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Sökning: onr:"swepub:oai:DiVA.org:ltu-94369" > Missing rainfall da...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003249naa a2200409 4500
001oai:DiVA.org:ltu-94369
003SwePub
008221130s2022 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-943692 URI
024a https://doi.org/10.1007/s12517-022-10995-62 DOI
040 a (SwePub)ltu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Abdullah, Mukhaladu Luleå tekniska universitet,Baghdad, Iraq4 aut
2451 0a Missing rainfall data estimation—an approach to investigate different methods: case study of Baghdad
264 c 2022-11-30
264 1b Springer,c 2022
338 a electronic2 rdacarrier
500 a Validerad;2022;Nivå 1;2022-11-30 (johcin)
520 a The missing of the meteorological data in Iraq is common due to malfunction of measuring devices, security status, and human effects. The study tested 17 missing precipitation data estimation methods in Baghdad city as a case study, where, all the surrounding stations around Baghdad experienced the missing of data for various reasons, and some of the missing data are for a full year record. The methods examined in this study are based on different approaches, some of the methods are based upon the distances to the targeted station, others are upon regression factors, and there are also methods that combine several factors. There are also other types of missing data filling methods which depend on imputation and artificial intelligence. The investigation of the most accurate method to find the missing data will assist researchers and decision makers to fill the gap in their analysis in one of the most vulnerable countries in terms of drought and climate changes impacts. Results showed that Expectation Maximization (EM) method utilization has the best results with the least errors, and Multiple Linear Regression (MLR) method was ranked the second best method. In general, all of the applied methods had resulted acceptable interpolations, and it was clear that the combined methods have low significance on the results in comparison with others. All of these findings are limited to the study area meteorological and spatial conditions. 
650 7a TEKNIK OCH TEKNOLOGIERx Samhällsbyggnadsteknikx Geoteknik0 (SwePub)201062 hsv//swe
650 7a ENGINEERING AND TECHNOLOGYx Civil Engineeringx Geotechnical Engineering0 (SwePub)201062 hsv//eng
653 a Missing precipitation
653 a Expectation maximization
653 a Multiple linear regression
653 a Baghdad precipitation
653 a Arid zones precipitation
653 a Soil Mechanics
653 a Geoteknik
700a Al-Ansari, Nadhir,d 1947-u Luleå tekniska universitet,Geoteknologi4 aut0 (Swepub:ltu)nadhir
710a Luleå tekniska universitetb Baghdad, Iraq4 org
773t Arabian Journal of Geosciencesd : Springerg 15q 15x 1866-7511x 1866-7538
856u https://ltu.diva-portal.org/smash/get/diva2:1714652/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-94369
8564 8u https://doi.org/10.1007/s12517-022-10995-6

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