<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-28T19:08:01Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/65495" metadataPrefix="mods">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/65495</identifier><datestamp>2024-02-01T14:13:59Z</datestamp><setSpec>com_10324_1157</setSpec><setSpec>com_10324_931</setSpec><setSpec>com_10324_894</setSpec><setSpec>col_10324_1298</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Pérez Bartolomé, Isidro Alberto</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Sánchez Gómez, María Luisa</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>García Pérez, María Ángeles</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Pardo Gómez, Nuria</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2024-02-01T09:39:20Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2024-02-01T09:39:20Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2013</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">Science of the Total Environment 456–457 (2013) 239–245</mods:identifier>
<mods:identifier type="issn">0048-9697</mods:identifier>
<mods:identifier type="uri">https://uvadoc.uva.es/handle/10324/65495</mods:identifier>
<mods:identifier type="doi">10.1016/j.scitotenv.2013.03.075</mods:identifier>
<mods:identifier type="publicationfirstpage">239</mods:identifier>
<mods:identifier type="publicationlastpage">245</mods:identifier>
<mods:identifier type="publicationtitle">Science of The Total Environment</mods:identifier>
<mods:identifier type="publicationvolume">456-457</mods:identifier>
<mods:abstract>CO2 concentrations recorded for two years using a Picarro G1301 analyser at a rural site were studied applying&#xd;
two procedures. Firstly, the smoothing kernel method, which to date has been used with one linear and&#xd;
another circular variable, was used with pairs of circular variables: wind direction, time of day, and time of&#xd;
year, providing that the daily cycle was the prevailing cyclical evolution and that the highest concentrations&#xd;
were justified by the influence of one nearby city source, which was only revealed by directional analysis.&#xd;
Secondly, histograms were obtained, and these revealed most observations to be located between 380 and&#xd;
410 ppm, and that there was a sharp contrast during the year. Finally, histograms were fitted to 14 distributions,&#xd;
the best known using analytical procedures, and the remainder using numerical procedures. RMSE was&#xd;
used as the goodness of fit indicator to compare and select distributions. Most functions provided similar&#xd;
RMSE values. However, the best fits were obtained using numerical procedures due to their greater flexibility,&#xd;
the triangular distribution being the simplest function of this kind. This distribution allowed us to identify&#xd;
directions and months of noticeable CO2 input (SSE and April-May, respectively) as well as the daily cycle&#xd;
of the distribution symmetry. Among the functions whose parameters were calculated using an analytical&#xd;
expression, Erlang distributions provided satisfactory fits for monthly analysis, and gamma for the rest. By&#xd;
contrast, the Rayleigh and Weibull distributions gave the worst RMSE values.</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/restrictedAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">© 2013 Elsevier B.V. All rights reserved</mods:accessCondition>
<mods:titleInfo>
<mods:title>Carbon dioxide at an unpolluted site analysed with the smoothing kernel method and skewed distributions</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/article</mods:genre>
</mods:mods></metadata></record></GetRecord></OAI-PMH>