‑Sulttan, Ahmed HashemDepartment of Environmental Planning, Faculty of Physical Planning, University of Kufa, Najaf, Iraq (författare)
El‑Tawil, KhaledFaculty of Engineering, Lebanese University, Beirut, Lebanon (författare)
Al-Ansari, Nadhir,1947-Luleå tekniska universitet,Geoteknologi(Swepub:ltu)nadhir (författare)
Department of Environmental Planning, Faculty of Physical Planning, University of Kufa, Najaf, IraqDepartment of Regional Planning, Faculty of Physical Planning, University of Kufa, Najaf, Iraq (creator_code:org_t)

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Ingår i:Environmental Earth Sciences: Springer80:201866-62801866-6299

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Av författaren/redakt...: Al‑Mamoori, Soha ...; Al‑Maliki, Lahea ...; Al‑Sulttan, Ahme ...; El‑Tawil, Khaled; Al-Ansari, Nadhi ...

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