Dergi makalesi Açık Erişim
Evrendilek, Fatih; Denizli, Haluk; Yetis, Hakan; Karakaya, Nusret
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nam##2200000uu#4500</leader> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Denizli, Haluk</subfield> <subfield code="u">Abant Izzet Baysal Univ, Dept Phys, Bolu, Turkey</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Yetis, Hakan</subfield> <subfield code="u">Abant Izzet Baysal Univ, Dept Phys, Bolu, Turkey</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Karakaya, Nusret</subfield> <subfield code="u">Abant Izzet Baysal Univ, Dept Environm Engn, Bolu, Turkey</subfield> </datafield> <datafield tag="909" ind1="C" ind2="4"> <subfield code="p">ENVIRONMENTAL MONITORING AND ASSESSMENT</subfield> <subfield code="v">185</subfield> <subfield code="n">7</subfield> <subfield code="c">5577-5583</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-tubitak-destekli-proje-yayinlari</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="a">Creative Commons Attribution</subfield> <subfield code="u">http://www.opendefinition.org/licenses/cc-by</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.1007/s10661-012-2968-3</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Monitoring spatiotemporal variations of diel radon concentrations in peatland and forest ecosystems based on neural network and regression models</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="a">Evrendilek, Fatih</subfield> <subfield code="u">Abant Izzet Baysal Univ, Dept Environm Engn, Bolu, Turkey</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="o">oai:zenodo.org:17117</subfield> <subfield code="p">user-tubitak-destekli-proje-yayinlari</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="2">opendefinition.org</subfield> <subfield code="a">cc-by</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2013-01-01</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="u">https://aperta.ulakbim.gov.trrecord/17117/files/bib-8fc08cd1-20af-4ae4-867f-06b34b580740.txt</subfield> <subfield code="z">md5:202a113ea6a10363a5fdfa59902128a6</subfield> <subfield code="s">268</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <controlfield tag="005">20210315095022.0</controlfield> <controlfield tag="001">17117</controlfield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">publication</subfield> <subfield code="b">article</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a">Concentrations of outdoor radon-222 (Rn-222) in temperate grazed peatland and deciduous forest in northwestern Turkey were measured, compared, and modeled using artificial neural networks (ANNs) and multiple nonlinear regression (MNLR) models. The best-performing multilayer perceptron model selected out of 28 ANNs considerably enhanced accuracy metrics in emulating Rn-222 concentrations relative to the MNLR model. The two ecosystems had similar diel patterns with the lowest Rn-222 concentrations in the afternoon and the highest ones near dawn. Mean level (5.1 + 2.5 Bq m(-3) h(-1)) of Rn-222 in the forest was three times smaller than that (15.8 + 9.7 Bq m(-3)) of Rn-222 in the peatland. Mean Rn-222 level had negative and positive relationships with air temperature and relative humidity, respectively.</subfield> </datafield> </record>
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